Hybrid vehicle control method, device, electronic device and storage medium

Abstract

The present application provides a control method, device, electronic device and storage medium for a hybrid vehicle. The method includes: obtaining traffic information of the current trip, and dividing the current trip into multiple sections according to the traffic information; obtaining the remaining power and remaining fuel of the hybrid vehicle, and obtaining the average energy consumption of the hybrid vehicle at various speeds in various combined modes; determining the combined mode and speed adopted by the hybrid vehicle in each section according to the remaining power, remaining fuel, section information of each section, and the average energy consumption of the hybrid vehicle at various speeds in various combined modes; and controlling the hybrid vehicle to complete the current trip according to the combined mode and speed adopted by the hybrid vehicle in each section. By adopting the above technical means, the problem in the prior art that it is impossible to comprehensively consider various factors to match a suitable combined mode and speed for the hybrid vehicle is solved.

Description

Technical Field

[0001] This application relates to the technical field of automotive technologies, and particularly to a control method, device, electronic device, and storage medium for a hybrid vehicle. Background Art

[0002] Autopilot technology not only liberates drivers from boring driving work but also improves driving safety and comfort. Autopilot has become an inevitable trend in the development of automotive technologies. For hybrid vehicles, they have two energy supply methods and multiple driving modes. The pairwise combinations of different driving modes and energy supply methods can be regarded as combined modes. The energy consumption of different combined modes is different. If speed control and different traffic information are added, the energy consumption calculation becomes even more complex. How to recommend suitable combined modes and speeds for hybrid vehicles in autopilot while meeting the energy supply is a hot research direction, but the effect is not ideal. Summary of the Invention

[0003] In view of this, embodiments of this application provide a control method, device, electronic device, and storage medium for a hybrid vehicle to solve the problem in the prior art that it is impossible to comprehensively consider various factors to match a suitable combined mode and speed for a hybrid vehicle.

[0004] In the first aspect of the embodiments of this application, a control method for a hybrid vehicle is provided, including: obtaining traffic information of the current trip, dividing the current trip into multiple sections according to the traffic information to obtain section information of each section, where the traffic information includes the distribution of vehicles, pedestrians, and obstacles, and the number of vehicles, pedestrians, and obstacles distributed in each section is different, and the traffic information is composed of the section information of each section; obtaining the remaining battery power and remaining fuel of the hybrid vehicle, and obtaining the average energy consumption of the hybrid vehicle at various speeds in various combined modes, where the combined mode includes a driving mode and an energy supply mode; determining the combined mode and speed adopted by the hybrid vehicle in each section according to the remaining battery power, remaining fuel, section information of each section, and the average energy consumption of the hybrid vehicle at various speeds in various combined modes; and controlling the hybrid vehicle to complete the current trip according to the combined mode and speed adopted by the hybrid vehicle in each section.

[0005] In a second aspect of the embodiments of the present application, a hybrid vehicle control device is provided, including: a first acquisition module configured to acquire traffic information of the current trip, divide the current trip into multiple road segments according to the traffic information to obtain road segment information of each road segment, where the traffic information includes the distribution of vehicles, pedestrians, and obstacles, and the number of vehicles, pedestrians, and obstacles distributed in each road segment is different, and the traffic information is composed of the road segment information of each road segment; a second acquisition module configured to acquire the remaining power and remaining fuel of the hybrid vehicle, and acquire the average energy consumption of the hybrid vehicle at various speeds in various combination modes, where the combination modes include driving modes and power supply modes; a determination module configured to determine the combination mode and speed adopted by the hybrid vehicle in each road segment according to the remaining power, remaining fuel, the road segment information of each road segment, and the average energy consumption of the hybrid vehicle at various speeds in various combination modes; and a control module configured to control the hybrid vehicle to complete the current trip according to the combination mode and speed adopted by the hybrid vehicle in each road segment.

[0006] In a third aspect of the embodiments of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps of the above method are implemented.

[0007] In a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, and the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of the above claims are implemented.

[0008] The beneficial effects of the embodiments of the present application compared with the prior art at least include: By dividing the current trip into multiple road segments according to the traffic information to obtain the road segment information of each road segment, and determining the combination mode and speed adopted by the hybrid vehicle in each road segment according to the remaining power, remaining fuel, the road segment information of each road segment, and the average energy consumption of the hybrid vehicle at various speeds in various combination modes, therefore, by adopting the above technical means, the problem in the prior art that it is impossible to comprehensively consider various factors to match a suitable combination mode and speed for the hybrid vehicle can be solved, the applicability of the recommended combination mode and speed can be improved, and the user driving experience and satisfaction can be enhanced. Description of the Drawings

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0010] Figure 1It is a schematic flowchart of a hybrid vehicle control method provided by an embodiment of the present application;

[0011] Figure 2 It is a schematic flowchart of another hybrid vehicle control method provided by an embodiment of the present application;

[0012] Figure 3 It is a schematic structural diagram of a hybrid vehicle control device provided by an embodiment of the present application;

[0013] Figure 4 It is a schematic structural diagram of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0014] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0015] Figure 1 It is a schematic flowchart of a hybrid vehicle control method provided by an embodiment of the present application. Figure 1 The hybrid vehicle control method can be executed by a computer or a server, or a processor set on the computer or the server, or software on a computer or a general server. The hybrid vehicle control method includes:

[0016] S101, obtaining the traffic information of the current trip, dividing the current trip into multiple road segments according to the traffic information to obtain the road segment information of each road segment. Among them, the traffic information includes the distribution of vehicles, pedestrians, and obstacles. The number of vehicles, pedestrians, and obstacles distributed in each road segment is different, and the traffic information is composed of the road segment information of each road segment;

[0017] S102, obtaining the remaining power and remaining fuel of the hybrid vehicle, and obtaining the average energy consumption of the hybrid vehicle in various speed conditions when adopting various combination modes. Among them, the combination modes include driving modes and energy supply modes;

[0018] S103, determining the combination mode and speed adopted by the hybrid vehicle in each road segment according to the remaining power, remaining fuel, the road segment information of each road segment, and the average energy consumption of the hybrid vehicle in various speed conditions when adopting various combination modes;

[0019] S104, controlling the hybrid vehicle to complete the current trip according to the combination mode and speed adopted by the hybrid vehicle in each road segment.

[0020] Specifically: The distributions of vehicles, pedestrians, and obstacles include the positions of vehicles, pedestrians, and obstacles and the quantities at each position. According to the differences in the distributions of vehicles, pedestrians, and obstacles during this trip, this trip can be divided into multiple sections. The distributions of vehicles, pedestrians, and obstacles in each section are the section information of each section, and the combination of the section information of all sections is the traffic information. The remaining battery power and remaining fuel are the battery power and fuel of the hybrid vehicle at the current moment. The driving modes include a sport mode, a comfort mode, and an energy-saving mode. The power supply modes include electric drive and fuel drive. The combined mode is composed of the driving mode and the power supply mode, so there are a total of six combined modes. Considering comprehensively the remaining battery power, remaining fuel, the section information of each section, and the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes, determine the combined mode and speed adopted by the hybrid vehicle in each section.

[0021] Furthermore, the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes is obtained by statistically analyzing the historical driving data of the hybrid vehicle. Among them, the historical driving data includes multiple trip records. Each trip record includes the combined mode and speed adopted by the hybrid vehicle during that trip, as well as the length, required battery power, and required fuel of that trip.

[0022] According to the technical solution provided by the embodiment of the present application, obtain the traffic information of this trip, divide this trip into multiple sections according to the traffic information to obtain the section information of each section. Among them, the traffic information includes the distributions of vehicles, pedestrians, and obstacles, and the quantities of vehicles, pedestrians, and obstacles distributed in each section are different. The traffic information is composed of the section information of each section; obtain the remaining battery power and remaining fuel of the hybrid vehicle, and obtain the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes. Among them, the combined mode includes the driving mode and the power supply mode; according to the remaining battery power, remaining fuel, the section information of each section, and the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes, determine the combined mode and speed adopted by the hybrid vehicle in each section; control the hybrid vehicle to complete this trip according to the combined mode and speed adopted by the hybrid vehicle in each section. By adopting the above technical means, the problem in the prior art that it is impossible to comprehensively consider various factors to match a suitable combined mode and speed for the hybrid vehicle is solved, the applicability of the recommended combined mode and speed is improved, and the user driving experience and satisfaction are enhanced.

[0023] Further, based on the remaining battery power, remaining fuel, road section information of each road section, and the average energy consumption of the hybrid vehicle in various speed ranges when adopting various combined modes, determine the combined mode and speed adopted by the hybrid vehicle in each road section, including: determining the speed adopted by the hybrid vehicle in each road section according to the road section information of each road section; taking the highest comfort level of the user of the hybrid vehicle as the principle, ensuring that the remaining battery power and remaining fuel can complete this trip, and determining the combined mode adopted by the hybrid vehicle in each road section according to the average energy consumption of the hybrid vehicle in various speed ranges when adopting various combined modes and the speed adopted by the hybrid vehicle in each road section; wherein, the comfort level is determined according to the user's historical driving habits, and the historical driving habits include the speeds adopted by the hybrid vehicle in various combined modes in previous multiple trips. The more the determined combined mode and speed of the hybrid vehicle in each road section conform to the user's historical driving habits this time, the higher the comfort level.

[0024] When the determined combined mode and speed of the hybrid vehicle in each road section this time have a higher coincidence degree with the speeds adopted by the hybrid vehicle in various combined modes in previous multiple trips, the more the determined combined mode and speed of the hybrid vehicle in each road section this time conform to the user's historical driving habits.

[0025] Due to the different distributions of vehicles, pedestrians, and obstacles in each road section, a speed adapted to the road section information should be adopted. For example, a smaller speed is adopted in a road section with a dense distribution of vehicles, pedestrians, and obstacles, and a larger speed is adopted in a road section with a sparse distribution of vehicles, pedestrians, and obstacles. In the embodiment of the present application, the speed corresponding to each road section is first determined, and then the combined mode corresponding to each road section is determined. The prior art often takes energy conservation as the top priority and determines the lowest energy consumption for this trip. However, in fact, after the hybrid vehicle completes this trip and reaches the destination, it can be charged and refueled. In many cases, there is no need to deliberately save energy, and the user's driving experience can be emphasized. Therefore, in the embodiment of the present application, the speed corresponding to each road section is first determined, and then the combined mode corresponding to each road section is determined. Among them, the power and fuel consumed in each road section through the speed and combined mode corresponding to each road section are respectively less than the remaining battery power and remaining fuel, that is, it is ensured that the remaining battery power and remaining fuel can complete this trip. After meeting the above conditions, the user's comfort level is improved as much as possible.

[0026] Furthermore, the speed adopted by the hybrid vehicle is actually a speed range, and the hybrid vehicle can adopt a first speed range, a second speed range, a third speed range, and a fourth speed range. The first speed range is a speed less than the first speed, the second speed range is a speed less than the second speed but greater than or equal to the first speed, the third speed range is a speed less than the third speed but greater than or equal to the second speed, and the fourth speed range is a speed greater than or equal to the third speed.

[0027] For example, the first speed, the second speed, and the third speed are 30, 60, and 90 kilometers per hour respectively. Generally speaking, the energy consumption in the following intervals increases in turn: the second speed interval, the first speed interval, the third speed interval, and the fourth speed interval.

[0028] The driving modes include a sport mode, a comfort mode, and an energy-saving mode. The energy consumption in the following modes increases in turn: the energy-saving mode, the comfort mode, and the sport mode. Therefore, various combined modes and speeds correspond to different energy consumptions.

[0029] Furthermore, according to the remaining battery power, the remaining fuel quantity, the road section information of each road section, and the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes, determine the combined mode and speed adopted by the hybrid vehicle in each road section, including: taking the highest comfort as the optimization goal, taking the combined mode and speed adopted by the hybrid vehicle in each road section as variables, taking the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes as parameters, and taking the remaining battery power and the remaining fuel quantity as constraints, and modeling and solving the variables; wherein, the comfort is determined according to the user's historical driving habits, and the historical driving habits include the speeds adopted by the hybrid vehicle in various combined modes during previous multiple trips. The more the combined mode and speed adopted by the hybrid vehicle in each road section obtained in this solution conform to the user's historical driving habits, the higher the comfort.

[0030] Denote the model obtained by modeling as the vehicle control model. The average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes is the known parameter in the vehicle control model, and the variables need to be solved based on this parameter. In the embodiments of the present application, the combined mode and speed adopted by the hybrid vehicle in each road section are solved by using the method of mathematical modeling. Mathematical modeling is a commonly used mathematical method and will not be elaborated too much.

[0031] Furthermore, taking the remaining battery power and the remaining fuel quantity as constraints includes: according to the combined mode and speed adopted by the hybrid vehicle in each road section obtained in this solution, controlling the required battery power and the required fuel quantity for the hybrid vehicle to complete this trip to be less than the remaining battery power and the remaining fuel quantity respectively.

[0032] Furthermore, according to the remaining battery power, the remaining fuel quantity, the road section information of each road section, and the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes, use the vehicle control model to determine the combined mode and speed adopted by the hybrid vehicle in each road section; wherein, the vehicle control model is a neural network model that has been trained and can determine the combined mode and speed adopted by the hybrid vehicle in each road section according to the road section information of each road section and the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes.

[0033] In the embodiments of the present application, a method of training a neural network model is used to determine the combined mode and speed adopted by hybrid vehicles in each section. The neural network model can be selected as Backpropagation Neural Networks, and the training method adopts the training method of deep learning.

[0034] In some embodiments, the vehicle control model is trained as follows: Obtain a training data set, where the training data set includes multiple groups of training data. Each group of training data includes the remaining power, remaining fuel of the hybrid vehicle, the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes, and the section information of the section where the hybrid vehicle travels. The label of each group of training data is the combined mode and speed adopted by the hybrid vehicle. Input each group of training data into the vehicle control model, and output the classification result of each group of training data. Use the cross-entropy loss function to calculate the loss value between the classification result and the label of each group of training data, and optimize the model parameters of the vehicle control model according to the loss value corresponding to each group of training data to complete the training of the vehicle control model.

[0035] Furthermore, the traffic information also includes: uphill slope, downhill slope, turning angle or weather information; when determining the combined mode and speed adopted by the hybrid vehicle in each section, it is also necessary to rely on the uphill slope, downhill slope, turning angle or weather information.

[0036] Figure 2 It is a schematic flowchart of another hybrid vehicle control method provided by the embodiments of the present application, as Figure 2 shown, including:

[0037] S201, Obtain the traffic information of this trip, divide this trip into multiple sections according to the traffic information, and obtain the section information of each section. Among them, the traffic information includes at least one of the following: the distribution of vehicles, pedestrians and obstacles, and uphill slope, downhill slope, turning angle and weather information. The traffic information is composed of the section information of each section;

[0038] S202, Obtain the remaining power and remaining fuel of the hybrid vehicle, and obtain the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes;

[0039] S203, Determine the combined mode and speed adopted by the hybrid vehicle in each section according to the remaining power, remaining fuel, the section information of each section, and the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes;

[0040] S204, Control the hybrid vehicle to complete this trip according to the combined mode and speed adopted by the hybrid vehicle in each section.

[0041] Any combination of the above optional technical solutions can form an optional embodiment of the present application, which will not be elaborated one by one here.

[0042] The following is an apparatus embodiment of the present application, which can be used to execute the method embodiment of the present application. For details not disclosed in the apparatus embodiment of the present application, please refer to the method embodiment of the present application.

[0043] Figure 3 It is a schematic diagram of a hybrid vehicle control device provided by an embodiment of the present application. As Figure 3 shown, the hybrid vehicle control device includes:

[0044] A first acquisition module 301, configured to acquire traffic information of the current trip, divide the current trip into multiple road segments according to the traffic information, and obtain road segment information of each road segment, where the traffic information includes the distribution of vehicles, pedestrians, and obstacles, and the number of vehicles, pedestrians, and obstacles distributed in each road segment is different, and the traffic information is composed of the road segment information of each road segment;

[0045] A second acquisition module 302, configured to acquire the remaining power and remaining fuel of the hybrid vehicle, and acquire the average energy consumption of the hybrid vehicle at various speeds in various combined modes, where the combined modes include driving modes and energy supply modes;

[0046] A determination module 303, configured to determine the combined mode and speed adopted by the hybrid vehicle in each road segment according to the remaining power, the remaining fuel, the road segment information of each road segment, and the average energy consumption of the hybrid vehicle at various speeds in various combined modes;

[0047] A control module 304, configured to control the hybrid vehicle to complete the current trip according to the combined mode and speed adopted by the hybrid vehicle in each road segment.

[0048] In some embodiments, the average energy consumption of the hybrid vehicle at various speeds in various combined modes is obtained by statistically analyzing the historical driving data of the hybrid vehicle, where the historical driving data includes multiple trip records, and each trip record includes the combined mode and speed adopted by the hybrid vehicle during the trip, as well as the length, required power, and required fuel of the trip.

[0049] According to the technical solution provided by the embodiments of the present application, traffic information of the current trip is obtained, and the current trip is divided into multiple sections according to the traffic information to obtain the section information of each section. Among them, the traffic information includes the distribution of vehicles, pedestrians, and obstacles. The number of vehicles, pedestrians, and obstacles distributed in each section is different, and the traffic information is composed of the section information of each section; the remaining power and remaining fuel of the hybrid vehicle are obtained, and the average energy consumption of the hybrid vehicle at various speeds in various combination modes is obtained. Among them, the combination modes include driving modes and energy supply modes; according to the remaining power, remaining fuel, the section information of each section, and the average energy consumption of the hybrid vehicle at various speeds in various combination modes, the combination mode and speed adopted by the hybrid vehicle in each section are determined; according to the combination mode and speed adopted by the hybrid vehicle in each section, the hybrid vehicle is controlled to complete the current trip. By adopting the above technical means, the problem in the prior art that it is impossible to comprehensively consider various factors to match a suitable combination mode and speed for the hybrid vehicle is solved, the applicability of the recommended combination mode and speed is improved, and the user driving experience and satisfaction are enhanced.

[0050] In some embodiments, the determining module 303 is further configured to determine the speed adopted by the hybrid vehicle in each section according to the section information of each section; with the principle of maximizing the comfort of the user of the hybrid vehicle and ensuring that the remaining power and remaining fuel can complete the current trip, according to the average energy consumption of the hybrid vehicle at various speeds in various combination modes and the speed adopted by the hybrid vehicle in each section, determine the combination mode adopted by the hybrid vehicle in each section; among them, the comfort is determined according to the user's historical driving habits, and the historical driving habits include the speeds adopted by the hybrid vehicle in various combination modes in previous multiple trips. The more the determined combination mode and speed adopted by the hybrid vehicle in each section conform to the user's historical driving habits, the higher the comfort.

[0051] In some embodiments, the speed adopted by the hybrid vehicle is actually a speed range, and the hybrid vehicle can adopt a first speed range, a second speed range, a third speed range, and a fourth speed range. The first speed range is a speed less than the first speed, the second speed range is a speed less than the second speed but greater than or equal to the first speed, the third speed range is a speed less than the third speed but greater than or equal to the second speed, and the fourth speed range is a speed greater than or equal to the third speed.

[0052] In some embodiments, the determination module 303 is further configured to optimize with the highest comfort as the optimization goal, use the combined mode and speed adopted by the hybrid vehicle in each section as variables, use the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes as parameters, and use the remaining power and remaining fuel as constraints to model and solve the variables; wherein, the comfort is determined according to the user's historical driving habits, and the historical driving habits include the speeds adopted by the hybrid vehicle in various combined modes during multiple previous trips. The more the combined mode and speed adopted by the hybrid vehicle in each section obtained in this solution conform to the user's historical driving habits, the higher the comfort level.

[0053] In some embodiments, the determination module 303 is further configured to control the power required and fuel required for the hybrid vehicle to complete this trip to be less than the remaining power and remaining fuel respectively according to the combined mode and speed adopted by the hybrid vehicle in each section obtained in this solution.

[0054] In some embodiments, the determination module 303 is further configured to determine the combined mode and speed adopted by the hybrid vehicle in each section by using an automotive control model according to the remaining power, remaining fuel, section information of each section, and the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes; wherein, the automotive control model is a neural network model that has been trained and can determine the combined mode and speed adopted by the hybrid vehicle in each section according to the section information of each section and the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes.

[0055] In some embodiments, the determination module 303 is further configured to obtain a training data set, wherein the training data set includes multiple groups of training data, and each group of training data includes the remaining power and remaining fuel of the hybrid vehicle, the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes, and the section information of the section where the hybrid vehicle travels. The label of each group of training data is the combined mode and speed adopted by the hybrid vehicle; input each group of training data into the automotive control model, and output the classification result of each group of training data; use the cross-entropy loss function to calculate the loss value between the classification result and the label of each group of training data, and optimize the model parameters of the automotive control model according to the loss value corresponding to each group of training data to complete the training of the automotive control model.

[0056] In some embodiments, the traffic information further includes: uphill slope, downhill slope, turning angle, or weather information; when determining the combined mode and speed adopted by the hybrid vehicle in each section, it is also necessary to rely on the uphill slope, downhill slope, turning angle, or weather information.

[0057] In some embodiments, the first acquisition module 301 is further configured to acquire traffic information of the current trip, divide the current trip into multiple road segments according to the traffic information, and obtain road segment information of each road segment. The traffic information includes at least one of the following: distribution of vehicles, pedestrians, and obstacles, and uphill slope, downhill slope, turning angle, and weather information. The traffic information is composed of the road segment information of each road segment;

[0058] In some embodiments, the second acquisition module 302 is further configured to acquire the remaining power and remaining fuel of the hybrid vehicle, and acquire the average energy consumption of the hybrid vehicle at various speeds in various combined modes;

[0059] In some embodiments, the determination module 303 is further configured to determine the combined mode and speed adopted by the hybrid vehicle in each road segment according to the remaining power, remaining fuel, road segment information of each road segment, and the average energy consumption of the hybrid vehicle at various speeds in various combined modes;

[0060] In some embodiments, the control module 304 is further configured to control the hybrid vehicle to complete the current trip according to the combined mode and speed adopted by the hybrid vehicle in each road segment.

[0061] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0062] Figure 4 is a schematic diagram of the electronic device 4 provided by an embodiment of the present disclosure. As Figure 4 shown, the electronic device 4 of this embodiment includes: a processor 401, a memory 402, and a computer program 403 stored in the memory 402 and executable on the processor 401. When the processor 401 executes the computer program 403, the steps in the above various method embodiments are implemented. Alternatively, when the processor 401 executes the computer program 403, the functions of each module / unit in the above various device embodiments are implemented.

[0063] The electronic device 4 may include, but is not limited to, the processor 401 and the memory 402. Those skilled in the art can understand that Figure 4 is merely an example of the electronic device 4, and does not constitute a limitation to the electronic device 4. It may include more or fewer components than shown in the figure, or different components.

[0064] The processor 401 can be a Central Processing Unit (CPU), or other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc.

[0065] The memory 402 can be an internal storage unit of the electronic device 4. For example, the hard disk or memory of the electronic device 4. The memory 402 can also be an external storage device of the electronic device 4. For example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc., equipped on the electronic device 4. The memory 402 can also include both the internal storage unit and the external storage device of the electronic device 4. The memory 402 is used to store computer programs and other programs and data required by the electronic device.

[0066] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0067] When an integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-mentioned embodiment methods of this application, it can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be implemented. The computer program can include computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice within the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0068] The above embodiments are only used to illustrate the technical solutions of this application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of this application, and should all be included in the protection scope of this application.

Claims

1. A hybrid vehicle control method, characterized in that, Including: Obtain the traffic information of the current trip, divide the current trip into multiple sections according to the traffic information to obtain the section information of each section. Wherein, the traffic information includes the distribution of vehicles, pedestrians and obstacles, and the number of vehicles, pedestrians and obstacles distributed in each section is different. The traffic information is composed of the section information of each section; Obtain the remaining power and remaining fuel of the hybrid vehicle, and obtain the average energy consumption of the hybrid vehicle at various speeds in various combined modes. Wherein, the combined modes include driving modes and power supply modes; According to the remaining power, the remaining fuel, the section information of each section, and the average energy consumption of the hybrid vehicle at various speeds in various combined modes, determine the combined mode and speed adopted by the hybrid vehicle in each section; Control the hybrid vehicle to complete the current trip according to the combined mode and speed adopted by the hybrid vehicle in each section; According to the remaining power, the remaining fuel, the section information of each section, and the average energy consumption of the hybrid vehicle at various speeds in various combined modes, determine the combined mode and speed adopted by the hybrid vehicle in each section, including: According to the section information of each section, determine the speed adopted by the hybrid vehicle in each section; Taking the highest comfort level of the user of the hybrid vehicle as the principle, ensuring that the remaining power and the remaining fuel can complete the current trip, and according to the average energy consumption of the hybrid vehicle at various speeds in various combined modes and the speed adopted by the hybrid vehicle in each section, determine the combined mode adopted by the hybrid vehicle in each section; Wherein, the comfort level is determined according to the historical driving habits of the user. The historical driving habits include the speeds adopted by the hybrid vehicle in various combined modes in previous multiple trips. The more the determined combined mode and speed adopted by the hybrid vehicle in each section conform to the historical driving habits of the user, the higher the comfort level.

2. The method according to claim 1, characterized in that, The average energy consumption of the hybrid vehicle at various speeds in various combined modes is obtained by statistically analyzing the historical driving data of the hybrid vehicle. Wherein, the historical driving data includes multiple trip records, and each trip record includes the combined mode and speed adopted by the hybrid vehicle in this trip, as well as the length, required power and required fuel of this trip.

3. The method according to claim 1, characterized in that According to the remaining power, the remaining fuel, the section information of each section, and the average energy consumption of the hybrid vehicle at various speeds in various combined modes, determine the combined mode and speed adopted by the hybrid vehicle in each section, including: Taking the highest comfort level as the optimization goal, taking the combined mode and speed adopted by the hybrid vehicle in each section as variables, taking the average energy consumption of the hybrid vehicle at various speeds in various combined modes as parameters, and taking the remaining power and the remaining fuel as constraints, model and solve the variables.

4. The method according to claim 3, characterized in that, Taking the remaining power and the remaining fuel as constraints, including: According to the combined mode and speed adopted by the hybrid vehicle in each section obtained in this solution, control the hybrid vehicle so that the required power and required fuel for this trip are respectively less than the remaining power and the remaining fuel.

5. The method according to claim 1, characterized in that, According to the remaining power, the remaining fuel, the section information of each section, and the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes, use the vehicle control model to determine the combined mode and speed adopted by the hybrid vehicle in each section; Wherein, the vehicle control model is a neural network model and the vehicle control model has been trained.

6. The method according to claim 5, wherein The method further includes: Performing the training on the vehicle control model: Obtain a training data set, wherein the training data set includes multiple groups of training data, and each group of training data includes the remaining power of the hybrid vehicle, the remaining fuel, the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes, and the section information of the section where the hybrid vehicle travels. The label of each group of training data is the combined mode and speed adopted by the hybrid vehicle; Input each group of training data into the vehicle control model and output the classification result of each group of training data; Use the cross-entropy loss function to calculate the loss value between the classification result and the label of each group of training data, and optimize the model parameters of the vehicle control model according to the loss value corresponding to each group of training data to complete the training of the vehicle control model.

7. A hybrid vehicle control device, characterized in that, Including: A first acquisition module configured to acquire the traffic information of this trip, divide this trip into multiple sections according to the traffic information to obtain the section information of each section, wherein the traffic information includes the distribution of vehicles, pedestrians, and obstacles, and the number of vehicles, pedestrians, and obstacles distributed in each section is different, and the traffic information is composed of the section information of each section; A second acquisition module configured to acquire the remaining power and remaining fuel of the hybrid vehicle, and acquire the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes, wherein the combined mode includes a driving mode and an energy supply mode; A determination module configured to determine the combined mode and speed adopted by the hybrid vehicle in each section according to the remaining power, the remaining fuel, the section information of each section, and the average energy consumption of the hybrid vehicle at various speeds when adopting various combined modes; A control module configured to control the hybrid vehicle to complete this trip according to the combined mode and speed adopted by the hybrid vehicle in each section; The determining module is further configured to: determine the speed adopted by the hybrid vehicle for each road section according to the road section information of each road section; with the principle of maximizing the comfort of the user of the hybrid vehicle, ensure that the remaining power and the remaining fuel can complete the current trip, and determine the combination mode adopted by the hybrid vehicle in each road section according to the average energy consumption of the hybrid vehicle in various speed ranges when adopting various combination modes and the speed adopted by the hybrid vehicle in each road section; wherein, the comfort level is determined according to the historical driving habits of the user, and the historical driving habits include the speeds adopted by the hybrid vehicle in various combination modes during multiple previous trips. The more the combination mode and speed adopted by the hybrid vehicle in each road section determined this time conform to the historical driving habits of the user, the higher the comfort level.

8. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method described in any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the steps of the method described in any one of claims 1 to 6 are implemented.

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