Energy recovery method and system of hybrid electric vehicle based on user vehicle state

Abstract

The invention relates to the field of energy recovery control, and provides a user vehicle state-based energy recovery method and system for a hybrid electric vehicle, which is characterized in that basic energy recovery strength is set through the current actual state of the vehicle, so that the basic energy recovery strength is prevented from being set according to the type of the vehicle; the actual energy recovery requirements of the hybrid truck in different states of no-load and full-load are met, then different driving modes are judged, targeted dynamic adjustment is conducted on the energy recovery strength of the truck according to different driving scenes, and the situation that the energy recovery strength of the truck is misplaced due to changes of the driving modes, so that the energy recovery efficiency of the truck is improved is avoided. According to the invention, the energy recovery efficiency and safety of the hybrid electric vehicle are improved.

Description

Technical Field

[0001] The present invention relates to the field of energy recovery control, and in particular to a method and system for energy recovery of a hybrid vehicle based on a user's vehicle state. Background Art

[0002] With the rapid development of the automobile industry, hybrid models have gradually become one of the mainstream models and are widely used in various fields. Hybrid trucks, in particular, have become a key part of logistics and transportation. A very important function of hybrid models is the energy recovery function. As one of the core functions of hybrid models, energy recovery can significantly improve the fuel economy and overall energy efficiency of the vehicle.

[0003] In the prior art, energy recovery is usually performed by setting a fixed energy recovery intensity. The overall energy recovery solution is relatively fixed and difficult to adapt to various complex scenarios in the actual driving process. It not only leads to poor driving experience and comfort for users, but also affects driving safety and causes safety accidents in special circumstances. The overall energy recovery efficiency and effectiveness are also greatly reduced.

[0004] Therefore, how to design an energy recovery method for hybrid vehicles to meet the user's actual driving scenarios, improve the efficiency of energy recovery, and ensure driving safety 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 energy recovery of a hybrid vehicle based on the user's vehicle status, which sets the basic energy recovery strength according to the current actual state of the vehicle, avoiding setting the basic energy recovery strength according to the vehicle model, so as to meet the actual energy recovery needs of the hybrid truck under different states of no load and full load, and then through judging different driving modes, the vehicle energy recovery strength is dynamically adjusted in a targeted manner for different driving scenarios, avoiding the misalignment between the vehicle energy recovery strength due to changes in driving modes. The present invention improves the efficiency and safety of energy recovery of hybrid vehicles.

[0006] The present invention proposes a method for energy recovery of a hybrid vehicle based on the vehicle state of a user, comprising: When the vehicle is powered on, real-time collection and preprocessing of vehicle operation status data and vehicle comprehensive status data, the vehicle comprehensive status data including vehicle weight parameters, battery power parameters and vehicle tire pressure parameters; Performing basic energy recovery adjustment according to the comprehensive vehicle status data, wherein the basic energy recovery adjustment is used to set a basic vehicle energy recovery strength; Performing driving mode judgment according to the vehicle running state data to perform dynamic energy recovery adjustment, wherein the driving mode judgment is used to analyze the user's driving behavior, and the dynamic energy recovery adjustment is used to correct the vehicle's energy recovery strength; A final energy recovery regulation result is generated according to the basic energy recovery regulation and the dynamic energy recovery regulation, and is fed back to a user interface.

[0007] In summary, according to the above-mentioned energy recovery method for a hybrid vehicle based on the user's vehicle status, the basic energy recovery strength is set according to the current actual state of the vehicle, avoiding the basic energy recovery strength setting according to the vehicle model to meet the actual energy recovery needs of the hybrid truck under different states of no-load and full-load. Then, by judging different driving modes, the vehicle energy recovery strength is dynamically adjusted in a targeted manner for different driving scenarios, avoiding the misalignment between the vehicle energy recovery strength due to changes in driving modes. The present invention improves the efficiency and safety of energy recovery of hybrid vehicles. Specifically, when the whole vehicle is powered on, the vehicle operation status data and the vehicle comprehensive status data are collected in real time and preprocessed, the vehicle comprehensive status data includes vehicle weight parameters, battery power parameters and vehicle tire pressure parameters, avoiding the influence of abnormal data, and providing a basis for accurately setting the energy recovery strength of the current vehicle, and performing basic energy recovery adjustment according to the vehicle comprehensive status data, the basic energy recovery adjustment is used to set the basic vehicle energy recovery strength, avoiding the limitation of setting a fixed energy recovery strength by a fixed vehicle model, and setting different basic energy recovery strengths for different vehicle states according to actual scenarios in the use of trucks, and performing driving mode judgment according to the vehicle operation status data to perform dynamic energy recovery adjustment, the driving mode judgment is used to analyze the user's driving behavior, and the dynamic energy recovery adjustment is used to correct the vehicle energy recovery strength, and according to the actual driving mode, facing different driving scenarios, the energy recovery strength is dynamically adjusted to avoid the misalignment of the driving mode and the energy recovery strength, and the final energy recovery adjustment result is generated according to the basic energy recovery adjustment and the dynamic energy recovery adjustment, and fed back to the user interface, and the present invention improves the efficiency and safety of energy recovery of hybrid vehicles.

[0008] Furthermore, when the vehicle is powered on, the step of collecting the vehicle operation status data and the vehicle comprehensive status data in real time and performing preprocessing specifically includes: When the vehicle is powered on, a vehicle speed parameter and an engine speed parameter within a first preset time are obtained according to a vehicle speed sensor, and the vehicle speed parameter and the engine speed parameter are subjected to mean filtering to generate vehicle running status data; Acquire vehicle weight parameters according to the weight sensor, wherein the vehicle weight parameters include cab load parameters and cargo box load parameters; Obtain battery power parameters according to the battery sensor; Obtain vehicle tire pressure parameters according to tire pressure sensors; Outlier detection and elimination are performed on the vehicle weight parameter, the battery power parameter and the vehicle tire pressure parameter to generate comprehensive vehicle status data.

[0009] Furthermore, the step of performing basic energy recovery adjustment according to the vehicle comprehensive status data specifically includes: Energy recovery demand is determined based on vehicle weight parameters and battery power parameters in the vehicle comprehensive status data; If the vehicle weight parameter is greater than or equal to a preset weight threshold and the battery power parameter is less than a preset power threshold, it is determined that the vehicle is in an insufficient energy recovery state, the current vehicle load energy difference is calculated, and the vehicle energy recovery strength is enhanced according to the load energy difference; Energy recovery safety judgment is made based on the vehicle tire pressure parameters in the vehicle comprehensive status data; If the vehicle tire pressure parameter is not within the preset vehicle tire pressure safety threshold range, the vehicle is determined to be in an abnormal tire pressure state, the abnormal tire pressure difference of the current vehicle is calculated, and the vehicle energy recovery strength is weakened according to the abnormal tire pressure difference.

[0010] Furthermore, the step of determining the driving mode according to the vehicle operating state data to perform dynamic energy recovery adjustment specifically includes: Obtain the current vehicle driving road condition information according to the navigation positioning module; Then, a driving scene judgment is performed according to the driving road condition information; If it is determined that the current driving scene is in an urban area, the energy recovery positive correction judgment is performed based on the vehicle operation status data; If it is determined that the current vehicle is in a low-speed frequent braking state, the recovery torque is adjusted to a preset high torque threshold to enhance the vehicle's energy recovery; If it is determined that the current driving scene is high-speed, the energy recovery negative correction judgment is made based on the vehicle operation status data; If it is determined that the current vehicle is in a high-speed and rarely braking state, the recovery torque is adjusted to a preset low torque threshold to weaken the vehicle's energy recovery strength.

[0011] Furthermore, the step of determining the driving scene according to the driving road condition information further includes: Make driving scene judgment based on driving road condition information; If it is determined that the vehicle is currently in a long downhill mountain road scenario, dynamic correction of energy recovery is performed based on the vehicle operating status data; Calculating the current acceleration change of the vehicle, and if the acceleration change is greater than or equal to a preset long downhill safety acceleration threshold, adjusting the recovery torque to a preset high torque threshold to enhance the vehicle energy recovery; Then, the battery acceptance is judged based on the battery power parameters in the vehicle comprehensive status data; If the battery power parameter is within the preset safety power threshold, it is determined that the current vehicle battery is in an acceptable state to maintain the vehicle energy recovery strength; If the battery power parameter is not within the preset safety power threshold, it is determined that the current vehicle battery is in an unacceptable state, so as to reduce the vehicle energy recovery strength.

[0012] Furthermore, the step of determining the driving scene according to the driving road condition information further includes: If it is determined that the vehicle is currently in a slippery ice and snow scenario, the vehicle will predict the slipping state based on the inertial sensor and the vehicle body stabilizer to obtain the sliding limit braking force. The recovery torque is adjusted according to the sliding limit braking force to weaken the vehicle energy recovery force.

[0013] Furthermore, the step of generating a final energy recovery adjustment result according to the basic energy recovery adjustment and the dynamic energy recovery adjustment, and feeding back the result to the user interface specifically includes: Generate the current driving scene voice, and issue a driving risk warning if the current driving scene is a long downhill mountain road or a slippery ice and snow scene; Generate vehicle energy recovery intensity message and record it in the vehicle database, and display the adjustment result of dynamic energy recovery adjustment in the user interface text; When a voice command or electronic control command to terminate regulation is detected, the current dynamic energy recovery regulation operation is canceled.

[0014] The present invention proposes an energy recovery system for a hybrid vehicle based on the user's vehicle state, comprising: The acquisition module is used to collect and pre-process the vehicle operation status data and the vehicle comprehensive status data in real time when the vehicle is powered on. The vehicle comprehensive status data includes vehicle weight parameters, battery power parameters and vehicle tire pressure parameters; A basic adjustment module, used for performing basic energy recovery adjustment according to the comprehensive vehicle status data, wherein the basic energy recovery adjustment is used for setting a basic vehicle energy recovery strength; A dynamic adjustment module, used to determine the driving mode according to the vehicle running state data to perform dynamic energy recovery adjustment, wherein the driving mode determination is used to analyze the user's driving behavior, and the dynamic energy recovery adjustment is used to correct the vehicle's energy recovery strength; A feedback module is used to generate a final energy recovery regulation result according to the basic energy recovery regulation and the dynamic energy recovery regulation, and feed back the final energy recovery regulation result to a user interface.

[0015] The present invention also provides a storage medium, wherein the storage medium stores one or more programs, and when the programs are executed by a processor, the energy recovery method of the hybrid vehicle based on the user's vehicle state 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 energy recovery method of the hybrid vehicle based on the user's vehicle state as described above is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flow chart of a method for energy recovery of a hybrid vehicle based on a user's vehicle state proposed in a first embodiment of the present invention; Figure 2 A flow chart of a method for energy recovery of a hybrid vehicle based on a user's vehicle state proposed in a second embodiment of the present invention; Figure 3 This is a schematic structural diagram of an energy recovery system for a hybrid vehicle based on a user's vehicle state, according to a 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 method for recovering energy of a hybrid vehicle based on the vehicle state of a user, according to a first embodiment of the present invention. The method for recovering energy of a hybrid vehicle based on the vehicle state of a user comprises steps S01 to S04, wherein: Step S01: when the vehicle is powered on, real-time collection of vehicle operation status data and vehicle comprehensive status data and pre-processing; It should be noted that in this embodiment, when the vehicle is powered on, the vehicle speed parameter and the engine speed parameter within the first preset time are obtained according to the vehicle speed sensor, and the vehicle speed parameter and the engine speed parameter are subjected to mean filtering to generate vehicle running status data; Acquire vehicle weight parameters according to the weight sensor, wherein the vehicle weight parameters include cab load parameters and cargo box load parameters; Obtain battery power parameters according to the battery sensor; Obtain vehicle tire pressure parameters according to tire pressure sensors; Outlier detection and elimination are performed on the vehicle weight parameter, the battery power parameter and the vehicle tire pressure parameter to generate comprehensive vehicle status data.

[0023] Step S02: performing basic energy recovery adjustment according to the comprehensive vehicle status data; It should be noted that in this embodiment, the energy recovery demand is determined based on the vehicle weight parameter and the battery power parameter in the vehicle comprehensive status data; If the vehicle weight parameter is greater than or equal to a preset weight threshold and the battery power parameter is less than a preset power threshold, it is determined that the vehicle is in an insufficient energy recovery state, the current vehicle load energy difference is calculated, and the vehicle energy recovery strength is enhanced according to the load energy difference; Energy recovery safety judgment is made based on the vehicle tire pressure parameters in the vehicle comprehensive status data; If the vehicle tire pressure parameter is not within the preset vehicle tire pressure safety threshold range, the vehicle is determined to be in an abnormal tire pressure state, the abnormal tire pressure difference of the current vehicle is calculated, and the vehicle energy recovery strength is weakened according to the abnormal tire pressure difference.

[0024] Step S03: determining the driving mode according to the vehicle operation status data to perform dynamic energy recovery adjustment; It should be noted that in this embodiment, the current vehicle driving road condition information is obtained according to the navigation positioning module; Then, a driving scene judgment is performed according to the driving road condition information; If it is determined that the current driving scene is in an urban area, the energy recovery positive correction judgment is performed based on the vehicle operation status data; If it is determined that the current vehicle is in a low-speed frequent braking state, the recovery torque is adjusted to a preset high torque threshold to enhance the vehicle's energy recovery; If it is determined that the current driving scene is high-speed, the energy recovery negative correction judgment is made based on the vehicle operation status data; If it is determined that the current vehicle is in a high-speed and rarely braking state, the recovery torque is adjusted to a preset low torque threshold to reduce the vehicle energy recovery strength; Make driving scene judgment based on driving road condition information; If it is determined that the vehicle is currently in a long downhill mountain road scenario, dynamic correction of energy recovery is performed based on the vehicle operating status data; Calculating the current acceleration change of the vehicle, and if the acceleration change is greater than or equal to a preset long downhill safety acceleration threshold, adjusting the recovery torque to a preset high torque threshold to enhance the vehicle energy recovery; Then, the battery acceptance is judged based on the battery power parameters in the vehicle comprehensive status data; If the battery power parameter is within the preset safety power threshold, it is determined that the current vehicle battery is in an acceptable state to maintain the vehicle energy recovery strength; If the battery power parameter is not within the preset safety power threshold, it is determined that the current vehicle battery is in an unacceptable state, so as to reduce the vehicle energy recovery strength; If it is determined that the vehicle is currently in a slippery ice and snow scenario, the vehicle will predict the slipping state based on the inertial sensor and the vehicle body stabilizer to obtain the sliding limit braking force. The recovery torque is adjusted according to the sliding limit braking force to weaken the vehicle energy recovery force.

[0025] Step S04: generating a final energy recovery adjustment result according to the basic energy recovery adjustment and the dynamic energy recovery adjustment, and feeding back the result to the user interface; It should be noted that in this embodiment, the current driving scene voice is generated, and if the current driving scene is a long downhill mountain road scene or a slippery ice and snow scene, a driving risk warning is issued; Generate vehicle energy recovery intensity message and record it in the vehicle database, and display the adjustment result of dynamic energy recovery adjustment in the user interface text; When a voice command or electronic control command to terminate regulation is detected, the current dynamic energy recovery regulation operation is canceled.

[0026] In summary, according to the above-mentioned energy recovery method for a hybrid vehicle based on the user's vehicle status, the basic energy recovery strength is set according to the current actual state of the vehicle, avoiding the basic energy recovery strength setting according to the vehicle model to meet the actual energy recovery needs of the hybrid truck under different states of no-load and full-load. Then, by judging different driving modes, the vehicle energy recovery strength is dynamically adjusted in a targeted manner for different driving scenarios, avoiding the misalignment between the vehicle energy recovery strength due to changes in driving modes. The present invention improves the efficiency and safety of energy recovery of hybrid vehicles. Specifically, when the whole vehicle is powered on, the vehicle operation status data and the vehicle comprehensive status data are collected in real time and preprocessed, the vehicle comprehensive status data includes vehicle weight parameters, battery power parameters and vehicle tire pressure parameters, avoiding the influence of abnormal data, and providing a basis for accurately setting the energy recovery strength of the current vehicle, and performing basic energy recovery adjustment according to the vehicle comprehensive status data, the basic energy recovery adjustment is used to set the basic vehicle energy recovery strength, avoiding the limitation of setting a fixed energy recovery strength by a fixed vehicle model, and setting different basic energy recovery strengths for different vehicle states according to actual scenarios in the use of trucks, and performing driving mode judgment according to the vehicle operation status data to perform dynamic energy recovery adjustment, the driving mode judgment is used to analyze the user's driving behavior, and the dynamic energy recovery adjustment is used to correct the vehicle energy recovery strength, and according to the actual driving mode, facing different driving scenarios, the energy recovery strength is dynamically adjusted to avoid the misalignment of the driving mode and the energy recovery strength, and the final energy recovery adjustment result is generated according to the basic energy recovery adjustment and the dynamic energy recovery adjustment, and fed back to the user interface, and the present invention improves the efficiency and safety of energy recovery of hybrid vehicles.

[0027] See also Figure 2 , which is a flow chart of a method for energy recovery of a hybrid vehicle based on a user's vehicle state according to a second embodiment of the present invention, wherein the method for energy recovery of a hybrid vehicle based on a user's vehicle state comprises steps S11 to S16, wherein: Step S11: when the vehicle is powered on, a vehicle speed parameter and an engine speed parameter within a first preset time are obtained according to a vehicle speed sensor, and the vehicle speed parameter and the engine speed parameter are subjected to mean filtering to generate vehicle operation status data, a vehicle weight parameter is obtained according to a weight sensor, a battery power parameter is obtained according to a battery sensor, and a vehicle tire pressure parameter is obtained according to a tire pressure sensor, and abnormal value detection and elimination are performed on the vehicle weight parameter, the battery power parameter, and the vehicle tire pressure parameter to generate vehicle comprehensive status data; It should be noted that the first preset time in this embodiment is one to five minutes, corresponding to the average driving mode duration in an urban driving scenario.

[0028] Step S12: judging the energy recovery demand according to the vehicle weight parameter and the battery power parameter in the vehicle comprehensive status data; if the vehicle weight parameter is greater than or equal to the preset weight threshold and the battery power parameter is less than the preset power threshold, judging that the vehicle is in an insufficient energy recovery state, calculating the current vehicle load energy difference, enhancing the vehicle energy recovery strength according to the load energy difference, judging energy recovery safety according to the vehicle tire pressure parameter in the vehicle comprehensive status data; if the vehicle tire pressure parameter is not within the preset vehicle tire pressure safety threshold range, judging that the vehicle is in an abnormal tire pressure state, calculating the current vehicle tire pressure abnormality difference, and weakening the vehicle energy recovery strength according to the tire pressure abnormality difference; It should be noted that the preset weight threshold in this embodiment is the rated load weight of the vehicle in the factory settings, and the preset vehicle tire pressure safety threshold range is the standard tire pressure safety threshold range of the current vehicle model.

[0029] Step S13: obtaining the current driving road condition information of the vehicle according to the navigation positioning module, and then judging the driving scene according to the driving road condition information; if it is determined that the current scene is in the urban driving scene, a positive correction judgment of energy recovery is made according to the vehicle operation status data; if it is determined that the current vehicle is in a low-speed frequent braking state, the recovery torque is adjusted to a preset high torque threshold to enhance the vehicle energy recovery strength; if it is determined that the current scene is in a high-speed driving scene, a negative correction judgment of energy recovery is made according to the vehicle operation status data; if it is determined that the current vehicle is in a high-speed and rarely braking state, the recovery torque is adjusted to a preset low torque threshold to weaken the vehicle energy recovery strength; It should be noted that the preset high torque threshold in this embodiment is 0.1-0.05, and the preset low torque threshold is 0.05 to 0.

[0030] Step S14: judging the driving scene according to the driving road condition information. If it is determined that the current scene is a long downhill mountain road, dynamically correcting the energy recovery according to the vehicle running status data, calculating the acceleration change of the current vehicle, and if the acceleration change is greater than or equal to the preset long downhill safety acceleration threshold, adjusting the recovery torque to the preset high torque threshold to enhance the vehicle energy recovery strength, and then judging the battery acceptance according to the battery power parameter in the vehicle comprehensive status data. If the battery power parameter is within the preset safety power threshold, it is determined that the current vehicle battery is in an acceptable state to maintain the vehicle energy recovery strength. If the battery power parameter is not within the preset safety power threshold, it is determined that the current vehicle battery is in an unacceptable state to weaken the vehicle energy recovery strength; It should be noted that the preset long downhill safety acceleration threshold in this embodiment is set according to the long downhill limit braking force when the current vehicle model is fully loaded, and the preset safety power threshold is 15% to 75% of the total battery capacity to meet the battery acceptance curve and avoid strong energy recovery under extremely high or extremely low power conditions.

[0031] Step S15: If it is determined that the vehicle is currently in a slippery ice and snow scenario, a slip state prediction is performed based on the inertial sensor and the vehicle body stabilizer to obtain a sliding limit braking force, and the recovery torque is adjusted based on the sliding limit braking force to reduce the vehicle energy recovery force; Step S16: Generate the current driving scene voice. If the current driving scene is a long downhill mountain road scene or a slippery ice and snow scene, issue a driving risk warning, generate a vehicle energy recovery intensity message, and record it in the vehicle database. The adjustment result of the dynamic energy recovery adjustment is displayed in the user interface text. When a voice command or electronic control command to terminate the adjustment is detected, the current dynamic energy recovery adjustment operation is canceled.

[0032] In summary, according to the above-mentioned energy recovery method for a hybrid vehicle based on the user's vehicle status, the basic energy recovery strength is set according to the current actual state of the vehicle, avoiding the basic energy recovery strength setting according to the vehicle model to meet the actual energy recovery needs of the hybrid truck under different states of no-load and full-load. Then, by judging different driving modes, the vehicle energy recovery strength is dynamically adjusted in a targeted manner for different driving scenarios, avoiding the misalignment between the vehicle energy recovery strength due to changes in driving modes. The present invention improves the efficiency and safety of energy recovery of hybrid vehicles. Specifically, when the whole vehicle is powered on, the vehicle operation status data and the vehicle comprehensive status data are collected in real time and preprocessed, the vehicle comprehensive status data includes vehicle weight parameters, battery power parameters and vehicle tire pressure parameters, avoiding the influence of abnormal data, and providing a basis for accurately setting the energy recovery strength of the current vehicle, and performing basic energy recovery adjustment according to the vehicle comprehensive status data, the basic energy recovery adjustment is used to set the basic vehicle energy recovery strength, avoiding the limitation of setting a fixed energy recovery strength by a fixed vehicle model, and setting different basic energy recovery strengths for different vehicle states according to actual scenarios in the use of trucks, and performing driving mode judgment according to the vehicle operation status data to perform dynamic energy recovery adjustment, the driving mode judgment is used to analyze the user's driving behavior, and the dynamic energy recovery adjustment is used to correct the vehicle energy recovery strength, and according to the actual driving mode, facing different driving scenarios, the energy recovery strength is dynamically adjusted to avoid the misalignment of the driving mode and the energy recovery strength, and the final energy recovery adjustment result is generated according to the basic energy recovery adjustment and the dynamic energy recovery adjustment, and fed back to the user interface, and the present invention improves the efficiency and safety of energy recovery of hybrid vehicles.

[0033] See also Figure 3 , which is a schematic diagram of the structure of an energy recovery system for a hybrid vehicle based on the user vehicle state proposed in the third embodiment of the present invention, the system comprises: The acquisition module 10 is used to collect and pre-process the vehicle operation status data and the vehicle comprehensive status data in real time when the vehicle is powered on. The vehicle comprehensive status data includes vehicle weight parameters, battery power parameters and vehicle tire pressure parameters; A basic adjustment module 20, used for performing basic energy recovery adjustment according to the comprehensive vehicle status data, wherein the basic energy recovery adjustment is used for setting a basic vehicle energy recovery strength; A dynamic adjustment module 30, for determining a driving mode according to the vehicle operation state data to perform dynamic energy recovery adjustment, wherein the driving mode determination is used to analyze the user's driving behavior, and the dynamic energy recovery adjustment is used to correct the vehicle's energy recovery strength; The feedback module 40 is used to generate a final energy recovery regulation result according to the basic energy recovery regulation and the dynamic energy recovery regulation, and feed back the final energy recovery regulation result to the user interface.

[0034] The present invention also provides a computer storage medium on which one or more programs are stored, and when the programs are executed by a processor, the above-mentioned energy recovery method of the hybrid vehicle based on the user's vehicle state is implemented.

[0035] 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 hybrid vehicle energy recovery method based on the user vehicle status.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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 method for energy recovery of a hybrid vehicle based on a user's vehicle state, characterized in that: include: When the vehicle is powered on, real-time collection and preprocessing of vehicle operation status data and vehicle comprehensive status data, the vehicle comprehensive status data including vehicle weight parameters, battery power parameters and vehicle tire pressure parameters; Performing basic energy recovery adjustment according to the comprehensive vehicle status data, wherein the basic energy recovery adjustment is used to set a basic vehicle energy recovery strength; Performing driving mode judgment according to the vehicle running state data to perform dynamic energy recovery adjustment, wherein the driving mode judgment is used to analyze the user's driving behavior, and the dynamic energy recovery adjustment is used to correct the vehicle's energy recovery strength; A final energy recovery regulation result is generated according to the basic energy recovery regulation and the dynamic energy recovery regulation, and is fed back to a user interface.

2. The method for energy recovery of a hybrid vehicle based on the user's vehicle status according to claim 1, characterized in that: The step of collecting vehicle operation status data and vehicle comprehensive status data in real time and preprocessing them when the vehicle is powered on specifically includes: When the vehicle is powered on, a vehicle speed parameter and an engine speed parameter within a first preset time are obtained according to a vehicle speed sensor, and the vehicle speed parameter and the engine speed parameter are subjected to mean filtering to generate vehicle running status data; Acquire vehicle weight parameters according to the weight sensor, wherein the vehicle weight parameters include cab load parameters and cargo box load parameters; Obtain battery power parameters according to the battery sensor; Obtain vehicle tire pressure parameters according to tire pressure sensors; Outlier detection and elimination are performed on the vehicle weight parameter, the battery power parameter and the vehicle tire pressure parameter to generate comprehensive vehicle status data.

3. The method for energy recovery of a hybrid vehicle based on the user's vehicle status according to claim 1, characterized in that: The step of performing basic energy recovery adjustment according to the vehicle comprehensive status data specifically includes: Energy recovery demand is determined based on vehicle weight parameters and battery power parameters in the vehicle comprehensive status data; If the vehicle weight parameter is greater than or equal to a preset weight threshold and the battery power parameter is less than a preset power threshold, it is determined that the vehicle is in an insufficient energy recovery state, the current vehicle load energy difference is calculated, and the vehicle energy recovery strength is enhanced according to the load energy difference; Energy recovery safety judgment is made based on the vehicle tire pressure parameters in the vehicle comprehensive status data; If the vehicle tire pressure parameter is not within the preset vehicle tire pressure safety threshold range, the vehicle is determined to be in an abnormal tire pressure state, the abnormal tire pressure difference of the current vehicle is calculated, and the vehicle energy recovery strength is weakened according to the abnormal tire pressure difference.

4. The method for energy recovery of a hybrid vehicle based on the user's vehicle status according to claim 1, characterized in that: The step of determining the driving mode according to the vehicle running state data to perform dynamic energy recovery adjustment specifically includes: Obtain the current vehicle driving road condition information according to the navigation positioning module; Then, a driving scene judgment is performed according to the driving road condition information; If it is determined that the current driving scene is in an urban area, the energy recovery positive correction judgment is performed based on the vehicle operation status data; If it is determined that the current vehicle is in a low-speed frequent braking state, the recovery torque is adjusted to a preset high torque threshold to enhance the vehicle's energy recovery; If it is determined that the current driving scene is high-speed, the energy recovery negative correction judgment is made based on the vehicle operation status data; If it is determined that the current vehicle is in a high-speed and rarely braking state, the recovery torque is adjusted to a preset low torque threshold to weaken the vehicle's energy recovery strength.

5. The method for energy recovery of a hybrid vehicle based on the user's vehicle status according to claim 4, characterized in that: The step of determining the driving scene according to the driving road condition information further includes: Make driving scene judgment based on driving road condition information; If it is determined that the vehicle is currently in a long downhill mountain road scenario, dynamic correction of energy recovery is performed based on the vehicle operating status data; Calculating the current acceleration change of the vehicle, and if the acceleration change is greater than or equal to a preset long downhill safety acceleration threshold, adjusting the recovery torque to a preset high torque threshold to enhance the vehicle energy recovery; Then, the battery acceptance is judged based on the battery power parameters in the vehicle comprehensive status data; If the battery power parameter is within the preset safety power threshold, it is determined that the current vehicle battery is in an acceptable state to maintain the vehicle energy recovery strength; If the battery power parameter is not within the preset safety power threshold, it is determined that the current vehicle battery is in an unacceptable state, so as to reduce the vehicle energy recovery strength.

6. The method for energy recovery of a hybrid vehicle based on the user's vehicle status according to claim 4, characterized in that: The step of determining the driving scene according to the driving road condition information further includes: If it is determined that the vehicle is currently in a slippery ice and snow scenario, the vehicle will predict the slipping state based on the inertial sensor and the vehicle body stabilizer to obtain the sliding limit braking force. The recovery torque is adjusted according to the sliding limit braking force to weaken the vehicle energy recovery force.

7. The method for energy recovery of a hybrid vehicle based on the user's vehicle status according to claim 1, characterized in that: The step of generating a final energy recovery adjustment result according to the basic energy recovery adjustment and the dynamic energy recovery adjustment, and feeding back the result to the user interface specifically includes: Generate the current driving scene voice, and issue a driving risk warning if the current driving scene is a long downhill mountain road or a slippery ice and snow scene; Generate vehicle energy recovery intensity message and record it in the vehicle database, and display the adjustment result of dynamic energy recovery adjustment in the user interface text; When a voice command or electronic control command to terminate regulation is detected, the current dynamic energy recovery regulation operation is canceled.

8. An energy recovery system for a hybrid vehicle based on the user's vehicle status, characterized in that: include: The acquisition module is used to collect and pre-process the vehicle operation status data and the vehicle comprehensive status data in real time when the vehicle is powered on. The vehicle comprehensive status data includes vehicle weight parameters, battery power parameters and vehicle tire pressure parameters; A basic adjustment module, used for performing basic energy recovery adjustment according to the comprehensive vehicle status data, wherein the basic energy recovery adjustment is used for setting a basic vehicle energy recovery strength; A dynamic adjustment module, used to determine the driving mode according to the vehicle running state data to perform dynamic energy recovery adjustment, wherein the driving mode determination is used to analyze the user's driving behavior, and the dynamic energy recovery adjustment is used to correct the vehicle's energy recovery strength; A feedback module is used to generate a final energy recovery regulation result according to the basic energy recovery regulation and the dynamic energy recovery regulation, and feed back the final energy recovery regulation result to a user interface.

9. A storage medium, characterized in that: The storage medium stores one or more programs, which, when executed by the processor, implement the energy recovery method for a hybrid vehicle based on the user vehicle state as described in 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 energy recovery method for a hybrid vehicle based on the user's vehicle state as described in any one of claims 1 to 7 is implemented.

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