A method and system for optimizing WLTC operating economy of a plug-in hybrid vehicle

Abstract

The application relates to the field of automobile control and discloses a WLTC (Worldwide Harmonized Light Transient Cycle) working condition economy optimization method and system for a plug-in hybrid vehicle, which realizes targeted adjustment of different scenes by performing real-time driving analysis on the current vehicle and setting a driving mode more in line with the actual driving scene of a user, avoids problems such as too many pure electric working conditions in an ultra-low speed scene and a high speed scene, limited motor assist torque in the high speed scene and engine working in an economic zone outside, and continuously makes the engine work in a higher economic working zone by performing targeted engine state adjustment when the user switches between different driving modes, so that the WLTC working condition economy of the plug-in hybrid vehicle is improved.

Description

TECHNICAL FIELD

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

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

[0003] In the prior art, plug-in hybrid vehicles usually adopt a P2 architecture. At present, the battery pack charging and discharging efficiency of most plug-in hybrid vehicles has certain loss (6%~8%). Therefore, when considering WLTC operating condition economy optimization, 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 operating condition should be reduced as much as possible, and the power generation of the parallel mode should be reduced to achieve the best fuel economy. The general P2 architecture plug-in hybrid vehicle has too much pure electric EV operating condition (the first 600s) in the WLTC operating condition process, which limits the motor assist torque in the super high speed section, causes the engine to work outside the economic zone (close to the outer characteristic region), and the engine does not stop during energy recovery but still generates power in parallel, which cannot well guarantee the WLTC operating condition economy.

[0004] Therefore, how to design a WLTC operating condition economy optimization method for a plug-in hybrid vehicle to further improve fuel economy has become a problem to be solved. SUMMARY

[0005] Based on this, the present application provides a WLTC operating condition economy optimization method and system for a plug-in hybrid vehicle. The method sets a driving mode that is more in line with the actual driving scene of the user by performing real-time driving analysis on the current vehicle, realizes targeted adjustment of different scenes, avoids too much pure electric operating condition in the ultra-low speed scene and the high speed scene, and limits the motor assist torque in the high speed scene. The engine works outside the economic zone. The engine state is adjusted when the user switches between different driving modes, so that the engine continuously works in a higher economic working interval. The present application improves the WLTC operating condition economy of the plug-in hybrid vehicle.

[0006] The WLTC operating condition economy optimization method for a plug-in hybrid vehicle provided by the present application comprises the following steps:

[0007] Real-time acquisition and preprocessing of vehicle operating state data of the current vehicle;

[0008] driving analysis is performed according to the vehicle running state data to obtain a driving mode of the current vehicle, 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;

[0009] engine state adjustment is performed according to the driving mode, the engine state adjustment is based on a working condition demand and a torque distribution;

[0010] a result of the engine state adjustment is fed back to a user interface and uploaded to a cloud database.

[0011] In summary, according to the WLTC working condition economy optimization method of the plug-in hybrid vehicle, real-time driving analysis is performed on the current vehicle, a driving mode setting that is more in line with the actual driving scene of the user is performed, targeted adjustment of different scenes is realized, the problem of too many pure electric working conditions in the ultra-low speed scene and the high speed scene, the limited motor assist torque in the high speed scene, and the engine working outside the economic zone is avoided, the engine is continuously worked in a higher economic working interval through targeted engine state adjustment when the user switches between different driving modes, and the WLTC working condition economy of the plug-in hybrid vehicle is improved. Specifically, vehicle running state data of the current vehicle is collected in real time and preprocessed to obtain more accurate data, providing a more real data basis for driving analysis, driving analysis is performed according to the vehicle running state data to obtain a driving mode of the current vehicle, 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, targeted adjustment of different scenes is realized, the problem of too many pure electric working conditions in the ultra-low speed scene and the high speed scene, the limited motor assist torque in the high speed scene, and the engine working outside the economic zone is avoided, engine state adjustment is performed according to the driving mode, the engine state adjustment is based on a working condition demand and a torque distribution, targeted engine state adjustment is performed, the engine is continuously worked in a higher economic working interval, a result of the engine state adjustment is fed back to a user interface and uploaded to a cloud database, and the WLTC working condition economy of the plug-in hybrid vehicle is improved.

[0012] Further, the step of collecting vehicle running state data of the current vehicle in real time and preprocessing specifically includes:

[0013] a vehicle speed sensor collects a vehicle speed parameter of the current vehicle in real time, and removes noise from the vehicle speed parameter according to a median filtering algorithm to eliminate abnormal interference parameters;

[0014] vehicle running state data is generated according to the vehicle speed parameter after noise removal.

[0015] Further, the step of performing driving analysis according to the vehicle operating state data to obtain the driving mode of the current vehicle specifically comprises:

[0016] determining the driving scene of the current vehicle according to the vehicle operating state data;

[0017] if the vehicle operating state data is less than the preset minimum vehicle speed threshold, it is determined that the current vehicle is in an ultra-low speed driving scene;

[0018] if the vehicle operating state data is greater than or equal to the preset minimum vehicle speed threshold and less than the preset maximum vehicle speed threshold, it is determined that the current vehicle is in a medium speed driving scene;

[0019] if the vehicle operating state data is greater than or equal to the preset maximum vehicle speed threshold, it is determined that the current vehicle is in a high speed driving scene;

[0020] adjusting the driving mode according to the driving scene of the current vehicle.

[0021] Further, the step of adjusting the driving mode according to the driving scene of the current vehicle specifically comprises:

[0022] when it is determined that the current vehicle is in an ultra-low speed driving scene, all 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 driving mode;

[0023] when it is determined that the current vehicle is in a medium speed driving scene, the working condition demand 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 battery charging output and increase power assistance output, so as to adjust the driving mode to an engine power driving mode, if the current vehicle is in an energy demand state, the engine is adjusted to reduce power assistance output and increase battery charging output, so as to adjust the driving mode to an engine charging driving mode;

[0024] when it is determined that the current vehicle is in a high speed driving scene, the engine is adjusted to stop battery charging output and perform power assistance output, so as to adjust the driving mode to an engine full power driving mode.

[0025] Further, the step of adjusting the engine state according to the driving mode specifically comprises:

[0026] adjusting the engine state according to the driving mode;

[0027] when it is detected that the accelerator opening value is less than the preset minimum accelerator opening threshold, all vehicle output torque is allocated to the motor, and the engine is controlled to be stopped;

[0028] When the change value of the accelerator opening degree is detected to be greater than or equal to a preset minimum accelerator opening degree change threshold, the engine is controlled to start, the engine power assistance output is adjusted to increase, and the power assistance output is adjusted according to the change curve of the accelerator opening degree.

[0029] Further, the step of adjusting the power assistance output according to the change curve of the accelerator opening degree further comprises:

[0030] When the battery power parameter of the current vehicle is detected to be less than a preset minimum power threshold, low power feedback warning is performed, and the distribution of the vehicle output torque is adjusted;

[0031] The power assistance output of the engine is adjusted according to the power output curve, and the battery charging output of the engine is simultaneously increased.

[0032] Further, the step of feeding back the result of the engine state adjustment to the user interface and uploading the cloud database comprises:

[0033] 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;

[0034] The visual chart is used for economic analysis, and the economic analysis result is uploaded to the cloud database.

[0035] The application provides a WLTC working condition economy optimization system for a plug-in hybrid vehicle, which comprises:

[0036] A collection module is configured to collect and pre-process vehicle running state data of a current vehicle in real time.

[0037] A driving analysis module is configured to perform 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 comprises a driving state of the vehicle and a driving state of a user.

[0038] An engine adjustment module is configured to perform engine state adjustment according to the driving mode, wherein the engine state adjustment is based on working condition demand and torque distribution.

[0039] A feedback module is configured to feed back a result of the engine state adjustment to a user interface and upload the cloud database.

[0040] The application further provides a storage medium, which stores one or more programs, and the programs are executed by a processor to implement the WLTC working condition economy optimization method for the plug-in hybrid vehicle.

[0041] The application further provides a computer device, which comprises a memory and a processor.

[0042] The memory is used to store a computer program;

[0043] The processor is used to execute the computer program stored in the memory, and the WLTC economic optimization method of the plug-in hybrid vehicle is realized. BRIEF DESCRIPTION OF DRAWINGS

[0044] Figure 1 The flow chart of the WLTC economic optimization method of the plug-in hybrid vehicle for the first embodiment of the present application is shown in the figure;

[0045] Figure 2 The flow chart of the WLTC economic optimization method of the plug-in hybrid vehicle for the second embodiment of the present application is shown in the figure;

[0046] Figure 3 The structure schematic diagram of the WLTC economic optimization method of the plug-in hybrid vehicle for the third embodiment of the present application is shown in the figure.

[0047] The following specific embodiments will further illustrate the present application in combination with the above-mentioned figures. DETAILED DESCRIPTION

[0048] In order to facilitate the understanding of the present application, the present application will be described more fully below with reference to the accompanying drawings. The present application is shown in several embodiments in the drawings. However, the present application can be realized 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 application more thorough and comprehensive.

[0049] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or there can be a middle element. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or there can be a middle element. The terms "vertical", "horizontal", "left", "right" and the like used herein are for illustrative purposes only.

[0050] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs. The terminology used in the description of the present application herein only for the purpose of describing specific embodiments and is not intended to limit the present application. The term "and / or" used herein includes any and all combinations of one or more of the associated listed items.

[0051] Please refer to Figure 1, as shown in the flow chart of the WLTC operating economy optimization method of the plug-in hybrid vehicle model proposed in the first embodiment of the application, the WLTC operating economy optimization method of the plug-in hybrid vehicle model includes steps S01 to S04, wherein:

[0052] Step S01: Real-time acquisition of vehicle operating state data of the current vehicle and preprocessing;

[0053] It should be noted that in this embodiment, the vehicle speed sensor acquires the vehicle speed parameter of the current vehicle in real time, and removes noise from the vehicle speed parameter according to the median filtering algorithm to eliminate abnormal interference parameters.

[0054] According to the vehicle speed parameter after noise removal, the vehicle operating state data is generated.

[0055] Step S02: Driving analysis according to the vehicle operating state data to obtain the driving mode of the current vehicle;

[0056] It should be noted that in this embodiment, the driving scene of the current vehicle is determined according to the vehicle operating state data.

[0057] If the vehicle operating state data is less than the preset minimum vehicle speed threshold, it is determined that the current vehicle is in an ultra-low speed driving scene.

[0058] If the vehicle operating state data is greater than or equal to the preset minimum vehicle speed threshold and less than the preset maximum vehicle speed threshold, it is determined that the current vehicle is in a medium speed driving scene.

[0059] If the vehicle operating state data is greater than or equal to the preset maximum vehicle speed threshold, it is determined that the current vehicle is in a high speed driving scene.

[0060] Adjust the driving mode according to the driving scene of the current vehicle;

[0061] When it is determined that the current vehicle is in an ultra-low speed driving scene, the vehicle output torque is all 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.

[0062] When it is determined that the current vehicle is in a medium speed driving scene, the operating demand 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 battery charging output and increase power assistance output to adjust the driving mode to an engine assistance driving mode. If the current vehicle is in an energy demand state, the engine is adjusted to reduce power assistance output and increase battery charging output to adjust the driving mode to an engine charging driving mode.

[0063] When it is determined that the current vehicle is in a high-speed driving scene, the engine stop battery charging output is adjusted, and the power assistance output is performed to adjust the driving mode to the engine full assistance driving mode.

[0064] Step S03: Adjusting the engine state according to the driving mode;

[0065] It should be noted that in the embodiment, the engine state is adjusted according to the driving mode;

[0066] When it is detected that the accelerator opening value is less than the preset minimum accelerator opening threshold, the vehicle output torque is entirely allocated to the motor, and the engine is controlled to stop;

[0067] When it is detected that the change value of the accelerator opening is greater than or equal to the preset minimum accelerator opening change threshold, the engine is controlled to start, the engine power assistance output is adjusted to increase, and the power assistance output is adjusted according to the change curve of the accelerator opening;

[0068] 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 warning is performed, and the allocation of the vehicle output torque is adjusted;

[0069] The engine power assistance output is adjusted to gradually decrease according to the power output curve, and the battery charging output of the engine is simultaneously increased.

[0070] Step S04: Feedback the result of the engine state adjustment to the user interface and upload to the cloud database;

[0071] It should be noted that in the 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;

[0072] According to the visual chart, an economic analysis is performed, and the economic analysis result is uploaded to the cloud database.

[0073] In summary, according to the WLTC working condition economy optimization method of the plug-in hybrid vehicle, the driving mode setting more in line with the actual driving scene of the user is realized through real-time driving analysis of the current vehicle, the targeted adjustment of different scenes is realized, the problems of too many pure electric working conditions in the ultra-low speed scene and the high speed scene, the limited motor assist torque in the high speed scene, and the engine working outside the economic zone are avoided, and the engine state adjustment is carried out when the user switches between different driving modes, so that the engine continuously works in a higher economic working interval, and the WLTC working condition economy of the plug-in hybrid vehicle is improved. Specifically, the vehicle running state data of the current vehicle is collected in real time and preprocessed to obtain more accurate data, providing a more real data basis for driving analysis, driving analysis is carried out according to the vehicle running state data to obtain the driving mode of the current vehicle, the driving analysis is used to determine the driving scene of the vehicle, and the driving mode is the driving state of the vehicle and the driving state of the user. The targeted adjustment of different scenes is realized, the problems of too many pure electric working conditions in the ultra-low speed scene and the high speed scene, the limited motor assist torque in the high speed scene, and the engine working outside the economic zone are avoided, the engine state adjustment is carried out according to the driving mode, the engine state adjustment is based on working condition demand and torque distribution, and the engine state adjustment is carried out. The engine continuously works in a higher economic working interval, the results of the engine state adjustment are fed back to the user interface and uploaded to the cloud database, and the WLTC working condition economy of the plug-in hybrid vehicle is improved.

[0074] Referring to Figure 2 , it is a flow chart of the WLTC working condition economy optimization method of the plug-in hybrid vehicle according to the second embodiment of the present application. The WLTC working condition economy optimization method of the plug-in hybrid vehicle includes steps S11 to S16, wherein:

[0075] Step S11: The vehicle speed sensor collects the vehicle speed parameter of the current vehicle in real time, removes the noise of the vehicle speed parameter according to the median filtering algorithm, eliminates abnormal interference parameters, and generates vehicle running state data according to the vehicle speed parameter after noise removal;

[0076] Step S12: Determine the driving scene of the current vehicle according to the vehicle running state data. If the vehicle running state data is less than the preset minimum speed threshold, it is determined that the current vehicle is in an ultra-low speed driving scene. If the vehicle running state data is greater than or equal to the preset minimum speed threshold and less than the preset maximum speed threshold, it is determined that the current vehicle is in a medium speed driving scene. If the vehicle running state data is greater than or equal to the preset maximum speed threshold, it is determined that the current vehicle is in a high speed driving scene. The driving mode is adjusted according to the driving scene of the current vehicle;

[0077] It should be noted that the preset minimum vehicle speed threshold in this embodiment is 20 kilometers per hour, and the preset maximum vehicle speed threshold is 80 kilometers per hour.

[0078] Step S13: When it is determined that the current vehicle is in the ultra-low speed driving scene, the vehicle output torque is all allocated to the motor, the engine is controlled to be in the stopped state, the driving mode is adjusted to the pure electric driving mode, when it is determined that the current vehicle is in the medium speed driving scene, the working condition demand of the current vehicle is calculated, and the working state of the engine is adjusted, if the current vehicle is in the power demand state, the engine is adjusted to reduce the battery charging output and increase the power assistance output, so as to adjust the driving mode to the engine power driving mode, if the current vehicle is in the energy demand state, the engine is adjusted to reduce the power assistance 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 the high speed driving scene, the engine is adjusted to stop the battery charging output and carry out the power assistance output, so as to adjust the driving mode to the engine full power driving mode;

[0079] 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, the vehicle output torque is all allocated to the motor, the engine is controlled to be stopped, 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 be started, and the engine is adjusted to increase the power assistance output, and then the power assistance output is adjusted according to the change curve of the throttle opening;

[0080] It should be noted that the preset minimum throttle opening threshold in this embodiment is 10% of the total throttle opening, and the preset minimum throttle opening change threshold is 10% of the total throttle opening.

[0081] 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 warning is carried out, the distribution of the vehicle output torque is adjusted, the engine power assistance output is adjusted to be slowly reduced according to the power output curve, and the battery charging output of the engine is simultaneously increased;

[0082] It should be noted that the preset minimum power threshold in this embodiment is 20% of the total battery power.

[0083] Step S16: Feedback engine state adjustment result message, and generate a visual chart on a 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 a cloud database.

[0084] In summary, according to the WLTC working condition economy optimization method of the plug-in hybrid vehicle, the driving mode setting more in line with the actual driving scene of the user is realized through real-time driving analysis of the current vehicle, the targeted adjustment of different scenes is realized, the problems of too many pure electric working conditions in the ultra-low speed scene and the high speed scene, the limited motor assist torque in the high speed scene, and the engine working outside the economic zone are avoided, the engine state adjustment is carried out when the user switches between different driving modes, the engine continuously works in a higher economic working interval, and the WLTC working condition economy of the plug-in hybrid vehicle is improved. Specifically, the vehicle running state data of the current vehicle is collected in real time and preprocessed to obtain more accurate data, which provides a more real data basis for driving analysis, driving analysis is carried out according to the vehicle running state data to obtain the driving mode of the current vehicle, the driving analysis is used to determine the driving scene of the vehicle, the driving mode is the driving state of the vehicle and the driving state of the user, the targeted adjustment of different scenes is realized, the problems of too many pure electric working conditions in the ultra-low speed scene and the high speed scene, the limited motor assist torque in the high speed scene, and the engine working outside the economic zone are avoided, the engine state adjustment is carried out according to the driving mode, the engine state adjustment is based on working condition demand and torque distribution, the targeted engine state adjustment is carried out, the engine continuously works in a higher economic working interval, the result of the engine state adjustment is fed back to the user interface and uploaded to the cloud database, and the WLTC working condition economy of the plug-in hybrid vehicle is improved.

[0085] Please refer to Figure 3 , which is a structure schematic diagram of the WLTC working condition economy optimization system of the plug-in hybrid vehicle according to the third embodiment of the present application, and the system comprises:

[0086] The acquisition module 10 is used for collecting the vehicle running state data of the current vehicle in real time and pre-processing;

[0087] The driving analysis module 20 is used for driving analysis according to the vehicle running state data to obtain the driving mode of the current vehicle, the driving analysis is used to determine the driving scene of the vehicle, and the driving mode is the driving state of the vehicle and the driving state of the user;

[0088] The engine adjustment module 30 is used for engine state adjustment according to the driving mode, and the engine state adjustment is based on working condition demand and torque distribution;

[0089] The feedback module 40 is used for feeding back the result of the engine state adjustment to the user interface and uploading to the cloud database.

[0090] The application further provides a computer storage medium, which stores one or more programs, and the programs are executed by a processor to implement the method for optimizing WLTC economic performance of the plug-in hybrid vehicle.

[0091] The application further provides a computer device, which comprises 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 method for optimizing WLTC economic performance of the plug-in hybrid vehicle.

[0092] Those skilled in the art can understand that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a list of executable instructions for implementing the logic function, which can be specifically implemented in any computer readable medium for use by or in conjunction with an instruction execution system, device or apparatus, such as a computer-based system, a system including a processor or other system that can fetch and execute instructions from the instruction execution system, device or apparatus. For the purpose of the present description, the "computer readable medium" can be any device that can contain a storage, communication, propagation or transmission of a program for use by or in conjunction with the instruction execution system, device or apparatus.

[0093] More specific examples (a non-exhaustive list) of the computer readable medium include the following: an electrical connection having one or more wires (electrical devices), a portable computer diskette (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium can even be paper or another suitable medium upon which the program is printed, because the program can be electronically obtained, for example, by optical scanning of the paper or other medium, followed by electronic means to obtain, interpret or otherwise process the program to store the interpreted program in a computer memory.

[0094] It should be understood that parts of the application can be implemented in hardware, software, firmware or a combination thereof. In the above-described embodiments, a plurality of 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 in hardware, and as in another embodiment, any of the following technologies known in the art or a combination thereof can be used: discrete logic circuit with logic gate circuit for implementing logic function on data signal, application specific integrated circuit with suitable combination logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) and the like.

[0095] In the description of the present specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0096] The above-described embodiments only express several implementation manners of the present application, which are described in a more specific and detailed manner, but cannot be understood as a limitation on the patent scope of the present application. It should be noted that, for those skilled in the art, several modifications and improvements can be made without departing from the concept of the present application, which are all within the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. A WLTC operating 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 operating state data, wherein the driving analysis is used to determine a driving scenario of the vehicle, thereby obtaining a current driving mode of the vehicle, and adjusting the driving mode based on the current driving scenario of the vehicle; The step of adjusting the driving mode according to the current driving scene of the vehicle specifically includes: When the vehicle is determined to be in an ultra-low-speed driving scenario, all the vehicle output torque is allocated to the motor, the engine is stopped, and the driving mode is adjusted to pure electric drive mode; When it is determined that the current vehicle is in a medium-speed driving scenario, the current vehicle operating condition demand is calculated and the engine operating state 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 assist output to adjust the driving mode to the engine-assisted driving mode. If the current vehicle is in an energy demand state, the engine is adjusted to reduce the power assist output and increase the battery charging output to adjust the driving mode to the engine-charging driving mode. When it is determined that the vehicle is currently in a high-speed driving scenario, the engine is adjusted to stop battery charging output and power assist output is performed to adjust the driving mode to full engine power assist driving mode; adjusting the engine state according to the driving mode, wherein the engine state adjustment is based on working condition requirements and torque distribution; The step of adjusting the engine state according to the driving mode specifically includes: Adjust engine status according to driving mode; When the throttle opening value is detected to be 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; The result of the engine state adjustment is fed back to the user interface and uploaded to the cloud database.

2. The WLTC operating economy optimization method for a plug-in hybrid vehicle according to claim 1, characterized in that: The step of collecting the vehicle operating 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, and removes noise from the vehicle speed parameters according to the median filter algorithm to eliminate abnormal interference parameters; The vehicle running status data is generated according to the vehicle speed parameter after noise removal.

3. The WLTC operating economy optimization method for a plug-in hybrid vehicle according to claim 1, characterized in that: The step of performing driving analysis based on the vehicle operating status data specifically includes: Determine the current driving scenario of the vehicle based on the vehicle operating status data; If the vehicle operating 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 operating 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 operating 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 economy optimization method for a plug-in hybrid vehicle according to claim 1, characterized in that: The step of adjusting the power assist output according to the throttle opening variation curve 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 vehicle output torque; The engine's power assist output is slowly adjusted down according to the power output curve, and the engine's battery charging output is simultaneously increased.

5. The WLTC operating 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 based on 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.

6. A WLTC operating economy optimization system for plug-in hybrid vehicles, 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, configured to perform driving analysis based on the vehicle operating state data, wherein the driving analysis is used to determine a driving scenario of the vehicle, thereby obtaining a current driving mode of the vehicle, and adjusting the driving mode based on the current driving scenario of the vehicle; The step of adjusting the driving mode according to the current driving scene of the vehicle specifically includes: When the vehicle is determined to be in an ultra-low-speed driving scenario, all the vehicle output torque is allocated to the motor, the engine is stopped, and the driving mode is adjusted to pure electric drive mode; When it is determined that the current vehicle is in a medium-speed driving scenario, the current vehicle operating condition demand is calculated and the engine operating state 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 assist output to adjust the driving mode to the engine-assisted driving mode. If the current vehicle is in an energy demand state, the engine is adjusted to reduce the power assist output and increase the battery charging output to adjust the driving mode to the engine-charging driving mode. When it is determined that the vehicle is currently in a high-speed driving scenario, the engine is adjusted to stop battery charging output and power assist output is performed to adjust the driving mode to full engine power assist driving mode; 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 step of adjusting the engine state according to the driving mode specifically includes: Adjust engine status according to driving mode; When the throttle opening value is detected to be 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; 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.

7. 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 5.

8. 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, it implements the WLTC operating economy optimization method for a plug-in hybrid vehicle model according to any one of claims 1 to 5.

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