CN117719485A - Method, device, equipment and storage medium for determining energy management strategy - Google Patents

Method, device, equipment and storage medium for determining energy management strategy Download PDF

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CN117719485A
CN117719485A CN202410111261.4A CN202410111261A CN117719485A CN 117719485 A CN117719485 A CN 117719485A CN 202410111261 A CN202410111261 A CN 202410111261A CN 117719485 A CN117719485 A CN 117719485A
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preset
vehicle
energy consumption
managed
consumption value
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胡元礼
李萌
杨官龙
严钦山
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Deep Blue Automotive Technology Co ltd
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Deep Blue Automotive Technology Co ltd
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Priority to CN202410111261.4A priority Critical patent/CN117719485A/en
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Abstract

The application relates to a method, a device, equipment and a storage medium for determining an energy management strategy, and relates to the field of vehicle driving. The method comprises the following steps: and acquiring a first parameter set, wherein the first parameter set comprises the running speed of the vehicle to be managed at each preset moment when running on a first preset journey. And determining a first energy consumption value of the vehicle to be managed in the first preset distance according to the first parameter set and the first preset distance. And determining a target gradient factor according to the first energy consumption value and a first preset energy consumption value, wherein the target gradient factor is used for indicating the steep degree of the first preset distance, and the first preset energy consumption value is the energy consumption value of the vehicle to be managed when the vehicle runs on the flat road. And determining a target energy management strategy according to the target gradient factor and a first preset corresponding relation, wherein the first preset corresponding relation is a corresponding relation between a plurality of preset energy management strategies and a plurality of preset gradient factors, and the plurality of preset gradient factors comprise the target gradient factor. Thereby, the accuracy of the determined energy management strategy is improved.

Description

Method, device, equipment and storage medium for determining energy management strategy
Technical Field
The present application relates to the field of vehicle driving, and in particular, to a method, an apparatus, a device, and a storage medium for determining an energy management policy.
Background
In recent years, with the development of technology, the new energy hybrid electric vehicle has the advantages of less pollution, low oil consumption, comfortable driving, good acceleration, long driving range and the like in the driving process, which are selected by more and more users, and the energy consumption management requirement of the management equipment on the new energy hybrid electric vehicle is higher and higher. For example, the management device determines an energy management strategy during plug-in hybrid vehicle (PHEV) travel.
Currently, when the management device determines an energy management strategy in the PHEV driving process, the management device needs to determine the energy management strategy of the vehicle by collecting state information (such as road gradient) of the environment where the vehicle is located, so as to drive the vehicle to normally drive. However, in the above technical solution, due to the change of the vehicle running environment, the integrity and accuracy of the state information acquisition may be affected, thereby reducing the accuracy of the determined energy management strategy.
Disclosure of Invention
The application provides a method, a device, equipment and a storage medium for determining an energy management strategy, which are used for at least solving the technical problem that the accuracy of the determined energy management strategy in the related technology is low. The technical scheme of the application is as follows:
According to a first aspect to which the present application relates, there is provided a method of determining an energy management strategy, comprising: the determining means of the energy management strategy (hereinafter referred to as "determining means") acquires a first parameter set including a travel speed of the vehicle to be managed at each preset time when the vehicle travels on a first preset route. The determining device determines a first energy consumption value of the vehicle to be managed on the first preset distance according to the first parameter set and the first preset distance. The determining device determines a target gradient factor according to the first energy consumption value and a first preset energy consumption value, wherein the target gradient factor is used for indicating the steep degree of the first preset distance, and the first preset energy consumption value is the energy consumption value of the vehicle to be managed when the vehicle runs on a flat road. The determining device determines the target energy management strategy according to a target gradient factor and a first preset corresponding relation, wherein the first preset corresponding relation is a corresponding relation between a plurality of preset energy management strategies and a plurality of preset gradient factors, and the plurality of preset gradient factors comprise the target gradient factor.
According to the technical means, the determining device may acquire a first parameter set, where the first parameter set includes a running speed of the vehicle to be managed at each preset time when the vehicle runs on the first preset distance. The determining device may then determine a first energy consumption value of the vehicle to be managed on the first preset distance according to the first parameter set and the first preset distance. Then, the determining device may determine the target gradient factor according to the first energy consumption value and the first preset energy consumption value. The target gradient factor is used for indicating the steep degree of a first preset distance, and the first preset energy consumption value is the energy consumption value of the vehicle to be managed when the vehicle runs on a flat road. The determining device may determine the target energy management policy according to a target gradient factor and a first preset correspondence, where the first preset correspondence is a correspondence between a plurality of preset energy management policies and a plurality of preset gradient factors, and the plurality of preset gradient factors includes the target gradient factor. That is, the determining device may determine the steep degree of the distance travelled by the vehicle only according to the current driving state of the vehicle and the driving state when the vehicle is driving on a flat road by avoiding direct collection of road state information, thereby determining the energy management strategy for driving the vehicle to travel, and reducing the influence of the change of the driving environment on the determination of the energy management strategy. In this way, a valuable reference can be provided for judging the state of the driving distance, and the accuracy of the determined energy management strategy is improved.
In one possible embodiment, the method further comprises: the determining device obtains a second parameter set, wherein the second parameter set comprises a driving speed of each preset moment when the vehicle to be managed drives on a second preset path, and the second preset path is adjacent to the first preset path and is after the first preset path. The determining device determines a second energy consumption value of the vehicle to be managed on a second preset distance according to the second parameter set and the second preset distance. And the determining device updates the target gradient factor according to the second energy consumption value to obtain an updated target gradient factor, wherein the updated target gradient factor is used for indicating the steepness degree of the path formed by splicing the first preset path and the second preset path. The determining device updates the target energy management strategy according to the updated target gradient factor and the first preset corresponding relation to obtain an updated target energy management strategy.
According to the technical means, the determining device can determine the energy consumption value of the vehicle to be managed in the new path by collecting the running speed of the vehicle to be managed in the new path after determining the energy management strategy, and update the gradient condition of the total path of the vehicle to be managed running according to the energy consumption value of the vehicle to be managed in the new path, so as to continuously update the energy management strategy. Therefore, the energy management strategy used by the vehicle can be ensured to be a proper strategy, and the management efficiency of the energy consumption of the vehicle is improved.
In one possible implementation manner, the first preset route is a sub-route in the driving route to be managed, and the method further includes: the determining means determines whether the second preset route is a sub-route in the travel route to be managed. The method for updating the target gradient factor by the determining device according to the second energy consumption value and the first preset energy consumption value to obtain the updated target gradient factor comprises the following steps: and if the second preset distance is a sub distance in the driving distance to be managed, updating the target gradient factor by the determining device according to the second energy consumption value to obtain the updated target gradient factor.
According to the technical means, the determining device can determine whether the new distance traveled and the historical distance are distances within the same statistical period after determining the energy management strategy, so as to determine that the determined energy management strategy needs to be updated by combining the energy consumption values of part of the distances in the historical distance. Therefore, the method can be suitable for continuous roads with larger gradient drop, avoid the influence of the history route on the gradient condition of the determined new route, and improve the accuracy of the determined energy management strategy.
In one possible embodiment, the method further comprises: the determining device determines a first average speed of the vehicle to be managed on a first preset path according to the first parameter set. The determining device determines a first preset energy consumption value according to a first average speed and a second preset corresponding relation, wherein the first preset energy consumption value is specifically an energy consumption value of a vehicle to be managed when the vehicle runs on a flat road at the first average speed, the second preset corresponding relation is a corresponding relation between a plurality of preset running speeds and a plurality of second preset energy consumption values, the second preset energy consumption value is an energy consumption value of the vehicle to be managed when the vehicle runs on the flat road at the corresponding preset running speeds, and the plurality of preset running speeds comprise the first average speed.
According to the technical means, the determining device can determine the energy consumption value of the vehicle to be managed when the vehicle to be managed runs on the flat road at the average speed according to the average speed of the vehicle to be managed in the running path, and determine the gradient condition of the running path by combining the energy consumption value of the vehicle to be managed in the running path. In this way, the accuracy of the determined gradient situation of the driving path can be increased by providing a suitable reference energy consumption value for determining the gradient situation of the driving path.
According to a second aspect provided by the present application, there is provided a determining device of an energy management policy, including: the acquisition module is used for acquiring a first parameter set, wherein the first parameter set comprises the running speed of the vehicle to be managed at each preset moment when the vehicle to be managed runs on a first preset path. And the processing module is used for determining a first energy consumption value of the vehicle to be managed in the first preset distance according to the first parameter set and the first preset distance. The processing module is further used for determining a target gradient factor according to the first energy consumption value and a first preset energy consumption value, wherein the target gradient factor is used for indicating the steepness degree of the first preset path, and the first preset energy consumption value is the energy consumption value of the vehicle to be managed when the vehicle runs on the flat road. The processing module is further configured to determine a target energy management policy according to a target gradient factor and a first preset correspondence, where the first preset correspondence is a correspondence between a plurality of preset energy management policies and a plurality of preset gradient factors, and the plurality of preset gradient factors include the target gradient factor.
In one possible embodiment, the obtaining module is further configured to obtain a second parameter set, where the second parameter set includes a driving speed of the vehicle to be managed at each preset time when driving on a second preset distance, and the second preset distance is a distance adjacent to and after the first preset distance. The processing module is further used for determining a second energy consumption value of the vehicle to be managed in a second preset distance according to the second parameter set and the second preset distance. And the processing module is also used for updating the target gradient factor according to the second energy consumption value to obtain an updated target gradient factor, wherein the updated target gradient factor is used for indicating the steepness degree of the path formed by splicing the first preset path and the second preset path. And the processing module is also used for updating the target energy management strategy according to the updated target gradient factor and the first preset corresponding relation to obtain an updated target energy management strategy.
In one possible embodiment, the first predefined distance is a sub-distance of the travel distance to be managed. The processing module is further configured to determine whether the second preset route is a sub-route in the driving route to be managed. And the processing module is specifically configured to update the target gradient factor according to the second energy consumption value if the second preset path is a sub-path in the to-be-managed driving path, so as to obtain an updated target gradient factor.
In one possible embodiment, the processing module is further configured to determine a first average speed of the vehicle to be managed on a first preset trip according to the first parameter set. The processing module is further configured to determine a first preset energy consumption value according to a first average speed and a second preset corresponding relation, where the first preset energy consumption value is specifically an energy consumption value when the vehicle to be managed runs on the flat road at the first average speed, the second preset corresponding relation is a corresponding relation between a plurality of preset running speeds and a plurality of second preset energy consumption values, the second preset energy consumption value is an energy consumption value when the vehicle to be managed runs on the flat road at the corresponding preset running speeds, and the plurality of preset running speeds include the first average speed.
According to a third aspect provided by the present application, there is provided an electronic device comprising: a processor. A memory for storing processor-executable instructions. Wherein the processor is configured to execute instructions to implement the method of the first aspect and any of its possible embodiments described above.
According to a fourth aspect provided herein, there is provided a computer readable storage medium, which when executed by a processor of an electronic device, enables the electronic device to perform the method of any one of the above-mentioned first aspects and any one of its possible embodiments.
Therefore, the technical characteristics of the application have the following beneficial effects:
(1) The determining means may acquire a first parameter set including a travel speed of the vehicle to be managed at each preset time when the vehicle travels on the first preset route. The determining device may then determine a first energy consumption value of the vehicle to be managed on the first preset distance according to the first parameter set and the first preset distance. Then, the determining device may determine the target gradient factor according to the first energy consumption value and the first preset energy consumption value. The target gradient factor is used for indicating the steep degree of a first preset distance, and the first preset energy consumption value is the energy consumption value of the vehicle to be managed when the vehicle runs on a flat road. The determining device may determine the target energy management policy according to a target gradient factor and a first preset correspondence, where the first preset correspondence is a correspondence between a plurality of preset energy management policies and a plurality of preset gradient factors, and the plurality of preset gradient factors includes the target gradient factor. That is, the determining device may determine the steep degree of the distance travelled by the vehicle only according to the current driving state of the vehicle and the driving state when the vehicle is driving on a flat road by avoiding direct collection of road state information, thereby determining the energy management strategy for driving the vehicle to travel, and reducing the influence of the change of the driving environment on the determination of the energy management strategy. In this way, a valuable reference can be provided for judging the state of the driving distance, and the accuracy of the determined energy management strategy is improved.
(2) The determining device can determine the energy consumption value of the vehicle to be managed in the new path by collecting the running speed of the vehicle to be managed in the new path after determining the energy management strategy, and update the gradient condition of the total path of the vehicle to be managed running according to the energy consumption value of the vehicle to be managed in the new path, so as to continuously update the energy management strategy. Therefore, the energy management strategy used by the vehicle can be ensured to be a proper strategy, and the management efficiency of the energy consumption of the vehicle is improved.
(3) The determining device may determine whether the new distance traveled and the historical distance are distances within the same statistical period after determining the energy management policy, and further determine that the determined energy management policy needs to be updated in combination with the energy consumption value of a part of distances in the historical distance. Therefore, the method can be suitable for continuous roads with larger gradient drop, avoid the influence of the history route on the gradient condition of the determined new route, and improve the accuracy of the determined energy management strategy.
(4) The determining device can determine the energy consumption value of the vehicle to be managed when the vehicle to be managed runs on a flat road at the average speed according to the average speed of the vehicle to be managed in the running path, and determine the gradient condition of the running path by combining the energy consumption value of the vehicle to be managed in the running path. In this way, the accuracy of the determined gradient situation of the driving path can be increased by providing a suitable reference energy consumption value for determining the gradient situation of the driving path.
It should be noted that, the technical effects caused by any implementation manner of the second aspect to the fourth aspect may refer to the technical effects caused by the corresponding implementation manner in the first aspect, which are not described herein.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application and do not constitute an undue limitation on the application.
FIG. 1 is a schematic diagram of a communication system, shown in accordance with an exemplary embodiment;
FIG. 2 is a flowchart illustrating a method of determining an energy management strategy, according to an exemplary embodiment;
FIG. 3 is a flowchart illustrating yet another method of determining an energy management strategy, according to an exemplary embodiment;
FIG. 4 is a schematic diagram illustrating an example relationship between a total journey and a plurality of sub journeys, according to an example embodiment;
FIG. 5 is a flowchart illustrating yet another method of determining an energy management strategy, according to an exemplary embodiment;
FIG. 6 is a flowchart illustrating yet another method of determining an energy management strategy, according to an exemplary embodiment;
FIG. 7 is a flowchart illustrating yet another method of determining an energy management strategy, according to an exemplary embodiment;
FIG. 8 is a flowchart illustrating yet another method of determining an energy management strategy, according to an exemplary embodiment;
FIG. 9 is a flowchart illustrating yet another method of determining an energy management strategy, according to an exemplary embodiment;
FIG. 10 is a block diagram illustrating a determination device of an energy management strategy according to an exemplary embodiment;
fig. 11 is a block diagram of an electronic device, according to an example embodiment.
Detailed Description
In order to enable those skilled in the art to better understand the technical solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
Before describing the method for determining the energy management policy provided in the embodiments of the present application in detail, the implementation environment and application field Jing Jinhang of the embodiments of the present application will be described.
First, an application scenario of the embodiment of the present application will be described.
With the development of new energy vehicles in recent years, the new energy hybrid vehicles are selected by more and more customers with the advantages of less pollution, low fuel consumption, comfortable driving, good acceleration, long driving range and the like in the driving process, but the new energy vehicles can have better dynamic property, economy, noise, vibration and harshness (NVH) performance only when a power battery maintains certain electric quantity. Vehicle performance is severely degraded when the amount of electricity is low. At present, because a range-extending new energy vehicle (such as PHEV) is not directly involved in driving the vehicle, when the vehicle is used for coping with different road conditions, particularly some roads with more slopes, the vehicle is often poor in electric quantity maintenance capability, so that the electric quantity of the vehicle is reduced quickly, the vehicle performance is poor, and when the vehicle is in a long downhill, the engine is still continuously generating electricity, so that the charging is redundant. As such, the energy consumption management requirements during the running of the vehicle become higher and higher.
Currently, when the management device determines an energy management strategy in the PHEV driving process, the management device needs to determine the energy management strategy of the vehicle by collecting state information (such as road gradient) of the environment where the vehicle is located, so as to drive the vehicle to normally drive.
However, in the above technical solution, due to the change of the vehicle running environment, the integrity and accuracy of the state information acquisition may be affected, thereby reducing the accuracy of the determined energy management strategy.
In order to solve the above-mentioned problems, the embodiment of the present application provides a method for determining an energy management policy, where the method for determining an energy management policy provided in the embodiment of the present application is applied to a scenario for determining an energy management policy of a vehicle. The determining device can determine the energy consumption value of the vehicle to be managed in the preset distance by acquiring the driving speed of the vehicle to be managed at each preset moment when the vehicle to be managed is driven in the preset distance, and determine the target gradient factor for indicating the steepness degree of the preset distance by determining the ratio of the energy consumption value of the vehicle to be managed in the preset distance to the energy consumption value of the vehicle to be managed when the vehicle to be managed is driven on a flat road. And then, the determining device can take the preset energy management strategy corresponding to the gradient factor which is the same as the target gradient factor in the preset gradient factors as the target energy management strategy according to the corresponding relation between the preset energy management strategies and the preset gradient factors, so as to obtain the target energy management strategy. That is, the determining device may determine the steep degree of the distance travelled by the vehicle only according to the current driving state of the vehicle and the driving state when the vehicle is driving on a flat road by avoiding direct collection of road state information, thereby determining the energy management strategy for driving the vehicle to travel, and reducing the influence of the change of the driving environment on the determination of the energy management strategy. In this way, a valuable reference can be provided for judging the state of the driving distance, and the accuracy of the determined energy management strategy is improved.
The following describes an implementation environment of an embodiment of the present application.
As shown in fig. 1, a communication system according to an embodiment of the present application includes: an acquisition device 101 and a management device (i.e. a determining means) 102. Wherein the acquisition device 101 and the management device 102 are both in-vehicle devices in the vehicle 103, and the management device 102 can perform wired/wireless communication with the acquisition device 101.
Specifically, the collecting device 101 may collect the driving speed of each preset time when the vehicle 103 is driving on the preset path, obtain a plurality of driving speeds corresponding to the preset path, and send the plurality of driving speeds corresponding to the preset path to the management device 102. Then, the management device 102 may determine a target energy consumption value of the vehicle 103 on the preset distance according to the plurality of driving speeds corresponding to the preset distance from the acquisition device 101, and determine a target gradient factor for indicating the steepness degree of the preset distance in combination with the reference energy consumption value of the vehicle 103 when driving on the flat road. Then, the management device 102 may use, as the target energy management policy, a preset energy management policy corresponding to a gradient factor that is the same as the target gradient factor in the plurality of preset gradient factors according to a preset correspondence between the plurality of preset energy management policies and the plurality of preset gradient factors, so as to obtain the target energy management policy corresponding to the target gradient factor.
In some embodiments, the management device 102 may manage the energy consumption of the vehicle 103 in response to a target energy management policy.
It should be noted that, the embodiment of the present application does not limit the acquisition device 101. For example, the acquisition device 101 may be a vehicle speed sensor on a gearbox in the vehicle 103. As another example, the acquisition device 101 may be a wheel speed sensor of a body electronic stability system (electronic stability program, ESP) in the vehicle 103. As another example, the acquisition device 101 may be a transmission control unit (transmission control unit, TCU) in the vehicle 103.
Alternatively, embodiments of the present application are not limited to the management device 102. For example, the management device 102 may be an onboard host in the vehicle 103. As another example, the management device 102 may be an electronic controller unit (electronic control unit, ECU) in the vehicle 103. As another example, the management device 102 may be a complete vehicle controller (vehicle control unit, VCU) in the vehicle 103.
For ease of understanding, the following detailed description of the method of determining the energy management strategy provided herein is provided in connection with the accompanying drawings.
FIG. 2 is a flowchart illustrating a method of determining an energy management strategy, according to an exemplary embodiment, including the steps of: S201-S204.
S201, the determining device acquires a first parameter set.
The first parameter set may include a driving speed of the vehicle to be managed at each preset time when the vehicle is driving on the first preset path.
It should be noted that, in the embodiment of the present application, the time interval between two adjacent preset moments is not limited. For example, the time interval between two adjacent preset moments may be 1 minute. For another example, the time interval between two adjacent preset moments may be 1 second. As another example, the time interval between two adjacent preset moments may be 10 milliseconds.
For example, if the vehicle to be managed is driven into the first preset path at 8 points 12 and is driven out of the first preset path at 8 points 12 in 55 milliseconds, the preset time includes: the first set of parameters may include: the travel speed corresponding to 10 ms at 8 points 12 is 20 km/h, the travel speed corresponding to 20 ms at 8 points 12 is 22 km/h, the travel speed corresponding to 30 ms at 8 points 12 is 19 km/h, the travel speed corresponding to 40 ms at 8 points 12 is 19.5 km/h and the travel speed corresponding to 50 ms at 8 points 12 is 21.1 km/h.
In one possible implementation, the determining means may receive a first set of parameters from wheel speed sensors of an ESP in the vehicle to be managed.
In another possible implementation, the determining means may receive a first set of parameters from a TCU in the vehicle to be managed.
S202, the determining device determines a first energy consumption value of the vehicle to be managed on a first preset distance according to the first parameter set and the first preset distance.
In one possible implementation, the determining means stores parameter information such as driving torque, driving efficiency, tire radius, gear ratio, and vehicle quality of service of the vehicle to be managed. The determining means may determine the first energy consumption value based on a driving torque, a driving efficiency, a tire radius, a gear ratio, a vehicle preparation quality, a first parameter set and a first preset distance of the vehicle to be managed.
In one possible design, the first energy consumption value may be represented by equation one, equation two, equation three, and equation four.
Wherein,for indicating v (t 1 ) Corresponding vehicle drive power, v (t 1 ) For indicating the preset time t in the first parameter set 1 Is t 1 For indicating a first preset moment of the n preset moments of the first parameter set (i.e. the first preset moment of the n preset moments ordered in time sequence), T for indicating the driving torque of the vehicle to be managed, i for indicating the gear ratio of the vehicle to be managed, η for indicating the driving efficiency of the vehicle to be managed, r for indicating the wheel radius of the vehicle to be managed >For indicating v (t 1 ) Corresponding vehicle acceleration consumption power, M being used to indicate the vehicle servicing quality of the vehicle to be managed, < +.>For indicating the vehicle to be managed to be t at the preset time 1 Acceleration of the vehicle at time,/->For indicating that the vehicle to be managed is at a running speed v (t 1 ) Power consumption during constant speed running, P 1 For indicating a first energy consumption value, S 1 For indicating the distance of the first preset distance, t n The method comprises the steps of indicating an nth preset time (namely, the last preset time in the n preset times ordered according to time sequence) in n preset times of a first parameter set.
In one possible design, if the vehicle to be managed is a PHEV, the driving torque of the vehicle to be managed may be the driving motor torque of the vehicle to be managed, and the driving efficiency of the vehicle to be managed may be the driving motor efficiency of the vehicle to be managed.
S203, the determining device determines the target gradient factor according to the first energy consumption value and the first preset energy consumption value.
The target gradient factor is used for indicating the steepness degree of the first preset distance.
It should be noted that, in the embodiment of the present application, the relationship between the gradient factor and the steep degree is not limited. For example, the grade factor may be proportional to the degree of steepness (i.e., the greater the grade factor, the greater the degree of steepness). As another example, the gradient factor may be inversely proportional to the degree of steepness (i.e., the greater the gradient factor, the less steep the degree).
In one possible implementation, the determining device further stores a first preset energy consumption value, where the first preset energy consumption value is an energy consumption value of the vehicle to be managed when driving on a flat road. The determining means may obtain the target gradient factor by determining a ratio between the first energy consumption value and a first preset energy consumption value. The target gradient factor is proportional to the steep degree of the first preset distance.
In one possible design, the target grade factor may be represented by equation five.
Wherein f is used for indicating a target gradient factor, P 1 ′ For indicating a first preset energy consumption value.
S204, the determining device determines a target energy management strategy according to the target gradient factor and the first preset corresponding relation.
In one possible implementation manner, the determining device further stores a first preset correspondence, where the first preset correspondence is a correspondence between a plurality of preset energy management policies and a plurality of preset gradient factors. If the determining device determines that the plurality of preset gradient factors include the target gradient factor, the determining device may use a preset energy management policy corresponding to a gradient factor identical to the target gradient factor among the plurality of preset gradient factors as the target energy management policy, thereby determining the target energy management policy.
Optionally, if the determining device determines that the plurality of preset gradient factors do not include the target gradient factor, the determining device may determine, according to the target gradient factor, a first gradient factor and a second gradient factor from the plurality of preset gradient factors, and determine, according to a first preset correspondence, a first energy management policy corresponding to the first gradient factor, and a second energy management policy corresponding to the second gradient factor, where the first gradient factor is a gradient factor, in the plurality of preset gradient factors, having a difference value with the target gradient factor smaller than a preset threshold value and smaller than the target gradient factor, and the second gradient factor is a gradient factor, in the plurality of preset gradient factors, having a difference value with the target gradient factor smaller than a preset threshold value and greater than the target gradient factor. The determining device may then generate a third energy management strategy based on the difference between the target grade factor and the first and second grade factors, in combination with the first and second energy management strategies.
For example, the first preset correspondence may include: the preset gradient factor 0 corresponds to the power generation level 0 (i.e., energy management strategy), the preset gradient factor 1 corresponds to the power generation level 1, the preset gradient factor 2 corresponds to the power generation level 2, the preset gradient factor 3 corresponds to the power generation level 3, and the preset gradient factor 4 corresponds to the power generation level 4. The power generation levels are determined according to the state of charge (SOC) of the battery in the vehicle to be managed. If the target gradient factor is 2.3 and the preset threshold is 0.1, the determining device determines that the first gradient factor is 2, the second gradient factor is 3, the first energy consumption management strategy is a power generation level 2, the second energy management strategy is a power generation level 3, and the third energy management strategy is a power generation level 2.3.
The technical scheme provided by the embodiment at least brings the following beneficial effects: the determining means may acquire a first parameter set including a travel speed of the vehicle to be managed at each preset time when the vehicle travels on the first preset route. The determining device may then determine a first energy consumption value of the vehicle to be managed on the first preset distance according to the first parameter set and the first preset distance. Then, the determining device may determine the target gradient factor according to the first energy consumption value and the first preset energy consumption value. The target gradient factor is used for indicating the steep degree of a first preset distance, and the first preset energy consumption value is the energy consumption value of the vehicle to be managed when the vehicle runs on a flat road. The determining device may determine the target energy management policy according to a target gradient factor and a first preset correspondence, where the first preset correspondence is a correspondence between a plurality of preset energy management policies and a plurality of preset gradient factors, and the plurality of preset gradient factors includes the target gradient factor. That is, the determining device may determine the steep degree of the distance travelled by the vehicle only according to the current driving state of the vehicle and the driving state when the vehicle is driving on a flat road by avoiding direct collection of road state information, thereby determining the energy management strategy for driving the vehicle to travel, and reducing the influence of the change of the driving environment on the determination of the energy management strategy. In this way, a valuable reference can be provided for judging the state of the driving distance, and the accuracy of the determined energy management strategy is improved.
In some embodiments, in order to continuously update the target energy management policy, as shown in fig. 3, after the determining device determines the target energy management policy (i.e. S204), the determining method of the energy management policy provided in the embodiment of the present application may further include the following steps: S301-S304.
S301, the determining device acquires a second parameter set.
The second parameter set may include a driving speed of the vehicle to be managed at each preset time when the vehicle is driving on the second preset distance. The second preset distance is a distance adjacent to and after the first preset distance.
Illustratively, as shown in FIG. 4, a relationship between a plurality of sub-ranges in a total range is shown. Wherein the total distance S comprises: sub-path A, sub-path B, sub-path C and sub-path D. If the first preset path is the sub path B, the second preset path is the sub path C.
S302, the determining device determines a second energy consumption value of the vehicle to be managed on a second preset distance according to the second parameter set and the second preset distance.
It should be noted that, for the process of determining, by the determining device, the second energy consumption value of the vehicle to be managed in the second preset path according to the second parameter set and the second preset path, reference may be made to the description of determining, by the determining device, the first energy consumption value (i.e. 202) of the vehicle to be managed in the first preset path according to the first parameter set and the first preset path, which is not repeated herein.
And S303, updating the target gradient factor by the determining device according to the second energy consumption value to obtain the updated target gradient factor.
The updated target gradient factor is used for indicating the steepness degree of a path formed by splicing the first preset path and the second preset path.
In one possible design, the updated target grade factor may be represented by equation six.
Wherein f ′ For indicating updated target gradient factor, P 2 For indicating a second energy consumption value.
And S304, the determining device updates the target energy management strategy according to the updated target gradient factor and the first preset corresponding relation to obtain an updated target energy management strategy.
For example, the first preset correspondence may include: the preset gradient factor 1 corresponds to the power generation level 1, the preset gradient factor 2 corresponds to the power generation level 2, the preset gradient factor 3 corresponds to the power generation level 3, the preset gradient factor 4 corresponds to the power generation level 4, the target gradient factor is 2, and the target energy management strategy is the power generation level 2. If the updated target grade factor is 3, the updated target energy management strategy is power generation grade 3.
It can be understood that the determining device may determine the energy consumption value of the vehicle to be managed in the new path by collecting the running speed of the vehicle to be managed in the new path after determining the energy management policy, and update the gradient condition of the total path on which the vehicle to be managed runs according to the energy consumption value of the vehicle to be managed in the new path, so as to implement continuous update of the energy management policy. Therefore, the energy management strategy used by the vehicle can be ensured to be a proper strategy, and the management efficiency of the energy consumption of the vehicle is improved.
In some embodiments, in order to adapt to a road with a larger gradient drop and continuity, as shown in fig. 5, after the determining device determines the second energy consumption value of the vehicle to be managed on the second preset path (i.e. S302), the determining method of the energy management strategy provided in the embodiment of the present application may further include the following steps: s501.
S501, the determining device determines whether the second preset route is a sub-route in the driving route to be managed.
The first preset route is a sub-route in the driving route to be managed.
For example, in combination with the total distance shown in fig. 4, if the sub-distance a, the sub-distance B, and the sub-distance C are all sub-distances of the travel distance to be managed, and the first preset distance is the sub-distance B, and the second preset distance is the sub-distance C, the determining device determines that the second preset distance is the sub-distance of the travel distance to be managed. If the sub-route A, the sub-route B and the sub-route C are all sub-routes of the driving route to be managed, and the first preset route is the sub-route C and the second preset route is the sub-route D, the determining device determines that the second preset route is not the sub-route in the driving route to be managed.
In one possible implementation, the determining device may determine whether the route travelled by the vehicle to be managed is a sub-route in the route to be managed by recording the travel distance of the vehicle to be managed.
The distance to be managed is, for example, 1000 meters, and the determining device starts recording the distance travelled by the vehicle to be managed when the vehicle to be managed is driven into the distance to be managed. If the determining device determines that the vehicle to be managed runs for 200 meters, the determining device determines that the distance of 200 meters is a sub-distance in the running distance to be managed. If the determining device determines that the vehicle to be managed runs 1000 meters and then 300 meters, the determining device determines that the 300-meter journey is not a sub journey in the journey to be managed.
In some embodiments, if the determining device determines that the second preset distance is a sub distance in the travel distance to be managed, the determining device executes S303.
In other embodiments, if the determining device determines that the second preset distance is not a sub-distance in the to-be-managed driving distance, the determining device deletes a first sub-distance with the same distance as the second preset distance in the to-be-managed driving distance, and adds the second preset distance to the deleted to-be-managed driving distance, so as to obtain the updated to-be-managed driving distance. Then, the determining device determines the target energy management strategy according to the energy consumption value corresponding to each sub-route in the updated driving route to be managed (i.e. the steps S203-S204).
For example, in combination with the total distance shown in fig. 4, if the sub-distance a, the sub-distance B, and the sub-distance C are all sub-distances of the to-be-managed travel distance, and the first preset distance is the sub-distance C, and the second preset distance is the sub-distance D, the determining device deletes the sub-distance a from the to-be-managed travel distance, and adds the sub-distance D to the deleted to-be-managed travel distance, to obtain an updated to-be-managed travel distance, where the updated to-be-managed travel distance includes: sub-path B, sub-path C, and sub-path D.
It may be appreciated that the determining means may determine that the determined energy management policy needs to be updated in combination with the energy consumption value of a part of the historic routes by determining whether the new route and the historic route are routes within the same statistical period after determining the energy management policy. Therefore, the method can be suitable for continuous roads with larger gradient drop, avoid the influence of the history route on the gradient condition of the determined new route, and improve the accuracy of the determined energy management strategy.
In some embodiments, in order to select an appropriate energy consumption value of a flat road, as shown in fig. 6, after the determining device acquires the first parameter set (i.e. S201), the determining method of the energy management policy provided in the embodiment of the present application may further include the following steps: S601-S602.
S601, determining a first average speed of the vehicle to be managed in a first preset distance according to a first parameter set by the determining device.
In one possible design, the first average speed may be represented by equation seven.
Wherein v is 1 For indicating the first average speed.
S602, the determining device determines a first preset energy consumption value according to the first average speed and the second preset corresponding relation.
In one possible implementation manner, the determining device further stores a second preset corresponding relationship, where the second preset corresponding relationship is a corresponding relationship between a plurality of preset running speeds and a plurality of second preset energy consumption values, the second preset energy consumption value is an energy consumption value when the vehicle to be managed runs on the flat road at a corresponding preset running speed, and the plurality of preset running speeds includes the first average speed. The determining device may use a second preset energy consumption value corresponding to a running speed identical to the first average speed among the plurality of preset running speeds as the first preset energy consumption value, so as to determine the first preset energy consumption value, where the first preset energy consumption value is specifically an energy consumption value when the vehicle to be managed runs on the flat road at the first average speed.
It is understood that the determining device may determine, according to an average speed of the vehicle to be managed in the driving path, an energy consumption value of the vehicle to be managed when driving on a flat road at the average speed, and determine a gradient condition of the driving path in combination with the energy consumption value of the vehicle to be managed in the driving path. In this way, the accuracy of the determined gradient situation of the driving path can be increased by providing a suitable reference energy consumption value for determining the gradient situation of the driving path.
In some embodiments, in order to select an appropriate energy consumption value of a flat road in a process of continuously updating a target energy management policy, as shown in fig. 7, after the determining device determines that the second preset route is a sub-route in the driving route to be managed, the determining method of the energy management policy provided in the embodiment of the present application may further include: S701-S702.
S701, determining a second average speed of the vehicle to be managed on a path formed by splicing the first preset path and the second preset path according to the first parameter set and the second parameter set by the determining device.
S702, updating the first preset energy consumption value by the determining device according to the second average speed and the second preset corresponding relation to obtain an updated first preset energy consumption value.
The updated first preset energy consumption value is an energy consumption value of the vehicle to be managed when the vehicle runs on the flat road at the second average speed.
In the embodiment of the present application, the target gradient factor updated in S303 may be represented by the formula eight.
Wherein P is 1 "for indicating the updated first preset energy consumption value".
It can be understood that the determining device may determine, after determining that the new distance and the historical distance are distances within the same statistical period, an average speed of the vehicle to be managed in the total distance by calculating the average speed of the vehicle to be managed in the total distance, determine an energy consumption value of the vehicle to be managed when the vehicle to be managed runs on a flat road at the average speed, and update a gradient condition of the total distance by combining the energy consumption value of the vehicle to be managed in the total distance, so as to update the determined energy management strategy. In this way, the accuracy of the energy management strategy used by the vehicle is improved.
The following describes a method for determining an energy management policy according to an embodiment of the present application with reference to a specific example. As shown in fig. 8, the determining means may acquire the average driving energy consumption per unit mileage of the vehicle (i.e., the first energy consumption value) and calculate the road factor (i.e., the target gradient factor) based on the average driving energy consumption per unit mileage. Next, the determining means corrects the generated power according to the road factor (i.e., determines the target energy management strategy).
Specifically, as shown in fig. 9, the method for determining an energy management policy provided in the embodiment of the present application includes:
step one, the determining device calculates the wheel end driving power through the wheel end torque and the vehicle speed.
And step two, the determining device calculates the acceleration of the vehicle through the vehicle speed, and calculates the acceleration consumption power according to the vehicle preparation quality.
And thirdly, calculating the power consumption of the vehicle when the vehicle runs at a constant speed by the determining device according to the driving power of the wheel end and the accelerating power consumption.
And step four, the determining device calculates the unit mileage consumed energy of the vehicle according to the consumed power when the vehicle runs at a constant speed.
And fifthly, the determining device calculates a road factor according to the unit mileage consumed energy of the vehicle.
Step six, the determining device determines whether the road factor is greater than 1.
In some embodiments, if the determining means determines that the road factor is less than or equal to 1, the determining means determines the generated power by performing a difference calculation on the 0 th generation level and the 1 st generation level.
In other embodiments, if the determining means determines that the road factor is greater than 1, the determining means performs step seven.
Step seven, the determining device determines whether the road factor is greater than a first threshold.
In some embodiments, if the determining means determines that the road factor is less than or equal to the first threshold, the determining means determines the generated power by performing a difference calculation on the level 1 generated power level and the level 2 generated power level.
In other embodiments, if the determining means determines that the road factor is greater than the first threshold, the determining means determines the generated power by performing a difference calculation on the level 2 and level 3 generated power levels.
That is, the generated power under different road conditions is corrected through road factors, the problem that the adaptability of the electric quantity holding capacity of the extended-range new energy vehicle is poor under different road conditions is solved, and the power performance, the economy and the NVH performance of the vehicle are improved.
The foregoing description of the solution provided in the embodiments of the present application has been mainly presented in terms of a method. In order to implement the above functions, the energy management policy determining device or the electronic device includes a hardware structure and/or a software module that perform respective functions. Those of skill in the art will readily appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, according to the above method, the functional modules may be divided by an exemplary determining device or electronic device for an energy management policy, for example, the determining device or electronic device for an energy management policy may include each functional module corresponding to each functional division, or two or more functions may be integrated into one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present application, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation.
FIG. 10 is a block diagram illustrating a determination device of an energy management strategy according to an exemplary embodiment. Referring to fig. 10, the energy management strategy determining apparatus 1000 includes: an acquisition module 1001 and a processing module 1002.
The obtaining module 1001 is configured to obtain a first parameter set, where the first parameter set includes a driving speed of a vehicle to be managed at each preset time when the vehicle is driving on a first preset distance. The processing module 1002 is configured to determine a first energy consumption value of the vehicle to be managed on a first preset trip according to the first parameter set and the first preset trip. The processing module 1002 is further configured to determine a target gradient factor according to the first energy consumption value and a first preset energy consumption value, where the target gradient factor is used to indicate a steep degree of the first preset path, and the first preset energy consumption value is an energy consumption value of the vehicle to be managed when the vehicle is running on a flat road. The processing module 1002 is further configured to determine a target energy management policy according to a target gradient factor and a first preset correspondence, where the first preset correspondence is a correspondence between a plurality of preset energy management policies and a plurality of preset gradient factors, and the plurality of preset gradient factors includes the target gradient factor.
In one possible implementation manner, the obtaining module 1001 is further configured to obtain a second parameter set, where the second parameter set includes a driving speed of the vehicle to be managed at each preset time when driving on a second preset distance, and the second preset distance is a distance adjacent to and after the first preset distance. The processing module 1002 is further configured to determine a second energy consumption value of the vehicle to be managed on a second preset distance according to the second parameter set and the second preset distance. The processing module 1002 is further configured to update the target gradient factor according to the second energy consumption value, to obtain an updated target gradient factor, where the updated target gradient factor is used to indicate a steep degree of a path formed by splicing the first preset path and the second preset path. The processing module 1002 is further configured to update the target energy management policy according to the updated target gradient factor and the first preset corresponding relationship, to obtain an updated target energy management policy.
In one possible embodiment, the first predefined distance is a sub-distance of the travel distance to be managed. The processing module 1002 is further configured to determine whether the second preset route is a sub-route in the driving route to be managed. The processing module 1002 is specifically configured to update the target gradient factor according to the second energy consumption value if the second preset route is a sub-route in the travel route to be managed, and obtain the updated target gradient factor.
In a possible implementation, the processing module 1002 is further configured to determine, according to the first parameter set, a first average speed of the vehicle to be managed on the first preset path. The processing module 1002 is further configured to determine a first preset energy consumption value according to a first average speed and a second preset corresponding relation, where the first preset energy consumption value is specifically an energy consumption value of the vehicle to be managed when the vehicle is traveling on the flat road at the first average speed, the second preset corresponding relation is a corresponding relation between a plurality of preset traveling speeds and a plurality of second preset energy consumption values, and the second preset energy consumption value is an energy consumption value of the vehicle to be managed when the vehicle to be managed is traveling on the flat road at the corresponding preset traveling speeds, where the plurality of preset traveling speeds includes the first average speed.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Fig. 11 is a block diagram of an electronic device, according to an example embodiment. As shown in fig. 11, electronic device 1100 includes, but is not limited to: a processor 1101 and a memory 1102.
The memory 1102 is used for storing executable instructions of the processor 1101. It will be appreciated that the processor 1101 described above is configured to execute instructions to implement the method of determining an energy management strategy in the above embodiments.
It should be noted that the electronic device structure shown in fig. 11 is not limited to the electronic device, and the electronic device may include more or less components than those shown in fig. 11, or may combine some components, or may have different arrangements of components, as will be appreciated by those skilled in the art.
The processor 1101 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device and processes data by running or executing software programs and/or modules stored in the memory 1102, and invoking data stored in the memory 1102, thereby performing overall monitoring of the electronic device. The processor 1101 may include one or more processing units. Alternatively, the processor 1101 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 1101.
Memory 1102 may be used to store software programs as well as various data. The memory 1102 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, application programs (such as a determination unit, a processing unit, etc.) required for at least one functional module, and the like. In addition, memory 1102 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
In an exemplary embodiment, a computer readable storage medium is also provided, such as a memory 1102, comprising instructions executable by the processor 1101 of the electronic device 1100 to implement the methods of the embodiments described above.
In actual implementation, the functions of the acquisition module 1001 and the processing module 1002 in fig. 10 may be implemented by the processor 1101 in fig. 11 calling a computer program stored in the memory 1102. For specific implementation, reference may be made to the description of the method in the above embodiment, and details are not repeated here.
Alternatively, the computer readable storage medium may be a non-transitory computer readable storage medium, for example, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
In an exemplary embodiment, the present application further provides a vehicle including the determining device 1000 of the energy management strategy shown in fig. 10. The vehicle may be used to perform the determination method of the energy management strategy in the above-described embodiment.
In an exemplary embodiment, the present application also provides a computer program product comprising one or more instructions executable by the processor 1101 of the electronic device to perform the method of the above-described embodiment.
It should be noted that, when the instructions in the computer readable storage medium or one or more instructions in the computer program product are executed by the processor of the electronic device, the processes of the foregoing method embodiments are implemented, and the technical effects similar to those of the foregoing method can be achieved, so that repetition is avoided, and no further description is provided herein.
From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules, so as to perform all the classification parts or part of the functions described above.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of modules or units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another apparatus, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and the parts shown as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. The purpose of the embodiment scheme can be achieved by selecting part or all of the classification part units according to actual needs.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a readable storage medium. Based on such understanding, the technical solution of the embodiments of the present application may be essentially or partly contributing to the prior art or the whole classification part or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several instructions to cause a device (may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform the whole classification part or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method of determining an energy management strategy, the method comprising:
acquiring a first parameter set, wherein the first parameter set comprises a driving speed of a vehicle to be managed at each preset moment when the vehicle is driven on a first preset path;
determining a first energy consumption value of the vehicle to be managed on the first preset distance according to the first parameter set and the first preset distance;
determining a target gradient factor according to the first energy consumption value and a first preset energy consumption value, wherein the target gradient factor is used for indicating the steep degree of the first preset distance, and the first preset energy consumption value is the energy consumption value of the vehicle to be managed when the vehicle runs on a flat road;
and determining a target energy management strategy according to the target gradient factor and a first preset corresponding relation, wherein the first preset corresponding relation is a corresponding relation between a plurality of preset energy management strategies and a plurality of preset gradient factors, and the plurality of preset gradient factors comprise the target gradient factor.
2. The method according to claim 1, wherein the method further comprises:
acquiring a second parameter set, wherein the second parameter set comprises a driving speed of each preset moment when the vehicle to be managed drives on a second preset path, and the second preset path is a path adjacent to and behind the first preset path;
determining a second energy consumption value of the vehicle to be managed on the second preset distance according to the second parameter set and the second preset distance;
updating the target gradient factor according to the second energy consumption value to obtain an updated target gradient factor, wherein the updated target gradient factor is used for indicating the steepness degree of a path formed by splicing the first preset path and the second preset path;
and updating the target energy management strategy according to the updated target gradient factor and the first preset corresponding relation to obtain the updated target energy management strategy.
3. The method of claim 2, wherein the first preset distance is a sub-distance in a travel distance to be managed, and wherein after the determining the second energy consumption value of the vehicle to be managed on the second preset distance according to the second parameter set and the second preset distance, the method further comprises:
Determining whether the second preset route is a sub-route in the to-be-managed driving route;
the updating the target gradient factor according to the second energy consumption value and the first preset energy consumption value to obtain the updated target gradient factor comprises the following steps:
and if the second preset distance is a sub distance in the driving distance to be managed, updating the target gradient factor according to the second energy consumption value to obtain the updated target gradient factor.
4. A method according to any of claims 1-3, characterized in that after the acquisition of the first parameter set, the method further comprises:
determining a first average speed of the vehicle to be managed in the first preset distance according to the first parameter set;
determining a first preset energy consumption value according to the first average speed and a second preset corresponding relation, wherein the first preset energy consumption value is specifically an energy consumption value of the vehicle to be managed when the flat road runs at the first average speed, the second preset corresponding relation is a corresponding relation between a plurality of preset running speeds and a plurality of second preset energy consumption values, the second preset energy consumption value is an energy consumption value of the vehicle to be managed when the vehicle to be managed runs at the corresponding preset running speeds on the flat road, and the plurality of preset running speeds comprise the first average speed.
5. An apparatus for determining an energy management strategy, the apparatus comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring a first parameter set, and the first parameter set comprises a running speed of a vehicle to be managed at each preset moment when the vehicle runs on a first preset path;
the processing module is used for determining a first energy consumption value of the vehicle to be managed in the first preset distance according to the first parameter set and the first preset distance;
the processing module is further configured to determine a target gradient factor according to the first energy consumption value and a first preset energy consumption value, where the target gradient factor is used to indicate a steep degree of the first preset path, and the first preset energy consumption value is an energy consumption value of the vehicle to be managed when the vehicle runs on a flat road;
the processing module is further configured to determine a target energy management policy according to the target gradient factor and a first preset correspondence, where the first preset correspondence is a correspondence between a plurality of preset energy management policies and a plurality of preset gradient factors, and the plurality of preset gradient factors includes the target gradient factor.
6. The apparatus of claim 5, wherein the device comprises a plurality of sensors,
The acquiring module is further configured to acquire a second parameter set, where the second parameter set includes a driving speed of the vehicle to be managed at each preset time when driving on a second preset path, and the second preset path is a path adjacent to and after the first preset path;
the processing module is further configured to determine a second energy consumption value of the vehicle to be managed on the second preset distance according to the second parameter set and the second preset distance;
the processing module is further configured to update the target gradient factor according to the second energy consumption value, to obtain an updated target gradient factor, where the updated target gradient factor is used to indicate a steep degree of a path formed by splicing the first preset path and the second preset path;
the processing module is further configured to update the target energy management policy according to the updated target gradient factor and the first preset corresponding relationship, so as to obtain the updated target energy management policy.
7. The apparatus of claim 6, wherein the first predetermined route is a sub-route of a travel route to be managed;
The processing module is further configured to determine whether the second preset distance is a sub distance in the driving distance to be managed;
and the processing module is specifically configured to update the target gradient factor according to the second energy consumption value if the second preset distance is a sub distance in the to-be-managed driving distance, so as to obtain the updated target gradient factor.
8. The device according to any one of claims 5 to 7, wherein,
the processing module is further configured to determine a first average speed of the vehicle to be managed on the first preset path according to the first parameter set;
the processing module is further configured to determine a first preset energy consumption value according to the first average speed and a second preset corresponding relation, where the first preset energy consumption value is specifically an energy consumption value of the vehicle to be managed when the vehicle to be managed runs on the flat road at the first average speed, the second preset corresponding relation is a corresponding relation between a plurality of preset running speeds and a plurality of second preset energy consumption values, the second preset energy consumption value is an energy consumption value of the vehicle to be managed when the vehicle to be managed runs on the flat road at the corresponding preset running speeds, and the plurality of preset running speeds include the first average speed.
9. An electronic device, comprising: a processor, a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to implement the method of any one of claims 1 to 4.
10. A computer readable storage medium, characterized in that, when computer-executable instructions stored in the computer readable storage medium are executed by a processor of an electronic device, the electronic device is capable of performing the method of any one of claims 1 to 4.
CN202410111261.4A 2024-01-25 2024-01-25 Method, device, equipment and storage medium for determining energy management strategy Pending CN117719485A (en)

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