CN117163003A - Hybrid electric vehicle control method and device, electronic equipment and storage medium - Google Patents
Hybrid electric vehicle control method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a hybrid electric vehicle control method, a hybrid electric vehicle control device, electronic equipment and a storage medium. The method comprises the following steps: acquiring traffic information of the current journey, and dividing the current journey into a plurality of road sections according to the traffic information; obtaining the residual electric quantity and the residual oil quantity of the hybrid electric vehicle and obtaining the average energy consumption of the hybrid electric vehicle under various speeds when adopting various combination modes; determining a combination mode and a speed adopted by the hybrid electric vehicle in each road section according to the residual electric quantity, the residual oil quantity, the road section information of each road section and the average energy consumption of the hybrid electric vehicle in various combination modes at various speeds; and controlling the hybrid electric vehicle to complete the current journey according to the combination mode and the speed adopted by the hybrid electric vehicle in each road section. By adopting the technical means, the problem that various factors cannot be synthesized in the prior art to adapt a proper combination mode and speed for the hybrid vehicle is solved.
Description
Technical Field
The present application relates to the field of automotive technologies, and in particular, to a hybrid vehicle control method, a hybrid vehicle control device, an electronic device, and a storage medium.
Background
The automatic driving technology not only releases the driver from boring driving work, but also improves the driving safety and comfort, and the automatic driving has become the necessary trend of the automobile technology development. For a hybrid vehicle, there are two sets of energy supply modes, and a plurality of driving modes, and two-by-two combinations of different driving modes and energy supply modes can be regarded as a combined mode. The energy consumption of the different combination modes is different, and if the speed control and the traffic information are different, the energy consumption calculation is more complicated. How to recommend proper combination modes and speeds for hybrid vehicles under energy supply satisfaction in automatic driving is a hot spot research direction, but the effect is not ideal.
Disclosure of Invention
In view of the above, the embodiments of the present application provide a method, an apparatus, an electronic device, and a storage medium for controlling a hybrid vehicle, so as to solve the problem in the prior art that various factors cannot be integrated to adapt a suitable combination mode and speed for the hybrid vehicle.
In a first aspect of an embodiment of the present application, a method for controlling a hybrid vehicle is provided, including: the method comprises the steps of obtaining traffic information of a current journey, dividing the current journey into a plurality of road sections according to the traffic information to obtain road section information of each road section, wherein the traffic information comprises the distribution of vehicles, pedestrians and barriers, the quantity of the vehicles, the pedestrians and the barriers distributed in each road section is different, and the traffic information consists of road section information of each road section; obtaining the residual electric quantity and the residual oil quantity of the hybrid electric vehicle, and obtaining the average energy consumption of the hybrid electric vehicle at various speeds when adopting various combination modes, wherein the combination modes comprise a driving mode and an energy supply mode; determining a combination mode and a speed adopted by the hybrid electric vehicle in each road section according to the residual electric quantity, the residual oil quantity, the road section information of each road section and the average energy consumption of the hybrid electric vehicle in various combination modes at various speeds; and controlling the hybrid electric vehicle to complete the current journey according to the combination mode and the speed adopted by the hybrid electric vehicle in each road section.
In a second aspect of the embodiment of the present application, there is provided a hybrid vehicle control apparatus, including: the first acquisition module is configured to acquire traffic information of the current journey, divide the current journey into a plurality of road sections according to the traffic information, and obtain road section information of each road section, wherein the traffic information comprises the distribution of vehicles, pedestrians and obstacles, the quantity of the vehicles, the pedestrians and the obstacles distributed in each road section is different, and the traffic information consists of the road section information of each road section; the second acquisition module is configured to acquire the residual electric quantity and the residual oil quantity of the hybrid electric vehicle and acquire the average energy consumption of the hybrid electric vehicle at various speeds when the hybrid electric vehicle adopts various combination modes, wherein the combination modes comprise a driving mode and an energy supply mode; the determining module is configured to determine a combination mode and a speed adopted by the hybrid vehicle in each road section according to the residual electric quantity, the residual oil quantity, the road section information of each road section and the average energy consumption of the hybrid vehicle in various combination modes at various speeds; the control module is configured to control the hybrid electric vehicle to finish the current journey according to the combination mode and the speed adopted by the hybrid electric vehicle in each road section.
In a third aspect of the embodiments of the present application, there is provided an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method as described above when executing the computer program.
In a fourth aspect of embodiments of the application, there is provided a computer readable storage medium storing a computer program which, when executed by a processor, performs the steps of the method of any one of the preceding claims.
Compared with the prior art, the embodiment of the application has the beneficial effects that: according to the embodiment of the application, the current journey is divided into a plurality of road sections according to the traffic information, the road section information of each road section is obtained, and the combination mode and the speed adopted by the hybrid vehicle in each road section are determined according to the residual electric quantity, the residual oil quantity, the road section information of each road section and the average energy consumption of the hybrid vehicle in various combination modes at various speeds.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a hybrid vehicle control method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of another control method of a hybrid vehicle according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a hybrid vehicle control device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
Fig. 1 is a schematic flow chart of a hybrid vehicle control method according to an embodiment of the present application. The hybrid vehicle control method of fig. 1 may be executed by a computer or a server, or a processor provided on the computer or the server, or software on the computer or a general server. The control method of the hybrid electric vehicle comprises the following steps:
s101, acquiring traffic information of the current journey, dividing the current journey into a plurality of road sections according to the traffic information to obtain road section information of each road section, wherein the traffic information comprises the distribution of vehicles, pedestrians and barriers, the quantity of the vehicles, pedestrians and barriers distributed in each road section is different, and the traffic information consists of the road section information of each road section;
s102, acquiring the residual electric quantity and the residual oil quantity of the hybrid electric vehicle, and acquiring the average energy consumption of the hybrid electric vehicle at various speeds when adopting various combination modes, wherein the combination modes comprise a driving mode and an energy supply mode;
s103, determining a combination mode and a speed adopted by the hybrid vehicle in each road section according to the residual electric quantity, the residual oil quantity, the road section information of each road section and the average energy consumption of the hybrid vehicle in various combination modes at various speeds;
s104, controlling the hybrid electric vehicle to complete the journey according to the combination mode and the speed adopted by the hybrid electric vehicle in each road section.
Specifically: the distribution of vehicles, pedestrians, and obstacles includes the locations of the vehicles, pedestrians, and obstacles and the number of the respective locations. According to the different distributions of vehicles, pedestrians and obstacles in the current journey, the journey can be divided into a plurality of road sections, the distribution of the vehicles, pedestrians and obstacles in each road section is the road section information of each road section, and the road section information of all road sections are combined to be traffic information. The residual electric quantity and the residual oil quantity are respectively the electric quantity and the oil quantity of the hybrid electric vehicle at the current moment. The driving mode comprises a sport mode, a comfort mode and an energy-saving mode, the energy supply mode comprises electric drive and fuel drive, and the combined mode comprises the driving mode and the energy supply mode, so that the combined mode has six modes. And comprehensively considering the residual electric quantity, the residual oil quantity, the road section information of each road section and the average energy consumption of the hybrid electric vehicle at various speeds when adopting various combination modes, and determining the combination modes and the speeds adopted by the hybrid electric vehicle in each road section.
Further, the average energy consumption of the hybrid vehicle at various speeds when the hybrid vehicle adopts various combination modes is obtained by counting historical driving data of the hybrid vehicle, wherein the historical driving data comprises a plurality of journey records, and each journey record comprises the combination mode and the speed adopted by the hybrid vehicle in the journey, and the length, the required electric quantity and the required oil quantity of the journey.
According to the technical scheme provided by the embodiment of the application, the traffic information of the current journey is obtained, the current journey is divided into a plurality of road sections according to the traffic information, and the road section information of each road section is obtained, wherein the traffic information comprises the distribution of vehicles, pedestrians and barriers, the quantity of the vehicles, the pedestrians and the barriers distributed in each road section is different, and the traffic information consists of the road section information of each road section; obtaining the residual electric quantity and the residual oil quantity of the hybrid electric vehicle, and obtaining the average energy consumption of the hybrid electric vehicle at various speeds when adopting various combination modes, wherein the combination modes comprise a driving mode and an energy supply mode; determining a combination mode and a speed adopted by the hybrid electric vehicle in each road section according to the residual electric quantity, the residual oil quantity, the road section information of each road section and the average energy consumption of the hybrid electric vehicle in various combination modes at various speeds; and controlling the hybrid electric vehicle to complete the current journey according to the combination mode and the speed adopted by the hybrid electric vehicle in each road section. By adopting the technical means, the problem that various factors cannot be integrated to adapt a proper combination mode and speed for the hybrid electric vehicle in the prior art is solved, the applicability of the recommended combination mode and speed is improved, and the driving experience and satisfaction of a user are improved.
Further, determining a combination mode and a speed adopted by the hybrid vehicle in each road section according to the remaining power, the remaining oil quantity, the road section information of each road section and the average energy consumption of the hybrid vehicle in each combination mode at each speed, wherein the method comprises the following steps: determining the speed adopted by the hybrid electric vehicle at each road section according to the road section information of each road section; the method comprises the steps of taking the highest comfort level of a user of the hybrid electric vehicle as a principle, ensuring that the residual electric quantity and the residual oil quantity can finish the journey, and determining the combined mode adopted by the hybrid electric vehicle in each road section according to the average energy consumption of the hybrid electric vehicle in each speed when the hybrid electric vehicle adopts various combined modes and the speed adopted by the hybrid electric vehicle in each road section; the comfort level is determined according to the historical driving habit of the user, the historical driving habit comprises the speeds adopted by the hybrid electric vehicle in various combination modes in the previous multiple strokes, and the combination modes and the speeds adopted by the hybrid electric vehicle in each road section are the same as the historical driving habit of the user, so that the comfort level is higher.
When the combination mode and the speed adopted by the hybrid electric vehicle in each road section determined at the time and the speed adopted by the hybrid electric vehicle in various combination modes in the previous multiple strokes are higher, the combination mode and the speed adopted by the hybrid electric vehicle in each road section determined at the time are more consistent with the historical driving habit of a user.
Because the distribution of vehicles, pedestrians and obstacles is different, the speed adapted to the road information should be adopted for each road section, for example, a road section with dense distribution of vehicles, pedestrians and obstacles adopts a smaller speed and a road section with sparse distribution of vehicles, pedestrians and obstacles adopts a larger speed. The embodiment of the application firstly determines the speed corresponding to each road section, and then determines the combination mode corresponding to each road section. In the prior art, energy conservation is often taken as a first key task, the lowest energy consumption of the current journey is determined, but in practice, the hybrid electric vehicle can be charged and refueled after the current journey is completed and reaches a destination, and in many cases, the energy conservation is not needed to be considered, and the vehicle using experience of a user can be paid attention to completely.
Further, the speed adopted by the hybrid vehicle is actually a speed interval, and the first speed interval, the second speed interval, the third speed interval and the fourth speed interval can be adopted by the hybrid vehicle. The first speed section is a speed lower than the first speed, the second speed section is a speed lower than the second speed but equal to or higher than the first speed, the third speed section is a speed lower than the third speed but equal to or higher than the second speed, and the fourth speed section is a speed equal to or higher than the third speed.
Such as 30, 60, 90 kilometers per hour for the first speed, the second speed, and the third speed, respectively. Generally, the energy consumption increases in each of the following intervals: a second speed interval, a first speed interval, a third speed interval, and a fourth speed interval.
The driving mode comprises a sport mode, a comfort mode and an energy-saving mode, and the energy consumption of the following modes is sequentially increased: energy saving mode, comfort mode, sport mode. The various combining modes and speeds correspond to different energy consumption.
Further, determining a combination mode and a speed adopted by the hybrid vehicle in each road section according to the remaining power, the remaining oil quantity, the road section information of each road section and the average energy consumption of the hybrid vehicle in each combination mode at each speed, wherein the method comprises the following steps: taking the highest comfort as an optimization target, taking a combination mode and speed adopted by the hybrid electric vehicle in each road section as variables, taking average energy consumption at various speeds when the hybrid electric vehicle adopts various combination modes as parameters, taking the residual electric quantity and the residual oil quantity as constraints, and modeling to solve the variables; the comfort level is determined according to the historical driving habit of the user, the historical driving habit comprises the speed adopted by the hybrid electric vehicle in various combination modes in the previous multiple strokes, and the combination mode and the speed adopted by the hybrid electric vehicle in each road section which are solved this time are more consistent with the historical driving habit of the user, so that the comfort level is higher.
And (3) marking the model obtained by modeling as an automobile control model, wherein the average energy consumption of the hybrid automobile at various speeds is a known parameter in the automobile control model when the hybrid automobile adopts various combination modes, and the parameter is needed to be used for solving the variable. The embodiment of the application adopts a combination mode and speed adopted by the hybrid electric vehicle in each road section solved by adopting a mathematical modeling method, and the mathematical modeling is a common mathematical method and is not repeated.
Further, taking the remaining electric quantity and the remaining oil quantity as constraints, the method comprises the following steps: and controlling the electric quantity and the oil quantity required by the hybrid electric vehicle to finish the current journey to be respectively smaller than the residual electric quantity and the residual oil quantity according to the combination mode and the speed adopted by the hybrid electric vehicle in each road section.
Further, according to the residual electric quantity, the residual oil quantity, the road section information of each road section and the average energy consumption of the hybrid electric vehicle in various speeds when adopting various combination modes, determining the combination modes and the speeds adopted by the hybrid electric vehicle in each road section by utilizing an automobile control model; the automobile control model is a neural network model, and can determine the combination mode and the speed adopted by the hybrid automobile in each road section according to the road section information of each road section and the average energy consumption of the hybrid automobile in various combination modes under various speeds through training.
The embodiment of the application determines the combination mode and the speed adopted by the hybrid electric vehicle in each road section by a method for training a neural network model. Backpropagation Neural Networks can be selected as the neural network model, and the training method adopts a deep learning training method.
In some embodiments, the automobile control model is trained: acquiring a training data set, wherein the training data set comprises a plurality of groups of training data, each group of training data comprises the residual electric quantity and the residual oil quantity of the hybrid electric vehicle, the average energy consumption of the hybrid electric vehicle under various speeds when adopting various combination modes and the road section information of a road section on which the hybrid electric vehicle runs, and the label of each group of training data is the combination mode and the speed adopted by the hybrid electric vehicle; inputting each group of training data into an automobile control model, and outputting a classification result of each group of training data; and calculating the classification result of each group of training data and the loss value between the labels by using the cross entropy loss function, and optimizing the model parameters of the automobile control model according to the loss value corresponding to each group of training data so as to complete the training of the automobile control model.
Further, the traffic information further includes: uphill gradient, downhill gradient, turning angle or weather information; in determining the combined mode and speed to be used by the hybrid vehicle in each road section, it is also necessary to rely on uphill gradient, downhill gradient, turning angle or weather information.
Fig. 2 is a flow chart of another control method of a hybrid vehicle according to an embodiment of the present application, as shown in fig. 2, including:
s201, acquiring traffic information of the current journey, dividing the current journey into a plurality of road sections according to the traffic information, and obtaining road section information of each road section, wherein the traffic information comprises at least one of the following: distribution of vehicles, pedestrians and obstacles, uphill gradient, downhill gradient, turning angle and weather information, wherein the traffic information consists of road section information of each road section;
s202, acquiring the residual electric quantity and the residual oil quantity of the hybrid electric vehicle, and acquiring the average energy consumption of the hybrid electric vehicle at various speeds when adopting various combination modes;
s203, determining a combination mode and a speed adopted by the hybrid vehicle in each road section according to the residual electric quantity, the residual oil quantity, the road section information of each road section and the average energy consumption of the hybrid vehicle in various combination modes at various speeds;
s204, controlling the hybrid electric vehicle to complete the current journey according to the combination mode and the speed adopted by the hybrid electric vehicle in each road section.
Any combination of the above optional solutions may be adopted to form an optional embodiment of the present application, which is not described herein.
The following are examples of the apparatus of the present application that may be used to perform the method embodiments of the present application. For details not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the method of the present application.
Fig. 3 is a schematic diagram of a hybrid vehicle control device according to an embodiment of the present application. As shown in fig. 3, the hybrid vehicle control apparatus includes:
the first obtaining module 301 is configured to obtain traffic information of a current trip, and divide the current trip into a plurality of road segments according to the traffic information to obtain road segment information of each road segment, where the traffic information includes distribution of vehicles, pedestrians and obstacles, and the number of the vehicles, pedestrians and obstacles distributed in each road segment is different, and the traffic information is composed of road segment information of each road segment;
a second obtaining module 302 configured to obtain a remaining power and a remaining oil amount of the hybrid vehicle, and obtain average energy consumption of the hybrid vehicle at various speeds when the hybrid vehicle adopts various combination modes, wherein the combination modes include a driving mode and an energy supply mode;
a determining module 303 configured to determine a combination mode and a speed adopted by the hybrid vehicle in each road section according to the remaining power, the remaining oil amount, road section information of each road section, and average energy consumption at various speeds when the hybrid vehicle adopts various combination modes;
the control module 304 is configured to control the hybrid electric vehicle to complete the current journey according to the combination mode and the speed adopted by the hybrid electric vehicle in each road section.
In some embodiments, the average energy consumption at various speeds of the hybrid vehicle when the hybrid vehicle employs various combination modes is obtained by counting historical driving data of the hybrid vehicle, wherein the historical driving data includes a plurality of trip records, each trip record including the combination mode and speed employed by the hybrid vehicle in the trip, and the length of the trip, the amount of power required, and the amount of oil required.
According to the technical scheme provided by the embodiment of the application, the traffic information of the current journey is obtained, the current journey is divided into a plurality of road sections according to the traffic information, and the road section information of each road section is obtained, wherein the traffic information comprises the distribution of vehicles, pedestrians and barriers, the quantity of the vehicles, the pedestrians and the barriers distributed in each road section is different, and the traffic information consists of the road section information of each road section; obtaining the residual electric quantity and the residual oil quantity of the hybrid electric vehicle, and obtaining the average energy consumption of the hybrid electric vehicle at various speeds when adopting various combination modes, wherein the combination modes comprise a driving mode and an energy supply mode; determining a combination mode and a speed adopted by the hybrid electric vehicle in each road section according to the residual electric quantity, the residual oil quantity, the road section information of each road section and the average energy consumption of the hybrid electric vehicle in various combination modes at various speeds; and controlling the hybrid electric vehicle to complete the current journey according to the combination mode and the speed adopted by the hybrid electric vehicle in each road section. By adopting the technical means, the problem that various factors cannot be integrated to adapt a proper combination mode and speed for the hybrid electric vehicle in the prior art is solved, the applicability of the recommended combination mode and speed is improved, and the driving experience and satisfaction of a user are improved.
In some embodiments, the determining module 303 is further configured to determine a speed adopted by the hybrid vehicle of each road segment according to road segment information of each road segment; the method comprises the steps of taking the highest comfort level of a user of the hybrid electric vehicle as a principle, ensuring that the residual electric quantity and the residual oil quantity can finish the journey, and determining the combined mode adopted by the hybrid electric vehicle in each road section according to the average energy consumption of the hybrid electric vehicle in each speed when the hybrid electric vehicle adopts various combined modes and the speed adopted by the hybrid electric vehicle in each road section; the comfort level is determined according to the historical driving habit of the user, the historical driving habit comprises the speeds adopted by the hybrid electric vehicle in various combination modes in the previous multiple strokes, and the combination modes and the speeds adopted by the hybrid electric vehicle in each road section are the same as the historical driving habit of the user, so that the comfort level is higher.
In some embodiments, the speed employed by the hybrid vehicle is actually a speed interval, a first speed interval, a second speed interval, a third speed interval, a fourth speed interval that the hybrid vehicle may employ. The first speed section is a speed lower than the first speed, the second speed section is a speed lower than the second speed but equal to or higher than the first speed, the third speed section is a speed lower than the third speed but equal to or higher than the second speed, and the fourth speed section is a speed equal to or higher than the third speed.
In some embodiments, the determining module 303 is further configured to model and solve the variables with the highest comfort as an optimization target, with the combined modes and speeds adopted by the hybrid vehicle in each road section as variables, with the average energy consumption at various speeds when the hybrid vehicle adopts various combined modes as parameters, with the remaining electric quantity and the remaining oil quantity as constraints; the comfort level is determined according to the historical driving habit of the user, the historical driving habit comprises the speed adopted by the hybrid electric vehicle in various combination modes in the previous multiple strokes, and the combination mode and the speed adopted by the hybrid electric vehicle in each road section which are solved this time are more consistent with the historical driving habit of the user, so that the comfort level is higher.
In some embodiments, the determining module 303 is further configured to control the electric quantity and the required oil quantity required by the hybrid vehicle to complete the current journey to be smaller than the remaining electric quantity and the remaining oil quantity respectively according to the combination mode and the speed adopted by the hybrid vehicle in each road section solved at the current time.
In some embodiments, the determining module 303 is further configured to determine, using the vehicle control model, a combined mode and a speed to be employed by the hybrid vehicle in each road segment based on the remaining power, the remaining oil, road segment information for each road segment, and average power consumption at various speeds when the hybrid vehicle employs the combined mode; the automobile control model is a neural network model, and can determine the combination mode and the speed adopted by the hybrid automobile in each road section according to the road section information of each road section and the average energy consumption of the hybrid automobile in various combination modes under various speeds through training.
In some embodiments, the determining module 303 is further configured to obtain a training data set, where the training data set includes a plurality of sets of training data, each set of training data including a remaining power amount of the hybrid vehicle, a remaining oil amount, an average power consumption at various speeds when the hybrid vehicle adopts various combination modes, and road segment information of a road segment on which the hybrid vehicle is traveling, and a label of each set of training data is a combination mode and speed adopted by the hybrid vehicle; inputting each group of training data into an automobile control model, and outputting a classification result of each group of training data; and calculating the classification result of each group of training data and the loss value between the labels by using the cross entropy loss function, and optimizing the model parameters of the automobile control model according to the loss value corresponding to each group of training data so as to complete the training of the automobile control model.
In some embodiments, the traffic information further comprises: uphill gradient, downhill gradient, turning angle or weather information; in determining the combined mode and speed to be used by the hybrid vehicle in each road section, it is also necessary to rely on uphill gradient, downhill gradient, turning angle or weather information.
In some embodiments, the first obtaining module 301 is further configured to obtain traffic information of the current trip, and divide the current trip into a plurality of segments according to the traffic information to obtain segment information of each segment, where the traffic information includes at least one of the following: distribution of vehicles, pedestrians and obstacles, uphill gradient, downhill gradient, turning angle and weather information, wherein the traffic information consists of road section information of each road section;
in some embodiments, the second obtaining module 302 is further configured to obtain a remaining amount of power and a remaining amount of oil of the hybrid vehicle, and obtain average energy consumption of the hybrid vehicle at various speeds when the hybrid vehicle adopts various combination modes;
in some embodiments, the determining module 303 is further configured to determine a combined mode and a speed adopted by the hybrid vehicle in each road segment according to the remaining power, the remaining oil amount, the road segment information of each road segment, and the average energy consumption at various speeds when the hybrid vehicle adopts the various combined modes;
in some embodiments, the control module 304 is further configured to control the hybrid vehicle to complete the present trip according to the combined mode and speed adopted by the hybrid vehicle in each road segment.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.
Fig. 4 is a schematic diagram of an electronic device 4 provided by an embodiment of the present disclosure. As shown in fig. 4, the electronic apparatus 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. The steps of the various method embodiments described above are implemented by processor 401 when executing computer program 403. Alternatively, the processor 401, when executing the computer program 403, performs the functions of the modules/units in the above-described apparatus embodiments.
The electronic device 4 may include, but is not limited to, a processor 401 and a memory 402. It will be appreciated by those skilled in the art that fig. 4 is merely an example of the electronic device 4 and is not limiting of the electronic device 4 and may include more or fewer components than shown, or different components.
The processor 401 may be a central processing unit (Central Processing Unit, CPU) or other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 402 may be an internal storage unit of the electronic device 4, for example, a hard disk or a memory of the electronic device 4. The memory 402 may 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 (Flash Card) or the like, which are provided on the electronic device 4. Memory 402 may also include both internal storage units and external storage devices of electronic device 4. The memory 402 is used to store computer programs and other programs and data required by the electronic device.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, and the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of each of the method embodiments described above. The computer program may comprise computer program code, which may be in source code form, object code form, executable file or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a Random access Memory (Random AccessMemory, RAM), an electrical carrier signal, a telecommunication signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the jurisdiction's jurisdiction and the patent practice, for example, in some jurisdictions, the computer readable medium does not include electrical carrier signals and telecommunication signals according to the jurisdiction and the patent practice.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (10)
1. A hybrid vehicle control method, characterized by comprising:
acquiring traffic information of a current journey, dividing the current journey into a plurality of road sections according to the traffic information to obtain road section information of each road section, wherein the traffic information comprises the distribution of vehicles, pedestrians and barriers, the quantity of the vehicles, pedestrians and barriers distributed in each road section is different, and the traffic information consists of road section information of each road section;
obtaining the residual electric quantity and the residual oil quantity of a hybrid electric vehicle, and obtaining the average energy consumption of the hybrid electric vehicle at various speeds when adopting various combination modes, wherein the combination modes comprise a driving mode and an energy supply mode;
determining a combination mode and a speed adopted by the hybrid vehicle in each road section according to the residual electric quantity, the residual oil quantity, the road section information of each road section and the average energy consumption of the hybrid vehicle in various speeds when adopting various combination modes;
and controlling the hybrid electric vehicle to finish the current journey according to the combination mode and the speed adopted by the hybrid electric vehicle in each road section.
2. The method of claim 1, wherein the average energy consumption of the hybrid vehicle at various speeds when the hybrid vehicle adopts various combination modes is obtained by counting historical driving data of the hybrid vehicle, wherein the historical driving data includes a plurality of trip records, each trip record including the combination mode and speed adopted by the hybrid vehicle in the trip, and the length of the trip, the required amount of electricity, and the required amount of oil.
3. The method according to claim 1, wherein determining the combined mode and speed employed by the hybrid vehicle in each road segment based on the remaining power, the remaining oil amount, road segment information of each road segment, and average power consumption at various speeds when the hybrid vehicle employs the combined modes comprises:
determining the speed adopted by the hybrid electric vehicle on each road section according to the road section information of each road section;
the method comprises the steps of taking the highest comfort level of a user of the hybrid electric vehicle as a principle, ensuring that the residual electric quantity and the residual oil quantity can finish the current journey, and determining a combined mode adopted by the hybrid electric vehicle in each road section according to average energy consumption of the hybrid electric vehicle in various speeds when the hybrid electric vehicle adopts various combined modes and the speeds adopted by the hybrid electric vehicle in each road section;
the comfort level is determined according to the historical driving habit of the user, the historical driving habit comprises the speed adopted by the hybrid electric vehicle in various combination modes in the previous multiple strokes, and the combination mode and the speed adopted by the hybrid electric vehicle in each road section determined this time are more consistent with the historical driving habit of the user, and the comfort level is higher.
4. The method according to claim 1, wherein determining the combined mode and speed employed by the hybrid vehicle in each road segment based on the remaining power, the remaining oil amount, road segment information of each road segment, and average power consumption at various speeds when the hybrid vehicle employs the combined modes comprises:
taking the highest comfort level as an optimization target, taking a combination mode and speed adopted by the hybrid electric vehicle in each road section as variables, taking average energy consumption at various speeds when the hybrid electric vehicle adopts various combination modes as parameters, taking the residual electric quantity and the residual oil quantity as constraints, and modeling to solve the variables;
the comfort level is determined according to historical driving habits of a user, the historical driving habits comprise speeds adopted by the hybrid electric vehicle in various combination modes in a plurality of previous strokes, and the combination modes and speeds adopted by the hybrid electric vehicle in each road section which are solved this time are more consistent with the historical driving habits of the user, and the comfort level is higher.
5. The method of claim 4, wherein constraining the remaining amount of power and the remaining amount of oil comprises:
and controlling the electric quantity and the oil quantity required by the hybrid electric vehicle to finish the current journey to be respectively smaller than the residual electric quantity and the residual oil quantity according to the combination mode and the speed adopted by the hybrid electric vehicle in each road section obtained at the current time.
6. The method according to claim 1, wherein the combined mode and speed adopted by the hybrid vehicle in each road section are determined using a vehicle control model based on the remaining power, the remaining oil amount, road section information of each road section, and average power consumption at various speeds when the hybrid vehicle adopts various combined modes;
wherein the automobile control model is a neural network model, the automobile control model having been trained.
7. The method of claim 6, wherein the method further comprises:
the training is performed on the automobile control model:
acquiring a training data set, wherein the training data set comprises a plurality of groups of training data, each group of training data comprises the residual electric quantity and the residual oil quantity of the hybrid electric vehicle, the average energy consumption of the hybrid electric vehicle at various speeds when the hybrid electric vehicle adopts various combination modes, and the road section information of a road section on which the hybrid electric vehicle runs, and the label of each group of training data is the combination mode and the speed adopted by the hybrid electric vehicle;
inputting each group of training data into the automobile control model, and outputting the classification result of each group of training data;
and calculating the classification result of each group of training data and the loss value between the labels by using the cross entropy loss function, and optimizing the model parameters of the automobile control model according to the loss value corresponding to each group of training data so as to complete the training of the automobile control model.
8. A hybrid vehicle control apparatus, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is configured to acquire traffic information of a current journey, divide the current journey into a plurality of road sections according to the traffic information to obtain road section information of each road section, the traffic information comprises the distribution of vehicles, pedestrians and barriers, the quantity of the vehicles, the pedestrians and the barriers distributed in each road section is different, and the traffic information consists of road section information of each road section;
the second acquisition module is configured to acquire the residual electric quantity and the residual oil quantity of the hybrid electric vehicle and acquire the average energy consumption of the hybrid electric vehicle at various speeds when adopting various combination modes, wherein the combination modes comprise a driving mode and an energy supply mode;
the determining module is configured to determine a combination mode and a speed adopted by the hybrid vehicle in each road section according to the residual electric quantity, the residual oil quantity, road section information of each road section and average energy consumption of the hybrid vehicle in various combination modes at various speeds;
the control module is configured to control the hybrid electric vehicle to finish the current journey according to the combination mode and the speed adopted by the hybrid electric vehicle in each road section.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the method of any one of claims 1 to 7 when executing the computer program.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 7.
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