Vehicle energy consumption optimization method, device and equipment and computer readable storage medium
By using simulation software to obtain real-time operating parameters and automatically switch driving modes, the problem of high fuel consumption of parallel hybrid models is solved, and the optimization of vehicle energy consumption and reduction of overall vehicle energy consumption are achieved.
Patent Information
- Application Number
- CN202411449525.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-17
- Publication Date
- 2025-01-24
AI Technical Summary
The existing parallel hybrid models have high fuel consumption problems, mainly due to the lack of effective energy consumption optimization methods and simulation methods.
By using the first simulation software to obtain the real-time operating parameters of the vehicle under the target working conditions, and combining it with the second simulation software, the optimal energy consumption driving mode is determined. Specific steps include automatically switching driving modes, such as pure electric driving, parallel driving, series driving, energy recovery driving and standby driving, based on parameters such as accelerator pedal opening, battery pack SOC and vehicle speed.
The optimization of vehicle energy consumption has been achieved, which effectively reduces the energy consumption of the vehicle and solves the problem of higher fuel consumption.
Smart Images
Figure CN119358256A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of vehicle simulation technology, and in particular to a vehicle energy consumption optimization method, device, equipment and computer-readable storage medium. Background Art
[0002] At present, parallel hybrid vehicles are in the early stages of development, and the switching method of their driving modes is still in the early stages of exploration. Users often complain about high fuel consumption. The main reason for the above problems is that there are few energy consumption-related simulation methods and a lack of necessary energy consumption optimization methods.
[0003] Therefore, it is urgent to provide a technical solution to solve the above problems. Summary of the invention
[0004] In view of the above problems, the present application provides a vehicle energy consumption optimization method, device, equipment and computer-readable storage medium to solve the problem of high vehicle energy consumption in the prior art.
[0005] According to one aspect of an embodiment of the present application, a vehicle energy consumption optimization method is provided, the method comprising:
[0006] Using the first simulation software, obtaining the real-time operating parameters of the vehicle under the target operating conditions at the current moment;
[0007] The second simulation software is used to determine the optimal energy consumption driving mode of the vehicle under the target operating condition at the current moment according to the real-time operating parameters.
[0008] In an optional manner, the real-time operating parameters include: accelerator pedal opening, battery pack SOC and vehicle speed; and the step of determining the optimal energy consumption driving mode of the vehicle under the target operating condition at the current moment according to the real-time operating parameters further includes:
[0009] When the accelerator pedal opening is greater than a first opening value and the battery pack SOC is greater than a first SOC value, or, when the accelerator pedal opening is greater than the first opening value, the vehicle speed is not less than a first vehicle speed and the battery pack SOC is less than a second SOC value, or, when the battery pack SOC is not less than the second SOC value, the vehicle is controlled to adopt a pure electric driving mode, and the pure electric driving mode is determined as the optimal energy consumption driving mode; wherein, the pure electric driving mode is: controlling the drive motor to start, the range extender to turn off, and the generator to turn off;
[0010] When the battery pack SOC is not greater than the first SOC value and the vehicle speed is not less than the second vehicle speed, the vehicle is controlled to adopt a parallel driving mode, and the parallel driving mode is determined as the optimal energy consumption driving mode; wherein the parallel driving mode is: controlling the drive motor to start, the range extender to start, and the generator to start, and they are in a parallel state;
[0011] When the battery pack SOC is not greater than the first SOC value and the vehicle speed is less than the second vehicle speed, the vehicle is controlled to adopt a series driving mode, and the series driving mode is determined as the optimal energy consumption driving mode; wherein, the series driving mode is: controlling the drive motor to start, the range extender to start and the generator to start, and they are in a series state.
[0012] In an optional manner, the real-time operating parameter further includes: brake pedal opening; and the step of determining the optimal energy consumption driving mode of the vehicle under the target operating condition at the current moment according to the real-time operating parameter further includes:
[0013] When the brake pedal opening is greater than the first opening value and the vehicle speed is not less than the first vehicle speed, the vehicle is controlled to adopt an energy recovery driving mode, and the energy recovery driving mode is determined as the optimal energy consumption driving mode; wherein the energy recovery driving mode is: controlling the drive motor to reverse drag, the range extender to turn off, and the generator to turn off;
[0014] When the brake pedal opening is greater than the first opening value and the vehicle speed is less than the first vehicle speed, or when the vehicle speed is zero, the vehicle is controlled to adopt a standby driving mode, and the standby driving mode is determined as the optimal energy consumption driving mode; wherein, the standby driving mode is: controlling the drive motor to be turned off, the range extender to be turned off, and the generator to be turned off.
[0015] In an optional manner, the first simulation software is AVL Cruise simulation software, and the second simulation software is Simulink simulation software.
[0016] In an optional manner, the target operating condition is the WLTC-P operating condition.
[0017] According to another aspect of an embodiment of the present application, a vehicle energy consumption optimization device is provided, comprising:
[0018] An acquisition module, used to acquire the real-time operating parameters of the vehicle under the target working condition at the current moment by using the first simulation software;
[0019] The processing module is used to determine the optimal energy consumption driving mode of the vehicle under the target operating condition at the current moment according to the real-time operating parameters using the second simulation software.
[0020] In an optional manner, the real-time operating parameters include: accelerator pedal opening, battery pack SOC and vehicle speed; the processing module is specifically used for:
[0021] When the accelerator pedal opening is greater than a first opening value and the battery pack SOC is greater than a first SOC value, or, when the accelerator pedal opening is greater than the first opening value, the vehicle speed is not less than a first vehicle speed and the battery pack SOC is less than a second SOC value, or, when the battery pack SOC is not less than the second SOC value, the vehicle is controlled to adopt a pure electric driving mode, and the pure electric driving mode is determined as the optimal energy consumption driving mode; wherein, the pure electric driving mode is: controlling the drive motor to start, the range extender to turn off, and the generator to turn off;
[0022] When the battery pack SOC is not greater than the first SOC value and the vehicle speed is not less than the second vehicle speed, the vehicle is controlled to adopt a parallel driving mode, and the parallel driving mode is determined as the optimal energy consumption driving mode; wherein the parallel driving mode is: controlling the drive motor to start, the range extender to start, and the generator to start, and they are in a parallel state;
[0023] When the battery pack SOC is not greater than the first SOC value and the vehicle speed is less than the second vehicle speed, the vehicle is controlled to adopt a series driving mode, and the series driving mode is determined as the optimal energy consumption driving mode; wherein, the series driving mode is: controlling the drive motor to start, the range extender to start and the generator to start, and they are in a series state.
[0024] In an optional manner, the real-time operating parameter further includes: brake pedal opening; and the processing module is further configured to:
[0025] When the brake pedal opening is greater than the first opening value and the vehicle speed is not less than the first vehicle speed, the vehicle is controlled to adopt an energy recovery driving mode, and the energy recovery driving mode is determined as the optimal energy consumption driving mode; wherein the energy recovery driving mode is: controlling the drive motor to reverse drag, the range extender to turn off, and the generator to turn off;
[0026] When the brake pedal opening is greater than the first opening value and the vehicle speed is less than the first vehicle speed, or when the vehicle speed is zero, the vehicle is controlled to adopt a standby driving mode, and the standby driving mode is determined as the optimal energy consumption driving mode; wherein, the standby driving mode is: controlling the drive motor to be turned off, the range extender to be turned off, and the generator to be turned off.
[0027] According to another aspect of an embodiment of the present application, a vehicle energy consumption optimization device is provided, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus;
[0028] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute the operation of the vehicle energy consumption optimization method of the present invention.
[0029] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, wherein the storage medium stores at least one executable instruction, wherein the executable instruction enables a vehicle energy consumption optimization device / equipment to perform operations such as the vehicle energy consumption optimization method of the present invention.
[0030] The embodiment of the present application utilizes a first simulation software to obtain the real-time operating parameters of the vehicle under the target operating conditions at the current moment; and utilizes a second simulation software to determine the optimal energy consumption driving mode of the vehicle under the target operating conditions at the current moment based on the real-time operating parameters. The vehicle energy consumption can be optimized by a joint simulation method, thereby effectively reducing the energy consumption of the entire vehicle.
[0031] The above description is only an overview of the technical solution of the embodiment of the present application. In order to more clearly understand the technical means of the embodiment of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the embodiment of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] The accompanying drawings are only used to illustrate the embodiments and are not to be considered as limiting the present application. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings. In the accompanying drawings:
[0033] Figure 1 A schematic diagram showing a flow chart of a first embodiment of a vehicle energy consumption optimization method provided by the present application;
[0034] Figure 2 A schematic diagram showing a flow chart of a second embodiment of the vehicle energy consumption optimization method provided by the present application;
[0035] Figure 3 A schematic diagram showing the structure of an embodiment of a vehicle energy consumption optimization device provided by the present application;
[0036] Figure 4 A schematic structural diagram of an embodiment of a vehicle energy consumption optimization device provided in the present application is shown. DETAILED DESCRIPTION
[0037] Here, exemplary embodiments will be described in detail, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are only examples of devices and methods consistent with some aspects of the present application as detailed in the attached claims.
[0038] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.
[0039] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.
[0040] The term "multiple" as used in this application refers to two or more than two. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the related objects are in an "or" relationship.
[0041] At present, parallel hybrid vehicles are in the early stages of development, and the switching method of their driving modes is still in the early stages of exploration. Users often complain about high fuel consumption. The main reason for the above problems is that there are few energy consumption-related simulation methods and a lack of necessary energy consumption optimization methods. Based on this:
[0042] Figure 1 The flowchart of the first embodiment of the vehicle energy consumption optimization method provided by the present application is shown, and the method is executed by the vehicle energy consumption optimization device. Figure 1 As shown, the method comprises the following steps:
[0043] Step S110: using the first simulation software to obtain the real-time operating parameters of the vehicle under the target operating conditions at the current moment.
[0044] The vehicle adopts a parallel hybrid model by default, and the target operating condition is WLTC-P by default. The first simulation software is AVL Cruise simulation software, which is used to generate real-time operating parameters according to the target operating condition. The real-time operating parameters include but are not limited to: accelerator pedal opening, brake pedal parameters, battery pack SOC and vehicle speed.
[0045] Specifically, the vehicle energy consumption optimization device uses AVL Cruise simulation software to obtain the real-time operating parameters of the vehicle under the target operating conditions at the current moment.
[0046] Step S120: using the second simulation software, according to the real-time operating parameters, determining the optimal energy consumption driving mode of the vehicle under the target operating condition at the current moment.
[0047] The second simulation software is Simulink simulation software, which is used to realize logical judgment and control. The optimal energy consumption driving mode corresponds to the start / stop / reverse drag of the drive motor, the start / stop of the range extender, and the start / stop of the generator.
[0048] Specifically, the vehicle energy consumption optimization device uses Simulink simulation software to determine the optimal energy consumption driving mode of the vehicle under the target operating conditions at the current moment according to real-time operating parameters.
[0049] The technical solution of this embodiment can optimize the vehicle energy consumption by using a joint simulation method, thereby effectively reducing the energy consumption of the entire vehicle.
[0050] Figure 2 The flowchart of the second embodiment of the vehicle energy consumption optimization method provided by the present application is shown, and the method is executed by the vehicle energy consumption optimization device. Figure 2 As shown, the method comprises the following steps:
[0051] Step S210: using the first simulation software to obtain the real-time operating parameters of the vehicle under the target operating conditions at the current moment.
[0052] Step S221: When the accelerator pedal opening is greater than a first opening value and the battery pack SOC is greater than a first SOC value, or, when the accelerator pedal opening is greater than the first opening value, the vehicle speed is not less than a first vehicle speed and the battery pack SOC is less than a second SOC value, or, when the battery pack SOC is not less than the second SOC value, control the vehicle to adopt a pure electric driving mode, and determine the pure electric driving mode as the optimal energy consumption driving mode.
[0053] Among them, the pure electric driving mode is: control the drive motor to start, the range extender to turn off, and the generator to turn off. The first opening value is set to 0 by default, the first SOC value is set to 20% by default, the first vehicle speed is set to 5km / h by default, and the second SOC value is set to 95% by default. The above parameters can also be adaptively adjusted according to actual conditions, and there is no limit here.
[0054] Step S222: When the battery pack SOC is not greater than the first SOC value and the vehicle speed is not less than a second vehicle speed, the vehicle is controlled to adopt a parallel driving mode, and the parallel driving mode is determined as the optimal energy consumption driving mode.
[0055] The parallel driving mode is: controlling the start of the drive motor, the range extender and the generator, and being in parallel. The first SOC value is set to 20% by default, and the first vehicle speed is set to 60km / h by default. The above parameters can also be adaptively adjusted according to actual conditions, and there is no limit here.
[0056] Step S223: When the battery pack SOC is not greater than the first SOC value and the vehicle speed is less than the second vehicle speed, the vehicle is controlled to adopt a series driving mode, and the series driving mode is determined as the optimal energy consumption driving mode.
[0057] The series driving mode is: controlling the start of the drive motor, the range extender and the generator, and being in a series state. The first SOC value is set to 20% by default, and the first vehicle speed is set to 60km / h by default. The above parameters can also be adaptively adjusted according to actual conditions, and there is no limit here.
[0058] Step S224: When the brake pedal opening is greater than the first opening value and the vehicle speed is not less than the first vehicle speed, the vehicle is controlled to adopt an energy recovery driving mode, and the energy recovery driving mode is determined as the optimal energy consumption driving mode.
[0059] Among them, the energy recovery driving mode is: control the drive motor to reverse drag, the range extender is turned off, and the generator is turned off. The first opening value is set to 0 by default, and the first vehicle speed is set to 5km / h by default. The above parameters can also be adaptively adjusted according to actual conditions, and there is no limit here.
[0060] Step S225: When the brake pedal opening is greater than the first opening value and the vehicle speed is less than the first vehicle speed, or when the vehicle speed is zero, control the vehicle to adopt a standby driving mode, and determine the standby driving mode as the optimal energy consumption driving mode.
[0061] Among them, the standby driving mode is: control the drive motor to be turned off, the range extender to be turned off, and the generator to be turned off. The first opening value is set to 0 by default, and the first vehicle speed is set to 5km / h by default. The above parameters can also be adaptively adjusted according to actual conditions, and there is no limit here.
[0062] It should be noted that AVL Cruise simulation software can also be used to calculate the vehicle's required power and the battery pack output power based on the accelerator pedal opening, brake pedal opening, battery pack SOC and vehicle speed; Simulink simulation software can be used to determine whether the battery pack output power meets the vehicle's required power, determine the driving mode of the vehicle's power system, start the range extender at the right time, and determine whether to use pure electric driving mode, series driving mode, energy recovery driving mode or parallel driving mode based on information such as the accelerator pedal opening, brake pedal opening, battery pack SOC and vehicle speed.
[0063] The technical solution of this embodiment further utilizes the joint simulation method, and according to the correlation between different real-time operating parameters, realizes automatic switching of driving modes, optimizes vehicle energy consumption, and thus effectively reduces the energy consumption of the entire vehicle.
[0064] Figure 3 The schematic diagram of the structure of the embodiment of the vehicle energy consumption optimization device provided by the present application is shown. Figure 3 As shown, the device 300 includes: an acquisition module 310 and a processing module 320.
[0065] The acquisition module 310 is used to acquire the real-time operating parameters of the vehicle under the target operating conditions at the current moment by using the first simulation software;
[0066] The processing module 320 is used to determine the optimal energy consumption driving mode of the vehicle under the target operating condition at the current moment according to the real-time operating parameters using the second simulation software.
[0067] In an optional manner, the real-time operating parameters include: accelerator pedal opening, battery pack SOC and vehicle speed; the processing module is specifically used for:
[0068] When the accelerator pedal opening is greater than a first opening value and the battery pack SOC is greater than a first SOC value, or, when the accelerator pedal opening is greater than the first opening value, the vehicle speed is not less than a first vehicle speed and the battery pack SOC is less than a second SOC value, or, when the battery pack SOC is not less than the second SOC value, the vehicle is controlled to adopt a pure electric driving mode, and the pure electric driving mode is determined as the optimal energy consumption driving mode; wherein, the pure electric driving mode is: controlling the drive motor to start, the range extender to turn off, and the generator to turn off;
[0069] When the battery pack SOC is not greater than the first SOC value and the vehicle speed is not less than the second vehicle speed, the vehicle is controlled to adopt a parallel driving mode, and the parallel driving mode is determined as the optimal energy consumption driving mode; wherein the parallel driving mode is: controlling the drive motor to start, the range extender to start, and the generator to start, and they are in a parallel state;
[0070] When the battery pack SOC is not greater than the first SOC value and the vehicle speed is less than the second vehicle speed, the vehicle is controlled to adopt a series driving mode, and the series driving mode is determined as the optimal energy consumption driving mode; wherein, the series driving mode is: controlling the drive motor to start, the range extender to start and the generator to start, and they are in a series state.
[0071] In an optional manner, the real-time operating parameter further includes: brake pedal opening; and the processing module is further configured to:
[0072] When the brake pedal opening is greater than the first opening value and the vehicle speed is not less than the first vehicle speed, the vehicle is controlled to adopt an energy recovery driving mode, and the energy recovery driving mode is determined as the optimal energy consumption driving mode; wherein the energy recovery driving mode is: controlling the drive motor to reverse drag, the range extender to turn off, and the generator to turn off;
[0073] When the brake pedal opening is greater than the first opening value and the vehicle speed is less than the first vehicle speed, or when the vehicle speed is zero, the vehicle is controlled to adopt a standby driving mode, and the standby driving mode is determined as the optimal energy consumption driving mode; wherein, the standby driving mode is: controlling the drive motor to be turned off, the range extender to be turned off, and the generator to be turned off.
[0074] In an optional manner, the first simulation software is AVL Cruise simulation software, and the second simulation software is Simulink simulation software.
[0075] In an optional manner, the target operating condition is the WLTC-P operating condition.
[0076] The technical solution of this embodiment can optimize the vehicle energy consumption by using a joint simulation method, thereby effectively reducing the energy consumption of the entire vehicle.
[0077] It should be noted that the vehicle energy consumption optimization device provided in the above embodiment and the vehicle energy consumption optimization method provided in the above embodiment belong to the same concept, and the specific manner in which each module and unit performs operations has been described in detail in the method embodiment and will not be repeated here.
[0078] Figure 4 A structural schematic diagram of an embodiment of the vehicle energy consumption optimization device of the present application is shown, which shows a structural schematic diagram of a computer system suitable for implementing the vehicle energy consumption optimization device of the embodiment of the present application. The specific embodiment of the present application does not limit the specific implementation of the vehicle energy consumption optimization device.
[0079] See also Figure 4As shown, the vehicle energy consumption optimization device includes: a controller; a memory for storing one or more programs, and when the one or more programs are executed by the controller, the above-mentioned vehicle energy consumption optimization method is executed.
[0080] Please continue reading Figure 4 As shown, the computer system 500 of the vehicle energy consumption optimization device includes a central processing unit (CPU) 501, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 502 or the program loaded from the storage part 508 to the random access memory (RAM) 503, such as executing the method in the above embodiment. In RAM503, various programs and data required for system operation are also stored. CPU 501, ROM 502 and RAM 503 are connected to each other through bus 504. Input / output (I / O) interface 505 is also connected to bus 504.
[0081] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, a mouse, etc.; an output section 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed so that a computer program read therefrom is installed into the storage section 508 as needed.
[0082] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 509, and / or installed from a removable medium 511. When the computer program is executed by a central processing unit (CPU) 501, various functions defined in the system of the present application are executed.
[0083] Another aspect of the present application further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the vehicle energy consumption optimization method described above is implemented. The computer-readable storage medium may be included in the vehicle energy consumption optimization device described in the above embodiment, or may exist independently without being assembled into the electronic device.
[0084] Another aspect of the present application also provides a computer program product or computer program, which includes at least one executable instruction. When the executable instruction is run on a vehicle energy consumption optimization device / equipment, the vehicle energy consumption optimization device / equipment executes the vehicle energy consumption optimization method as described above.
[0085] The executable instructions can be specifically used to enable the vehicle energy consumption optimization device / apparatus to perform the following operations:
[0086] Using the first simulation software, obtaining the real-time operating parameters of the vehicle under the target operating conditions at the current moment;
[0087] The second simulation software is used to determine the optimal energy consumption driving mode of the vehicle under the target operating condition at the current moment according to the real-time operating parameters.
[0088] In an optional manner, the real-time operating parameters include: accelerator pedal opening, battery pack SOC and vehicle speed; and the step of determining the optimal energy consumption driving mode of the vehicle under the target operating condition at the current moment according to the real-time operating parameters further includes:
[0089] When the accelerator pedal opening is greater than a first opening value and the battery pack SOC is greater than a first SOC value, or, when the accelerator pedal opening is greater than the first opening value, the vehicle speed is not less than a first vehicle speed and the battery pack SOC is less than a second SOC value, or, when the battery pack SOC is not less than the second SOC value, the vehicle is controlled to adopt a pure electric driving mode, and the pure electric driving mode is determined as the optimal energy consumption driving mode; wherein, the pure electric driving mode is: controlling the drive motor to start, the range extender to turn off, and the generator to turn off;
[0090] When the battery pack SOC is not greater than the first SOC value and the vehicle speed is not less than the second vehicle speed, the vehicle is controlled to adopt a parallel driving mode, and the parallel driving mode is determined as the optimal energy consumption driving mode; wherein the parallel driving mode is: controlling the drive motor to start, the range extender to start, and the generator to start, and they are in a parallel state;
[0091] When the battery pack SOC is not greater than the first SOC value and the vehicle speed is less than the second vehicle speed, the vehicle is controlled to adopt a series driving mode, and the series driving mode is determined as the optimal energy consumption driving mode; wherein, the series driving mode is: controlling the drive motor to start, the range extender to start and the generator to start, and they are in a series state.
[0092] In an optional manner, the real-time operating parameter further includes: brake pedal opening; and the step of determining the optimal energy consumption driving mode of the vehicle under the target operating condition at the current moment according to the real-time operating parameter further includes:
[0093] When the brake pedal opening is greater than the first opening value and the vehicle speed is not less than the first vehicle speed, the vehicle is controlled to adopt an energy recovery driving mode, and the energy recovery driving mode is determined as the optimal energy consumption driving mode; wherein the energy recovery driving mode is: controlling the drive motor to reverse drag, the range extender to turn off, and the generator to turn off;
[0094] When the brake pedal opening is greater than the first opening value and the vehicle speed is less than the first vehicle speed, or when the vehicle speed is zero, the vehicle is controlled to adopt a standby driving mode, and the standby driving mode is determined as the optimal energy consumption driving mode; wherein, the standby driving mode is: controlling the drive motor to be turned off, the range extender to be turned off, and the generator to be turned off.
[0095] In an optional manner, the first simulation software is AVL Cruise simulation software, and the second simulation software is Simulink simulation software.
[0096] In an optional manner, the target operating condition is the WLTC-P operating condition.
[0097] The technical solution of this embodiment can optimize the vehicle energy consumption by using a joint simulation method, thereby effectively reducing the energy consumption of the entire vehicle.
[0098] It should be noted that the computer-readable medium shown in the embodiment of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it. In the present application, a computer-readable signal medium can include a data signal propagated in a baseband or as a part of a carrier wave, wherein a computer-readable computer program is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.
[0099] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0100] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.
[0101] According to one aspect of an embodiment of the present application, a computer system is also provided, including a central processing unit (CPU), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) or a program loaded from a storage portion into a random access memory (RAM), such as executing the method in the above embodiment. In RAM, various programs and data required for system operation are also stored. CPU, ROM and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.
[0102] The following components are connected to the I / O interface: an input part including a keyboard, a mouse, etc.; an output part including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage part including a hard disk, etc.; and a communication part including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication part performs communication processing via a network such as the Internet. A drive is also connected to the I / O interface as needed. Removable media, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., are installed on the drive as needed so that the computer program read therefrom is installed into the storage part as needed.
[0103] The above content is only a preferred exemplary embodiment of the present application and is not intended to limit the implementation scheme of the present application. A person skilled in the art can easily make corresponding changes or modifications based on the main concept and spirit of the present application. Therefore, the scope of protection of the present application shall be based on the scope of protection required by the claims.
Claims
1. A vehicle energy consumption optimization method, characterized in that: The method comprises: Using the first simulation software, obtaining the real-time operating parameters of the vehicle under the target operating conditions at the current moment; The second simulation software is used to determine the optimal energy consumption driving mode of the vehicle under the target operating condition at the current moment according to the real-time operating parameters.
2. The method according to claim 1, characterized in that The real-time operating parameters include: accelerator pedal opening, battery pack SOC and vehicle speed; the step of determining the optimal energy consumption driving mode of the vehicle under the target operating condition at the current moment according to the real-time operating parameters further includes: When the accelerator pedal opening is greater than a first opening value and the battery pack SOC is greater than a first SOC value, or, when the accelerator pedal opening is greater than the first opening value, the vehicle speed is not less than a first vehicle speed and the battery pack SOC is less than a second SOC value, or, when the battery pack SOC is not less than the second SOC value, the vehicle is controlled to adopt a pure electric driving mode, and the pure electric driving mode is determined as the optimal energy consumption driving mode; wherein, the pure electric driving mode is: controlling the drive motor to start, the range extender to turn off, and the generator to turn off; When the battery pack SOC is not greater than the first SOC value and the vehicle speed is not less than the second vehicle speed, the vehicle is controlled to adopt a parallel driving mode, and the parallel driving mode is determined as the optimal energy consumption driving mode; wherein the parallel driving mode is: controlling the drive motor to start, the range extender to start, and the generator to start, and they are in a parallel state; When the battery pack SOC is not greater than the first SOC value and the vehicle speed is less than the second vehicle speed, the vehicle is controlled to adopt a series driving mode, and the series driving mode is determined as the optimal energy consumption driving mode; wherein, the series driving mode is: controlling the drive motor to start, the range extender to start and the generator to start, and they are in a series state.
3. The method according to claim 2, characterized in that The real-time operating parameters also include: brake pedal opening; the step of determining the optimal energy consumption driving mode of the vehicle under the target operating condition at the current moment according to the real-time operating parameters further includes: When the brake pedal opening is greater than the first opening value and the vehicle speed is not less than the first vehicle speed, the vehicle is controlled to adopt an energy recovery driving mode, and the energy recovery driving mode is determined as the optimal energy consumption driving mode; wherein the energy recovery driving mode is: controlling the drive motor to reverse drag, the range extender to turn off, and the generator to turn off; When the brake pedal opening is greater than the first opening value and the vehicle speed is less than the first vehicle speed, or when the vehicle speed is zero, the vehicle is controlled to adopt a standby driving mode, and the standby driving mode is determined as the optimal energy consumption driving mode; wherein, the standby driving mode is: controlling the drive motor to be turned off, the range extender to be turned off, and the generator to be turned off.
4. The method according to any one of claims 1 to 3, characterized in that: The first simulation software is AVLCruise simulation software, and the second simulation software is Simulink simulation software.
5. The method according to any one of claims 1 to 3, characterized in that: The target operating condition is the WLTC-P operating condition.
6. A vehicle energy consumption optimization device, characterized in that: include: An acquisition module, used to acquire the real-time operating parameters of the vehicle under the target working condition at the current moment by using the first simulation software; The processing module is used to determine the optimal energy consumption driving mode of the vehicle under the target operating condition at the current moment according to the real-time operating parameters using the second simulation software.
7. The device according to claim 6, characterized in that The real-time operating parameters include: accelerator pedal opening, battery pack SOC and vehicle speed; the processing module is specifically used for: When the accelerator pedal opening is greater than a first opening value and the battery pack SOC is greater than a first SOC value, or, when the accelerator pedal opening is greater than the first opening value, the vehicle speed is not less than a first vehicle speed and the battery pack SOC is less than a second SOC value, or, when the battery pack SOC is greater than the second SOC value, the vehicle is controlled to adopt a pure electric driving mode, and the pure electric driving mode is determined as the optimal energy consumption driving mode; wherein, the pure electric driving mode is: controlling the drive motor to start, the range extender to turn off, and the generator to turn off; When the battery pack SOC is not greater than the first SOC value and the vehicle speed is not less than the second vehicle speed, the vehicle is controlled to adopt a parallel driving mode, and the parallel driving mode is determined as the optimal energy consumption driving mode; wherein the parallel driving mode is: controlling the drive motor to start, the range extender to start, and the generator to start, and they are in a parallel state; When the battery pack SOC is not greater than the first SOC value and the vehicle speed is less than the second vehicle speed, the vehicle is controlled to adopt a series driving mode, and the series driving mode is determined as the optimal energy consumption driving mode; wherein, the series driving mode is: controlling the drive motor to start, the range extender to start and the generator to start, and they are in a series state.
8. The device according to claim 7, characterized in that The real-time operating parameters also include: brake pedal opening; the processing module is also specifically used for: When the brake pedal opening is greater than the first opening value and the vehicle speed is not less than the first vehicle speed, the vehicle is controlled to adopt an energy recovery driving mode, and the energy recovery driving mode is determined as the optimal energy consumption driving mode; wherein the energy recovery driving mode is: controlling the drive motor to reverse drag, the range extender to turn off, and the generator to turn off; When the brake pedal opening is greater than the first opening value and the vehicle speed is less than the first vehicle speed, or when the vehicle speed is zero, the vehicle is controlled to adopt a standby driving mode, and the standby driving mode is determined as the optimal energy consumption driving mode; wherein, the standby driving mode is: controlling the drive motor to be turned off, the range extender to be turned off, and the generator to be turned off.
9. A vehicle energy consumption optimization device, characterized in that: include: Controller; A memory for storing one or more programs, which, when executed by the controller, enables the controller to implement the vehicle energy consumption optimization method described in any one of claims 1 to 5.
10. A computer-readable storage medium, characterized in that: The storage medium stores at least one executable instruction. When the executable instruction is executed on the vehicle energy consumption optimization device / equipment, the vehicle energy consumption optimization device / equipment performs the operation of the vehicle energy consumption optimization method as described in any one of claims 1-5.