CN105667521A

CN105667521A - Method and system for calculating total mass of vehicle

Info

Publication number: CN105667521A
Application number: CN201610221361.8A
Authority: CN
Inventors: 白雪松; 冯根奇; 张子寒; 林安; 陈小磊
Original assignee: Weichai Power Co Ltd
Current assignee: Weichai Power Co Ltd
Priority date: 2016-04-11
Filing date: 2016-04-11
Publication date: 2016-06-15
Anticipated expiration: 2036-04-11
Also published as: CN105667521B

Abstract

The invention discloses a method and system for calculating the total mass of a vehicle. The method comprises the steps of obtaining first engine output powers respectively corresponding to multiple running speeds of the vehicle in a slope-free constant-speed running state to form a first two dimensional table, obtaining second engine output powers respectively corresponding to multiple running speeds of the vehicle in an accelerated or up-hill running state to form a second two dimensional table, and calculating the total mass of the vehicle according to the first two dimensional table and the second two dimensional table. The accuracy and confidence level of the total mass of the vehicle can be improved, and the running economy and safety of the vehicle can be also improved.

Description

A kind of method for calculating vehicular gross combined weight and system

Technical field

The present invention relates to Mass Calculation field, in particular it relates to a kind of method for calculating vehicular gross combined weight and system.

Background technology

At present, increasing loading class vehicle starts the electronic control system of application of advanced, such as electric brake system (EBS), electric stabilizing system (ESP) etc., gross vehicle load is all set to control parameter by these systems, running into the many arteries and veins spectrum electromotors of such as many power simultaneously, during the selection of the multiple schedule of automatic gear-box, vehicular gross combined weight is also an important consideration parameter. Ordinary circumstance, vehicular gross combined weight is set to certain value parameter by each electronic system. But present situation is, loading class vehicle has the change of bigger vehicular gross combined weight between unloaded and fully loaded, it is difficult to precognition in advance, if the vehicular gross combined weight that actual vehicle gross mass and electronic system initially set is widely different, then can cause that system control accuracy is not high, control to lose efficacy, even badly influence the driving safety of vehicle.

The Patents of existing estimation vehicular gross combined weight, main point two big classes method: one is by external detection device, such as patent 201210042513.X measures the decrement between vehicle frame and vehicle bridge by the position sensor between vehicle frame and vehicle bridge, the i.e. deflection of leaf spring, speculates the rest mass obtaining vehicle; Two are based on vehicle vehicle dynamics equation, use various sensor, draw the information such as the acceleration of vehicle, speed, the gradient, by to ECU (EngineControlUnit, control unit of engine) in the extraction of electromotor operation information (such as: rotating speed, torque etc.), use kinetic balance equation to extrapolate the gross mass of vehicle. The quality that the method is measured is measured under state of motion of vehicle, and this type of patent is numerous, also has nothing in common with each other from method.

For above-mentioned second method, Patents has a common feature, i.e. the coefficient of rolling resistance f of vehicle, coefficient of air resistance C_D, front face area A etc. assumes that known, and gives definite value and be pre-stored in memorizer, so sets just extremely improper. Because coefficient of rolling resistance f can be subject to the impact of the factors such as pavement behavior, speed, Tyre structure, material, tire pressure, and range is very big.Similarly, for coefficient of air resistance C_D, one is difficult to test and makes the C of certain truck_DOccurrence, two is that vehicle is exposed to the external shape of environment and all affects C_DValue, such as compartment is with or without tarpaulin, and what goods was piled up whether neat all affects C_DThe size of value. About front face area A, being also individual variable that can not be predetermined, such as half hangs tractor-trailer train, and goods is stacked and compared rearward, and air-flow runs into again the formation secondary stop of goods walking around driver's cabin post polymerization. Therefore, for loading class vehicle, the method for vehicular gross combined weight of retrodicting according to power balance equation, the coefficient of rolling resistance f of any vehicle, coefficient of air resistance C_D, it is all not rigorous that front face area A is defined as known, and the vehicular gross combined weight necessarily tried to achieve has bigger error.

Summary of the invention

It is an object of the invention to provide a kind of method for calculating vehicular gross combined weight and system. Wherein, described method can not only improve accuracy and the credibility of vehicular gross combined weight, but also can improve economy and the safety that vehicle runs.

To achieve these goals, the present invention provides a kind of method for calculating vehicular gross combined weight. Described method includes:

Obtain described vehicle and be in first engine output corresponding respectively without the multiple travel speeds under domatic at the uniform velocity transport condition, form the first bivariate table;

Obtain the second engine output of multiple travel speeds correspondence respectively that described vehicle is under the state of giving it the gun or up-hill journey state, form the second bivariate table;

The gross mass obtaining described vehicle is calculated according to described first bivariate table and described second bivariate table.

Alternatively, the described vehicle of described acquisition is in first engine output corresponding respectively without the multiple travel speeds under domatic at the uniform velocity transport condition, forms the first bivariate table, specifically includes:

When the travel speed judging described vehicle reaches pre-set velocity, obtain the engine speed corresponding to the travel speed of described vehicle, motor torque, acceleration, road grade and accelerator pedal position;

Judge whether described vehicle is in without domatic at the uniform velocity transport condition according to described engine speed, accelerator pedal position, acceleration and road grade;

When judging that described vehicle is in without domatic at the uniform velocity transport condition, calculate, according to described engine speed and described motor torque, the first engine output obtained corresponding to described travel speed.

Alternatively, described judge whether described vehicle is in without domatic at the uniform velocity transport condition according to described engine speed, accelerator pedal position, acceleration and road grade, specifically include:

In first preset time period relevant to t and the second preset time period, judge that whether described engine speed and described accelerator pedal position fluctuate, and judge whether described acceleration and described road grade fluctuation range near null value are in preset range in preset range;

Judging that described engine speed and described accelerator pedal position fluctuate in preset range, and described acceleration and described road grade fluctuation range near null value are when being in preset range, then described vehicle is in without domatic at the uniform velocity transport condition, otherwise, described vehicle is not at without domatic at the uniform velocity transport condition

Wherein, t represents the moment obtaining the engine speed corresponding to travel speed of described vehicle, motor torque, acceleration, road grade and accelerator pedal position.

Alternatively, the described vehicle of described acquisition is in the second engine output that the multiple travel speeds under the state of giving it the gun or up-hill journey state are corresponding respectively, forms the second bivariate table, specifically includes:

When the travel speed judging described vehicle reaches pre-set velocity, obtain the acceleration corresponding to the travel speed of described vehicle and road grade;

Judge that whether described acceleration or described road grade are more than default threshold value;

When judging described acceleration or described road grade more than default threshold value, obtain the engine speed corresponding to the travel speed of described vehicle and motor torque;

The second engine output obtained corresponding to described travel speed is calculated according to described engine speed and described motor torque.

Alternatively, described method also includes:

Described second bivariate table is formed according to described travel speed, acceleration, road grade and the second engine output.

Alternatively, described calculate according to described first bivariate table obtain the gross mass of described vehicle with described second bivariate table, specifically include:

The trimotor output obtained in described second bivariate table corresponding to each travel speed is calculated according to described first bivariate table;

Ask for the second engine output of each travel speed in described second bivariate table and the difference of trimotor output;

The vehicular gross combined weight obtained in described second bivariate table corresponding to each travel speed is calculated according to described difference and described second bivariate table;

To described vehicular gross combined weight averaged, obtain the gross mass of described vehicle.

Correspondingly, the present invention also provides for a kind of system for calculating vehicular gross combined weight. Described system includes:

Sensor, for measuring the road grade residing for described vehicle acceleration in the process of moving and described vehicle;

Acquisition device, for obtaining described vehicle travel speed in the process of moving;

Control unit of engine, for storing the arteries and veins spectrogram of the part throttle characteristics of described vehicle motor;

Controller, it is connected with described sensor, acquisition device and control unit of engine, it is in first engine output corresponding respectively without the multiple travel speeds under domatic at the uniform velocity transport condition for obtaining described vehicle according to described acceleration, travel speed, road grade and arteries and veins spectrogram, forms the first bivariate table; Obtain the second engine output of multiple travel speeds correspondence respectively that described vehicle is under the state of giving it the gun or up-hill journey state, form the second bivariate table; And calculate, according to described first bivariate table and described second bivariate table, the gross mass obtaining described vehicle.

Alternatively, described system also includes:

Display device, is connected with described controller, for showing the gross mass of described vehicle.

Alternatively, described system also includes:

Input equipment, is connected with described controller, for clear and definite for driver vehicular gross combined weight is inputted described controller, so that described controller is according to the clear and definite vehicular gross combined weight correction machinery driving efficiency of driver.

Correspondingly, the present invention also provides for a kind of vehicle. Described vehicle includes the system for calculating vehicular gross combined weight.

Pass through technique scheme, obtain vehicle and be in first engine output corresponding respectively without the multiple travel speeds under domatic at the uniform velocity transport condition, form the first bivariate table, and acquisition vehicle is in the second engine output that the multiple travel speeds under the state of giving it the gun or up-hill journey state are corresponding respectively, form the second bivariate table; And calculate, according to the first bivariate table and the second bivariate table, the gross mass obtaining vehicle, accuracy and the credibility of vehicular gross combined weight can not only be improved, but also economy and the safety that vehicle runs can be improved.

Accompanying drawing explanation

In order to be illustrated more clearly that the embodiment of the present invention 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.It should be evident that the accompanying drawing in the following describes is only some embodiments of the present invention, 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 these figure.

Fig. 1 is the flow chart of the method for calculating vehicular gross combined weight that one embodiment of the invention provides;

Fig. 2 is the structural representation of the system for calculating vehicular gross combined weight that one embodiment of the invention provides.

Description of reference numerals

11 sensor 12 acquisition device 13 control unit of engine 14 controllers

15 display device 16 input equipment

Detailed description of the invention

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments. Based on the embodiment in the present invention, 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 protection of the invention.

Fig. 1 is the flow chart of the method for calculating vehicular gross combined weight that one embodiment of the invention provides. As it is shown in figure 1, the method for calculating vehicular gross combined weight that one embodiment of the invention provides includes:

In step S101, obtain described vehicle and be in first engine output corresponding respectively without the multiple travel speeds under domatic at the uniform velocity transport condition, form the first bivariate table.

Specifically, this step includes: when the travel speed judging described vehicle reaches pre-set velocity, obtain the engine speed corresponding to the travel speed of described vehicle, motor torque, acceleration, road grade and accelerator pedal position; Judge whether described vehicle is in without domatic at the uniform velocity transport condition according to described engine speed, accelerator pedal position, acceleration and road grade; When judging that described vehicle is in without domatic at the uniform velocity transport condition, calculate, according to described engine speed and described motor torque, the first engine output obtained corresponding to described travel speed.

More specifically, described judge whether described vehicle is in without domatic at the uniform velocity transport condition according to described engine speed, accelerator pedal position, acceleration and road grade, specifically include: in first preset time period relevant to t and the second preset time period, judge that whether described engine speed and described accelerator pedal position fluctuate, and judge whether described acceleration and described road grade fluctuation range near null value are in preset range in preset range; Judging that described engine speed and described accelerator pedal position fluctuate in preset range, and described acceleration and described road grade fluctuation range near null value are when being in preset range, then described vehicle is in without domatic at the uniform velocity transport condition, otherwise, described vehicle is not at without domatic at the uniform velocity transport condition, wherein, t represents the moment obtaining the engine speed corresponding to travel speed of described vehicle, motor torque, acceleration, road grade and accelerator pedal position.

It is known that when vehicle travels on smooth road surface, constant in speed, without under the state of the gradient, the output P of electromotor_e(the first engine output) is as follows with the relation of travel speed ν:

P_{e} = \frac{1}{η_{T}} (\frac{m g f v}{3600} + \frac{C_{D} {Av}^{3}}{76140}) - - - (1)

In formula, P_eRepresenting engine output, its unit is that kW, η T represents that machinery driving efficiency, m represent the gross mass of vehicle, and g represents that acceleration of gravity, f represent coefficient of rolling resistance, C_DRepresenting coefficient of air resistance, A represents that front face area, ν represent the travel speed of vehicle.

Due to parameter f, C_DAnd A is unknown and is difficult to determine exact value for loading class vehicle, so determine the output P of electromotor further through formula (2)_e:

P_{e} = \frac{T_{e} * n_{e}}{9549} - - - (2)

In formula, T_eRepresent motor torque, n_eRepresent engine speed. Wherein, n_e(obtaining typically via the conversion of electromotor angular velocity omega) can be directly read from control unit of engine. In order to obtain motor torque T_e, it is necessary in advance electromotor is demarcated, and the part throttle characteristics data of electromotor are stored in control unit of engine, from control unit of engine, then directly read motor torque numerical value.

It should be noted that the arteries and veins spectrogram (MAP) of Engine Load Characteristics carries out testing determining according to experimental prototype on testing stand, this process is called the demarcation of electromotor. Such as, the application to produce the arteries and veins spectrogram of Engine Load Characteristics, can by engine speed n_eSet one by one with load, measure motor torque T with dynamometer machine simultaneously_e, all rotating speeds and load are repeated above test, it is determined that abundant point, eventually form the arteries and veins spectrogram of Engine Load Characteristics. Wherein, the unit of engine speed is r/min, and load represents typically by accelerator pedal position. Preferably, in order to improve precision, that also can rotating speed and accelerator pedal position be divided is thin, and the data obtained are exactly that electromotor is at each group of rotating speed (n_e) and accelerator pedal position (accelerator open degree) under corresponding motor torque (T_e), data are finally stored in the read only memory ROM of control unit of engine with the form of bivariate table. When electromotor runs, the torque of electromotor can be obtained as long as carrying out tabling look-up according to operating mode. Due to the discrete magnitude that the data total amount of bivariate table is limited, and rotating speed and load during actual motion can be arbitrary value, so controller often adopts two-dimensional linear interpolation method when the actual amount of determination.

After vehicle launch, starting vehicular gross combined weight computing system, when the travel speed of vehicle arrives a certain setting speed (such as 30km/h), and when the gear residing for change speed gear box is not at low three gear, controller proceeds by the collection of data. Controller is communicated by CAN line and control unit of engine, can obtain the real-time torque (T of vehicle electromotor under arbitrary speed_e) and rotating speed (n_e), whether simultaneously controller receives the information of Gravity accelerometer, be at the uniform velocity by internal preset logical judgment vehicle, without gradient transport condition, if so, the then real-time torque (T of electromotor under this speed_e) and rotating speed (n_e) parameter is effective, calculates the output P obtaining electromotor according to formula (2)_e, can store data in the depositor RAM of controller.

Due in reality vehicle run time, speed be fluctuation, at the uniform velocity travelling is only a kind of relative concept, the gradient for " 0 " be also relative, judge vehicle at certain time point t whether at the uniform velocity, without the gradient traveling, need to meet the following conditions:

Vehicle is at (t_-1～t～t₊₁) in two time periods being formed of these 3 time points, engine speed n_e, and acceleration pedal position signal (accelerator open degree) fluctuation in the little scope of a certain regulation respectively, fluctuation range is less than the value range of regulation; The information simultaneously obtained according to Gravity accelerometer, the acceleration a of vehicle and the road grade θ recorded fluctuates near " 0 " value, fluctuation range is respectively in prespecified scope, now can determine that vehicle is at the uniform velocity, travels without the gradient, the motor torque (T that namely t collects_e) and rotating speed (n_e) effectively.It should be noted that the acceleration of vehicle can be recorded by Gravity accelerometer, the angle of gradient θ of road can pass through to measure acceleration of gravity component g in X-axis_xObtain:

θ=arcsing_x/g

From the above mentioned, the engine output of certain moment point t is obtained by formula (2), and now corresponding car speed ν can directly read from instrument or Tachographs.

For the sequential digit values collected, the scope of speed ν may be defined as in 30～70km/h, is certainly not restricted to this, and each speed point should uniform be opened, it is impossible to excessively concentrates or dispersion.

By the speed collected, power (v-P_e) series of values is stored in the RAM of controller with the form of bivariate table. As shown in table 1 below:

Table 1 (v-P_e) series of values

Speed	Power
		v₁	P_e1
v₂	P_e2
		v₃	P_e3
……	……

Then, in step s 102, obtain the second engine output of multiple travel speeds correspondence respectively that described vehicle is under the state of giving it the gun or up-hill journey state, form the second bivariate table.

Specifically, this step includes: when the travel speed judging described vehicle reaches pre-set velocity, obtain the acceleration corresponding to the travel speed of described vehicle and road grade; Judge that whether described acceleration or described road grade are more than default threshold value; When judging described acceleration or described road grade more than default threshold value, obtain the engine speed corresponding to the travel speed of described vehicle and motor torque; The second engine output obtained corresponding to described travel speed is calculated according to described engine speed and described motor torque.

More specifically, described method also includes: form described second bivariate table according to described travel speed, acceleration, road grade and the second engine output.

Vehicle is in order to accelerate (or climbing), it is necessary to electromotor sends bigger power, at this time, it may be necessary to open up the engine, increases fuel delivery, the arteries and veins spectrogram according to Engine Load Characteristics, reads corresponding engine speed (n_e), corresponding under accelerator pedal position (accelerator open degree) motor torque (T_e), and try to achieve electromotor engine output P under accelerating (or climbing) state according to above formula (2)_a(the second engine output), and write down the automobile's instant velocity in this moment simultaneously.

Be in the principle identical without the information gathering under the gradient at the uniform velocity transport condition with vehicle, sensor-based precision considers, when acceleration a or angle of gradient θ is greater than the threshold value of certain setting, just starts data acquisition. Owing to electromotor exists the time lag phenomenon of self input-output, it is necessary to collection information is carried out Effective judgement by the logic that prestores inside controller.

The packet gathered is containing three kinds of vehicle running states: giving it the gun without the gradient, have the gradient (upward slope) at the uniform velocity to travel or have the gradient (upward slope) to give it the gun, the collection data being under these three transport condition are virtual value. Require that each speed point to gathering data should uniform be opened, it is impossible to excessively concentrate or dispersion.

Similarly, by the speed collected, acceleration, the gradient, power (v-a-θ-P_a) series of values is stored in the RAM of controller with the form of bivariate table. As shown in table 2 below:

Table 2 (v-a-θ-P_a) series of values

Speed	Acceleration	Gradient inclination angle	Power
				v_a1	a₁	θ₁	P_a1
v_a2	a₂	θ₂	P_a2
				v_a3	a₃	θ₃	P_a3
……	……	……	……

Finally, in step s 103, calculate, according to described first bivariate table and described second bivariate table, the gross mass obtaining described vehicle.

Specifically, this step includes: calculate, according to described first bivariate table, the trimotor output obtained in described second bivariate table corresponding to each travel speed;Ask for the second engine output of each travel speed in described second bivariate table and the difference of trimotor output; The vehicular gross combined weight obtained in described second bivariate table corresponding to each travel speed is calculated according to described difference and described second bivariate table; To described vehicular gross combined weight averaged, obtain the gross mass of described vehicle.

It is well known that when accelerating (or having the gradient), engine power can also be tried to achieve as follows:

P_{a} = \frac{1}{η_{T}} (\frac{m g f v}{3600} + \frac{C_{D} {Av}^{3}}{76140} + \frac{m g s i n θ * v}{3600} + \frac{δ m a v}{3600}) - - - (3)

In formula, δ represents vehicle correction coefficient of rotating mass, (δ > 1), because vehicle is when accelerating, not only to overcome the inertia force that vehicle translational quality produces, also overcoming such as flywheel, tire etc. to rotate the moment of inertia produced, δ is that given value stores in the controller; η T represents machinery driving efficiency, is set to definite value and is stored in controller (under half cargo condition, test records); θ is that vehicle runs road gradient angle, is recorded by Gravity accelerometer; A represents vehicle acceleration, is recorded by Gravity accelerometer.

According to above formula (1) and above formula (3), can obtain:

Δ P = P_{a} - P_{e} = P_{a} = \frac{1}{η_{T}} (\frac{m g s i n θ * v}{3600} + \frac{δ m a v}{3600}) - - - (4)

Can be seen that Δ P be certain quality be m instantaneous velocity is the vehicle of ν, for overcoming climbing and accelerating the secondary power needed.

By searching (v-P_e) series of values bivariate table, try to achieve each speed (v_a1、v_a2、v_a3...) under corresponding P_eValue (trimotor output), owing to the speed ν of two groups of data acquisitions is probably different, is absent from relation one to one, and (v-P_e) series of values is also scattered, so two-dimensional linear interpolation method can be adopted to solve when calculating, obtains each speed (v_a1、v_a2、v_a3...) under corresponding P_eValue, as shown in table 3 below:

New (v-P tried to achieve by table 3_e) series of values

Speed	Power
		v_a1	P_e-a1
v_a2	P_e-a2
		v_a3	P_e-a3
……	……

Certainly, each speed (v_a1、v_a2、v_a3...) will at (v-P_e) series of values speed scope in, beyond (v-P_e) speed of series of values velocity interval is invalid.

By the related data of table 2, table 3, substitute into above formula (4), (v_a1、v_a2、v_a3...) in each speed under equilibrium equation can try to achieve the gross mass m of a car load, finally this group gross mass is averaged and as finally exporting result, as shown in formula (5):

In formula, k is the quantity of this group m value.

Above formula (4), compared with above formula (1), (3), there has not been coefficient of rolling resistance f, coefficient of air resistance C_D, front face area A these three uncertain parameter, improve accuracy and the credibility of vehicular gross combined weight result of calculation.

For general thinking, ask vehicle mass can use m=F/a (quality=power/acceleration), it is desirable to operating vehicle drag, but can't steer clear of coefficient of rolling resistance f, coefficient of air resistance C_D, front face area A these three parameter, and these three parameter excursion in load-carrying vehicle is very big. By seeking the difference DELTA P of power, avoid f, C_DWith A these three parameter.

By above formula (4) it can be seen that affecting car load gross mass m two the crucial important parameters calculated is δ (vehicle correction coefficient of rotating mass) and η_T(machinery driving efficiency). The rotary inertia of engine flywheel and vehicle tyre is generally only considered due to vehicle gyrating mass, the impact of other gyrating mass is less generally ignores, correction coefficient of rotating mass δ obtains so can be calculated by the rotary inertia of wheel and flywheel, again due to vehicle be in keep out gear ratio time, δ numerical value is bigger, δ during with high tap position has bigger difference, so the application also requires that vehicle is when starting to gather information, change speed gear box can not keep out gear at first three, and namely car speed to reach certain value (30km/h such as illustrated herein) and just starts data acquisition.So can reducing the scope of δ, the assignment making δ can be more accurate, improves the calculating accuracy of vehicular gross combined weight m.

It should be noted that, vehicle is in each the at the uniform velocity data acquisition of operating point and vehicle data acquisition under accelerating (or climbing) state, there is no dividing of sequencing, as long as meeting the logical message that controller is preset, namely the collection of data, arrangement can be completed, driver has not needed specific driver behavior yet, usually drives.

The present embodiment is in first engine output corresponding respectively without the multiple travel speeds under domatic at the uniform velocity transport condition by obtaining vehicle, form the first bivariate table, and acquisition vehicle is in the second engine output that the multiple travel speeds under the state of giving it the gun or up-hill journey state are corresponding respectively, form the second bivariate table; And calculate, according to the first bivariate table and the second bivariate table, the gross mass obtaining vehicle, accuracy and the credibility of vehicular gross combined weight can not only be improved, but also economy and the safety that vehicle runs can be improved.

For embodiment of the method, in order to be briefly described, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the embodiment of the present invention is not by the restriction of described sequence of movement, because according to the embodiment of the present invention, some step can adopt other orders or carry out simultaneously. Secondly, those skilled in the art also should know, embodiment described in this description belongs to preferred embodiment, necessary to the involved action not necessarily embodiment of the present invention.

Fig. 2 is the structural representation of the system for calculating vehicular gross combined weight that one embodiment of the invention provides. As in figure 2 it is shown, one embodiment of the invention including for the system calculating vehicular gross combined weight of providing: sensor 11, for measuring the road grade residing for described vehicle acceleration in the process of moving and described vehicle; Acquisition device 12, for obtaining described vehicle travel speed in the process of moving; Control unit of engine 13, for storing the arteries and veins spectrogram of the part throttle characteristics of described vehicle motor; Controller 14, it is connected with described sensor 11, acquisition device 12 and control unit of engine 13, it is in first engine output corresponding respectively without the multiple travel speeds under domatic at the uniform velocity transport condition for obtaining described vehicle according to described acceleration, travel speed, road grade and arteries and veins spectrogram, forms the first bivariate table; Obtain the second engine output of multiple travel speeds correspondence respectively that described vehicle is under the state of giving it the gun or up-hill journey state, form the second bivariate table; And calculate, according to described first bivariate table and described second bivariate table, the gross mass obtaining described vehicle.

In an embodiment of the present invention, described system also includes: display device 15, is connected with described controller 14, for showing the gross mass of described vehicle.

In an embodiment of the present invention, described system also includes: input equipment 16, it is connected with described controller 14, for clear and definite for driver vehicular gross combined weight is inputted described controller, so that described controller is according to the clear and definite vehicular gross combined weight correction machinery driving efficiency of driver.

In a particular embodiment, described sensor 11 is Gravity accelerometer, and described acquisition device 12 is instrument or travels log.

The design of native system is based on approach described above, controller 14 is connected by CAN and control unit of engine 13, instrument or Tachographs, Gravity accelerometer, controller draws vehicular gross combined weight information by the collection of information, process, the gross mass information m of vehicle is fed back to driver by display device 15 simultaneously, owing to vehicle empty mass is general all known, so driver this can infer the loading mass of this goods, and driving behavior is made correct selection.Vehicular gross combined weight information can also be transferred to the systems such as EBS (electric brake system), ESP (electric stabilizing system) as important parameter input simultaneously, improves economy, safety that vehicle runs. This system also relates to an input equipment 16, when driver clear and definite when knowing vehicular gross combined weight information, gross mass information can be transferred to controller 14 by input equipment 16, controller 14 can to machinery driving efficiency η_TNumerical value be modified, with improve calculate accuracy.

The spectrum of the engine power arteries and veins under each rotating speed of electromotor, accelerator open degree if control unit of engine 13 has prestored, controller can directly read engine power, without the calculating carrying out formula (2).

When the existing Gravity accelerometer of some system (such as TCS, inertial navigation system etc.) of vehicle, controller just can obtain signal either directly through CAN line, it is not necessary to one sensor of extra increase.

Do detailed description what one embodiment of the invention provided for calculating in the method for vehicular gross combined weight for what one embodiment of the invention provided for calculating the detail that further relates in the system of vehicular gross combined weight, do not repeated them here.

Correspondingly, the present invention also provides for a kind of vehicle. Described vehicle includes the above-described system for calculating vehicular gross combined weight. It should be noted that vehicle involved in the application, it is not only load-carrying vehicle, it is possible to be other vehicles that in the operation such as self-unloading, traction and passenger vehicle, gross mass alters a great deal.

The present invention will be described rather than limits the invention to it should be noted above-described embodiment, and those skilled in the art can design alternative embodiment without departing from the scope of the appended claims. In the claims, any reference marks that should not will be located between bracket is configured to limitations on claims. Word " comprises " and does not exclude the presence of the element or step not arranged in the claims. Word "a" or "an" before being positioned at element does not exclude the presence of multiple such element. The present invention by means of including the hardware of some different elements and can realize by means of properly programmed computer. In the unit claim listing some devices, several in these devices can be through same hardware branch and specifically embody. Word first, second and third use do not indicate that any order. Can be title by these word explanations.

The preferred embodiment of the present invention is described in detail above in association with accompanying drawing; but; the present invention is not limited to the detail in above-mentioned embodiment; in the technology concept of the present invention; technical scheme can being carried out multiple simple variant, these simple variant belong to protection scope of the present invention.

It is further to note that, each concrete technical characteristic described in above-mentioned detailed description of the invention, in reconcilable situation, it is possible to be combined by any suitable mode, in order to avoid unnecessary repetition, various possible compound modes are no longer illustrated by the present invention separately.

Additionally, can also carry out combination in any between the various different embodiment of the present invention, as long as it is without prejudice to the thought of the present invention, it should be considered as content disclosed in this invention equally.

Claims

1. the method for calculating vehicular gross combined weight, it is characterised in that described method includes:

2. the method for calculating vehicular gross combined weight according to claim 1, it is characterized in that, the described vehicle of described acquisition is in first engine output corresponding respectively without the multiple travel speeds under domatic at the uniform velocity transport condition, forms the first bivariate table, specifically includes:

3. the method for calculating vehicular gross combined weight according to claim 2, it is characterized in that, described judge whether described vehicle is in without domatic at the uniform velocity transport condition according to described engine speed, accelerator pedal position, acceleration and road grade, specifically include:

4. the method for calculating vehicular gross combined weight according to claim 1, it is characterized in that, the described vehicle of described acquisition is in the second engine output that the multiple travel speeds under the state of giving it the gun or up-hill journey state are corresponding respectively, forms the second bivariate table, specifically includes:

5. the method for calculating vehicular gross combined weight according to claim 4, it is characterised in that described method also includes:

6. the method for calculating vehicular gross combined weight according to claim 1, it is characterised in that described calculate according to described first bivariate table obtain the gross mass of described vehicle with described second bivariate table, specifically includes:

7. the system being used for calculating vehicular gross combined weight, it is characterised in that described system includes:

8. the system for calculating vehicular gross combined weight according to claim 7, it is characterised in that described system also includes:

9. the system for calculating vehicular gross combined weight according to claim 7, it is characterised in that described system also includes:

10. a vehicle, it is characterised in that described vehicle includes the system for calculating vehicular gross combined weight in claim 7-9 described in any one claim.