CN105787240A - Oil consumption prediction method and device - Google Patents

Abstract

The invention discloses an oil consumption prediction method and device. The method comprises the following steps: determining at least one kind of target road condition information included in a road to be predicted according to an electronic map; for each kind of target road condition information, calling an oil consumption model corresponding to the target road condition information from a corresponding relationship between preset road condition information and the an consumption model, and calculating the oil consumption of the road to be predicted under each target road condition according to the target road condition information and the corresponding oil consumption model; and finally, determining the oil consumption and value of the road to be predicted under each target road condition as the total oil consumption of the road to be predicted. According to the scheme of the method and device, considering that the road to be predicted may include multiple different kinds of target road condition information, the preset corresponding oil consumption model is called to predict the oil consumption so that the finally obtained total oil consumption is closer to a practical situation, and the accuracy is higher.

Description

A kind of oil consumption Forecasting Methodology and device

Technical field

The application relates to oil consumption electric powder prediction, more particularly, it relates to a kind of oil consumption Forecasting Methodology and device.

Background technology

Along with the increase of automobile number, the traffic conditions of road becomes to become increasingly complex, and driver relies solely on the stimulus to the sense organ of oneself in driving procedure can not adapt to current driving environment in the mode carrying out decision-making judgement.

For this, prior art introduces senior drive assist system (ADAS), and it utilizes multiple sensing technology to sense the environment of surrounding, it is achieved the support that driver driving is controlled.And oil consumption prediction is a very necessary function in senior drive assist system.Current existing oil consumption Forecasting Methodology is usually algorithm for estimating, particularly, it is determined that the oil consumption of the length in path and the per unit length of vehicle, then the two is multiplied, thus obtaining the automobile total oil consumption this section of distance.And in real life, owing to some characteristics of road itself can increase extra oil consumption, if only the product of the length of road and the oil consumption of vehicle per unit length being clearly inaccurate as the oil consumption of road.

Summary of the invention

In view of this, this application provides a kind of oil consumption Forecasting Methodology and device, for solving the problem that in prior art, road oil consumption forecasting inaccuracy is true.

To achieve these goals, it is proposed that scheme as follows:

A kind of oil consumption Forecasting Methodology, including:

According to the electronic map data prestored, it is determined that at least one target traffic information that road to be predicted comprises；

For every kind of target traffic information, from preset traffic information and oil consumption model corresponding relation, call the oil consumption model corresponding with described target traffic information the oil consumption model according to described target traffic information and correspondence, calculate the road to be predicted oil consumption under each target road conditions；

By the road to be predicted oil consumption under each target road conditions and value, it is determined that for total oil consumption of described road to be predicted.

Preferably, described target traffic information includes the average speed of road to be predicted, according to the average speed of described road to be predicted and the average speed oil consumption model corresponding with average speed, calculates the road to be predicted base oil consumption under average speed, particularly as follows:

From described average speed oil consumption model, it is determined that go out the unit length oil consumption that the average speed of described road to be predicted is corresponding；

Product by the length of described road to be predicted with the described unit length oil consumption determined, it is determined that for the base oil consumption of described road to be predicted.

Preferably, described target traffic information also includes the junction point of road to be predicted, junction point according to described road to be predicted and the junction point oil consumption model corresponding with junction point, calculate the road to be predicted total junction point oil consumption at its junction point comprised, particularly as follows:

Each junction point for road to be predicted, according to road to be predicted sails into this junction point the average speed sailing section into, roll away from this junction point roll away from the average speed in section, the speed factor of influence of this junction point, preset vehicle energy utilization factor, 1L gasoline produce energy and preset junction point oil consumption model, calculate the road to be predicted junction point oil consumption at this junction point；

By described road to be predicted its each junction point comprised junction point oil consumption and value, it is determined that for total junction point oil consumption of described its junction point comprised of road to be predicted.

Preferably, described each junction point for road to be predicted, according to road to be predicted sails into this junction point the average speed sailing section into, roll away from this junction point roll away from the average speed in section, the speed factor of influence of this junction point, preset vehicle energy utilization factor, 1L gasoline produce energy and preset junction point oil consumption model, calculate the road to be predicted junction point oil consumption at this junction point, specifically include:

Described junction point oil consumption model includes the first junction point oil consumption model and the second junction point oil consumption model；

According to road to be predicted sailing into the average speed sailing section into of this junction point, rolling the speed factor of influence rolling the average speed in section, this junction point away from of this junction point away from, calculate the speed V obtaining this junction point_inter=(V1+V2) * K_inter/ 2, V1 and V2 respectively described road to be predicted wherein sails into sailing the average speed in section into and rolling the average speed in section, K away from of this junction point_interSpeed factor of influence for described junction point；

Obtaining road to be predicted according to the first junction point oil consumption model calculating at the first oil consumption e1 of this junction point is:

$e1=\left\{\begin{array}{c}\frac{E1}{\mathrm{\&eta;c}};V1<V_{\mathrm{inter}}\\ 0;V1\&GreaterEqual;V_{\mathrm{inter}}\end{array}\right.$

Wherein, E1=m* (Vinter²–V1²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

Obtaining road to be predicted according to the second junction point oil consumption model calculating at the second oil consumption e2 of this junction point is:

$e2=\left\{\begin{array}{c}\frac{E2}{\mathrm{\&eta;c}};V2\&GreaterEqual;V_{\mathrm{inter}}\\ 0;V2<V_{\mathrm{inter}}\end{array}\right.$

Wherein, E2=m* (V2²–Vinter²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

By road to be predicted this junction point the first oil consumption e1 and second oil consumption e2's and value, it is determined that for the described road to be predicted junction point oil consumption at described junction point.

Preferably, described target traffic information also includes road curvature section, the bending section consumption model according to the bending section of described road to be predicted and correspondence, calculates the road to be predicted total bending section oil consumption in its bending section comprised, particularly as follows:

For each bending section that road to be predicted comprises, perform following steps:

According to the automobile side angle acceleration a that the radius of curvature R bending section is corresponding with radius of curvature, calculate the restriction speed Vcurve=(a*R) in described bending section^1/2；

When the absolute value of described restriction speed Vcurve and the difference of the average speed V3 of described road to be predicted is more than preset First Speed threshold value, calculates according to described bending section oil consumption model and obtain road to be predicted and at the oil consumption e3 in this bending section be:

$e3=\left\{\begin{array}{c}\frac{E3}{\mathrm{\&eta;c}};V3>\mathrm{Vcurve}\\ 0;V3\&le;\mathrm{Vcurve}\end{array}\right.$

Wherein, E3=m* (V3²–Vcurve²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

The oil consumption in each bending section that road to be predicted is comprised at it and value, it is determined that always bend section oil consumption for road to be predicted in the bending section comprised at it.

Preferably, described target traffic information also includes the gradient section of road to be predicted, gradient section according to described road to be predicted and the gradient section oil consumption model of correspondence, calculate the road to be predicted total gradient section oil consumption at its gradient section comprised, particularly as follows:

Described gradient section oil consumption model includes the first gradient section oil consumption model and the second gradient section oil consumption model；

For each gradient section, perform following steps:

The difference in height of the terminal of described gradient section and starting point is defined as the mean inclination of described gradient section, mean inclination according to described gradient section and the first gradient section oil consumption model, calculating described road to be predicted at the first gradient oil consumption e4 of this gradient section is:

$e4=\frac{E4}{\mathrm{\&eta;c}}$

Wherein, E4=mg* (h2-h1), m is car mass, and g is acceleration of gravity, the terminal of h2 and h1 respectively described gradient section and the height of starting point, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

If described gradient section includes at least one slope road, then start to judge successively that whether Ge Po road is sharply descending slope road from the starting point of described gradient section；When determining sharply descending slope road, according to the gradient on each sharply descending slope road and horizontal length, the second gradient oil consumption model, calculate the oil consumption obtaining road to be predicted on each sharply descending slope road；By the road to be predicted oil consumption on each sharply descending slope road and value be defined as the road to be predicted second gradient oil consumption e5 at described gradient section；

By the described road to be predicted first gradient oil consumption e4 at described gradient section and second gradient oil consumption e5's and value, it is determined that for the described road to be predicted oil consumption at described gradient section；

By road to be predicted its each gradient section comprised oil consumption and value, it is determined that for the described road to be predicted total gradient section oil consumption at its gradient section comprised；

Wherein, the gradient on each sharply descending slope road of described basis and horizontal length, the second gradient oil consumption model, calculate the oil consumption obtaining each sharply descending slope road, specific as follows:

$e5i=\frac{E5i}{\mathrm{\&eta;c}}$

Wherein, E5i=mg*SlopPi*Li, SlopPi is the value of slope on i-th sharply descending slope road, and Li is the horizontal length on i-th sharply descending slope road, and e5i is the road to be predicted oil consumption on the i-th sharply descending slope road of described gradient section.

A kind of oil consumption prediction unit, including:

Target road conditions determine unit, for according to the electronic map data prestored, it is determined that at least one target traffic information that road to be predicted comprises；

Unit is determined in target road conditions oil consumption, for for every kind of target traffic information, from preset traffic information and oil consumption model corresponding relation, call the oil consumption model corresponding with described target traffic information, and the oil consumption model according to described target traffic information and correspondence, calculate the road to be predicted oil consumption under each target road conditions；

Unit is determined in total oil consumption, for by the road to be predicted oil consumption under each target road conditions and value, it is determined that for total oil consumption of described road to be predicted.

Preferably, described target traffic information includes the average speed of road to be predicted, then described target road conditions oil consumption determines that unit includes:

Subelement is determined in first object road conditions oil consumption, for the average speed according to described road to be predicted and the average speed oil consumption model corresponding with average speed, calculates the road to be predicted base oil consumption under average speed；

Described first object road conditions oil consumption determines that subelement includes:

Speed Fuel Consumption determines unit, for from described average speed oil consumption model, it is determined that go out the unit length oil consumption that the average speed of described road to be predicted is corresponding；

Unit is determined in basis oil consumption, for the product by the length of described road to be predicted with the described unit length oil consumption determined, it is determined that for the base oil consumption of described road to be predicted.

Preferably, described target traffic information also includes the junction point of road to be predicted, then described target road conditions oil consumption determines that unit also includes:

Subelement is determined in second target road conditions oil consumption, for the junction point according to described road to be predicted and the junction point oil consumption model corresponding with junction point, calculates the road to be predicted total junction point oil consumption at its junction point comprised；

Described second target road conditions oil consumption determines that subelement includes:

Unit is determined in single point of attachment oil consumption, for each junction point for road to be predicted, according to road to be predicted sails into this junction point the average speed sailing section into, roll away from this junction point roll away from the average speed in section, the speed factor of influence of this junction point, preset vehicle energy utilization factor, 1L gasoline produce energy and preset junction point oil consumption model, calculate the road to be predicted junction point oil consumption at this junction point；

Unit is determined in total junction point oil consumption, for by described road to be predicted its each junction point comprised junction point oil consumption and value, it is determined that for total junction point oil consumption of described its junction point comprised of road to be predicted.

Preferably, described junction point oil consumption model includes the first junction point oil consumption model and the second junction point oil consumption model, and described single point of attachment oil consumption determines that unit includes:

Junction point speed determining unit, for according to sailing the average speed sailing section into of this junction point in road to be predicted into, rolling the speed factor of influence rolling the average speed in section, this junction point away from of this junction point away from, calculating the speed V obtaining this junction point_inter=(V1+V2) * K_inter/ 2, V1 and V2 respectively described road to be predicted wherein sails into sailing the average speed in section into and rolling the average speed in section, K away from of this junction point_interSpeed factor of influence for described junction point；

First junction point oil consumption model computing unit, for obtaining road to be predicted according to the first junction point oil consumption model calculating at the first oil consumption e1 of this junction point be:

$e1=\left\{\begin{array}{c}\frac{E1}{\mathrm{\&eta;c}};V1<V_{\mathrm{inter}}\\ 0;V1\&GreaterEqual;V_{\mathrm{inter}}\end{array}\right.$

Wherein, E1=m* (Vinter²–V1²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

Second junction point oil consumption model computing unit, for obtaining road to be predicted according to the second junction point oil consumption model calculating at the second oil consumption e2 of this junction point be:

$e2=\left\{\begin{array}{c}\frac{E2}{\mathrm{\&eta;c}};V2\&GreaterEqual;V_{\mathrm{inter}}\\ 0;V2<V_{\mathrm{inter}}\end{array}\right.$

Wherein, E2=m* (V2²–Vinter²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

Junction point model is added processing unit, for by road to be predicted this junction point the first oil consumption e1 and second oil consumption e2's and value, it is determined that for the described road to be predicted junction point oil consumption at described junction point.

Preferably, described target traffic information also includes road curvature section, then described target road conditions oil consumption determines that unit also includes:

Subelement is determined in 3rd target road conditions oil consumption, for the bending section consumption model of the bending section according to described road to be predicted and correspondence, calculates the road to be predicted total bending section oil consumption in its bending section comprised；

Described 3rd target road conditions oil consumption determines that subelement includes:

Unit is determined in single detour oil consumption, for each the bending section comprised for road to be predicted, performs following steps:

According to the automobile side angle acceleration a that the radius of curvature R bending section is corresponding with radius of curvature, calculate the restriction speed Vcurve=(a*R) in described bending section^1/2；

When the absolute value of described restriction speed Vcurve and the difference of the average speed V3 of described road to be predicted is more than preset First Speed threshold value, calculates according to described bending section oil consumption model and obtain road to be predicted and at the oil consumption e3 in this bending section be:

$e3=\left\{\begin{array}{c}\frac{E3}{\mathrm{\&eta;c}};V3>\mathrm{Vcurve}\\ 0;V3\&le;\mathrm{Vcurve}\end{array}\right.$

Wherein, E3=m* (V3²–Vcurve²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

Unit is determined in total detour oil consumption, for the oil consumption in each bending section that road to be predicted is comprised at it and value, it is determined that always bend section oil consumption for road to be predicted in the bending section comprised at it.

Preferably, described target traffic information also includes the gradient section of road to be predicted, then described target road conditions oil consumption determines that unit also includes:

Subelement is determined in 4th target road conditions oil consumption, for the gradient section oil consumption model of the gradient section according to described road to be predicted and correspondence, calculates the road to be predicted total gradient section oil consumption at its gradient section comprised；

Described gradient section oil consumption model includes the first gradient section oil consumption model and the second gradient section oil consumption model, then described 4th target road conditions oil consumption determines that subelement includes:

Unit is determined in single gradient section oil consumption, for for each gradient section, performing following steps:

The difference in height of the terminal of described gradient section and starting point is defined as the mean inclination of described gradient section, mean inclination according to described gradient section and the first gradient section oil consumption model, calculating described road to be predicted at the first gradient oil consumption e4 of this gradient section is:

$e4=\frac{E4}{\mathrm{\&eta;c}}$

Wherein, E4=mg* (h2-h1), m is car mass, and g is acceleration of gravity, the terminal of h2 and h1 respectively described gradient section and the height of starting point, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

If described gradient section includes at least one slope road, then start to judge successively that whether Ge Po road is sharply descending slope road from the starting point of described gradient section；When determining sharply descending slope road, according to the gradient on each sharply descending slope road and horizontal length, the second gradient oil consumption model, calculate the oil consumption obtaining road to be predicted on each sharply descending slope road；By the road to be predicted oil consumption on each sharply descending slope road and value be defined as the road to be predicted second gradient oil consumption e5 at described gradient section；

By the described road to be predicted first gradient oil consumption e4 at described gradient section and second gradient oil consumption e5's and value, it is determined that for the described road to be predicted oil consumption at described gradient section；

Unit is determined in total gradient section oil consumption, for by road to be predicted its each gradient section comprised oil consumption and value, it is determined that for the described road to be predicted total gradient section oil consumption at its gradient section comprised；

Wherein, described single gradient section oil consumption determines that unit includes:

Sharply road binders consumption in descending slope determines unit, for the gradient according to each sharply descending slope road and horizontal length, the second gradient oil consumption model, calculates the oil consumption obtaining each sharply descending slope road, specific as follows:

$e5i=\frac{E5i}{\mathrm{\&eta;c}}$

Wherein, E5i=mg*SlopPi*Li, SlopPi is the value of slope on i-th sharply descending slope road, and Li is the horizontal length on i-th sharply descending slope road, and e5i is the road to be predicted oil consumption on the i-th sharply descending slope road of described gradient section.

Can be seen that from above-mentioned technical scheme, the oil consumption Forecasting Methodology that the embodiment of the present application provides, the at least one target traffic information that road to be predicted comprises is determined according to electronic chart, for every kind of target traffic information, from preset traffic information and oil consumption model corresponding relation, call with target traffic information for oil consumption model, and the oil consumption model according to target traffic information and correspondence, calculate the road to be predicted oil consumption under each target road conditions, finally by road to be predicted oil consumption and value under each target road conditions, it is defined as total oil consumption of road to be predicted.The scheme of the application, it is contemplated that road to be predicted is likely to comprise multiple different target traffic information, calls preset corresponding oil consumption model and carries out oil consumption prediction so that the total oil consumption finally drawn is close to practical situation more, namely accuracy is higher.

Accompanying drawing explanation

In order to be illustrated more clearly that the embodiment of the present application or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in the following describes is only embodiments herein, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to the accompanying drawing provided.

Fig. 1 is the disclosed a kind of automobile fuel consumption of the embodiment of the present application and length velocity relation schematic diagram；

Fig. 2 is intersection model disclosed in the embodiment of the present application；

Fig. 3 is automobile side angle acceleration disclosed in the embodiment of the present application and radius of curvature model；

Fig. 4 is the disclosed a kind of oil consumption Forecasting Methodology flow chart of the embodiment of the present application；

Fig. 5 is the embodiment of the present application disclosed bending section schematic diagram；

Fig. 6 is gradient section schematic diagram disclosed in the embodiment of the present application；

Fig. 7 is the disclosed a kind of oil consumption prediction unit structural representation of the embodiment of the present application.

Detailed description of the invention

Below in conjunction with the accompanying drawing in the embodiment of the present application, the technical scheme in the embodiment of the present application is clearly and completely described, it is clear that described embodiment is only some embodiments of the present application, rather than whole embodiments.Based on the embodiment in the application, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of the application protection.

In the embodiment of the present invention, the traffic information of road generally comprises: the average speed of road, junction point, bending section and gradient section.Wherein: average speed is vehicle and drives to the average overall travel speed of terminal from the starting point of road；Junction point is generally the crossing (such as intersection, traffic light intersection) of road, charge station etc.；Bending section refers to the section with certain curvature comprised in road, such as S shape section, C shape section etc.；Gradient section refers to the section with upward slope, descending behavior, when including hillside such as road, can there is gradient section.Owing to average speed is the traffic information that all roads all can have, therefore all can there is oil consumption in all roads under average speed, and this oil consumption can as the basic oil consumption of road；And other traffic information may have to be likely in different roads and do not have, if any road comprise junction point, some road does not comprise junction point.

For ease of the follow-up oil consumption that can quickly predict each road, the various traffic informations of road are set up corresponding oil consumption model by the embodiment of the present invention in advance, for instance:

1) for the average speed of road, pre-building average speed and average speed oil consumption model, set the corresponding relation of average speed and unit length oil consumption in this average speed oil consumption model, the unit length oil consumption of the more big correspondence of average speed is more low.As it is shown in figure 1, the unit length oil consumption of the more little correspondence of average speed is more big, when average speed reaches preset threshold speed, the unit length oil consumption of the more big correspondence of average speed is more big.

Calculate road base oil consumption under average speed, it may be achieved as follows: the average speed according to road, from average speed oil consumption model, obtain the unit length oil consumption corresponding with the average speed of this road；Using the product of the total length of this road and the unit length oil consumption of acquisition as road base oil consumption under average speed.

2) for the junction point of road, the junction point oil consumption model corresponding with junction point is set up.In this junction point oil consumption model, the property settings previously according to junction point has the speed factor of influence K that this junction point is corresponding_inter, set the speed factor of influence K of junction point_interCan sailing section into and rolling the category of roads in section away from, sail section and the angle rolling away between section, the traffic lights of junction point and charge station into and calculate and obtain according to junction point, be specifically set as follows:

If this junction point exists charge station, then set the Kinter=0 of this junction point；

If junction point is without charge station, and have traffic lights, then setting Kinter=x, the x of junction point is preset empirical value, as can be taken as 0.5；

If junction point is without charge station, and without traffic lights, junction point sail section into and the angle theta rolling away between section is 180 °: if then the category of roads sailing section into of junction point is higher than the category of roads of crossroad of this junction point, then set Kinter=y, the y ∈ (0.5,1) of junction point, if the category of roads sailing section into of junction point is lower than the category of roads of the crossroad of this junction point, then Kinter=y, y ∈ (0,0.5]；As in figure 2 it is shown, junction point is that an intersection (four crossway) sails section into and the angle rolling section away from is 180 °, crossroad is vertical with road.

If junction point is without charge station, and without traffic lights, junction point sail section into and the angle theta rolling away between section is not 180 °, then set the Kinter=θ/180*k1+L2/L1*k2 of junction point, wherein, θ ranges for [0 °, 180 °), L1 and L2 respectively sails section into and rolls the category of roads in section away from, and k1 and k2 is preset weight coefficient, the equal ∈ of k1 and k2 [0,1].

Junction point oil consumption model includes the first junction point oil consumption model and the second junction point oil consumption model, and wherein the first junction point oil consumption model is as follows:

$e1=\left\{\begin{array}{c}\frac{E1}{\mathrm{\&eta;c}};V1<V_{\mathrm{inter}}\\ 0;V1\&GreaterEqual;V_{\mathrm{inter}}\end{array}\right.$

Wherein, E1=m* (Vinter²–V1²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces, and V1 is the average speed sailing section into of junction point, V_inter=(V1+V2) * K_inter/2；

Second junction point oil consumption model is as follows:

$e2=\left\{\begin{array}{c}\frac{E2}{\mathrm{\&eta;c}};V2\&GreaterEqual;V_{\mathrm{inter}}\\ 0;V2<V_{\mathrm{inter}}\end{array}\right.$

Wherein, E2=m* (V2²–Vinter²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces, and V2 is the average speed rolling section away from of junction point, V_inter=(V1+V2) * K_inter/2。

3) for the bending section of road, the bending section oil consumption model that bending section is corresponding is pre-build.In this bending section oil consumption model, previously according to the automobile side angle acceleration a that the radius of curvature R in bending section is corresponding with radius of curvature, calculate the restriction speed Vcurve=(a*R) in described bending section^1/2

Wherein a=(4.5 1.6)/(1+ (R/135)²)+1.6,

R is the radius of curvature bending the minimum shape point of section mean curvature radius, and a is the automobile side angle acceleration bending the minimum shape point of section mean curvature radius.The relation of radius of curvature and automobile side angle acceleration as it is shown on figure 3, radius of curvature more car lateral acceleration is more big, otherwise, the more big automobile side angle acceleration of radius of curvature tends to be steady.

The oil consumption model in bending section is specific as follows:

$e3=\left\{\begin{array}{c}\frac{E3}{\mathrm{\&eta;c}};V3>\mathrm{Vcurve}\\ 0;V3\&le;\mathrm{Vcurve}\end{array}\right.$

Wherein, E3=m* (V3²–Vcurve²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces, and V3 is the average speed of road, Vcurve=(a*R)^1/2。

4) for the gradient section of road, gradient section and gradient section oil consumption mould are pre-build.

In the embodiment of the present invention, gradient section oil consumption model includes the first gradient oil consumption model and the second gradient oil consumption model, and wherein the first gradient oil consumption model is as follows:

$e4=\frac{E4}{\mathrm{\&eta;c}}$

Wherein, E4=mg* (h2-h1), m is car mass, and g is acceleration of gravity, the terminal of h2 and h1 respectively described gradient section and the height of starting point, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces.

Second gradient oil consumption model be for gradient section include sharply descending slope road time, the oil consumption model corresponding with sharply descending slope road of foundation, this second gradient oil consumption model is specific as follows:

$e5i=\frac{E5i}{\mathrm{\&eta;c}}$

Wherein, E5i=mg*SlopPi*Li, m is car mass, g is acceleration of gravity, SlopPi is the value of slope on the i-th sharply descending slope road of described gradient section, Li is the horizontal length on i-th sharply descending slope road, and e5i is the road to be predicted oil consumption on the i-th sharply descending slope road of described gradient section.Sharply the gradient on descending slope road is the gradient absolute value absolute value with the difference of the absolute value of downward grades threshold value on this slope road.

When needing the oil consumption predicting a certain road, first from electronic map data, obtain the target traffic information of this road, each target traffic information for this road, obtain the oil consumption model corresponding with this target traffic information, and calculate this road oil consumption under this target traffic information according to this target traffic information and oil consumption model；The summation of this road oil consumption under its each target road conditions is defined as total oil consumption of this road again.Such as: the target traffic information that road 1 includes is average speed, junction point, then calculate the road 1 first oil consumption under average speed according to the average speed of this road 1 and average speed oil consumption model, and calculate the road 1 second oil consumption under junction point according to the junction point of road 1 and junction point oil consumption model, then using the first oil consumption and the second oil consumption and be worth the total oil consumption as road 1.The target traffic information that road 2 includes is average speed, bending section, gradient section, then calculate the road 2 first oil consumption under average speed according to the average speed of road 2 and average speed oil consumption model, bending section and bending section oil consumption model according to road 2 calculate the road 2 second oil consumption in bending section, and calculate the road 2 the 3rd oil consumption at gradient section according to the gradient section of road 2 and gradient section oil consumption, using the first oil consumption, the second oil consumption and the 3rd oil consumption and value as total oil consumption of road 2.

Referring to Fig. 4, a kind of oil consumption Forecasting Methodology flow chart based on electronic chart disclosed in the embodiment of the present application.

As shown in Figure 4, the method includes:

The electronic map data that step S400, foundation prestore, it is determined that at least one target traffic information that road to be predicted comprises；

Specifically, electronic chart is determined road to be predicted, the various target traffic informations that road to be predicted comprises can be obtained, for instance whether road whole process length, road comprise whether road junction point (such as crossing), road comprise in bending section, road whether comprise gradient section etc. further with electronic map data.In addition to this it is possible to the information such as the gradient of the average overall travel speed determined on road, the bending curvature in section, crankcase ventilaton.

Step S410, for every kind of target traffic information, calculate the road to be predicted oil consumption under each target road conditions；

Step S420, by the road to be predicted oil consumption under each target road conditions and value, it is determined that for total oil consumption of described road to be predicted.

Citing as: road to be predicted is AB, and road AB includes a hillside, it is determined that the target traffic information of road to be predicted includes average speed and gradient section.It is 10L that average speed according to road AB obtains road AB oil consumption under average speed with the calculating of average speed oil consumption model；It is 3L that gradient section according to road AB obtains road AB oil consumption under gradient section with the calculating of gradient section oil consumption model, then predict that total oil consumption of this road AB is 10+3=13L.

In abovementioned steps 410, for every kind of target traffic information, calculate the road to be predicted oil consumption under each target road conditions, can be specific as follows:

When described target traffic information includes the average speed of road to be predicted, according to the average speed of described road to be predicted and the average speed oil consumption model corresponding with average speed, calculate the road to be predicted base oil consumption under average speed, particularly as follows:

Step a1, from described average speed oil consumption model, it is determined that go out the unit length oil consumption that the average speed of described road to be predicted is corresponding；

Step a2, by the product of the length of described road to be predicted with the described unit length oil consumption determined, it is determined that for the base oil consumption of described road to be predicted.

Illustrate: assume that road to be predicted includes section L1, L2, L3, L4, L5 successively, wherein the length in each section, average speed are as shown in table 1 below, fuel consumption per hundred kilometers such as table 1 in each section can be obtained according to aforementioned average speed oil consumption model, calculate practical oil consumption such as table 1 obtaining each section.

Road sequence number	Length	Average speed	Fuel consumption per hundred kilometers	Practical oil consumption
					L1	1km	20	20L	0.2L
L2	1km	30	15L	0.15L
					L3	1km	80	10L	0.1L
L4	2km	30	15L	0.3L
					L5	1km	20	20L	0.2L
Total length	6km			1.25L

Table 1

Preferably, when target traffic information also includes the junction point of road to be predicted, junction point according to described road to be predicted and the junction point oil consumption model corresponding with junction point, calculate the road to be predicted total junction point oil consumption at its junction point comprised, particularly as follows:

Step b1, each junction point for road to be predicted, according to road to be predicted sails into this junction point the average speed sailing section into, roll away from this junction point roll away from the average speed in section, the speed factor of influence of this junction point, preset vehicle energy utilization factor, 1L gasoline produce energy and preset junction point oil consumption model, calculate the road to be predicted junction point oil consumption at this junction point；

Step b2, by described road to be predicted its each junction point comprised junction point oil consumption and value, it is determined that for the described road to be predicted total junction point oil consumption at its junction point comprised.

Abovementioned steps b1 is implemented as follows:

According to road to be predicted sailing into the average speed sailing section into of this junction point, rolling the speed factor of influence rolling the average speed in section, this junction point away from of this junction point away from, calculate the speed V obtaining this junction point_inter=(V1+V2) * K_inter/ 2, V1 and V2 respectively described road to be predicted wherein sails into sailing the average speed in section into and rolling the average speed in section, K away from of this junction point_interSpeed factor of influence for described junction point；

Obtaining road to be predicted according to the first junction point oil consumption model calculating at the first oil consumption e1 of this junction point is:

$e1=\left\{\begin{array}{c}\frac{E1}{\mathrm{\&eta;c}};V1<V_{\mathrm{inter}}\\ 0;V1\&GreaterEqual;V_{\mathrm{inter}}\end{array}\right.$

Wherein, E1=m* (Vinter²–V1²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

Obtaining road to be predicted according to the second junction point oil consumption model calculating at the second oil consumption e2 of this junction point is:

$e2=\left\{\begin{array}{c}\frac{E2}{\mathrm{\&eta;c}};V2\&GreaterEqual;V_{\mathrm{inter}}\\ 0;V2<V_{\mathrm{inter}}\end{array}\right.$

Wherein, E2=m* (V2²–Vinter²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

By road to be predicted this junction point the first oil consumption e1 and second oil consumption e2's and value, it is determined that for the described road to be predicted junction point oil consumption at described junction point.

Illustrate: the road to be predicted described in table 2 below is example, this road to be predicted includes section L1, L2, L3, L4, L5 successively, these 5 sections are connected by 4 junction points, the junction point 1 wherein connecting L1 and L2 is traffic lights, the junction point 2 connecting L2 and L3 is intersection, the junction point 3 connecting L3 and L4 is intersection, and the junction point 4 connecting L4 and L5 is charge station, then set the K of junction point 1_interIt is 0.5, the K of junction point 2 and junction point 3_interIt is 0.3, the K of junction point 4_interBeing 0, wherein the average speed of section L1～L5 is as shown in table 2 below.According to aforementioned V_inter=(V1+V2) * K_interThe speed that/2 calculating obtain each junction point is as follows respectively:

The speed of junction point 1 is: (20+30) * 0.5/2=12.5km/h；

The speed of junction point 2 is: (30+80) * 0.3/2=16.5km/h；

The speed of junction point 3 is: (30+80) * 0.3/2=16.5km/h；

The speed of junction point 4 is: 0km/h.

Result is expressed as table 2 below:

Table 2

According to aforementioned first junction point oil consumption model and the second junction point oil consumption model, calculate the oil consumption obtaining each junction point of road to be predicted, as follows:

Junction point 1:e1=0；

E2=(2000* ((30/3.6)²-(12.5/3.6)²)/2)/(0.3*3.7*10⁷) L=5.7*10^-3L。

Wherein, taking car mass m is 2000kg, and vehicle energy utilization factor is 30%, and the energy that 1L gasoline produces is 3.7*10⁷J。

Total oil consumption of junction point 1 is e1+e2=5.7*10^-3L。

In like manner, calculating the total oil consumption obtaining junction point 2 is 47.2*10^-3L；Total oil consumption of junction point 3 is 4.8*10^-3L；Total oil consumption of junction point 4 is 3.1*10^-3L。

Then described road to be predicted in total oil consumption of its junction point comprised is: (5.7+47.2+4.8+3.1) * 10^-3L≈0.06L。

Preferably, preceding aim traffic information also includes bending section, the bending section consumption model according to the bending section of described road to be predicted and correspondence, calculates the road to be predicted total bending section oil consumption in its bending section comprised, particularly as follows:

Step c1, each the bending section comprised for road to be predicted, perform following steps:

The automobile side angle acceleration a that radius of curvature R according to the minimum shape point of radius of curvature in bending section is corresponding with radius of curvature, calculates the restriction speed Vcurve=(a*R) in described bending section^1/2；

When the absolute value of described restriction speed Vcurve and the difference of the average speed V3 of described road to be predicted is more than preset First Speed threshold value, calculates according to described bending section oil consumption model and obtain road to be predicted and at the oil consumption e3 in this bending section be:

$e3=\left\{\begin{array}{c}\frac{E3}{\mathrm{\&eta;c}};V3>\mathrm{Vcurve}\\ 0;V3\&le;\mathrm{Vcurve}\end{array}\right.$

Wherein, E3=m* (V3²–Vcurve²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

Step c2, each bending section that road to be predicted is comprised at it oil consumption and value, it is determined that always bend section oil consumption for road to be predicted in the bending section comprised at it.

Illustrate: as shown in fig. 5, it is assumed that the L1 section in road to be predicted is a bending section, it is assumed that the curvature of the P1 shape point in L1 section is 0.03203, and radius of curvature is 31.22；The curvature of P2 shape point is-0.02, and radius of curvature is 50, then the curvature radius calculation restriction speed of selected shape point P1, and the average speed V3 of this road to be predicted is 16m/s；Preset First Speed threshold value Vdelta is 2.7m/s.

The restriction speed in the curvature radius calculation L1 section according to shape point P1 point correspondence is Vcurve=11.65m/s.Due to 16-11.65=4.35 > 2.7, according to bending section oil consumption model, the oil consumption e3 being bent section L1 of calculating is:

E3=(1/2) m* (16²-11.65²)/(0.3*3.7*10⁷) L=1.08*10^-2L

Wherein, taking car mass m is 2000kg, and vehicle energy utilization factor is 30%, and the energy that 1L gasoline produces is 3.7*10⁷J。

Then the road to be predicted oil consumption under bending section L1 is 0.0108L, is about 0.011L.

Preferably, described target traffic information also includes the gradient section of road to be predicted, gradient section according to described road to be predicted and the gradient section oil consumption model of correspondence, calculate the road to be predicted total gradient section oil consumption at its gradient section comprised, particularly as follows:

Step d1, for each gradient section, perform following steps:

The difference in height of the terminal of described gradient section and starting point is defined as the mean inclination of described gradient section, mean inclination according to described gradient section and the first gradient section oil consumption model, calculating described road to be predicted at the first gradient oil consumption e4 of this gradient section is:

$e4=\frac{E4}{\mathrm{\&eta;c}}$

Wherein, E4=mg* (h2-h1), m is car mass, and g is acceleration of gravity, the terminal of h2 and h1 respectively described gradient section and the height of starting point, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

If described gradient section includes at least one slope road, then start to judge successively that whether Ge Po road is sharply descending slope road from the starting point of described gradient section；When determining sharply descending slope road, according to the gradient on each sharply descending slope road and horizontal length, the second gradient oil consumption model, calculate the oil consumption obtaining road to be predicted on each sharply descending slope road；By the road to be predicted oil consumption on each sharply descending slope road and value be defined as the road to be predicted second gradient oil consumption e5 at described gradient section；

Step d2, by the described road to be predicted first gradient oil consumption e4 at described gradient section and second gradient oil consumption e5's and value, it is determined that for the described road to be predicted oil consumption at described gradient section；

Step d3, by road to be predicted its each gradient section comprised oil consumption and value, it is determined that for the described road to be predicted total gradient section oil consumption at its gradient section comprised.

Wherein, the gradient on each sharply descending slope road of aforementioned described basis and horizontal length, the second gradient oil consumption model, calculate the oil consumption obtaining each sharply descending slope road, specific as follows:

$e5i=\frac{E5i}{\mathrm{\&eta;c}}$

Wherein, E5i=mg*SlopPi*Li, m is car mass, g is acceleration of gravity, SlopPi is the value of slope on i-th sharply descending slope road, and Li is the horizontal length on i-th sharply descending slope road, and e5i is the road to be predicted oil consumption on the i-th sharply descending slope road of described gradient section.

In the embodiment of the present invention, it is judged that whether a Ge Po road is sharply descending slope road, can judge according in the following manner:

If the difference of the gradient on slope road and preset downward grades threshold value is more than 0, it is determined that this slope road is sharply descending slope road, if difference is less than or equal to 0, it is determined that this slope Lu Buwei sharply descending slope road.Sharply the gradient on descending slope road is the gradient absolute value absolute value with the difference of the absolute value of downward grades threshold value on this slope road.

Illustrate: as shown in Figure 6, the section of shape point P3 to shape point P4 is L1 section in figure 6, and the section of shape point P4 to shape point P8 is L2 section.If the average speed in L2 section is 16m/s, corresponding default downward grades threshold value is 3.5%.Owing to shape point P3 is smooth section to the section L1 that shape point P4 represents, namely non-gradient section, therefore it is left out the gradient oil consumption in L1 section herein, and only consider the shape point P4 gradient oil consumption to the section L2 that shape point P8 represents, wherein shape point P4 and P5 constitutes sharply descending slope road 1, shape point P5 and P6 and constitutes sharply descending slope road 2.Referring specifically under

Table 3:

Table 3

Calculated by the parameter of upper table 3 and the second gradient oil consumption model and obtain the road to be predicted oil consumption on each sharply descending slope road of described gradient section L2 and be:

Gradient section L2 at the oil consumption e51 on sharply descending slope road 1 is:

$e51=\frac{E5}{\mathrm{\&eta;c}}=\frac{2000*9.8*(1.5\%*200)}{\mathrm{\&eta;c}}=\frac{5.88*{10}^{4}J}{\mathrm{\&eta;c}}$

Gradient section L2 at the oil consumption e52 on sharply descending slope road 2 is:

$e52=\frac{E5}{\mathrm{\&eta;c}}=\frac{2000*9.8*(3.5\%*500)}{\mathrm{\&eta;c}}=\frac{3.43*{10}^{5}J}{\mathrm{\&eta;c}}$

Therefore, gradient section L2 at total oil consumption e5 on the sharply descending slope road that it comprises is:

$e5=e51+e52=\frac{4.018*{10}^{5}J}{\mathrm{\&eta;c}}$

The mean inclination of the gradient section L2 of shape point P4 to shape point P8 is:

(10%*500+12%*500-7%*500-5%*200)/(200+500+500+500) ≈ 3.82%.

Then oil consumption e4 is by the mean inclination of gradient section L2:

$\begin{array}{c}e4=\frac{E4}{\mathrm{\&eta;c}}=\frac{2000*9.8*(3.82\%*(200+500+500+500))}{\mathrm{\&eta;c}}\\ =\frac{1.27*{10}^{6}J}{\mathrm{\&eta;c}}\end{array}$

Accordingly, it is determined that total gradient oil consumption of gradient section L2 is:

$e4+e5=\frac{1.27*{10}^6}{\mathrm{\&eta;c}}+\frac{4.018*{10}^5}{\mathrm{\&eta;c}}=0.15L$

Wherein, vehicle energy utilization factor is 30%, and the energy that 1L gasoline produces is 3.7*10⁷J。

The oil consumption prediction unit below the embodiment of the present application provided is described, and oil consumption prediction unit described below and above-described oil consumption Forecasting Methodology can mutually to should refer to.

Referring to Fig. 7, a kind of oil consumption prediction unit structural representation disclosed in the embodiment of the present application.

As it is shown in fig. 7, this device includes:

Target road conditions determine unit 71, for according to the electronic map data prestored, it is determined that at least one target traffic information that road to be predicted comprises；

Unit 72 is determined in target road conditions oil consumption, for for every kind of target traffic information, from preset traffic information and oil consumption model corresponding relation, call the oil consumption model corresponding with described target traffic information, and the oil consumption model according to described target traffic information and correspondence, calculate the road to be predicted oil consumption under each target road conditions；

Unit 73 is determined in total oil consumption, for by the road to be predicted oil consumption under each target road conditions and value, it is determined that for total oil consumption of described road to be predicted.

Optionally, described target traffic information can include the average speed of road to be predicted, then described target road conditions oil consumption determines that unit includes:

Subelement is determined in first object road conditions oil consumption, for the average speed according to described road to be predicted and the average speed oil consumption model corresponding with average speed, calculates the road to be predicted base oil consumption under average speed；

Described first object road conditions oil consumption determines that subelement includes:

Speed Fuel Consumption determines unit, for from described average speed oil consumption model, it is determined that go out the unit length oil consumption that the average speed of described road to be predicted is corresponding；

Unit is determined in basis oil consumption, for the product by the length of described road to be predicted with the described unit length oil consumption determined, it is determined that for the base oil consumption of described road to be predicted.

Optionally, described target traffic information can also include the junction point of road to be predicted, then described target road conditions oil consumption determines that unit also includes:

Subelement is determined in second target road conditions oil consumption, for the junction point according to described road to be predicted and the junction point oil consumption model corresponding with junction point, calculates the road to be predicted total junction point oil consumption at its junction point comprised；

Described second target road conditions oil consumption determines that subelement includes:

Unit is determined in single point of attachment oil consumption, for each junction point for road to be predicted, according to road to be predicted sails into this junction point the average speed sailing section into, roll away from this junction point roll away from the average speed in section, the speed factor of influence of this junction point, preset vehicle energy utilization factor, 1L gasoline produce energy and preset junction point oil consumption model, calculate the road to be predicted junction point oil consumption at this junction point；

Unit is determined in total junction point oil consumption, for by described road to be predicted its each junction point comprised junction point oil consumption and value, it is determined that for total junction point oil consumption of described its junction point comprised of road to be predicted.

Optionally, described junction point oil consumption model includes the first junction point oil consumption model and the second junction point oil consumption model, and described single point of attachment oil consumption determines that unit includes:

Junction point speed determining unit, for according to sailing the average speed sailing section into of this junction point in road to be predicted into, rolling the speed factor of influence rolling the average speed in section, this junction point away from of this junction point away from, calculating the speed V obtaining this junction point_inter=(V1+V2) * K_inter/ 2, V1 and V2 respectively described road to be predicted wherein sails into sailing the average speed in section into and rolling the average speed in section, K away from of this junction point_interSpeed factor of influence for described junction point；

First junction point oil consumption model computing unit, for obtaining road to be predicted according to the first junction point oil consumption model calculating at the first oil consumption e1 of this junction point be:

$e1=\left\{\begin{array}{c}\frac{E1}{\mathrm{\&eta;c}};V1<V_{\mathrm{inter}}\\ 0;V1\&GreaterEqual;V_{\mathrm{inter}}\end{array}\right.$

Wherein, E1=m* (Vinter²–V1²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

Second junction point oil consumption model computing unit, for obtaining road to be predicted according to the second junction point oil consumption model calculating at the second oil consumption e2 of this junction point be:

$e2=\left\{\begin{array}{c}\frac{E2}{\mathrm{\&eta;c}};V2\&GreaterEqual;V_{\mathrm{inter}}\\ 0;V2<V_{\mathrm{inter}}\end{array}\right.$

Wherein, E2=m* (V2²–Vinter²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

Junction point model is added processing unit, for by road to be predicted this junction point the first oil consumption e1 and second oil consumption e2's and value, it is determined that for the described road to be predicted junction point oil consumption at described junction point.

Optionally, described target traffic information can also include road curvature section, then described target road conditions oil consumption determines that unit also includes:

Subelement is determined in 3rd target road conditions oil consumption, for the bending section consumption model of the bending section according to described road to be predicted and correspondence, calculates the road to be predicted total bending section oil consumption in its bending section comprised；

Described 3rd target road conditions oil consumption determines that subelement includes:

Unit is determined in single detour oil consumption, for each the bending section comprised for road to be predicted, performs following steps:

According to the automobile side angle acceleration a that the radius of curvature R bending section is corresponding with radius of curvature, calculate the restriction speed Vcurve=(a*R) in described bending section^1/2；

When the absolute value of described restriction speed Vcurve and the difference of the average speed V3 of described road to be predicted is more than preset First Speed threshold value, calculates according to described bending section oil consumption model and obtain road to be predicted and at the oil consumption e3 in this bending section be:

$e3=\left\{\begin{array}{c}\frac{E3}{\mathrm{\&eta;c}};V3>\mathrm{Vcurve}\\ 0;V3\&le;\mathrm{Vcurve}\end{array}\right.$

Wherein, E3=m* (V3²–Vcurve²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

Unit is determined in total detour oil consumption, for the oil consumption in each bending section that road to be predicted is comprised at it and value, it is determined that always bend section oil consumption for road to be predicted in the bending section comprised at it.

Optionally, described target traffic information can also include the gradient section of road to be predicted, then described target road conditions oil consumption determines that unit also includes:

Subelement is determined in 4th target road conditions oil consumption, for the gradient section oil consumption model of the gradient section according to described road to be predicted and correspondence, calculates the road to be predicted total gradient section oil consumption at its gradient section comprised；

Described gradient section oil consumption model includes the first gradient section oil consumption model and the second gradient section oil consumption model, then described 4th target road conditions oil consumption determines that subelement includes:

Unit is determined in single gradient section oil consumption, for for each gradient section, performing following steps:

The difference in height of the terminal of described gradient section and starting point is defined as the mean inclination of described gradient section, mean inclination according to described gradient section and the first gradient section oil consumption model, calculating described road to be predicted at the first gradient oil consumption e4 of this gradient section is:

$e4=\frac{E4}{\mathrm{\&eta;c}}$

Wherein, E4=mg* (h2-h1), m is car mass, and g is acceleration of gravity, the terminal of h2 and h1 respectively described gradient section and the height of starting point, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

If described gradient section includes at least one slope road, then start to judge successively that whether Ge Po road is sharply descending slope road from the starting point of described gradient section；When determining sharply descending slope road, according to the gradient on each sharply descending slope road and horizontal length, the second gradient oil consumption model, calculate the oil consumption obtaining road to be predicted on each sharply descending slope road；By the road to be predicted oil consumption on each sharply descending slope road and value be defined as the road to be predicted second gradient oil consumption e5 at described gradient section；

By the described road to be predicted first gradient oil consumption e4 at described gradient section and second gradient oil consumption e5's and value, it is determined that for the described road to be predicted oil consumption at described gradient section；

Unit is determined in total gradient section oil consumption, for by road to be predicted its each gradient section comprised oil consumption and value, it is determined that for the described road to be predicted total gradient section oil consumption at its gradient section comprised；

Wherein, described single gradient section oil consumption determines that unit includes:

Sharply road binders consumption in descending slope determines unit, for the gradient according to each sharply descending slope road and horizontal length, the second gradient oil consumption model, calculates the oil consumption obtaining each sharply descending slope road, specific as follows:

$e5i=\frac{E5i}{\mathrm{\&eta;c}}$

Wherein, E5i=mg*SlopPi*Li, SlopPi is the value of slope on i-th sharply descending slope road, and Li is the horizontal length on i-th sharply descending slope road, and e5i is the road to be predicted oil consumption on the i-th sharply descending slope road of described gradient section.

The oil consumption prediction unit that the embodiment of the present application provides, it is first depending at least one target traffic information that electronic chart determines that road to be predicted comprises, for every kind of target traffic information, from preset traffic information and oil consumption model corresponding relation, call with target traffic information for oil consumption model, and the oil consumption model according to target traffic information and correspondence, calculate the road to be predicted oil consumption under each target road conditions, finally by road to be predicted oil consumption and value under each target road conditions, it is determined that for total oil consumption of road to be predicted.The scheme of the application, it is contemplated that road to be predicted is likely to comprise multiple different target traffic information, calls preset corresponding oil consumption model and carries out oil consumption prediction so that the total oil consumption finally drawn is close to practical situation more, namely accuracy is higher.

Finally, it can further be stated that, in this article, the relational terms of such as first and second or the like is used merely to separate an entity or operation with another entity or operating space, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " includes ", " comprising " or its any other variant are intended to comprising of nonexcludability, so that include the process of a series of key element, method, article or equipment not only include those key elements, but also include other key elements being not expressly set out, or also include the key element intrinsic for this process, method, article or equipment.When there is no more restriction, statement " including ... " key element limited, it is not excluded that there is also other identical element in including the process of described key element, method, article or equipment.

In this specification, each embodiment adopts the mode gone forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually referring to.

Described above to the disclosed embodiments, makes professional and technical personnel in the field be capable of or uses the application.The multiple amendment of these embodiments be will be apparent from for those skilled in the art, and generic principles defined herein when without departing from spirit herein or scope, can realize in other embodiments.Therefore, the application is not intended to be limited to the embodiments shown herein, and is to fit to the widest scope consistent with principles disclosed herein and features of novelty.

Claims (12)

1. an oil consumption Forecasting Methodology, it is characterised in that including:

According to the electronic map data prestored, it is determined that at least one target traffic information that road to be predicted comprises；

For every kind of target traffic information, from preset traffic information and oil consumption model corresponding relation, call the oil consumption model corresponding with described target traffic information the oil consumption model according to described target traffic information and correspondence, calculate the road to be predicted oil consumption under each target road conditions；

By the road to be predicted oil consumption under each target road conditions and value, it is determined that for total oil consumption of described road to be predicted.

2. oil consumption Forecasting Methodology according to claim 1, it is characterized in that, described target traffic information includes the average speed of road to be predicted, average speed according to described road to be predicted and the average speed oil consumption model corresponding with average speed, calculate the road to be predicted base oil consumption under average speed, particularly as follows:

From described average speed oil consumption model, it is determined that go out the unit length oil consumption that the average speed of described road to be predicted is corresponding；

Product by the length of described road to be predicted with the described unit length oil consumption determined, it is determined that for the base oil consumption of described road to be predicted.

3. oil consumption Forecasting Methodology according to claim 2, it is characterized in that, described target traffic information also includes the junction point of road to be predicted, junction point according to described road to be predicted and the junction point oil consumption model corresponding with junction point, calculate the road to be predicted total junction point oil consumption at its junction point comprised, particularly as follows:

Each junction point for road to be predicted, according to road to be predicted sails into this junction point the average speed sailing section into, roll away from this junction point roll away from the average speed in section, the speed factor of influence of this junction point, preset vehicle energy utilization factor, 1L gasoline produce energy and preset junction point oil consumption model, calculate the road to be predicted junction point oil consumption at this junction point；

By described road to be predicted its each junction point comprised junction point oil consumption and value, it is determined that for total junction point oil consumption of described its junction point comprised of road to be predicted.

4. method according to claim 3, it is characterized in that, described each junction point for road to be predicted, according to road to be predicted sails into this junction point the average speed sailing section into, roll away from this junction point roll away from the average speed in section, the speed factor of influence of this junction point, preset vehicle energy utilization factor, 1L gasoline produce energy and preset junction point oil consumption model, calculate the road to be predicted junction point oil consumption at this junction point, specifically include:

Described junction point oil consumption model includes the first junction point oil consumption model and the second junction point oil consumption model；

According to road to be predicted sailing into the average speed sailing section into of this junction point, rolling the speed factor of influence rolling the average speed in section, this junction point away from of this junction point away from, calculate the speed V obtaining this junction point_inter=(V1+V2) * K_inter/ 2, V1 and V2 respectively described road to be predicted wherein sails into sailing the average speed in section into and rolling the average speed in section, K away from of this junction point_interSpeed factor of influence for described junction point；

Obtaining road to be predicted according to the first junction point oil consumption model calculating at the first oil consumption e1 of this junction point is:

$e1=\left\{\begin{array}{c}\frac{E1}{\mathrm{\&eta;c}};V1<V_{\mathrm{inter}}\\ 0;V1\&GreaterEqual;V_{\mathrm{inter}}\end{array}\right.$

Wherein, E1=m* (Vinter²–V1²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

Obtaining road to be predicted according to the second junction point oil consumption model calculating at the second oil consumption e2 of this junction point is:

$e2=\left\{\begin{array}{c}\frac{E2}{\mathrm{\&eta;c}};V2<V_{\mathrm{inter}}\\ 0;V2\&GreaterEqual;V_{\mathrm{inter}}\end{array}\right.$

Wherein, E2=m* (V2²–Vinter²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

By road to be predicted this junction point the first oil consumption e1 and second oil consumption e2's and value, it is determined that for the described road to be predicted junction point oil consumption at described junction point.

5. oil consumption Forecasting Methodology according to claim 2, it is characterized in that, described target traffic information also includes road curvature section, model is consumed in bending section and the bending section of correspondence according to described road to be predicted, calculate the road to be predicted total bending section oil consumption in its bending section comprised, particularly as follows:

For each bending section that road to be predicted comprises, perform following steps:

According to the automobile side angle acceleration a that the radius of curvature R bending section is corresponding with radius of curvature, calculate the restriction speed Vcurve=(a*R) in described bending section^1/2；

When the absolute value of described restriction speed Vcurve and the difference of the average speed V3 of described road to be predicted is more than preset First Speed threshold value, calculates according to described bending section oil consumption model and obtain road to be predicted and at the oil consumption e3 in this bending section be:

$e3=\left\{\begin{array}{c}\frac{E3}{\mathrm{\&eta;c}};V3<\mathrm{Vcurve}\\ 0;V3\&GreaterEqual;\mathrm{Vcurve}\end{array}\right.$

Wherein, E3=m* (V3²–Vcurve²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

The oil consumption in each bending section that road to be predicted is comprised at it and value, it is determined that always bend section oil consumption for road to be predicted in the bending section comprised at it.

6. oil consumption Forecasting Methodology according to claim 2, it is characterized in that, described target traffic information also includes the gradient section of road to be predicted, gradient section according to described road to be predicted and the gradient section oil consumption model of correspondence, calculate the road to be predicted total gradient section oil consumption at its gradient section comprised, particularly as follows:

Described gradient section oil consumption model includes the first gradient section oil consumption model and the second gradient section oil consumption model；

For each gradient section, perform following steps:

The difference in height of the terminal of described gradient section and starting point is defined as the mean inclination of described gradient section, mean inclination according to described gradient section and the first gradient section oil consumption model, calculating described road to be predicted at the first gradient oil consumption e4 of this gradient section is:

$e4=\frac{E4}{\mathrm{\&eta;c}}$

Wherein, E4=mg* (h2-h1), m is car mass, and g is acceleration of gravity, the terminal of h2 and h1 respectively described gradient section and the height of starting point, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

If described gradient section includes at least one slope road, then start to judge successively that whether Ge Po road is sharply descending slope road from the starting point of described gradient section；When determining sharply descending slope road, according to the gradient on each sharply descending slope road and horizontal length, the second gradient oil consumption model, calculate the oil consumption obtaining road to be predicted on each sharply descending slope road；By the road to be predicted oil consumption on each sharply descending slope road and value be defined as the road to be predicted second gradient oil consumption e5 at described gradient section；

By the described road to be predicted first gradient oil consumption e4 at described gradient section and second gradient oil consumption e5's and value, it is determined that for the described road to be predicted oil consumption at described gradient section；

By road to be predicted its each gradient section comprised oil consumption and value, it is determined that for the described road to be predicted total gradient section oil consumption at its gradient section comprised；

Wherein, the gradient on each sharply descending slope road of described basis and horizontal length, the second gradient oil consumption model, calculate the oil consumption obtaining each sharply descending slope road, specific as follows:

$e5i=\frac{E5i}{\mathrm{\&eta;c}}$

Wherein, E5i=mg*SlopPi*Li, SlopPi is the value of slope on i-th sharply descending slope road, and Li is the horizontal length on i-th sharply descending slope road, and e5i is the road to be predicted oil consumption on the i-th sharply descending slope road of described gradient section.

7. an oil consumption prediction unit, it is characterised in that including:

Target road conditions determine unit, for according to the electronic map data prestored, it is determined that at least one target traffic information that road to be predicted comprises；

Unit is determined in target road conditions oil consumption, for for every kind of target traffic information, from preset traffic information and oil consumption model corresponding relation, call the oil consumption model corresponding with described target traffic information, and the oil consumption model according to described target traffic information and correspondence, calculate the road to be predicted oil consumption under each target road conditions；

Unit is determined in total oil consumption, for by the road to be predicted oil consumption under each target road conditions and value, it is determined that for total oil consumption of described road to be predicted.

8. oil consumption prediction unit according to claim 7, it is characterised in that described target traffic information includes the average speed of road to be predicted, then described target road conditions oil consumption determines that unit includes:

Subelement is determined in first object road conditions oil consumption, for the average speed according to described road to be predicted and the average speed oil consumption model corresponding with average speed, calculates the road to be predicted base oil consumption under average speed；

Described first object road conditions oil consumption determines that subelement includes:

Speed Fuel Consumption determines unit, for from described average speed oil consumption model, it is determined that go out the unit length oil consumption that the average speed of described road to be predicted is corresponding；

Unit is determined in basis oil consumption, for the product by the length of described road to be predicted with the described unit length oil consumption determined, it is determined that for the base oil consumption of described road to be predicted.

9. oil consumption prediction unit according to claim 8, it is characterised in that described target traffic information also includes the junction point of road to be predicted, then described target road conditions oil consumption determines that unit also includes:

Subelement is determined in second target road conditions oil consumption, for the junction point according to described road to be predicted and the junction point oil consumption model corresponding with junction point, calculates the road to be predicted total junction point oil consumption at its junction point comprised；

Described second target road conditions oil consumption determines that subelement includes:

Unit is determined in single point of attachment oil consumption, for each junction point for road to be predicted, according to road to be predicted sails into this junction point the average speed sailing section into, roll away from this junction point roll away from the average speed in section, the speed factor of influence of this junction point, preset vehicle energy utilization factor, 1L gasoline produce energy and preset junction point oil consumption model, calculate the road to be predicted junction point oil consumption at this junction point；

Unit is determined in total junction point oil consumption, for by described road to be predicted its each junction point comprised junction point oil consumption and value, it is determined that for total junction point oil consumption of described its junction point comprised of road to be predicted.

10. oil consumption prediction unit according to claim 9, it is characterised in that described junction point oil consumption model includes the first junction point oil consumption model and the second junction point oil consumption model, and described single point of attachment oil consumption determines that unit includes:

Junction point speed determining unit, for according to sailing the average speed sailing section into of this junction point in road to be predicted into, rolling the speed factor of influence rolling the average speed in section, this junction point away from of this junction point away from, calculating the speed V obtaining this junction point_inter=(V1+V2) * K_inter/ 2, V1 and V2 respectively described road to be predicted wherein sails into sailing the average speed in section into and rolling the average speed in section, K away from of this junction point_interSpeed factor of influence for described junction point；

First junction point oil consumption model computing unit, for obtaining road to be predicted according to the first junction point oil consumption model calculating at the first oil consumption e1 of this junction point be:

$e1=\left\{\begin{array}{c}\frac{E1}{\mathrm{\&eta;c}};V1<V_{\mathrm{inter}}\\ 0;V1\&GreaterEqual;V_{\mathrm{inter}}\end{array}\right.$

Wherein, E1=m* (Vinter²–V1²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

Second junction point oil consumption model computing unit, for obtaining road to be predicted according to the second junction point oil consumption model calculating at the second oil consumption e2 of this junction point be:

$e2=\left\{\begin{array}{c}\frac{E2}{\mathrm{\&eta;c}};V2<V_{\mathrm{inter}}\\ 0;V2\&GreaterEqual;V_{\mathrm{inter}}\end{array}\right.$

Wherein, E2=m* (V2²–Vinter²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

Junction point model is added processing unit, for by road to be predicted this junction point the first oil consumption e1 and second oil consumption e2's and value, it is determined that for the described road to be predicted junction point oil consumption at described junction point.

11. oil consumption prediction unit according to claim 8, it is characterised in that described target traffic information also includes road curvature section, then described target road conditions oil consumption determines that unit also includes:

Subelement is determined in 3rd target road conditions oil consumption, for the bending section consumption model of the bending section according to described road to be predicted and correspondence, calculates the road to be predicted total bending section oil consumption in its bending section comprised；

Described 3rd target road conditions oil consumption determines that subelement includes:

Unit is determined in single detour oil consumption, for each the bending section comprised for road to be predicted, performs following steps:

According to the automobile side angle acceleration a that the radius of curvature R bending section is corresponding with radius of curvature, calculate the restriction speed Vcurve=(a*R) in described bending section^1/2；

When the absolute value of described restriction speed Vcurve and the difference of the average speed V3 of described road to be predicted is more than preset First Speed threshold value, calculates according to described bending section oil consumption model and obtain road to be predicted and at the oil consumption e3 in this bending section be:

$e3=\left\{\begin{array}{c}\frac{E3}{\mathrm{\&eta;c}};V3<\mathrm{Vcurve}\\ 0;V3\&GreaterEqual;\mathrm{Vcurve}\end{array}\right.$

Wherein, E3=m* (V3²–Vcurve²)/2, m are car mass, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

Unit is determined in total detour oil consumption, for the oil consumption in each bending section that road to be predicted is comprised at it and value, it is determined that always bend section oil consumption for road to be predicted in the bending section comprised at it.

12. oil consumption prediction unit according to claim 8, it is characterised in that described target traffic information also includes the gradient section of road to be predicted, then described target road conditions oil consumption determines that unit also includes:

Subelement is determined in 4th target road conditions oil consumption, for the gradient section oil consumption model of the gradient section according to described road to be predicted and correspondence, calculates the road to be predicted total gradient section oil consumption at its gradient section comprised；

Described gradient section oil consumption model includes the first gradient section oil consumption model and the second gradient section oil consumption model, then described 4th target road conditions oil consumption determines that subelement includes:

Unit is determined in single gradient section oil consumption, for for each gradient section, performing following steps:

The difference in height of the terminal of described gradient section and starting point is defined as the mean inclination of described gradient section, mean inclination according to described gradient section and the first gradient section oil consumption model, calculating described road to be predicted at the first gradient oil consumption e4 of this gradient section is:

$e4=\frac{E4}{\mathrm{\&eta;c}}$

Wherein, E4=mg* (h2-h1), m is car mass, and g is acceleration of gravity, the terminal of h2 and h1 respectively described gradient section and the height of starting point, and η is vehicle energy utilization factor, and c is the energy that 1L gasoline produces；

If described gradient section includes at least one slope road, then start to judge successively that whether Ge Po road is sharply descending slope road from the starting point of described gradient section；When determining sharply descending slope road, according to the gradient on each sharply descending slope road and horizontal length, the second gradient oil consumption model, calculate the oil consumption obtaining road to be predicted on each sharply descending slope road；By the road to be predicted oil consumption on each sharply descending slope road and value be defined as the road to be predicted second gradient oil consumption e5 at described gradient section；

By the described road to be predicted first gradient oil consumption e4 at described gradient section and second gradient oil consumption e5's and value, it is determined that for the described road to be predicted oil consumption at described gradient section；

Unit is determined in total gradient section oil consumption, for by road to be predicted its each gradient section comprised oil consumption and value, it is determined that for the described road to be predicted total gradient section oil consumption at its gradient section comprised；

Wherein, described single gradient section oil consumption determines that unit includes:

Sharply road binders consumption in descending slope determines unit, for the gradient according to each sharply descending slope road and horizontal length, the second gradient oil consumption model, calculates the oil consumption obtaining each sharply descending slope road, specific as follows:

$e5i=\frac{E5i}{\mathrm{\&eta;c}}$

Wherein, E5i=mg*SlopPi*Li, SlopPi is the value of slope on i-th sharply descending slope road, and Li is the horizontal length on i-th sharply descending slope road, and e5i is the road to be predicted oil consumption on the i-th sharply descending slope road of described gradient section.