Method, device, electronic device and vehicle for determining energy recovery intensity

Abstract

The present application provides a method, device, electronic device and vehicle for determining energy recovery intensity, the method comprising: obtaining road condition information and vehicle information of a target vehicle; determining the driving scene of the target vehicle based on the road condition information and the vehicle information, and the correspondence between the driving scene and the road condition information and the vehicle information; determining the target energy recovery intensity corresponding to the driving scene of the target vehicle according to the correspondence between the driving scene and the target energy recovery intensity. The method provided in the embodiment of the present application improves the energy recovery efficiency, thereby improving the endurance of the electric vehicle.

Description

Technical Field

[0001] The present application relates to the technical field of electric vehicles, and in particular to a method, device, electronic equipment and vehicle for determining energy recovery intensity. Background Art

[0002] With the development of electric technology and the impact of policy promotion, the proportion of electric vehicles in vehicles has gradually increased. Due to users' demand for electric vehicle endurance and increasingly fierce competition in the electric vehicle industry, improving the endurance of electric vehicles has become a goal pursued by technicians.

[0003] Electric vehicles are equipped with batteries that provide energy for the vehicle and motors that drive the vehicle. Due to the structural characteristics of the motor, the motor on the electric vehicle can be used as a generator to charge the battery when the vehicle brakes, which is energy recovery. The efficiency of energy recovery is affected by the energy recovery intensity. Under the same conditions, the higher the energy recovery intensity, the higher the energy recovery efficiency. At present, the energy recovery intensity of electric vehicles is usually set based on the road conditions where the electric vehicle is located.

[0004] However, the current method of setting the energy recovery intensity based on road conditions is rather rough. When different vehicles or the same vehicle in different states use the same energy recovery intensity under the same road conditions, the energy recovery efficiency of the vehicles varies. Therefore, the existing method of setting the energy recovery intensity based on road conditions cannot effectively recover energy. Summary of the invention

[0005] The embodiments of the present application provide a method, device, electronic device and vehicle for determining energy recovery intensity, providing energy recovery intensity based on the road conditions in which the vehicle is located and the vehicle's own information, thereby improving energy recovery efficiency and thus enhancing the endurance of the electric vehicle.

[0006] According to a first aspect of an embodiment of the present application, a method for determining energy recovery intensity is provided, the method comprising:

[0007] Obtaining road condition information and vehicle information of the target vehicle;

[0008] Determine the driving scene of the target vehicle based on the road condition information and the vehicle information, and the corresponding relationship between the driving scene and the road condition information and the vehicle information;

[0009] According to the corresponding relationship between the driving scene and the target energy recovery intensity, the target energy recovery intensity corresponding to the driving scene in which the target vehicle is located is determined.

[0010] In one embodiment, before determining the target energy recovery intensity of the target vehicle according to the road condition information and the vehicle information, the method further includes:

[0011] Obtaining road condition information and vehicle information of multiple vehicles when they are traveling within a preset time;

[0012] generating at least one driving scenario according to road condition information and vehicle information of a plurality of vehicles when the vehicles are driving within a preset time;

[0013] Generate a corresponding relationship between each driving scene and the road condition information and vehicle information.

[0014] In one embodiment, the method further comprises:

[0015] Obtaining the energy recovery intensity and available energy recovery torque of each vehicle in the corresponding driving scenario;

[0016] Determine a target energy recovery intensity corresponding to each driving scenario according to the energy recovery intensity and available energy recovery torque of each vehicle in the corresponding driving scenario;

[0017] The target energy recovery intensity represents the energy recovery intensity with the highest energy recovery efficiency in the corresponding driving scenario of the vehicle;

[0018] Generate a corresponding relationship between each driving scenario and the target energy recovery intensity.

[0019] In one embodiment, according to the energy recovery intensity and available energy recovery torque of each vehicle in the corresponding driving scene, the target energy recovery intensity corresponding to each driving scene is determined respectively, including:

[0020] Calculate the similarity between the vehicles based on the driving information and vehicle information of multiple vehicles within a preset time;

[0021] At least one fleet is generated according to the similarity between the vehicles, and the similarity between the vehicles in each fleet meets a preset condition;

[0022] According to the energy recovery intensity and available energy recovery torque of each vehicle in each fleet in its corresponding driving scenario, the energy recovery intensity corresponding to the maximum energy recovery torque of each fleet in each driving scenario is determined as the target energy recovery intensity corresponding to the corresponding driving scenario.

[0023] In one embodiment, the preset conditions include: the geographical locations included in the routes passed by the vehicles within a preset time period are the same, and the deviation in the vehicle weights between the vehicles does not exceed a preset ratio.

[0024] In one embodiment, according to the energy recovery intensity and available energy recovery torque of each vehicle in the corresponding driving scene, the target energy recovery intensity corresponding to each driving scene is determined respectively, including:

[0025] Determining a first energy recovery intensity among the energy recovery intensities of each driving scene according to the energy recovery intensity and the available energy recovery torque of each vehicle in the corresponding driving scene;

[0026] According to the driving scene and the preset adjustment rules, the first energy recovery intensity of the driving scene is adjusted to obtain the target energy recovery intensity of the driving scene.

[0027] In one embodiment, the road condition information includes geographic location information and / or slope.

[0028] In one embodiment, the vehicle information includes at least one of a vehicle identification, a vehicle weight, a yaw angle, an accelerator pedal opening, or a brake pedal opening.

[0029] In one embodiment, at least one scenario includes at least one of a long uphill with a heavy load, a long downhill with a heavy load, a long uphill with a light load, a long downhill with a light load, a short downhill during a long uphill with a light load, a short uphill during a long downhill with a light load, a short downhill during a long uphill with a heavy load, a short uphill during a long downhill with a heavy load, loading, unloading, a flat road inside the factory, and a flat road outside the factory.

[0030] In one embodiment, the method for determining energy recovery intensity provided in this embodiment further includes: controlling the vehicle to perform energy recovery according to the target energy recovery intensity.

[0031] According to a second aspect of an embodiment of the present application, a device for determining energy recovery intensity is provided, the device comprising:

[0032] An acquisition unit, used for acquiring road condition information and vehicle information of a target vehicle;

[0033] The determination unit is used to determine the driving scene of the target vehicle based on the road condition information and the vehicle information, and the correspondence between the driving scene and the road condition information and the vehicle information; and is also used to determine the target energy recovery intensity corresponding to the driving scene of the target vehicle according to the correspondence between the driving scene and the target energy recovery intensity.

[0034] According to a third aspect of an embodiment of the present application, there is provided an electronic device, the electronic device comprising: a processor and a memory storing computer program instructions;

[0035] When the processor executes the computer program instructions, it implements the method for determining energy recovery intensity as described in any embodiment of the first aspect.

[0036] According to a fourth aspect of an embodiment of the present application, a vehicle is provided, which includes the electronic device provided in the third aspect of the present application.

[0037] The embodiments of the present application provide a method, device, electronic device and vehicle for determining energy recovery intensity, which collect road condition information of the road condition in which the target vehicle is located and the vehicle information of the vehicle itself, determine the driving scene in which the target vehicle is located based on the road condition information of the road condition in which the target vehicle is located and the vehicle information of the vehicle itself, and the correspondence between the driving scene and the road condition information and the vehicle information, and determine the target energy recovery intensity corresponding to the driving scene in which the target vehicle is located according to the correspondence between the driving scene and the target energy recovery intensity. Since the energy recovery efficiency is different when the vehicle is in the same road condition but the vehicle's own conditions are different, when planning the energy recovery intensity for the target vehicle with improving the energy recovery efficiency as the goal, the road condition and the target vehicle's own conditions are comprehensively considered, and the current driving scene is determined by comprehensively considering the road condition and the target vehicle's own conditions. When the target vehicle is driven with the energy recovery intensity set in the driving scene, it is ensured that the target vehicle maintains a high energy recovery efficiency state, which can effectively improve the energy recovery efficiency, thereby improving the endurance of the electric vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0039] Figure 1 A schematic diagram of an implementation scenario for determining strong energy recovery provided in an embodiment of the present application.

[0040] Figure 2 A flow chart of a method for determining energy recovery strength provided in an embodiment of the present application.

[0041] Figure 3 A flowchart of another method for determining energy recovery strength provided in an embodiment of the present application.

[0042] Figure 4 A schematic diagram of the speed and altitude information of a vehicle on a driving route provided in an embodiment of the present application.

[0043] Figure 5 A schematic diagram of multiple driving scenarios on a driving route of a vehicle provided in an embodiment of the present application.

[0044] Figure 6 A flowchart of another method for determining energy recovery strength provided in an embodiment of the present application.

[0045] Figure 7 A schematic diagram of a device for determining energy recovery strength provided in an embodiment of the present application.

[0046] Figure 8 A schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] With the development of electric technology and the influence of policy promotion, the proportion of electric vehicles in vehicles has gradually increased. Due to the user's demand for the endurance of electric vehicles and the increasingly fierce competition in the electric vehicle industry, improving the endurance of electric vehicles is the goal pursued by technicians. Electric vehicles are equipped with batteries that provide energy for the vehicle and motors that drive the vehicle. Moreover, due to the structural characteristics of the motor, the motor on the electric vehicle can be used as a generator to charge the battery when the vehicle brakes, that is, energy recovery. The efficiency of energy recovery is affected by the energy recovery intensity. Under the same conditions, the higher the energy recovery intensity, the higher the energy recovery efficiency. At present, the energy recovery intensity of electric vehicles is usually set based on the road conditions in which the electric vehicle is located. However, the current setting of energy recovery intensity based on road conditions is relatively rough. When different vehicles or the same vehicle in different states are in the same road conditions and use the same energy recovery intensity, the energy recovery efficiency of the vehicle is different. Therefore, the existing method of setting energy recovery intensity based on road conditions cannot effectively recover energy.

[0049] The embodiment of the present application provides a method, device, electronic device and storage medium for determining energy recovery intensity. The road condition information of the road condition where the target vehicle is located and the vehicle information of the vehicle itself are collected, and the driving scene where the target vehicle is located is determined based on the road condition information of the road condition where the target vehicle is located and the vehicle information of the vehicle itself, as well as the correspondence between the driving scene and the road condition information and the vehicle information. According to the correspondence between the driving scene and the target energy recovery intensity, the target energy recovery intensity corresponding to the driving scene where the target vehicle is located is determined. Since the energy recovery efficiency is different when the vehicle is in the same road condition but the vehicle itself is in different conditions, when the energy recovery efficiency is planned for the target vehicle with the improvement of energy recovery efficiency as the goal, the road condition and the target vehicle itself are comprehensively considered, and the current driving scene is determined by comprehensively considering the road condition and the target vehicle itself. When the target vehicle is set to drive with the energy recovery intensity in the driving scene, it is ensured that the target vehicle maintains a high energy recovery efficiency state, which can effectively improve the energy recovery efficiency, thereby improving the endurance of the electric vehicle.

[0050] Exemplary Implementation Environment

[0051] Please refer to Figure 1 , Figure 1 It is a schematic diagram of an implementation environment involved in the present invention.

[0052] The vehicle is a pure electric vehicle or a hybrid vehicle. When driving, the vehicle sends relevant information about the driving process to the cloud platform, such as the road conditions of the vehicle, the vehicle's own information, etc. Based on the information sent by the vehicle, the cloud platform calculates the energy recovery intensity that makes the vehicle's energy recovery efficiency higher, and sends the energy recovery intensity to the vehicle. When the vehicle drives based on the sent energy recovery intensity, it helps to improve the energy recovery efficiency.

[0053] Exemplary Methods

[0054] The method execution subject provided in the embodiment of the present application is a device with data processing function, such as a computer, a server, etc., and it can also be a cloud platform composed of computers, servers and other devices.

[0055] See also Figure 2 In an exemplary embodiment, a method for determining energy recovery intensity is provided, the method may include the following steps:

[0056] S210, obtaining road condition information and vehicle information of the target vehicle.

[0057] When the target vehicle is driving, the vehicle controller of the target vehicle collects information collected by its various sensors and controllers, extracts road condition information and vehicle information from them, and sends the road condition information and vehicle information of the road to the cloud platform, which receives the information.

[0058] The road condition information may include geographic location information (such as Global Positioning System (GPS) information) and / or slope.

[0059] The vehicle information may include at least one of vehicle identification, vehicle weight, yaw angle, accelerator pedal opening, or brake pedal opening.

[0060] The vehicle identifier may be a vehicle identification number (VIN).

[0061] S220, determining the driving scene of the target vehicle based on the road condition information and the vehicle information, and the corresponding relationship between the driving scene and the road condition information and the vehicle information.

[0062] A plurality of driving scenarios are pre-set based on different road condition information and different vehicle information, and a correspondence between the road condition information, the vehicle information and the driving scenarios is pre-set, and a driving scenario corresponding to the correspondence is searched based on the road condition information of the target vehicle and the vehicle information of the target vehicle.

[0063] In one example, when the road condition information includes a long uphill journey and the vehicle information shows that the vehicle weight is heavy, the driving scenario is set as a long and heavy uphill journey. When the road condition information of the target vehicle includes a long uphill journey and the vehicle information includes that the vehicle weight is heavy, the corresponding relationship is searched to determine that the driving scenario of the target vehicle is a long and heavy uphill journey.

[0064] S230, determining a target energy recovery intensity corresponding to the driving scenario in which the target vehicle is located according to a correspondence between the driving scenario and the target energy recovery intensity.

[0065] After long-term collection of energy recovery efficiencies of different vehicles in various driving scenarios and at different energy recovery intensities, the energy recovery intensity with the highest energy recovery efficiency in each driving scenario is used as the target energy recovery intensity of the corresponding driving scenario; then, the corresponding relationship between the driving scenario and the target energy recovery intensity is set. After determining the driving scenario of the target vehicle, the corresponding relationship between the driving scenario and the target energy recovery intensity is found to obtain the target energy recovery intensity corresponding to the driving scenario of the target vehicle.

[0066] Among them, in order to ensure that the driver has a better driving experience and avoid the discomfort caused to the driver by frequent switching of energy recovery intensity, the target energy recovery intensity is kept unchanged in the same driving scenario.

[0067] After determining the target energy recovery intensity, the target energy recovery intensity is sent to the target vehicle. After receiving the target energy recovery intensity, the target vehicle can be controlled to perform energy recovery according to the obtained target energy recovery intensity. Specifically, the current energy recovery intensity can be automatically adjusted to the target energy recovery intensity, or the target energy recovery intensity can be displayed to the driver, suggesting that the driver adjust the current energy recovery intensity to the target energy recovery intensity.

[0068] The method provided in the embodiment of the present application collects road condition information of the road condition in which the target vehicle is located and the vehicle information of the vehicle itself, determines the driving scene in which the target vehicle is located based on the road condition information of the road condition in which the target vehicle is located and the vehicle information of the vehicle itself, and the correspondence between the driving scene and the road condition information and the vehicle information, determines the target energy recovery intensity corresponding to the driving scene in which the target vehicle is located according to the correspondence between the driving scene and the target energy recovery intensity, because the energy recovery efficiency is different when the vehicle is in the same road condition but the vehicle itself is in different conditions, when planning the energy recovery intensity for the target vehicle with improving the energy recovery efficiency as the goal, the road condition and the target vehicle itself are comprehensively considered, the current driving scene is determined by comprehensively considering the road condition and the target vehicle itself, and when the target vehicle is driven with the energy recovery intensity set in the driving scene, it is ensured that the target vehicle maintains a high energy recovery efficiency state, which can effectively improve the energy recovery efficiency, thereby improving the endurance of the electric vehicle.

[0069] In one embodiment, Figure 3 As shown, S220: before determining the driving scene of the target vehicle based on the road condition information and the vehicle information, and the corresponding relationship between the driving scene and the road condition information and the vehicle information, the method for determining the energy recovery intensity may further include the following steps:

[0070] S240, obtaining road condition information and vehicle information of multiple vehicles when they are traveling within a preset time.

[0071] The road condition information and vehicle information of multiple vehicles are collected in advance within a preset time.

[0072] Based on the road condition information of multiple vehicles in the pre-selected geographical area, the route in the pre-selected geographical area can be divided into multiple sections, for example, a section of the route is divided into a long uphill section, a long downhill section, a flat road section and a short uphill section, etc. If the geographical area includes a construction site, the route can also be divided into an in-plant section and an out-plant section, where the in-plant section refers to the section inside the construction site and the out-plant section refers to the section outside the construction site, and can be further divided into a loading section and an unloading section, etc.

[0073] S250, generating at least one driving scenario according to the road condition information and vehicle information of a plurality of vehicles when they are driving within a preset time.

[0074] Routes within a certain geographical area are divided into at least one driving scenario by combining road condition information and vehicle information of multiple vehicles within a preset time.

[0075] The pre-selected geographical area may be divided into a plurality of driving scenarios in combination with the road segments divided in the pre-selected geographical area and the vehicle information.

[0076] In one example, if the road condition information includes a long uphill journey and the vehicle weight in the vehicle information is heavy, the driving scene is divided into a heavy-loaded long uphill scene. If the geographical location information included in the road condition information indicates entering the inside of the mining site from the outside of the mining site, and the weight of the vehicle gradually increases after entering the mining site, the driving scene is divided into a loading scene.

[0077] In one example, at least one generated driving scenario may include at least one of a long uphill with a heavy load, a long downhill with a heavy load, a long uphill with a light load, a long downhill with a light load, a short downhill during a long uphill with a light load, a short uphill during a long downhill with a light load, a short downhill during a long uphill with a heavy load, a short uphill during a long downhill with a heavy load, loading, unloading, a flat road inside the factory, and a flat road outside the factory.

[0078] In one example, the speed and altitude information of a vehicle on a driving route is as follows: Figure 4 As shown in the figure, the horizontal axis is the distance of the vehicle, the left vertical axis is the altitude, and the right vertical axis is the vehicle speed. Based on the altitude information, the slope in the road condition information can be determined. Combined with the vehicle weight, the driving route can be divided into multiple driving scenarios, such as Figure 5 As shown, the horizontal axis is the distance of the vehicle, the vertical axis on the left is the altitude, and the vertical axis on the right is the vehicle speed. The driving scenarios include scenario 1: loading, scenario 2: heavy-loaded downhill, scenario 3: heavy-loaded uphill, scenario 4: short downhill during a long uphill process with heavy load; scenario 6: flat road inside the factory, scenario 7: flat road outside the factory, and scenario 8: unloading.

[0079] S260: Generate a correspondence between each driving scenario and the road condition information and vehicle information.

[0080] Based on the road condition information and vehicle information used to generate the driving scene, a correspondence between the driving scene and the road condition information and the vehicle information is generated.

[0081] In one example, the road condition information corresponding to the heavy-load long uphill scenario includes a long uphill distance, and the vehicle information includes that the vehicle weight is heavy. The road condition information corresponding to the loading scenario includes the geographic location information indicating that the vehicle enters the mining site from the outside, and the vehicle information includes that the vehicle weight gradually increases after entering the mining site.

[0082] The method provided in the embodiment of the present application divides multiple driving scenarios based on road condition information and vehicle information of multiple vehicles, and generates a correspondence between each driving scenario and the road condition information and vehicle information, which can provide a basis for determining the driving scenario for the target vehicle.

[0083] In one embodiment, Figure 3 As shown, the method for determining the energy recovery intensity may further include the following steps:

[0084] S270, obtaining the energy recovery intensity and available energy recovery torque of each vehicle in the corresponding driving scenario.

[0085] At S240: while acquiring the road condition information of multiple vehicles within a preset time and the vehicle information of multiple vehicles, the energy recovery intensity and the available energy recovery torque of each vehicle can be acquired. At S250: after generating at least one driving scenario based on the road condition information and the vehicle information of multiple vehicles within a preset time, the energy recovery intensity of each vehicle in each driving scenario is extracted from the energy recovery intensity of each vehicle based on the driving scenario.

[0086] S280: Determine a target energy recovery intensity corresponding to each driving scenario according to the energy recovery intensity and available energy recovery torque of each vehicle in the corresponding driving scenario.

[0087] Among them, the target energy recovery intensity represents the energy recovery intensity with the highest energy recovery efficiency of the vehicle in the corresponding driving scenario.

[0088] Since energy recovery intensity = energy recovery torque / available energy recovery torque, the greater the energy recovery torque of the vehicle, the higher the energy recovery efficiency. For each driving scenario, the energy recovery torque of each vehicle in each driving scenario is calculated at least based on the energy recovery intensity and available energy recovery torque of each vehicle in each driving scenario, and the highest energy recovery torque is selected from the energy recovery torques of multiple vehicles in the same driving scenario, and the energy recovery intensity of the vehicle at the highest energy recovery torque is used as the target energy recovery intensity of the vehicle in the corresponding driving scenario.

[0089] S290: Generate a corresponding relationship between each driving scenario and the target energy recovery intensity.

[0090] A correspondence between each driving scenario and a target energy recovery intensity under each driving scenario is generated, and the correspondence is stored.

[0091] In one embodiment, after generating the correspondence between each driving scenario and the target energy recovery intensity, the road condition information of at least one vehicle and the vehicle information, energy recovery intensity and available energy recovery torque of the vehicle can be continuously collected, and the driving scenario through which the vehicle passes can be determined based on the continuously collected road condition information and vehicle information of the vehicle, and the energy recovery intensity of each vehicle in each driving scenario can be extracted from the energy recovery intensity of each vehicle based on the driving scenario, and for each driving scenario, the energy recovery torque of each vehicle in each driving scenario can be calculated at least based on the energy recovery intensity and available energy recovery torque of each vehicle in each driving scenario, and the highest energy recovery torque can be selected from the energy recovery torques of multiple vehicles in the same driving scenario, and the energy recovery torque can be compared with the target energy recovery torque corresponding to the same driving scenario, and the larger energy recovery torque can be used as the target energy recovery of the vehicle in the corresponding driving scenario, thereby optimizing the target energy recovery intensity corresponding to each driving scenario and further improving the energy recovery efficiency of the vehicle.

[0092] The method provided in the embodiment of the present application generates a corresponding relationship between each driving scenario and the target energy recovery intensity, and the target energy recovery intensity under each driving scenario is the energy recovery intensity with the highest energy recovery efficiency in the corresponding scenario. Therefore, when the target vehicle travels at the target energy recovery intensity corresponding to the driving scenario, it can always maintain a high energy recovery efficiency state, thereby effectively improving the energy recovery efficiency of the target vehicle and enhancing the endurance of the target vehicle.

[0093] In one embodiment, Figure 6 As shown, S280: determining a target energy recovery intensity in the energy recovery intensity of each driving scene according to at least the energy recovery intensity and the available energy recovery torque of each vehicle in each driving scene may include the following steps:

[0094] S281, calculating the similarity between the vehicles based on the driving information and vehicle information of the multiple vehicles within a preset time.

[0095] When these multiple vehicles are engineering vehicles, since engineering vehicles have large differences in load capacity and have fixed driving routes in the same project (such as a mining project), a geographical area including the construction range of the engineering vehicles can be pre-selected, and the similarity between the vehicles can be calculated based on the road condition information of the multiple vehicles in the geographical area when they are driving within a preset time and the vehicle information of the multiple vehicles.

[0096] In one embodiment, based on the similarity of geographical locations included in the routes passed by multiple vehicles in the geographical area within a preset time, and / or the similarity of the vehicle weights, the similarity between the vehicles is calculated based on the similarity of geographical locations included in the routes passed and / or the similarity of the vehicle weights.

[0097] S282, generating at least one fleet according to the similarity between the vehicles, wherein the similarity between the vehicles in each fleet meets a preset condition.

[0098] Multiple vehicles whose similarities meet preset conditions are divided into the same fleet to obtain at least one fleet.

[0099] In one example, the preset condition is that within a preset period of time (such as a week), the routes passed by the vehicles include the same geographical locations, and the deviation of the vehicle weight does not exceed a preset ratio, such as 15%. In this case, multiple vehicles whose routes include the same geographical locations and whose vehicle weights differ by no more than 15% will be classified into the same fleet.

[0100] In one embodiment, if a vehicle among the multiple vehicles deviates from the previous driving route for multiple consecutive days (such as three consecutive days), the vehicle is removed from the fleet and re-assigned to another fleet.

[0101] In one embodiment, a technician may manually add a vehicle to a fleet, for example, adding transport vehicles for the same engineering project to the same fleet.

[0102] S283, based on the energy recovery intensity and available energy recovery torque of each vehicle in each fleet in its corresponding driving scenario, determine the energy recovery intensity corresponding to the maximum energy recovery torque of each fleet in each driving scenario as the target energy recovery intensity corresponding to the corresponding driving scenario.

[0103] For each driving scenario passed by vehicles in each fleet, the energy recovery torque of each vehicle in each driving scenario is calculated based on at least the energy recovery intensity and the available energy recovery torque of each vehicle in each driving scenario, the highest energy recovery torque is selected from the energy recovery torques of multiple vehicles in the same driving scenario, and the energy recovery intensity of the vehicle at the highest energy recovery torque is used as the target energy recovery intensity of the vehicle in the corresponding driving scenario.

[0104] The method provided in the embodiment of the present application divides vehicles with high similarity into the same fleet. The road condition information and vehicle information of the vehicles in each fleet are similar when they are driving, and the energy recovery intensity and available energy recovery torque of each fleet are fully utilized. When driving at the target energy recovery intensity, not only the energy recovery efficiency can be improved, but it also complies with the driver's operating habits and improves the driver's driving comfort.

[0105] In one embodiment, S280: determining a target energy recovery intensity corresponding to each driving scenario based at least on the energy recovery intensity and available energy recovery torque of each vehicle in each driving scenario may include the following steps:

[0106] S284: Determine a first energy recovery intensity among the energy recovery intensities of each driving scene according to the energy recovery intensity and the available energy recovery torque of each vehicle in the corresponding driving scene.

[0107] For each driving scenario, the energy recovery torque of each vehicle in each driving scenario is calculated at least based on the energy recovery intensity and the available energy recovery torque of each vehicle in each driving scenario, and the highest energy recovery torque is selected from the energy recovery torques of multiple vehicles in the same driving scenario, and the energy recovery intensity of the vehicle at the highest energy recovery torque is used as the first energy recovery intensity of the vehicle in the corresponding driving scenario.

[0108] S285, adjusting the first energy recovery intensity of the driving scene according to the driving scene and the preset adjustment rule to obtain the target energy recovery intensity of the driving scene.

[0109] In order to improve the driving comfort of the driver, adjustment rules are pre-set for each driving scenario. After the first energy recovery intensity is calculated, the first energy recovery intensity of the driving scenario is adjusted according to the driving scenario and the corresponding preset adjustment rules of the driving scenario to obtain the target energy recovery intensity of the driving scenario.

[0110] In one example, for a short downhill driving scenario with a heavy load and a long uphill process, the preset adjustment rule is to use the energy recovery intensity obtained by reducing the first energy recovery intensity by 10% as the target energy recovery intensity for the short downhill driving scenario with a heavy load and a long uphill process.

[0111] The method provided in the embodiment of the present application uses the energy recovery intensity of the vehicle at the highest energy recovery torque as the first energy recovery intensity of the vehicle in the corresponding driving scenario, and then makes adjustments based on the first energy recovery intensity to improve the driving comfort of the driver.

[0112] Exemplary Devices

[0113] Accordingly, the embodiment of the present application also provides a device for determining energy recovery intensity, which can be applied to a cloud platform. Figure 7 As shown, the device 700 for determining energy recovery intensity may include an acquisition unit 710 and a determination unit 720 .

[0114] The acquisition unit 710 is used to acquire road condition information and vehicle information of the target vehicle.

[0115] In one embodiment, the road condition information includes geographic location information and / or slope.

[0116] In one embodiment, the vehicle information includes at least one of a vehicle identification, a vehicle weight, a yaw angle, an accelerator pedal opening, or a brake pedal opening.

[0117] The determination unit 720 is used to determine the driving scene of the target vehicle based on the road condition information and the vehicle information, and the correspondence between the driving scene and the road condition information and the vehicle information; and is also used to determine the target energy recovery intensity corresponding to the driving scene of the target vehicle according to the correspondence between the driving scene and the target energy recovery intensity.

[0118] The device for determining the energy recovery intensity provided in the embodiment of the present application collects the road condition information of the road condition in which the target vehicle is located and the vehicle information of the vehicle itself, and determines the driving scene in which the target vehicle is located based on the road condition information of the road condition in which the target vehicle is located and the vehicle information of the vehicle itself, as well as the correspondence between the driving scene and the road condition information and the vehicle information. According to the correspondence between the driving scene and the target energy recovery intensity, the target energy recovery intensity corresponding to the driving scene in which the target vehicle is located is determined. Since the energy recovery efficiency is different when the vehicles are in the same road condition but different vehicle conditions, when planning the energy recovery intensity for the target vehicle with improving the energy recovery efficiency as the goal, the road condition and the target vehicle's own condition are comprehensively considered. The current driving scene is determined by comprehensively considering the road condition and the target vehicle's own condition. When the target vehicle is driven with the energy recovery intensity set in the driving scene, it is ensured that the target vehicle maintains a high energy recovery efficiency state, which can effectively improve the energy recovery efficiency, thereby improving the endurance of the electric vehicle.

[0119] In one embodiment, the acquisition unit 710 may also be used to acquire road condition information and vehicle information of multiple vehicles within a preset time.

[0120] The apparatus 700 for determining energy recovery intensity may further include a generating unit 730 .

[0121] The generating unit 730 is used to generate at least one driving scenario according to the road condition information and vehicle information of multiple vehicles within a preset time; and is also used to generate a corresponding relationship between each driving scenario and the road condition information and vehicle information.

[0122] In one embodiment, at least one scenario includes at least one of a long uphill with a heavy load, a long downhill with a heavy load, a long uphill with a light load, a long downhill with a light load, a short downhill during a long uphill with a light load, a short uphill during a long downhill with a light load, a short downhill during a long uphill with a heavy load, a short uphill during a long downhill with a heavy load, loading, unloading, a flat road inside the factory, and a flat road outside the factory.

[0123] The device provided in the embodiment of the present application divides multiple driving scenes based on road condition information and vehicle information of multiple vehicles, and generates a correspondence between each driving scene and the road condition information and vehicle information, which can provide a basis for determining the driving scene for the target vehicle.

[0124] In one embodiment, the acquisition unit 710 may also be used to acquire the energy recovery intensity and available energy recovery torque of each vehicle in the corresponding driving scenario.

[0125] The determination unit 720 may also be used to determine a target energy recovery intensity corresponding to each driving scenario according to the energy recovery intensity and the available energy recovery torque of each vehicle in the corresponding driving scenario;

[0126] Among them, the target energy recovery intensity represents the energy recovery intensity with the highest energy recovery efficiency of the vehicle in the corresponding driving scenario.

[0127] The apparatus 700 for determining energy recovery intensity may further include a generating unit 730 .

[0128] The generating unit 730 is used to generate a corresponding relationship between each driving scenario and the target energy recovery intensity.

[0129] The device provided in the embodiment of the present application generates a corresponding relationship between each driving scenario and the target energy recovery intensity, and the target energy recovery intensity under each driving scenario is the energy recovery intensity with the highest energy recovery efficiency in the corresponding scenario. Therefore, when the target vehicle travels at the target energy recovery intensity corresponding to the driving scenario, it can always maintain a high energy recovery efficiency state, thereby effectively improving the energy recovery efficiency of the target vehicle and enhancing the endurance of the target vehicle.

[0130] In one embodiment, the determining unit 720 may be specifically configured to:

[0131] Calculate the similarity between the vehicles based on the driving information and vehicle information of multiple vehicles within a preset time;

[0132] At least one fleet is generated according to the similarity between the vehicles, and the similarity between the vehicles in each fleet meets a preset condition;

[0133] According to the energy recovery intensity and available energy recovery torque of each vehicle in each fleet in its corresponding driving scenario, the energy recovery intensity corresponding to the maximum energy recovery torque of each fleet in each driving scenario is determined as the target energy recovery intensity corresponding to the corresponding driving scenario.

[0134] Generate a corresponding relationship between each driving scenario and the target energy recovery intensity.

[0135] The device provided in the embodiment of the present application generates a corresponding relationship between each driving scenario and the target energy recovery intensity, and the target energy recovery intensity under each driving scenario is the energy recovery intensity with the highest energy recovery efficiency in the corresponding scenario. Therefore, when the target vehicle travels at the target energy recovery intensity corresponding to the driving scenario, it can always maintain a high energy recovery efficiency state, thereby effectively improving the energy recovery efficiency of the target vehicle and enhancing the endurance of the target vehicle.

[0136] In one embodiment, the determining unit 720 may be specifically configured to:

[0137] Determining a first energy recovery intensity in the energy recovery intensity of each driving scene according to the energy recovery intensity and the available energy recovery torque of each vehicle in the corresponding driving scene;

[0138] According to the driving scene and the preset adjustment rules, the first energy recovery intensity of the driving scene is adjusted to obtain the target energy recovery intensity of the driving scene.

[0139] The method provided in the embodiment of the present application uses the energy recovery intensity of the vehicle at the highest energy recovery torque as the first energy recovery intensity of the vehicle in the corresponding driving scenario, and then makes adjustments based on the first energy recovery intensity to improve the driving comfort of the driver.

[0140] The device for determining energy recovery intensity provided in this embodiment belongs to the same application concept as the method for determining energy recovery intensity provided in the above embodiments of this application, and can execute the method for determining energy recovery intensity provided in any of the above embodiments of this application, and has the corresponding functional modules and beneficial effects of executing the method for determining energy recovery intensity. For technical details not fully described in this embodiment, please refer to the specific processing content of the method for determining energy recovery intensity provided in the above embodiments of this application, which will not be repeated here.

[0141] Exemplary Electronic Devices

[0142] Another embodiment of the present application also provides an electronic device, see Figure 8 As shown, the device includes:

[0143] Memory 800 and processor 810;

[0144] The memory 800 is connected to the processor 810 and is used to store programs;

[0145] The processor 810 is used to implement the method for determining energy recovery intensity disclosed in any of the above embodiments by running the program stored in the memory 800.

[0146] Specifically, the electronic device may further include: a bus, a communication interface 820 , an input device 830 and an output device 840 .

[0147] The processor 810, the memory 800, the communication interface 820, the input device 830 and the output device 840 are connected to each other via a bus.

[0148] A bus may include a pathway that transfers information between components of a computer system.

[0149] The processor 810 may be a general-purpose processor, such as a general-purpose central processing unit (CPU), a microprocessor, etc., or an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of the program of the scheme of the present invention. It may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0150] The processor 810 may include a main processor, and may also include a baseband chip, a modem, and the like.

[0151] The memory 800 stores a program for executing the technical solution of the present invention, and may also store an operating system and other key services. Specifically, the program may include a program code, and the program code includes a computer operation instruction. More specifically, the memory 800 may include a read-only memory (ROM), other types of static storage devices that can store static information and instructions, a random access memory (RAM), other types of dynamic storage devices that can store information and instructions, a disk storage, a flash, and the like.

[0152] The input device 830 may include a device for receiving data and information input by a user, such as a keyboard, a mouse, a voice input device, a touch screen, etc.

[0153] Output device 840 may include devices that allow information to be output to a user, such as a display screen, printer, speaker, etc.

[0154] The communication interface 820 may include any transceiver or the like to communicate with other devices or communication networks, such as Ethernet, a radio access network (RAN), a wireless local area network (WLAN), etc.

[0155] The processor 810 executes the program stored in the memory 800 and calls other devices, which can be used to implement each step of any method for determining energy recovery intensity provided in the above embodiments of the present application.

[0156] It should be noted that, in practical applications, the electronic device provided in the above embodiments may be a controller with communication and data processing capabilities installed in a vehicle, for example, a vehicle networking device (Telematics BOX, T-BOX). Of course, other vehicle-mounted control devices may also be used, which are not listed here one by one. Without exceeding the scope of the core idea of ​​the present invention, they also fall within the scope of protection of the present invention.

[0157] Optionally, an embodiment of the present invention further provides a vehicle, which includes the electronic device provided by any of the aforementioned embodiments, thereby being able to implement the method for determining the energy recovery intensity provided by each embodiment of the present invention. As for other systems or components constituting the vehicle, such as a power system, a transmission system, etc., they can all be implemented with reference to relevant technologies, and the present invention does not limit this.

[0158] Exemplary computer program products and storage media

[0159] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the method for determining energy recovery intensity according to various embodiments of the present application described in the above-mentioned "Exemplary Method" section of this specification.

[0160] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0161] In addition, an embodiment of the present application may also be a storage medium on which a computer program is stored, and the computer program is executed by a processor to execute the steps of the method for determining energy recovery intensity according to various embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0162] For the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0163] It should be noted that each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0164] The steps in the methods of each embodiment of the present application can be adjusted in order, combined and deleted according to actual needs, and the technical features recorded in each embodiment can be replaced or combined.

[0165] The modules and sub-modules in the devices and terminals of the various embodiments of the present application can be combined, divided and deleted according to actual needs.

[0166] In the several embodiments provided in the present application, it should be understood that the disclosed terminals, devices and methods can be implemented in other ways. For example, the terminal embodiments described above are only schematic, for example, the division of modules or submodules is only a logical function division, and there may be other division methods in actual implementation, for example, multiple submodules or modules can be combined or integrated into another module, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0167] The modules or submodules described as separate components may or may not be physically separated, and the components of the modules or submodules may or may not be physical modules or submodules, that is, they may be located in one place, or they may be distributed on multiple network modules or submodules. Some or all of the modules or submodules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0168] In addition, each functional module or submodule in each embodiment of the present application may be integrated into one processing module, or each module or submodule may exist physically separately, or two or more modules or submodules may be integrated into one module. The above-mentioned integrated modules or submodules may be implemented in the form of hardware or in the form of software functional modules or submodules.

[0169] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0170] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly by hardware, software units executed by a processor, or a combination of the two. The software units may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0171] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0172] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for determining energy recovery intensity, characterized in that: The method comprises: Obtaining road condition information and vehicle information of the target vehicle; Determine the driving scene of the target vehicle based on the road condition information and the vehicle information, and the corresponding relationship between the driving scene and the road condition information and the vehicle information; Determining the target energy recovery intensity corresponding to the driving scene in which the target vehicle is located according to the corresponding relationship between the driving scene and the target energy recovery intensity; Obtaining the energy recovery intensity and available energy recovery torque of each vehicle in the corresponding driving scenario; Determining the target energy recovery intensity corresponding to each driving scenario respectively according to the energy recovery intensity and the available energy recovery torque of each vehicle in the corresponding driving scenario; The target energy recovery intensity represents the energy recovery intensity with the highest energy recovery efficiency of the vehicle in the corresponding driving scenario; Generate a corresponding relationship between each driving scenario and the target energy recovery intensity; According to the energy recovery intensity and the available energy recovery torque of each vehicle in the corresponding driving scene, a target energy recovery intensity corresponding to each driving scene is determined respectively, including: Calculate the similarity between the vehicles based on the driving information and vehicle information of multiple vehicles within a preset time; Generating at least one fleet according to the similarities between the vehicles, wherein the similarities between the vehicles in each fleet meet a preset condition; According to the energy recovery intensity and available energy recovery torque of each vehicle in each fleet in its corresponding driving scenario, the energy recovery intensity corresponding to the maximum energy recovery torque of each fleet in each driving scenario is determined as the target energy recovery intensity corresponding to the corresponding driving scenario.

2. The method according to claim 1, characterized in that Before determining the driving scene of the target vehicle based on the road condition information and the vehicle information, and the corresponding relationship between the driving scene and the road condition information and the vehicle information, the method further includes: Obtaining road condition information and vehicle information of multiple vehicles when they are traveling within a preset time; generating at least one driving scenario according to the road condition information and vehicle information of the plurality of vehicles when they are driving within a preset time; Generate a corresponding relationship between each driving scene and the road condition information and vehicle information.

3. The method according to claim 1, characterized in that: The preset conditions include: the geographical locations included in the routes passed by the vehicles within a preset time period are the same, and the vehicle weight deviation between the vehicles does not exceed a preset ratio.

4. The method according to claim 1, characterized in that: According to the energy recovery intensity and available energy recovery torque of each vehicle in the corresponding driving scene, a target energy recovery intensity corresponding to each driving scene is determined respectively, including: Determining a first energy recovery intensity in the energy recovery intensity of each driving scene according to the energy recovery intensity and the available energy recovery torque of each vehicle in the corresponding driving scene; According to the driving scene and the preset adjustment rules, the first energy recovery intensity of the driving scene is adjusted to obtain the target energy recovery intensity of the driving scene.

5. The method according to claim 1, characterized in that The road condition information includes geographical location information and / or slope.

6. The method according to claim 1, characterized in that The vehicle information includes at least one of a vehicle identification, a vehicle weight, a yaw angle, an accelerator pedal opening, or a brake pedal opening.

7. The method according to claim 2, characterized in that The at least one driving scenario includes at least one of a long uphill with a heavy load, a long downhill with a heavy load, a long uphill with a light load, a long downhill with a light load, a short downhill during a long uphill with a light load, a short uphill during a long downhill with a light load, a short downhill during a long uphill with a heavy load, a short uphill during a long downhill with a heavy load, loading, unloading, a flat road inside the factory, and a flat road outside the factory.

8. The method according to any one of claims 1 to 7, characterized in that: Also includes: The vehicle is controlled to perform energy recovery according to the target energy recovery intensity.

9. A device for determining energy recovery intensity, characterized in that: The device comprises: An acquisition unit, used for acquiring road condition information and vehicle information of a target vehicle; A determination unit, configured to determine the driving scene of the target vehicle based on the road condition information and the vehicle information, and the corresponding relationship between the driving scene and the road condition information and the vehicle information; and further configured to determine the target energy recovery intensity corresponding to the driving scene of the target vehicle according to the corresponding relationship between the driving scene and the target energy recovery intensity; The acquisition unit is further used to acquire the energy recovery intensity and available energy recovery torque of each vehicle in the corresponding driving scene; The determination unit is further used to determine the target energy recovery intensity corresponding to each driving scenario according to the energy recovery intensity and the available energy recovery torque of each vehicle in the corresponding driving scenario; The target energy recovery intensity represents the energy recovery intensity with the highest energy recovery efficiency of the vehicle in the corresponding driving scenario; The device for determining the energy recovery intensity further includes a generating unit, which is used to generate a corresponding relationship between each driving scenario and the target energy recovery intensity; The determining unit is specifically configured to: Calculate the similarity between the vehicles based on the driving information and vehicle information of multiple vehicles within a preset time; At least one fleet is generated according to the similarity between the vehicles, and the similarity between the vehicles in each fleet meets a preset condition; According to the energy recovery intensity and available energy recovery torque of each vehicle in each fleet in its corresponding driving scenario, the energy recovery intensity corresponding to the maximum energy recovery torque of each fleet in each driving scenario is determined as the target energy recovery intensity corresponding to the corresponding driving scenario.

10. An electronic device, characterized in that: include: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, the method for determining energy recovery intensity as described in any one of claims 1-8 is implemented.

11. A vehicle, characterized in that: Comprising the electronic device as claimed in claim 10.

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