A hybrid vehicle energy recovery method and system based on user vehicle status

Abstract

The present invention relates to the field of energy recovery control and proposes a method and system for energy recovery of a hybrid vehicle based on the user's vehicle state. The method sets a basic energy recovery strength based on the vehicle's current actual state, avoiding setting the basic energy recovery strength based on the vehicle model to meet the actual energy recovery needs of a hybrid truck under different states of no load and full load. The method then dynamically adjusts the vehicle's energy recovery strength in a targeted manner based on different driving scenarios by judging different driving modes, avoiding misalignment between the vehicle's energy recovery strength and the driving mode change. The present invention improves the efficiency and safety of energy recovery in hybrid vehicles.

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 status. Background Art

[0002] With the rapid development of the automobile industry, hybrid vehicles 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 feature of hybrid vehicles is the energy recovery function. As one of the core functions of hybrid vehicles, energy recovery can significantly improve the vehicle's fuel economy and overall energy efficiency.

[0003] In the existing technology, energy recovery is usually performed by setting a fixed energy recovery intensity. The overall energy recovery plan is relatively fixed and difficult to adapt to the 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 in special circumstances and causes safety accidents. 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 hybrid vehicle energy recovery method and system based on the user's vehicle status. The method 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. Then, by judging different driving modes, the vehicle energy recovery strength is dynamically adjusted in a targeted manner according to different driving scenarios, avoiding the misalignment between the vehicle energy recovery strength and the driving mode change. The present invention improves the efficiency and safety of hybrid vehicle energy recovery.

[0006] The present invention proposes a method for recovering energy from a hybrid vehicle based on the user's vehicle status, comprising:

[0007] When the vehicle is powered on, real-time vehicle operation status data and vehicle comprehensive status data are collected and pre-processed. The vehicle comprehensive status data includes vehicle weight parameters, battery power parameters, and vehicle tire pressure parameters;

[0008] 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;

[0009] Determining a driving mode based on the vehicle operating status 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;

[0010] 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.

[0011] 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 setting of 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. 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 and the driving mode change. The present invention improves the efficiency and safety of energy recovery in hybrid vehicles. Specifically, when the vehicle is powered on, real-time vehicle operating status data and comprehensive vehicle status data are collected and preprocessed. The comprehensive vehicle status data includes vehicle weight parameters, battery charge parameters, and tire pressure parameters, avoiding the influence of abnormal data and providing a basis for accurately setting the energy recovery strength of the current vehicle. Basic energy recovery adjustment is performed based on the comprehensive vehicle status data. The basic energy recovery adjustment is used to set a basic vehicle energy recovery strength, avoiding the limitation of setting a fixed energy recovery strength for a fixed vehicle model. Different basic energy recovery strengths are set for different vehicle states in actual truck usage scenarios. Driving mode judgment is performed based on the vehicle operating status data to perform dynamic energy recovery adjustment. The driving mode judgment is used to analyze user driving behavior. The dynamic energy recovery adjustment is used to correct the vehicle energy recovery strength. The energy recovery strength is dynamically adjusted based on the actual driving mode and different driving scenarios to avoid misalignment between driving mode and energy recovery strength. A final energy recovery adjustment result is generated based on the basic energy recovery adjustment and the dynamic energy recovery adjustment and fed back to the user interface. The present invention improves the efficiency and safety of energy recovery in hybrid vehicles.

[0012] 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 pre-processing specifically includes:

[0013] 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 operating status data;

[0014] Obtaining vehicle weight parameters according to a weight sensor, wherein the vehicle weight parameters include a cab load parameter and a cargo box load parameter;

[0015] Obtain battery power parameters based on the battery sensor;

[0016] Obtain vehicle tire pressure parameters according to the tire pressure sensor;

[0017] Abnormal value 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.

[0018] Furthermore, the step of performing basic energy recovery adjustment according to the comprehensive vehicle status data specifically includes:

[0019] Energy recovery demand is determined based on vehicle weight parameters and battery power parameters in the vehicle comprehensive status data;

[0020] 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, the vehicle is determined to be in an insufficient energy recovery state, a current vehicle load energy difference is calculated, and the vehicle energy recovery strength is enhanced according to the load energy difference;

[0021] Energy recovery safety assessment based on vehicle tire pressure parameters in comprehensive vehicle status data;

[0022] 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.

[0023] Furthermore, the step of determining the driving mode based on the vehicle operating state data to perform dynamic energy recovery adjustment specifically includes:

[0024] Obtain the current vehicle's driving road condition information based on the navigation positioning module;

[0025] Then, a driving scene judgment is performed based on the driving road condition information;

[0026] If the current driving situation is determined to be in an urban area, a positive correction judgment for energy recovery is made based on the vehicle operating status data;

[0027] If the vehicle is determined to be in a low-speed, frequent braking state, the regenerative torque is adjusted to a preset high torque threshold to enhance the vehicle's energy recovery.

[0028] If it is determined that the current driving situation is high-speed, a negative correction judgment of energy recovery is made based on the vehicle operating status data;

[0029] 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's energy recovery strength.

[0030] Furthermore, the step of determining the driving scene based on the driving road condition information further includes:

[0031] Make driving scenario judgments based on road condition information;

[0032] If it is determined that the vehicle is currently on a long downhill slope, dynamic correction of energy recovery will be performed based on the vehicle's operating status data;

[0033] Calculating a current change in vehicle acceleration, and if the change in acceleration is greater than or equal to a preset long downhill safety acceleration threshold, adjusting the regenerative torque to a preset high torque threshold to enhance vehicle energy recovery;

[0034] Then, the battery acceptance is judged based on the battery power parameters in the vehicle's comprehensive status data;

[0035] If the battery power parameter is within a preset safety power threshold, it is determined that the current vehicle battery is in an acceptable state to maintain the vehicle energy recovery strength;

[0036] 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.

[0037] Furthermore, the step of determining the driving scene based on the driving road condition information further includes:

[0038] If the vehicle is determined to be in a slippery situation involving ice and snow, the vehicle will predict the slipping state based on the inertial sensor and the vehicle body stabilizer to obtain the maximum braking force for slipping.

[0039] The recovery torque is adjusted according to the slip limit braking force to weaken the vehicle energy recovery force.

[0040] 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:

[0041] Generates voice for the current driving scenario and issues a driving risk warning if the current driving scenario is a long downhill mountain road or a slippery ice and snow scene;

[0042] Generate vehicle energy recovery intensity message, record it in the vehicle database, and display the adjustment results of dynamic energy recovery adjustment in the user interface text;

[0043] When a voice command or electronic control command to terminate the adjustment is detected, the current dynamic energy recovery adjustment operation is canceled.

[0044] The present invention proposes an energy recovery system for a hybrid vehicle based on the user's vehicle status, comprising:

[0045] The acquisition module is used to collect and pre-process the vehicle's operating status data and comprehensive vehicle status data in real time when the vehicle is powered on. The comprehensive vehicle status data includes vehicle weight parameters, battery power parameters, and tire pressure parameters;

[0046] a basic adjustment module, configured to perform basic energy recovery adjustment based on the comprehensive vehicle status data, wherein the basic energy recovery adjustment is used to set a basic vehicle energy recovery strength;

[0047] a dynamic adjustment module, configured to determine a driving mode based on the vehicle operating status 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 modify the vehicle's energy recovery strength;

[0048] 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 the final energy recovery regulation result back to the user interface.

[0049] The present invention also provides a storage medium storing one or more programs, which, when executed by a processor, implement the above-mentioned method for energy recovery of a hybrid vehicle based on the user's vehicle status.

[0050] The present invention further provides a computer device, comprising a memory and a processor, wherein:

[0051] The memory is used to store computer programs;

[0052] When the processor is used to execute the computer program stored in the memory, it implements the above-mentioned energy recovery method for the hybrid vehicle based on the user's vehicle status. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 This is a flow chart of the energy recovery method for a hybrid vehicle based on the user's vehicle status proposed in the first embodiment of the present invention;

[0054] Figure 2 This is a flow chart of a method for energy recovery of a hybrid vehicle based on a user's vehicle status, proposed in a second embodiment of the present invention;

[0055] Figure 3 This is a schematic structural diagram of an energy recovery system for a hybrid vehicle based on the user's vehicle status, proposed in the third embodiment of the present invention.

[0056] The following specific embodiments will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0057] To facilitate understanding of the present invention, the present invention will be described more fully below with reference to the accompanying drawings. The drawings illustrate several embodiments of the present invention. However, the present invention may be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and comprehensive understanding of the present invention.

[0058] 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 an intermediate element. When an element is referred to as being "connected to" another element, it may be directly connected to the other element or there may be an intermediate element. The terms "vertical," "horizontal," "left," "right," and similar expressions used herein are for illustrative purposes only.

[0059] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one skilled in the art to which this invention pertains. The terms used in this specification of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0060] See also Figure 1 , which is a flow chart of a method for energy recovery based on a user's vehicle state for a hybrid vehicle according to a first embodiment of the present invention, includes steps S01 to S04, wherein:

[0061] Step S01: When the vehicle is powered on, real-time vehicle operation status data and vehicle comprehensive status data are collected and pre-processed;

[0062] 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 operating status data;

[0063] Obtaining vehicle weight parameters according to a weight sensor, wherein the vehicle weight parameters include a cab load parameter and a cargo box load parameter;

[0064] Obtain battery power parameters based on the battery sensor;

[0065] Obtain vehicle tire pressure parameters according to the tire pressure sensor;

[0066] Abnormal value 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.

[0067] Step S02: performing basic energy recovery adjustment according to comprehensive vehicle status data;

[0068] It should be noted that in this embodiment, the energy recovery demand is determined based on the vehicle weight parameter and battery power parameter in the vehicle comprehensive status data;

[0069] 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, the vehicle is determined to be in an insufficient energy recovery state, a current vehicle load energy difference is calculated, and the vehicle energy recovery strength is enhanced according to the load energy difference;

[0070] Energy recovery safety assessment based on vehicle tire pressure parameters in comprehensive vehicle status data;

[0071] 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.

[0072] Step S03: determining a driving mode based on the vehicle operating state data to perform dynamic energy recovery adjustment;

[0073] It should be noted that in this embodiment, the current vehicle driving road condition information is obtained based on the navigation positioning module;

[0074] Then, a driving scene judgment is performed based on the driving road condition information;

[0075] If the current driving situation is determined to be in an urban area, a positive correction judgment for energy recovery is made based on the vehicle operating status data;

[0076] If the vehicle is determined to be in a low-speed, frequent braking state, the regenerative torque is adjusted to a preset high torque threshold to enhance the vehicle's energy recovery.

[0077] If it is determined that the current driving situation is high-speed, a negative correction judgment of energy recovery is made based on the vehicle operating status data;

[0078] If it is determined that the vehicle is currently in a high-speed, rarely braking state, the regenerative torque is adjusted to a preset low torque threshold to reduce the vehicle's energy recovery strength;

[0079] Make driving scenario judgments based on road condition information;

[0080] If it is determined that the vehicle is currently on a long downhill slope, dynamic correction of energy recovery will be performed based on the vehicle's operating status data;

[0081] Calculating a current change in vehicle acceleration, and if the change in acceleration is greater than or equal to a preset long downhill safety acceleration threshold, adjusting the regenerative torque to a preset high torque threshold to enhance vehicle energy recovery;

[0082] Then, the battery acceptance is judged based on the battery power parameters in the vehicle's comprehensive status data;

[0083] If the battery power parameter is within a preset safety power threshold, it is determined that the current vehicle battery is in an acceptable state to maintain the vehicle energy recovery strength;

[0084] If the battery power parameter is not within the preset safe power threshold, it is determined that the current vehicle battery is in an unacceptable state, so as to reduce the vehicle energy recovery strength;

[0085] If the vehicle is determined to be in a slippery situation involving ice and snow, the vehicle will predict the slipping state based on the inertial sensor and the vehicle body stabilizer to obtain the maximum braking force for slipping.

[0086] The recovery torque is adjusted according to the slip limit braking force to weaken the vehicle energy recovery force.

[0087] Step S04: generating a final energy recovery adjustment result according to the basic energy recovery adjustment and the dynamic energy recovery adjustment, and feeding it back to the user interface;

[0088] It should be noted that in this embodiment, the current driving scene voice is generated. 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;

[0089] Generate vehicle energy recovery intensity message, record it in the vehicle database, and display the adjustment results of dynamic energy recovery adjustment in the user interface text;

[0090] When a voice command or electronic control command to terminate the adjustment is detected, the current dynamic energy recovery adjustment operation is canceled.

[0091] 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 setting of 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. 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 and the driving mode change. The present invention improves the efficiency and safety of energy recovery in hybrid vehicles. Specifically, when the vehicle is powered on, real-time vehicle operating status data and comprehensive vehicle status data are collected and preprocessed. The comprehensive vehicle status data includes vehicle weight parameters, battery charge parameters, and tire pressure parameters, avoiding the influence of abnormal data and providing a basis for accurately setting the energy recovery strength of the current vehicle. Basic energy recovery adjustment is performed based on the comprehensive vehicle status data. The basic energy recovery adjustment is used to set a basic vehicle energy recovery strength, avoiding the limitation of setting a fixed energy recovery strength for a fixed vehicle model. Different basic energy recovery strengths are set for different vehicle states in actual truck usage scenarios. Driving mode judgment is performed based on the vehicle operating status data to perform dynamic energy recovery adjustment. The driving mode judgment is used to analyze user driving behavior. The dynamic energy recovery adjustment is used to correct the vehicle energy recovery strength. The energy recovery strength is dynamically adjusted based on the actual driving mode and different driving scenarios to avoid misalignment between driving mode and energy recovery strength. A final energy recovery adjustment result is generated based on the basic energy recovery adjustment and the dynamic energy recovery adjustment and fed back to the user interface. The present invention improves the efficiency and safety of energy recovery in hybrid vehicles.

[0092] See also Figure 2 , which is a flow chart of a method for energy recovery based on a user's vehicle state for a hybrid vehicle according to a second embodiment of the present invention. The method for energy recovery based on a user's vehicle state for a hybrid vehicle includes steps S11 to S16, wherein:

[0093] Step S11: When the vehicle is powered on, a vehicle speed parameter and an engine speed parameter within a first preset time are obtained from the vehicle speed sensor, and the vehicle speed parameter and the engine speed parameter are mean filtered to generate vehicle operating status data. A vehicle weight parameter is obtained from the weight sensor, a battery power parameter is obtained from the battery sensor, and a tire pressure parameter is obtained from the tire pressure sensor. Outlier values ​​are detected and eliminated from the vehicle weight parameter, the battery power parameter, and the tire pressure parameter to generate vehicle comprehensive status data.

[0094] It should be noted that the first preset time in this embodiment is one to five minutes, which corresponds to the average driving mode duration in an urban driving scenario.

[0095] Step S12: Determining energy recovery demand based on the vehicle weight parameter and 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, determining that the vehicle is in an insufficient energy recovery state; calculating the current vehicle load energy difference; and enhancing the vehicle energy recovery strength based on the load energy difference; and determining energy recovery safety based on 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, determining that the vehicle is in an abnormal tire pressure state; calculating the current vehicle tire pressure abnormality difference; and reducing the vehicle energy recovery strength based on the abnormal tire pressure difference;

[0096] 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.

[0097] Step S13: Acquiring the current vehicle driving road condition information based on the navigation positioning module, and then determining the driving scenario based on the driving road condition information. If it is determined that the current vehicle is in an urban driving scenario, a positive energy recovery correction judgment is performed based on the vehicle operating status data. If it is determined that the current vehicle is in a low-speed frequent braking state, the regenerative torque is adjusted to a preset high torque threshold to enhance the vehicle's energy recovery. If it is determined that the current vehicle is in a high-speed driving scenario, a negative energy recovery correction judgment is performed based on the vehicle operating status data. If it is determined that the current vehicle is in a high-speed infrequent braking state, the regenerative torque is adjusted to a preset low torque threshold to weaken the vehicle's energy recovery.

[0098] 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.

[0099] Step S14: Determine the driving scenario based on the driving road condition information. If it is determined that the vehicle is currently in a long downhill mountain road scenario, dynamically correct the energy recovery based on the vehicle operating status data. Calculate the current vehicle acceleration change. If the acceleration change is greater than or equal to a preset long downhill safety acceleration threshold, adjust the recovery torque to a preset high torque threshold to enhance the vehicle's energy recovery. Determine the battery acceptability based on the battery power parameter in the comprehensive vehicle status data. If the battery power parameter is within the preset safety power threshold, determine that the current vehicle battery is in an acceptable state to maintain the vehicle's energy recovery. If the battery power parameter is not within the preset safety power threshold, determine that the current vehicle battery is in an unacceptable state to reduce the vehicle's energy recovery.

[0100] 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. The preset safety power threshold is 15% to 75% of the total battery capacity to comply with the battery acceptance curve and avoid strong energy recovery under extremely high or extremely low power conditions.

[0101] Step S15: If it is determined that the vehicle is currently in a slippery situation on ice and snow, a slip state prediction is performed based on the inertial sensor and the vehicle body stabilizer to obtain a slip limit braking force. The regenerative torque is adjusted based on the slip limit braking force to reduce the vehicle's energy recovery force.

[0102] 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 force 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.

[0103] 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 setting of 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. 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 and the driving mode change. The present invention improves the efficiency and safety of energy recovery in hybrid vehicles. Specifically, when the vehicle is powered on, real-time vehicle operating status data and comprehensive vehicle status data are collected and preprocessed. The comprehensive vehicle status data includes vehicle weight parameters, battery charge parameters, and tire pressure parameters, avoiding the influence of abnormal data and providing a basis for accurately setting the energy recovery strength of the current vehicle. Basic energy recovery adjustment is performed based on the comprehensive vehicle status data. The basic energy recovery adjustment is used to set a basic vehicle energy recovery strength, avoiding the limitation of setting a fixed energy recovery strength for a fixed vehicle model. Different basic energy recovery strengths are set for different vehicle states in actual truck usage scenarios. Driving mode judgment is performed based on the vehicle operating status data to perform dynamic energy recovery adjustment. The driving mode judgment is used to analyze user driving behavior. The dynamic energy recovery adjustment is used to correct the vehicle energy recovery strength. The energy recovery strength is dynamically adjusted based on the actual driving mode and different driving scenarios to avoid misalignment between driving mode and energy recovery strength. A final energy recovery adjustment result is generated based on the basic energy recovery adjustment and the dynamic energy recovery adjustment and fed back to the user interface. The present invention improves the efficiency and safety of energy recovery in hybrid vehicles.

[0104] See also Figure 3 , which is a schematic structural diagram of an energy recovery system for a hybrid vehicle based on the user's vehicle state, according to a third embodiment of the present invention. The system includes:

[0105] 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;

[0106] A basic adjustment module 20 is used to perform 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;

[0107] a dynamic adjustment module 30 for determining a driving mode based on the vehicle operating 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 modify the vehicle's energy recovery strength;

[0108] The feedback module 40 is configured to generate a final energy recovery adjustment result according to the basic energy recovery adjustment and the dynamic energy recovery adjustment, and feed the result back to a user interface.

[0109] The present invention also provides a computer storage medium having one or more programs stored thereon, which, when executed by a processor, implements the above-mentioned energy recovery method for a hybrid vehicle based on the user's vehicle status.

[0110] 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.

[0111] Those skilled in the art will appreciate that the logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device), or in conjunction with such instruction execution system, apparatus, or device. For purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit a program for use by an instruction execution system, apparatus, or device, or in conjunction with such instruction execution system, apparatus, or device.

[0112] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be 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 and then editing, interpreting, or processing it in another suitable manner as necessary, and then storing it in a computer memory.

[0113] It should be understood that various components of the present invention may be implemented using hardware, software, firmware, or a combination thereof. In the aforementioned embodiments, multiple steps or methods may be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one or a combination of the following technologies known in the art may be used: a discrete logic circuit having logic gate circuits for implementing logic functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc.

[0114] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0115] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A method for energy recovery of a hybrid vehicle based on the user's vehicle status, characterized in that: include: When the vehicle is powered on, real-time vehicle operation status data and vehicle comprehensive status data are collected and pre-processed. The vehicle comprehensive status data includes vehicle weight parameters, battery power parameters, and vehicle tire pressure parameters; The step of collecting vehicle operation status data and vehicle comprehensive status data in real time and performing preprocessing when the vehicle is powered on specifically includes: When the vehicle is powered on, the vehicle speed parameter and the engine speed parameter within a 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 operating status data; Obtaining vehicle weight parameters according to a weight sensor, wherein the vehicle weight parameters include a cab load parameter and a cargo box load parameter; Obtain battery power parameters based on the battery sensor; Obtain vehicle tire pressure parameters according to the tire pressure sensor; Performing outlier detection and elimination on the vehicle weight parameter, the battery power parameter, and the vehicle tire pressure parameter to generate comprehensive vehicle status data; 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; The step of performing basic energy recovery adjustment according to the comprehensive vehicle 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, the vehicle is determined to be in an insufficient energy recovery state, a current vehicle load energy difference is calculated, and the vehicle energy recovery strength is enhanced according to the load energy difference; Energy recovery safety assessment based on vehicle tire pressure parameters in comprehensive vehicle status data; If the vehicle tire pressure parameter is not within a 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 reduced according to the abnormal tire pressure difference; Determining a driving mode based on the vehicle operating status 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 step of determining the driving mode based on the vehicle operating state data to perform dynamic energy recovery adjustment specifically includes: Obtain the current vehicle's driving road condition information based on the navigation positioning module; Then, a driving scene judgment is performed based on the driving road condition information; If the current driving situation is determined to be in an urban area, a positive correction judgment for energy recovery is made based on the vehicle operating status data; If the vehicle is determined to be in a low-speed, frequent braking state, the regenerative torque is adjusted to a preset high torque threshold to enhance the vehicle's energy recovery. If it is determined that the current driving situation is high-speed, a negative correction judgment of energy recovery is made based on the vehicle operating status data; If it is determined that the vehicle is currently in a high-speed, rarely braking state, the regenerative torque is adjusted to a preset low torque threshold to reduce 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 determining the driving scene based on the driving road condition information further includes: Make driving scenario judgments based on road condition information; If it is determined that the vehicle is currently on a long downhill slope, dynamic correction of energy recovery will be performed based on the vehicle's operating status data; Calculating a current change in vehicle acceleration, and if the change in acceleration is greater than or equal to a preset long downhill safety acceleration threshold, adjusting the regenerative torque to a preset high torque threshold to enhance vehicle energy recovery; Then, the battery acceptance is judged based on the battery power parameters in the vehicle's comprehensive status data; If the battery power parameter is within a 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.

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 determining the driving scene based on the driving road condition information further includes: If the vehicle is determined to be in a slippery situation involving ice and snow, the vehicle will predict the slipping state based on the inertial sensor and the vehicle body stabilizer to obtain the maximum braking force for slipping. The recovery torque is adjusted according to the slip limit braking force to weaken the vehicle energy recovery force.

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 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: Generates voice for the current driving scenario and issues a driving risk warning if the current driving scenario is a long downhill mountain road or a slippery ice and snow scene; Generate vehicle energy recovery intensity message, record it in the vehicle database, and display the adjustment results of dynamic energy recovery adjustment 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.

5. 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's operating status data and comprehensive vehicle status data in real time when the vehicle is powered on. The comprehensive vehicle status data includes vehicle weight parameters, battery power parameters, and tire pressure parameters; The step of collecting vehicle operation status data and vehicle comprehensive status data in real time and performing preprocessing when the vehicle is powered on specifically includes: When the vehicle is powered on, the vehicle speed parameter and the engine speed parameter within a 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 operating status data; Obtaining vehicle weight parameters according to a weight sensor, wherein the vehicle weight parameters include a cab load parameter and a cargo box load parameter; Obtain battery power parameters based on the battery sensor; Obtain vehicle tire pressure parameters according to the tire pressure sensor; Performing outlier detection and elimination on the vehicle weight parameter, the battery power parameter, and the vehicle tire pressure parameter to generate comprehensive vehicle status data; a basic adjustment module, configured to perform basic energy recovery adjustment based on the comprehensive vehicle status data, wherein the basic energy recovery adjustment is used to set a basic vehicle energy recovery strength; The step of performing basic energy recovery adjustment according to the comprehensive vehicle 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, the vehicle is determined to be in an insufficient energy recovery state, a current vehicle load energy difference is calculated, and the vehicle energy recovery strength is enhanced according to the load energy difference; Energy recovery safety assessment based on vehicle tire pressure parameters in comprehensive vehicle status data; If the vehicle tire pressure parameter is not within a 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 reduced according to the abnormal tire pressure difference; a dynamic adjustment module, configured to determine a driving mode based on the vehicle operating status 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 modify the vehicle's energy recovery strength; The step of determining the driving mode based on the vehicle operating state data to perform dynamic energy recovery adjustment specifically includes: Obtain the current vehicle's driving road condition information based on the navigation positioning module; Then, a driving scene judgment is performed based on the driving road condition information; If the current driving situation is determined to be in an urban area, a positive correction judgment for energy recovery is made based on the vehicle operating status data; If the vehicle is determined to be in a low-speed, frequent braking state, the regenerative torque is adjusted to a preset high torque threshold to enhance the vehicle's energy recovery. If it is determined that the current driving situation is high-speed, a negative correction judgment of energy recovery is made based on the vehicle operating status data; If it is determined that the vehicle is currently in a high-speed, rarely braking state, the regenerative torque is adjusted to a preset low torque threshold to reduce 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 the final energy recovery regulation result back to the user interface.

6. 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's vehicle state as described in any one of claims 1 to 4.

7. 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 energy recovery method for a hybrid vehicle based on the user's vehicle state as described in any one of claims 1 to 4.

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