WLTC working condition economical efficiency optimization method and system for plug-in hybrid power vehicle model

Abstract

The invention relates to the field of automobile control, and provides a WLTC working condition economical efficiency optimization method and system for a plug-in hybrid vehicle, and aims to realize targeted adjustment of different scenes by performing real-time driving analysis on a current vehicle and performing driving mode setting more in line with an actual driving scene of a user. The problems that pure electric working conditions generated in an ultra-low-speed scene and a high-speed scene are too many, the motor assisting torque in the high-speed scene is limited, and an engine works outside an economic zone are solved, and when a user switches between different driving modes, targeted engine state adjustment is carried out, so that the user experience is improved. By means of the method, the WLTC working condition economical efficiency of the plug-in hybrid power vehicle is improved.

Description

Technical Field

[0001] The present invention relates to the field of automobile control, and in particular to a method and system for optimizing the WLTC operating condition economy of a plug-in hybrid vehicle. Background Art

[0002] With the rapid development of the automobile industry, plug-in hybrid models have gradually become one of the mainstream new energy vehicle models. Compared with traditional fuel vehicles, plug-in hybrid models usually have better fuel economy, so fuel economy has become one of the important indicators of plug-in hybrid models.

[0003] In the existing technology, plug-in hybrid vehicles usually adopt the P2 architecture. At present, most battery packs of plug-in hybrid vehicles have certain losses in charging and discharging efficiency (6%~8%). Therefore, when considering the economic optimization of WLTC conditions, the parallel mode power generation should be considered and planned. While ensuring that the engine can operate at the best economic torque, the pure electric condition should be reduced as much as possible. At the same time, the power generation of the parallel mode is reduced to achieve the best fuel economy. General P2 architecture plug-in hybrid vehicles have too many pure electric EV conditions during the WLTC condition (the first 600s), resulting in limited motor assist torque in the ultra-high speed section, the engine operating outside the economic zone (close to the outer characteristic area), and the engine is not shut down during energy recovery and is still generating electricity in parallel, which cannot well guarantee the WLTC condition economy.

[0004] Therefore, how to design a WLTC operating economy optimization method for plug-in hybrid vehicles to further improve fuel economy has become an urgent problem to be solved. Summary of the invention

[0005] Based on this, the present invention proposes a method and system for optimizing the WLTC operating condition economy of a plug-in hybrid vehicle type. By performing real-time driving analysis on the current vehicle, a driving mode setting that is more in line with the user's actual driving scenario is performed, thereby achieving targeted adjustment for different scenarios, avoiding the problems of too many pure electric operating conditions in ultra-slow speed scenarios and high-speed scenarios, limited motor assist torque in high-speed scenarios, and the engine operating outside the economic zone. In addition, by performing targeted engine state adjustment when the user switches between different driving modes, the engine continues to operate in a relatively high-economy working range. The present invention improves the WLTC operating condition economy of the plug-in hybrid vehicle type.

[0006] The present invention proposes a WLTC operating condition economy optimization method for a plug-in hybrid vehicle, comprising: Collect the vehicle operation status data of the current vehicle in real time and perform pre-processing; Performing a driving analysis based on the vehicle operation status data to obtain a current driving mode of the vehicle, wherein the driving analysis is used to determine a driving scenario of the vehicle, and the driving mode is a driving state of the vehicle and a driving state of a user; Adjusting the engine state according to the driving mode, the engine state adjustment being based on operating condition requirements and torque distribution; The result of the engine state adjustment is fed back to the user interface and uploaded to the cloud database.

[0007] In summary, according to the above-mentioned WLTC operating condition economy optimization method for a plug-in hybrid vehicle model, by performing real-time driving analysis on the current vehicle, a driving mode setting that is more in line with the user's actual driving scenario is performed, thereby achieving targeted adjustment for different scenarios, avoiding the problems of too many pure electric operating conditions in ultra-low speed scenarios and high-speed scenarios, limited motor assist torque in high-speed scenarios, and the engine operating outside the economic zone. In addition, by performing targeted engine state adjustment when the user switches between different driving modes, the engine continues to operate in a relatively high-economy working range. The present invention improves the WLTC operating condition economy of the plug-in hybrid vehicle model. Specifically, the vehicle operation status data of the current vehicle is collected in real time and preprocessed to obtain more accurate data, providing a more realistic data basis for driving analysis, and driving analysis is performed based on the vehicle operation status data to obtain the driving mode of the current vehicle. The driving analysis is used to determine the driving scenario of the vehicle. The driving mode is the driving status of the vehicle and the driving status of the user, thereby achieving targeted adjustment for different scenarios, avoiding the problems of too many pure electric operating conditions in ultra-low speed scenarios and high-speed scenarios, limited motor assist torque in high-speed scenarios, and the engine operating outside the economic zone. The engine state is adjusted according to the driving mode. The engine state adjustment is based on the operating condition requirements and torque distribution, and performs targeted engine state adjustment, so that the engine continues to operate in a relatively economical working range. The result of the engine state adjustment is fed back to the user interface and uploaded to the cloud database. The present invention improves the WLTC operating economy of plug-in hybrid vehicles.

[0008] Furthermore, the step of collecting the vehicle running status data of the current vehicle in real time and performing preprocessing specifically includes: The vehicle speed sensor collects the vehicle speed parameters of the current vehicle in real time, removes noise from the vehicle speed parameters according to the median filtering algorithm, and eliminates abnormal interference parameters; The vehicle running status data is generated according to the vehicle speed parameter after noise removal.

[0009] Furthermore, the step of performing driving analysis according to the vehicle operating state data to obtain the current driving mode of the vehicle specifically includes: Determine the current driving scenario of the vehicle based on the vehicle operation status data; If the vehicle running state data is less than a preset minimum vehicle speed threshold, it is determined that the current vehicle is in an ultra-low speed driving scenario; If the vehicle running state data is greater than or equal to a preset minimum vehicle speed threshold and less than a preset maximum vehicle speed threshold, it is determined that the current vehicle is in a medium-speed driving scenario; If the vehicle running state data is greater than or equal to a preset maximum vehicle speed threshold, it is determined that the current vehicle is in a high-speed driving scenario; Adjust the driving mode according to the current driving scenario of the vehicle.

[0010] Furthermore, the step of adjusting the driving mode according to the current driving scene of the vehicle specifically includes: When it is determined that the vehicle is currently in an ultra-low-speed driving scenario, the vehicle output torque is fully allocated to the motor, the engine is controlled to be in a stopped state, and the driving mode is adjusted to a pure electric driving mode; When it is determined that the current vehicle is in a medium-speed driving scenario, the working condition requirement of the current vehicle is calculated, and the working state of the engine is adjusted. If the current vehicle is in a power demand state, the engine is adjusted to reduce the battery charging output and increase the power auxiliary output, so as to adjust the driving mode to the engine power driving mode. If the current vehicle is in an energy demand state, the engine is adjusted to reduce the power auxiliary output and increase the battery charging output, so as to adjust the driving mode to the engine charging driving mode. When it is determined that the current vehicle is in a high-speed driving scenario, the engine is adjusted to stop battery charging output and perform power assist output to adjust the driving mode to the engine full-power driving mode.

[0011] Furthermore, the step of adjusting the engine state according to the driving mode specifically includes: Adjust engine status according to driving mode; When it is detected that the throttle opening value is less than the preset minimum throttle opening threshold, the vehicle output torque is fully distributed to the motor and the engine is controlled to stop; When it is detected that the change value of the throttle opening is greater than or equal to the preset minimum throttle opening change threshold, the engine is controlled to start, and the engine is adjusted to increase the power auxiliary output, and then the power auxiliary output is adjusted according to the throttle opening change curve.

[0012] Furthermore, the step of adjusting the power auxiliary output according to the change curve of the throttle opening degree further includes: When it is detected that the battery power parameter of the current vehicle is less than the preset minimum power threshold, a low-battery feedback alarm is issued to adjust the distribution of the vehicle output torque; The engine's power auxiliary output is slowly adjusted according to the power output curve, and the engine's battery charging output is increased simultaneously.

[0013] Furthermore, the step of feeding back the result of the engine state adjustment to the user interface and uploading it to the cloud database specifically includes: Feedback engine status adjustment result message, and generate a visual chart on the user interface according to the engine status adjustment result message; An economic analysis is performed based on the visual chart, and the economic analysis results are uploaded to a cloud database.

[0014] The present invention proposes a WLTC operating condition economy optimization system for a plug-in hybrid vehicle, comprising: The acquisition module is used to collect the vehicle operation status data of the current vehicle in real time and perform preprocessing; A driving analysis module, used for performing driving analysis according to the vehicle running state data to obtain a driving mode of the current vehicle, wherein the driving analysis is used to determine a driving scene of the vehicle, and the driving mode is a driving state of the vehicle and a driving state of the user; An engine adjustment module, configured to adjust an engine state according to the driving mode, wherein the engine state adjustment is based on operating condition requirements and torque distribution; The feedback module is used to feed back the result of the engine state adjustment to the user interface and upload it to the cloud database.

[0015] The present invention also provides a storage medium, which stores one or more programs. When the programs are executed by a processor, the WLTC operating condition economy optimization method of the plug-in hybrid vehicle model as described above is implemented.

[0016] The present invention also provides a computer device, the computer device comprising a memory and a processor, wherein: The memory is used to store computer programs; When the processor is used to execute the computer program stored in the memory, the WLTC operating condition economy optimization method of the plug-in hybrid vehicle model as described above is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flow chart of the WLTC operating condition economy optimization method for a plug-in hybrid vehicle model proposed in the first embodiment of the present invention; Figure 2 This is a flow chart of a WLTC operating condition economy optimization method for a plug-in hybrid vehicle model proposed in a second embodiment of the present invention; Figure 3 It is a schematic structural diagram of the WLTC operating condition economy optimization method for a plug-in hybrid vehicle type proposed in the third embodiment of the present invention.

[0018] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0019] In order to facilitate understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are provided in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0020] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0022] See also Figure 1 , which is a flow chart of a WLTC operating condition economy optimization method for a plug-in hybrid vehicle model proposed in a first embodiment of the present invention, wherein the WLTC operating condition economy optimization method for a plug-in hybrid vehicle model comprises steps S01 to S04, wherein: Step S01: collecting vehicle running status data of the current vehicle in real time and performing preprocessing; It should be noted that in this embodiment, the vehicle speed sensor collects the vehicle speed parameters of the current vehicle in real time, removes noise from the vehicle speed parameters according to the median filtering algorithm, and eliminates abnormal interference parameters; The vehicle running status data is generated according to the vehicle speed parameter after noise removal.

[0023] Step S02: performing driving analysis according to the vehicle operation status data to obtain the current driving mode of the vehicle; It should be noted that in this embodiment, the current driving scene of the vehicle is determined based on the vehicle running status data; If the vehicle running state data is less than a preset minimum vehicle speed threshold, it is determined that the current vehicle is in an ultra-low speed driving scenario; If the vehicle running state data is greater than or equal to a preset minimum vehicle speed threshold and less than a preset maximum vehicle speed threshold, it is determined that the current vehicle is in a medium-speed driving scenario; If the vehicle running state data is greater than or equal to a preset maximum vehicle speed threshold, it is determined that the current vehicle is in a high-speed driving scenario; Adjust the driving mode according to the current driving scenario of the vehicle; When it is determined that the vehicle is currently in an ultra-low-speed driving scenario, the vehicle output torque is fully allocated to the motor, the engine is controlled to be in a stopped state, and the driving mode is adjusted to a pure electric driving mode; When it is determined that the current vehicle is in a medium-speed driving scenario, the working condition requirement of the current vehicle is calculated, and the working state of the engine is adjusted. If the current vehicle is in a power demand state, the engine is adjusted to reduce the battery charging output and increase the power auxiliary output, so as to adjust the driving mode to the engine power driving mode. If the current vehicle is in an energy demand state, the engine is adjusted to reduce the power auxiliary output and increase the battery charging output, so as to adjust the driving mode to the engine charging driving mode. When it is determined that the current vehicle is in a high-speed driving scenario, the engine is adjusted to stop battery charging output and perform power assist output to adjust the driving mode to the engine full-power driving mode.

[0024] Step S03: adjusting the engine state according to the driving mode; It should be noted that in this embodiment, the engine state is adjusted according to the driving mode; When it is detected that the throttle opening value is less than the preset minimum throttle opening threshold, the vehicle output torque is fully distributed to the motor and the engine is controlled to stop; When it is detected that the change value of the throttle opening is greater than or equal to the preset minimum throttle opening change threshold, the engine is controlled to start, and the engine is adjusted to increase the power auxiliary output, and then the power auxiliary output is adjusted according to the change curve of the throttle opening; When it is detected that the battery power parameter of the current vehicle is less than the preset minimum power threshold, a low-battery feedback alarm is issued to adjust the distribution of the vehicle output torque; The engine's power auxiliary output is slowly adjusted according to the power output curve, and the engine's battery charging output is increased simultaneously.

[0025] Step S04: Feedback the result of engine state adjustment to the user interface and upload it to the cloud database; It should be noted that in this embodiment, the engine state adjustment result message is fed back, and a visual chart is generated on the user interface according to the engine state adjustment result message; An economic analysis is performed based on the visual chart, and the economic analysis results are uploaded to a cloud database.

[0026] In summary, according to the above-mentioned WLTC operating condition economy optimization method for a plug-in hybrid vehicle model, by performing real-time driving analysis on the current vehicle, a driving mode setting that is more in line with the user's actual driving scenario is performed, thereby achieving targeted adjustment for different scenarios, avoiding the problems of too many pure electric operating conditions in ultra-low speed scenarios and high-speed scenarios, limited motor assist torque in high-speed scenarios, and the engine operating outside the economic zone. In addition, by performing targeted engine state adjustment when the user switches between different driving modes, the engine continues to operate in a relatively high-economy working range. The present invention improves the WLTC operating condition economy of the plug-in hybrid vehicle model. Specifically, the vehicle operation status data of the current vehicle is collected in real time and preprocessed to obtain more accurate data, providing a more realistic data basis for driving analysis, and driving analysis is performed based on the vehicle operation status data to obtain the driving mode of the current vehicle. The driving analysis is used to determine the driving scenario of the vehicle. The driving mode is the driving status of the vehicle and the driving status of the user, thereby achieving targeted adjustment for different scenarios, avoiding the problems of too many pure electric operating conditions in ultra-low speed scenarios and high-speed scenarios, limited motor assist torque in high-speed scenarios, and the engine operating outside the economic zone. The engine state is adjusted according to the driving mode. The engine state adjustment is based on the operating condition requirements and torque distribution, and performs targeted engine state adjustment, so that the engine continues to operate in a relatively economical working range. The result of the engine state adjustment is fed back to the user interface and uploaded to the cloud database. The present invention improves the WLTC operating economy of plug-in hybrid vehicles.

[0027] See also Figure 2 , which is a flow chart of a WLTC operating condition economy optimization method for a plug-in hybrid vehicle model proposed in a second embodiment of the present invention, wherein the WLTC operating condition economy optimization method for a plug-in hybrid vehicle model comprises steps S11 to S16, wherein: Step S11: The vehicle speed sensor collects the vehicle speed parameters of the current vehicle in real time, removes noise from the vehicle speed parameters according to the median filtering algorithm, eliminates abnormal interference parameters, and generates vehicle running status data according to the vehicle speed parameters after noise removal; Step S12: judging the driving scene of the current vehicle according to the vehicle running state data; if the vehicle running state data is less than a preset minimum vehicle speed threshold, the current vehicle is judged to be in an ultra-low speed driving scene; if the vehicle running state data is greater than or equal to the preset minimum vehicle speed threshold and less than a preset maximum vehicle speed threshold, the current vehicle is judged to be in a medium speed driving scene; if the vehicle running state data is greater than or equal to the preset maximum vehicle speed threshold, the current vehicle is judged to be in a high speed driving scene, and the driving mode is adjusted according to the driving scene of the current vehicle; It should be noted that in this embodiment, the preset minimum vehicle speed threshold is 20 kilometers per hour, and the preset maximum vehicle speed threshold is 80 kilometers per hour.

[0028] Step S13: when it is determined that the current vehicle is in an ultra-low-speed driving scenario, all the vehicle output torque is allocated to the motor, the engine is controlled to be in a stopped state, and the driving mode is adjusted to a pure electric drive driving mode. When it is determined that the current vehicle is in a medium-speed driving scenario, the working condition requirement of the current vehicle is calculated, and the working state of the engine is adjusted. If the current vehicle is in a power demand state, the engine is adjusted to reduce the battery charging output and increase the power auxiliary output to adjust the driving mode to an engine power-assisted driving mode. If the current vehicle is in an energy demand state, the engine is adjusted to reduce the power auxiliary output and increase the battery charging output to adjust the driving mode to an engine charging driving mode. When it is determined that the current vehicle is in a high-speed driving scenario, the engine is adjusted to stop the battery charging output and perform power auxiliary output to adjust the driving mode to an engine full-power-assisted driving mode. Step S14: adjusting the engine state according to the driving mode. When it is detected that the throttle opening value is less than the preset minimum throttle opening threshold, all the vehicle output torque is allocated to the motor and the engine is controlled to stop. When it is detected that the throttle opening change value is greater than or equal to the preset minimum throttle opening change threshold, the engine is controlled to start and the engine is adjusted to increase the power auxiliary output, and then the power auxiliary output is adjusted according to the throttle opening change curve. It should be noted that in this embodiment, the preset minimum throttle opening threshold is 10% of the total throttle opening, and the preset minimum throttle opening change threshold is 10% of the total throttle opening.

[0029] Step S15: When it is detected that the battery power parameter of the current vehicle is less than the preset minimum power threshold, a low power feedback alarm is issued, the distribution of the vehicle output torque is adjusted, the power auxiliary output of the engine is adjusted to decrease according to the power output curve, and the battery charging output of the engine is increased simultaneously; It should be noted that in this embodiment, the preset minimum power threshold is 20% of the total battery power.

[0030] Step S16: Feedback the engine state adjustment result message, generate a visual chart on the user interface according to the engine state adjustment result message, perform economic analysis according to the visual chart, and upload the economic analysis result to the cloud database.

[0031] In summary, according to the above-mentioned WLTC operating condition economy optimization method for a plug-in hybrid vehicle model, by performing real-time driving analysis on the current vehicle, a driving mode setting that is more in line with the user's actual driving scenario is performed, thereby achieving targeted adjustment for different scenarios, avoiding the problems of too many pure electric operating conditions in ultra-low speed scenarios and high-speed scenarios, limited motor assist torque in high-speed scenarios, and the engine operating outside the economic zone. In addition, by performing targeted engine state adjustment when the user switches between different driving modes, the engine continues to operate in a relatively high-economy working range. The present invention improves the WLTC operating condition economy of the plug-in hybrid vehicle model. Specifically, the vehicle operation status data of the current vehicle is collected in real time and preprocessed to obtain more accurate data, providing a more realistic data basis for driving analysis, and driving analysis is performed based on the vehicle operation status data to obtain the driving mode of the current vehicle. The driving analysis is used to determine the driving scenario of the vehicle. The driving mode is the driving status of the vehicle and the driving status of the user, thereby achieving targeted adjustment for different scenarios, avoiding the problems of too many pure electric operating conditions in ultra-low speed scenarios and high-speed scenarios, limited motor assist torque in high-speed scenarios, and the engine operating outside the economic zone. The engine state is adjusted according to the driving mode. The engine state adjustment is based on the operating condition requirements and torque distribution, and performs targeted engine state adjustment, so that the engine continues to operate in a relatively economical working range. The result of the engine state adjustment is fed back to the user interface and uploaded to the cloud database. The present invention improves the WLTC operating economy of plug-in hybrid vehicles.

[0032] See also Figure 3 , which is a schematic diagram of the structure of the WLTC operating economy optimization system of a plug-in hybrid vehicle model proposed in the third embodiment of the present invention, and the system includes: The acquisition module 10 is used to collect the vehicle operation status data of the current vehicle in real time and perform preprocessing; A driving analysis module 20, configured to perform driving analysis based on the vehicle operation status data to obtain a driving mode of the current vehicle, wherein the driving analysis is used to determine a driving scenario of the vehicle, and the driving mode is a driving state of the vehicle and a driving state of a user; An engine adjustment module 30, configured to adjust an engine state according to the driving mode, wherein the engine state adjustment is based on operating condition requirements and torque distribution; The feedback module 40 is used to feed back the result of the engine state adjustment to the user interface and upload it to the cloud database.

[0033] The present invention also proposes a computer storage medium on which one or more programs are stored, and when the programs are executed by a processor, the WLTC operating condition economy optimization method of the plug-in hybrid vehicle model is implemented.

[0034] The present invention also proposes a computer device, comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to implement the above-mentioned WLTC operating condition economy optimization method for plug-in hybrid vehicles.

[0035] Those skilled in the art will appreciate that the logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For purposes of this specification, "computer-readable medium" may be any device that can contain storage, communication, propagation or transmission of a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0036] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0037] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0038] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0039] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A WLTC operating condition economy optimization method for a plug-in hybrid vehicle, characterized in that: include: Collect the vehicle operation status data of the current vehicle in real time and perform pre-processing; Performing a driving analysis based on the vehicle operation status data to obtain a current driving mode of the vehicle, wherein the driving analysis is used to determine a driving scenario of the vehicle, and the driving mode is a driving state of the vehicle and a driving state of a user; Adjusting the engine state according to the driving mode, the engine state adjustment being based on operating condition requirements and torque distribution; The result of the engine state adjustment is fed back to the user interface and uploaded to the cloud database.

2. The WLTC operating condition economy optimization method for a plug-in hybrid vehicle according to claim 1, characterized in that: The step of collecting the vehicle running status data of the current vehicle in real time and performing preprocessing specifically includes: The vehicle speed sensor collects the vehicle speed parameters of the current vehicle in real time, removes noise from the vehicle speed parameters according to the median filtering algorithm, and eliminates abnormal interference parameters; The vehicle running status data is generated according to the vehicle speed parameter after noise removal.

3. The WLTC operating condition economy optimization method for a plug-in hybrid vehicle according to claim 1, characterized in that: The step of performing driving analysis according to the vehicle running state data to obtain the current driving mode of the vehicle specifically includes: Determine the current driving scenario of the vehicle based on the vehicle operation status data; If the vehicle running state data is less than a preset minimum vehicle speed threshold, it is determined that the current vehicle is in an ultra-low speed driving scenario; If the vehicle running state data is greater than or equal to a preset minimum vehicle speed threshold and less than a preset maximum vehicle speed threshold, it is determined that the current vehicle is in a medium-speed driving scenario; If the vehicle running state data is greater than or equal to a preset maximum vehicle speed threshold, it is determined that the current vehicle is in a high-speed driving scenario; Adjust the driving mode according to the current driving scenario of the vehicle.

4. The WLTC operating condition economy optimization method for a plug-in hybrid vehicle according to claim 3, characterized in that: The step of adjusting the driving mode according to the current driving scene of the vehicle specifically includes: When it is determined that the vehicle is currently in an ultra-low-speed driving scenario, the vehicle output torque is fully allocated to the motor, the engine is controlled to be in a stopped state, and the driving mode is adjusted to a pure electric driving mode; When it is determined that the current vehicle is in a medium-speed driving scenario, the working condition requirement of the current vehicle is calculated, and the working state of the engine is adjusted. If the current vehicle is in a power demand state, the engine is adjusted to reduce the battery charging output and increase the power auxiliary output, so as to adjust the driving mode to the engine power driving mode. If the current vehicle is in an energy demand state, the engine is adjusted to reduce the power auxiliary output and increase the battery charging output, so as to adjust the driving mode to the engine charging driving mode. When it is determined that the current vehicle is in a high-speed driving scenario, the engine is adjusted to stop battery charging output and perform power assist output to adjust the driving mode to the engine full-power driving mode.

5. The WLTC operating condition economy optimization method for a plug-in hybrid vehicle according to claim 1, characterized in that: The step of adjusting the engine state according to the driving mode specifically includes: Adjust engine status according to driving mode; When it is detected that the throttle opening value is less than the preset minimum throttle opening threshold, the vehicle output torque is fully distributed to the motor and the engine is controlled to stop; When it is detected that the change value of the throttle opening is greater than or equal to the preset minimum throttle opening change threshold, the engine is controlled to start, and the engine is adjusted to increase the power auxiliary output, and then the power auxiliary output is adjusted according to the throttle opening change curve.

6. The WLTC operating condition economy optimization method for a plug-in hybrid vehicle according to claim 5, characterized in that: The step of adjusting the power auxiliary output according to the change curve of the throttle opening degree further includes: When it is detected that the battery power parameter of the current vehicle is less than the preset minimum power threshold, a low-battery feedback alarm is issued to adjust the distribution of the vehicle output torque; The engine's power auxiliary output is slowly adjusted according to the power output curve, and the engine's battery charging output is increased simultaneously.

7. The WLTC operating condition economy optimization method for a plug-in hybrid vehicle according to claim 1, characterized in that: The step of feeding back the result of the engine state adjustment to the user interface and uploading it to the cloud database specifically includes: Feedback engine status adjustment result message, and generate a visual chart on the user interface according to the engine status adjustment result message; An economic analysis is performed based on the visual chart, and the economic analysis results are uploaded to a cloud database.

8. A WLTC operating economy optimization system for a plug-in hybrid vehicle, characterized in that: include: The acquisition module is used to collect the vehicle operation status data of the current vehicle in real time and perform preprocessing; A driving analysis module, used for performing driving analysis according to the vehicle running state data to obtain a driving mode of the current vehicle, wherein the driving analysis is used to determine a driving scene of the vehicle, and the driving mode is a driving state of the vehicle and a driving state of the user; An engine adjustment module, configured to adjust an engine state according to the driving mode, wherein the engine state adjustment is based on operating condition requirements and torque distribution; The feedback module is used to feed back the result of the engine state adjustment to the user interface and upload it to the cloud database.

9. A storage medium, characterized in that: The storage medium stores one or more programs, which, when executed by the processor, implement the WLTC operating economy optimization method for a plug-in hybrid vehicle according to any one of claims 1 to 7.

10. A computer device, characterized in that: The computer device comprises a memory and a processor, wherein: The memory is used to store computer programs; When the processor is used to execute the computer program stored in the memory, the WLTC operating condition economy optimization method of the plug-in hybrid vehicle model described in any one of claims 1 to 7 is implemented.

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