Hybrid vehicle type kinetic energy feedback mode control method and system, vehicle and storage medium

Abstract

The invention discloses a control method for a kinetic energy feedback mode of a hybrid vehicle model, and belongs to the technical field of vehicle kinetic energy feedback, and the control method comprises the steps: obtaining target parameters including the sliding speed of a target vehicle in a driving state, and judging whether the target vehicle enters the kinetic energy feedback mode or not according to the target parameters; if the target vehicle enters the kinetic energy recovery mode, judging whether the target vehicle enters a first kinetic energy feedback mode or a second kinetic energy feedback mode according to the sliding speed; the first kinetic energy feedback mode is a preferential sliding kinetic energy recovery mode, and the second kinetic energy feedback mode is a preferential engine kinetic energy recovery mode; mode selection is carried out in combination with the sliding speed and the remaining capacity of the battery, so that the system can select the optimal kinetic energy recovery strategy under different driving conditions, and the overall recovery efficiency is improved; through a reasonable energy management and recovery strategy, the system is helpful for reducing the charge-discharge cycle times and depth of the battery, so that the service life of the battery is prolonged.

Description

Technical Field

[0001] The present application belongs to the field of automobile kinetic energy feedback technology, and specifically relates to a control method, system, vehicle and storage medium for a kinetic energy feedback mode of a hybrid vehicle. Background Art

[0002] When the high-voltage battery of a hybrid vehicle (including plug-in hybrid and extended-range vehicles) is at low charge, in order to ensure that the high-voltage battery can be recharged to the electrical balance level as soon as possible, when the vehicle is at extremely low charge and driving with a large throttle, when the driver lets go of the accelerator, the vehicle will enter the gliding energy recovery mode. Due to the high speed, the recoverable kinetic energy is large. At this time, the power generation capacity of the range extender is small. As the vehicle speed decreases, the recoverable kinetic energy decreases. At this time, in order to meet the battery pack recharging needs, the power generation of the range extender will increase again.

[0003] At present, the control strategy technology for the range extender's operating point selection depends largely on the engine's optimal BSFC cloud map, and the range extender's power generation is linearly positively correlated with the engine's operating speed, so the engine's operating speed will first decrease and then increase during the vehicle's speed reduction. Therefore, during the speed reduction process, the engine speed will be low in the medium and high speed range, and the NVH performance will be good; the engine speed will be high in the low speed area, and the NVH performance will be worse than the medium and high speed area; this situation does not meet the driver's expectations, and the vehicle's power response will be slow. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a control method, system, vehicle and storage medium for a kinetic energy feedback mode of a hybrid vehicle, which can solve the problem that the operating point selection of the range extender depends to a large extent on the optimal BSFC cloud map of the engine.

[0005] In order to solve the above technical problems, this application is implemented as follows:

[0006] In a first aspect, an embodiment of the present application provides a control method for a kinetic energy regenerative mode of a hybrid vehicle, the method comprising:

[0007] Acquiring target parameters including a sliding speed of a target vehicle in a driving state, so as to determine whether the target vehicle enters a kinetic energy feedback mode according to the target parameters;

[0008] If the target vehicle enters the kinetic energy recovery mode, determining whether the target vehicle enters the first kinetic energy recovery mode or the second kinetic energy recovery mode according to the coasting speed;

[0009] The first kinetic energy feedback mode is a sliding kinetic energy recovery mode, and the second kinetic energy feedback mode is an engine kinetic energy recovery mode.

[0010] As an optional implementation of the first aspect of the present application, the target parameter also includes the remaining power of the high-voltage battery pack of the target vehicle;

[0011] According to the above optional implementation mode, by taking into account the remaining battery power, the system can manage the vehicle's energy more accurately, ensuring that the battery is charged when needed, while avoiding the impact of overcharging or over-discharging on the battery life; combining the coasting speed and the remaining battery power for mode selection enables the system to select the optimal kinetic energy recovery strategy under different driving conditions, thereby improving the overall recovery efficiency; through reasonable energy management and recovery strategies, the system helps to reduce the number and depth of battery charge and discharge cycles, thereby extending the battery life.

[0012] As an optional implementation manner of the first aspect of the present application, judging whether the target vehicle enters the kinetic energy recovery mode according to the target parameter is specifically:

[0013] The target vehicle controller compares the remaining power of the high-voltage battery pack with a preset first threshold;

[0014] If the remaining power of the high-voltage battery pack is lower than the first threshold, the target vehicle enters the kinetic energy feedback mode;

[0015] If the remaining power of the high-voltage battery pack is higher than or equal to the first threshold, the target vehicle does not enter the kinetic energy feedback mode.

[0016] According to the above optional implementation mode, through the preset power threshold, the system can intelligently determine when it is necessary to start the kinetic energy feedback mode to replenish the battery power, thereby avoiding over-discharge of the battery or keeping the battery within an appropriate power range; by avoiding over-discharge of the battery, this intelligent power management method helps to extend the service life of the battery and reduce the battery performance degradation caused by frequent deep discharge; starting the kinetic energy feedback mode when the battery power is low can more effectively utilize the kinetic energy of the vehicle during driving, convert it into electrical energy and store it, thereby improving the overall energy utilization efficiency; by intelligently determining when to enter the kinetic energy feedback mode, the system can ensure that the kinetic energy of the vehicle during driving is recovered to the maximum extent without affecting the driving experience; this judgment logic based on the power threshold is an important manifestation of the vehicle's intelligence level. It enables the vehicle to automatically adjust the working mode according to the real-time driving status and battery power status to adapt to different driving needs.

[0017] As an optional implementation manner of the first aspect of the present application, judging, according to the sliding speed, that the target vehicle enters the first kinetic energy feedback mode or the second kinetic energy feedback mode specifically includes:

[0018] The target vehicle controller compares the coasting speed with a preset second threshold;

[0019] If the sliding speed is greater than the second threshold, the target vehicle controller controls the target vehicle to enter the first kinetic energy feedback mode;

[0020] If the coasting speed is less than or equal to the second threshold, the target vehicle controller controls the target vehicle to enter the second kinetic energy feedback mode.

[0021] According to the above optional implementation manner, by selecting different kinetic energy feedback modes according to the gliding speed, the system can respond to different driving conditions more flexibly, thereby optimizing the kinetic energy recovery efficiency; in the first kinetic energy feedback mode, by extending the gliding distance, the system can more effectively utilize the inertia of the vehicle during driving, reduce unnecessary braking intervention, and improve driving smoothness and economy; in the second kinetic energy feedback mode, the auxiliary role of the engine can recover kinetic energy more quickly and convert it into electrical energy, which helps to quickly replenish the battery when the battery power is low; the intelligent mode selection logic enables the vehicle to automatically adjust the working mode according to the real-time driving status, thereby maintaining driving stability and comfort; this comprehensive judgment logic based on gliding speed and battery power further reflects the improvement of the vehicle's intelligence level, enabling the vehicle to manage energy and recover kinetic energy more intelligently.

[0022] As an optional implementation manner of the first aspect of the present application, the first kinetic energy feedback mode specifically includes:

[0023] The vehicle controller controls the target vehicle to perform coasting energy recovery, and the vehicle controller requests the target vehicle engine to reduce to a minimum target speed;

[0024] After the coasting energy is recovered for a period of time, when the coasting speed of the target vehicle is less than or equal to the second threshold, the vehicle controller requests the engine to increase the speed and torque.

[0025] According to the above optional implementation, by giving priority to coasting energy recovery and adjusting the working state of the engine when necessary, the system can select the optimal recovery strategy at different coasting speeds, thereby improving the overall recovery efficiency; reducing the engine speed to the minimum target speed during coasting can reduce unnecessary energy consumption and friction losses; increasing the engine speed and torque when necessary can respond quickly and generate more mechanical energy for recovery; the intelligent recovery strategy enables the vehicle to automatically adjust the working mode according to the real-time driving status, thereby maintaining driving stability and comfort. At the same time, the timely adjustment of the engine working state can also provide the driver with better acceleration response and power support; this comprehensive recovery strategy based on coasting speed and engine status further reflects the improvement of the vehicle's intelligence level.

[0026] As an optional implementation manner of the first aspect of the present application, the second kinetic energy feedback mode specifically includes:

[0027] The vehicle controller controls the target vehicle to perform engine energy recovery, and the vehicle controller requests the target vehicle engine to increase power generation;

[0028] After the engine energy is recovered for a period of time, when the gliding speed of the target vehicle is greater than the second threshold, stopping the engine energy recovery;

[0029] The engine speed drops to the minimum target speed, and coasting energy recovery is performed.

[0030] According to the above optional implementation mode, by combining engine energy recovery and coasting energy recovery, the system can select the optimal recovery strategy at different coasting speeds, thereby improving the overall recovery efficiency; during the engine energy recovery process, by adjusting the engine output power and speed, its working state can be optimized and unnecessary energy loss can be reduced; stopping engine energy recovery at a high coasting speed helps to extend the coasting distance, reduce braking intervention, and improve driving smoothness and economy; the intelligent recovery strategy enables the vehicle to automatically adjust the working mode according to the real-time driving status, thereby maintaining driving stability and comfort; this comprehensive recovery strategy based on coasting speed and engine status further reflects the improvement of the vehicle's intelligence level.

[0031] As an optional implementation of the first aspect of the present application, in the first kinetic energy recovery mode, when the kinetic energy recovery mode is changed from the coasting energy recovery to the engine energy recovery, the driver can improve the efficiency of the engine energy recovery by stepping on the accelerator pedal of the target vehicle.

[0032] According to the above optional implementation, when the vehicle enters the engine energy recovery stage, the driver can further affect the working state of the engine by stepping on the accelerator pedal; although in this mode, stepping on the accelerator pedal does not directly increase the power output of the vehicle (because the engine mainly works as a generator), it can adjust the engine load and speed, thereby indirectly improving the efficiency of energy recovery; specifically, the driver's moderate stepping on the accelerator pedal may cause the engine to operate in a more optimized load range, which may correspond to higher power generation efficiency and lower energy loss.

[0033] In a second aspect, an embodiment of the present application provides a control system for a kinetic energy feedback mode of a hybrid vehicle, the system comprising:

[0034] A first acquisition module, which acquires target parameters of the target vehicle under the driving state once every first preset time, wherein the target parameters include the driving speed, the remaining power of the high-voltage battery pack, and the accelerator pedal state;

[0035] A first conversion module, used for converting the target parameter into a computer parameter that can be recognized by the system;

[0036] A first processing module, configured to determine an energy recovery mode of the target vehicle according to the computer parameters;

[0037] A first adjustment module, used for adjusting the energy recovery mode according to the target parameter acquired in real time;

[0038] The first output module is used to output the energy recovery mode of the first regulating module to the target vehicle.

[0039] According to a control system of a kinetic energy feedback mode of a hybrid vehicle provided in the second aspect of the present application, the key parameters (driving speed, remaining power of the high-voltage battery pack, and accelerator pedal state) of the target vehicle under the driving state are obtained by the first acquisition module at first preset time intervals, and the system can realize real-time monitoring of the vehicle state. This high-frequency data acquisition helps to more accurately reflect the current actual condition of the vehicle, thereby improving the real-time performance of the system and the accuracy of parameter acquisition. The first conversion module converts the acquired target parameters into computer parameters that can be recognized by the system, providing a basis for subsequent intelligent processing. The first processing module can intelligently determine the energy recovery mode of the target vehicle based on these computer parameters. This process reduces human intervention and improves the intelligence level and response speed of decision-making. The first adjustment module can dynamically adjust the energy recovery mode according to the target parameters obtained in real time. This means that the system can flexibly adjust the energy recovery strategy according to the actual operating conditions of the vehicle (such as changes in driving speed, the amount of battery power, and the driver's driving intention, etc.) to achieve the best energy management effect. This dynamic adjustment capability helps to improve the fuel economy of the vehicle or extend the cruising range of the electric vehicle. The adjusted energy recovery mode is output to the vehicle end of the target vehicle through the first output module, and the system can ensure that the driver can feel the change of the energy recovery mode during driving. A reasonable energy recovery strategy can not only improve the economy of the vehicle, but also improve the overall satisfaction of the user through a smoother driving experience. By intelligently managing the vehicle's energy recovery, the system helps to reduce unnecessary energy consumption, especially in hybrid models. By more effectively recovering braking energy and sliding energy, it can significantly improve energy utilization efficiency, thereby achieving energy conservation and emission reduction, and having a positive impact on environmental protection.

[0040] In a third aspect, an embodiment of the present application provides a vehicle comprising a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0041] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0042] In the embodiment of the present application, through the kinetic energy feedback mode, part of the kinetic energy of the vehicle during driving is converted into electrical energy and stored, which reduces energy waste and improves the overall energy utilization efficiency; since part of the kinetic energy is recovered and converted into electrical energy, this electrical energy can be used as a power source in subsequent driving, thereby extending the vehicle's cruising range; in the kinetic energy feedback mode, especially in the priority sliding kinetic energy recovery mode, the vehicle's emission level may be reduced due to the reduction of braking intervention and engine workload, which is beneficial to environmental protection; through intelligent judgment and selection of appropriate kinetic energy feedback mode, the system can ensure the recovery efficiency while maintaining the smoothness and comfort of the vehicle's driving as much as possible, thereby improving the driving experience; the control method requires real-time acquisition of vehicle driving state parameters and intelligent judgment and decision-making, which reflects the improvement of the vehicle's intelligence level. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a flow chart of a control method for a kinetic energy feedback mode of a hybrid vehicle provided in some embodiments of the present application. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0045] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here. In addition, the "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally represents that the objects associated with each other are in an "or" relationship.

[0046] In the following, in conjunction with the accompanying drawings, a control method for a kinetic energy feedback mode of a hybrid vehicle provided by an embodiment of the present application is described in detail through specific embodiments and application scenarios.

[0047] Example

[0048] A control method for a kinetic energy feedback mode of a hybrid vehicle comprises the following steps:

[0049] S100: Acquire target parameters including the coasting speed of the target vehicle in a driving state, so as to determine whether the target vehicle enters a kinetic energy feedback mode according to the target parameters;

[0050] Furthermore, the target parameters also include the remaining power of the high-voltage battery pack of the target vehicle;

[0051] It should be understood that, based on the above-mentioned feature definition, in addition to the gliding speed, the remaining power of the target vehicle's high-voltage battery pack is also obtained in real time. This parameter is crucial to deciding whether to enter the kinetic energy recovery mode and which mode to choose, because it directly reflects the battery's current energy storage capacity and the need for further charging. Combined with the gliding speed and the remaining battery power, as well as other possible driving state parameters (such as engine speed, vehicle acceleration, etc.), a comprehensive assessment is made as to whether the vehicle is suitable for entering the kinetic energy recovery mode. After determining that the vehicle should enter the kinetic energy recovery mode, the remaining battery power will become an important decision factor. If the battery power is low, the system may prefer to choose a mode that can charge the battery faster, even if this means that the engine may need to provide more assistance during gliding. The gliding speed is still a key factor, but now it will work together with the remaining battery power to determine whether to enter the first kinetic energy recovery mode (prioritizing the gliding kinetic energy recovery mode) or the second kinetic energy recovery mode (prioritizing the engine kinetic energy recovery mode). For example, if the battery power is low and the gliding speed is moderate, the system may choose the second mode to charge the battery faster; if the battery power is high and the gliding speed is fast, the system may choose the first mode to maximize the gliding distance and recovery efficiency. Based on the comprehensive judgment of the gliding speed and the remaining battery power, the system selects and executes the corresponding kinetic energy recovery mode. During the execution process, the system may dynamically adjust the working status of the braking system, transmission system and engine to optimize the kinetic energy recovery effect.

[0052] It should be noted that by taking the remaining battery power into consideration, the system can manage the vehicle's energy more accurately, ensuring that the battery is charged when needed, while avoiding the impact of overcharging or over-discharging on battery life; combining the coasting speed and the remaining battery power for mode selection enables the system to select the optimal kinetic energy recovery strategy under different driving conditions, thereby improving the overall recovery efficiency; through reasonable energy management and recovery strategies, the system helps to reduce the number and depth of battery charge and discharge cycles, thereby extending the battery's service life.

[0053] Furthermore, it is determined whether the target vehicle enters the kinetic energy recovery mode according to the target parameters, specifically:

[0054] The target vehicle controller compares the remaining power of the high-voltage battery pack with a preset first threshold value;

[0055] If the remaining power of the high-voltage battery pack is lower than the first threshold, the target vehicle enters the kinetic energy feedback mode;

[0056] If the remaining power of the high-voltage battery pack is higher than or equal to the first threshold, the target vehicle does not enter the kinetic energy feedback mode.

[0057] It should be understood that, based on the above-mentioned feature definition, the target vehicle's vehicle controller will first obtain the remaining power of the high-voltage battery pack. Then, this remaining power will be compared with a preset first threshold. If the remaining power of the high-voltage battery pack is lower than the preset first threshold, it means that the current battery power is low and there is a need for charging, so the target vehicle will enter the kinetic energy feedback mode. If the remaining power of the high-voltage battery pack is higher than or equal to the preset first threshold, it means that the current battery power is sufficient and does not need to be charged immediately, so the target vehicle will not enter the kinetic energy feedback mode.

[0058] It should be noted that, through the preset power threshold, the system can intelligently determine when it is necessary to start the kinetic energy feedback mode to replenish the battery power, thereby avoiding over-discharge of the battery or keeping the battery within the appropriate power range; by avoiding over-discharge of the battery, this intelligent power management method helps to extend the battery life and reduce battery performance degradation caused by frequent deep discharge; starting the kinetic energy feedback mode when the battery power is low can more effectively utilize the kinetic energy of the vehicle during driving, convert it into electrical energy and store it, thereby improving the overall energy utilization efficiency; by intelligently determining when to enter the kinetic energy feedback mode, the system can ensure that the kinetic energy of the vehicle during driving is recovered to the maximum extent without affecting the driving experience; this judgment logic based on the power threshold is an important manifestation of the vehicle's intelligence level. It enables the vehicle to automatically adjust the working mode according to the real-time driving status and battery power status to adapt to different driving needs.

[0059] S200: if the target vehicle enters the kinetic energy recovery mode, determining whether the target vehicle enters the first kinetic energy recovery mode or the second kinetic energy recovery mode according to the coasting speed;

[0060] It should be noted that the first kinetic energy feedback mode is a mode that prioritizes sliding kinetic energy recovery, and the second kinetic energy feedback mode is a mode that prioritizes engine kinetic energy recovery;

[0061] Further, judging whether the target vehicle enters the first kinetic energy feedback mode or the second kinetic energy feedback mode according to the sliding speed specifically includes:

[0062] The target vehicle controller compares the coasting speed with a preset second threshold value;

[0063] If the sliding speed is greater than the second threshold, the target vehicle controller controls the target vehicle to enter the first kinetic energy feedback mode;

[0064] If the coasting speed is less than or equal to the second threshold, the target vehicle controller controls the target vehicle to enter the second kinetic energy feedback mode.

[0065] It should be understood that, based on the above-mentioned feature definition, when the target vehicle enters the kinetic energy feedback mode (that is, the remaining power of the high-voltage battery pack is lower than the preset first threshold), the vehicle controller will obtain the current gliding speed. Then, this gliding speed will be compared with a preset second threshold. If the gliding speed is greater than the preset second threshold, it means that the vehicle currently has a large kinetic energy and the gliding distance is long, so the vehicle controller will control the target vehicle to enter the first kinetic energy feedback mode (priority gliding kinetic energy recovery mode). In this mode, the system will try to extend the gliding distance and reduce braking intervention to maximize kinetic energy recovery during gliding. If the gliding speed is less than or equal to the preset second threshold, it means that the vehicle's current kinetic energy is small, the gliding distance is limited, or the kinetic energy needs to be recovered more quickly to replenish the battery power. Therefore, the vehicle controller will control the target vehicle to enter the second kinetic energy feedback mode (priority engine kinetic energy recovery mode). In this mode, the engine may assist in recovering kinetic energy in a specific working state to improve the recovery efficiency.

[0066] It should be noted that by selecting different kinetic energy feedback modes according to the gliding speed, the system can respond to different driving conditions more flexibly, thereby optimizing the kinetic energy recovery efficiency; in the first kinetic energy feedback mode, by extending the gliding distance, the system can more effectively utilize the inertia of the vehicle during driving, reduce unnecessary braking intervention, and improve driving smoothness and economy; in the second kinetic energy feedback mode, the auxiliary role of the engine can recover kinetic energy more quickly and convert it into electrical energy, which helps to quickly replenish the battery when the battery power is low; the intelligent mode selection logic enables the vehicle to automatically adjust the working mode according to the real-time driving status, thereby maintaining driving stability and comfort; this comprehensive judgment logic based on gliding speed and battery power further reflects the improvement of the vehicle's intelligence level, enabling the vehicle to manage energy and recover kinetic energy more intelligently.

[0067] Furthermore, the first kinetic energy feedback mode specifically includes:

[0068] The vehicle controller controls the target vehicle to perform coasting energy recovery, and the vehicle controller requests the target vehicle engine to reduce to a minimum target speed;

[0069] After a period of coasting energy recovery, when the coasting speed of the target vehicle is less than or equal to the second threshold, the vehicle controller requests the engine to increase the speed and torque.

[0070] It should be understood that, based on the above-mentioned feature definition, when the target vehicle enters the first kinetic energy feedback mode, the vehicle controller will first control the vehicle to perform coasting energy recovery. This means that the vehicle will mainly rely on the inertia during the coasting process to recover kinetic energy, and convert part of the kinetic energy into electrical energy for storage through the vehicle's braking system or transmission system. At the same time, the vehicle controller will request the target vehicle's engine to reduce to the minimum target speed. This is to reduce the energy consumption and friction loss of the engine during the coasting process, so that the vehicle can more efficiently use the coasting energy for recovery. During the coasting energy recovery process, the vehicle controller will continuously monitor the coasting speed of the target vehicle. Changes in the coasting speed will directly affect the efficiency and duration of energy recovery. After a period of coasting energy recovery, if the coasting speed of the target vehicle is less than or equal to the preset second threshold, it means that the efficiency of the coasting energy recovery begins to decrease, or the vehicle needs faster energy recovery to cope with the upcoming acceleration or climbing conditions. At this time, the vehicle controller will request the engine to increase the speed and torque. The increase in engine speed and torque can make the engine respond faster and generate more mechanical energy, which can then be converted into electrical energy for storage by the generator. At the same time, the adjustment of the engine's operating status can also provide the vehicle with necessary power support to meet the driver's acceleration needs.

[0071] It should be noted that by giving priority to coasting energy recovery and adjusting the engine's working state when necessary, the system can select the optimal recovery strategy at different coasting speeds, thereby improving the overall recovery efficiency; reducing the engine speed to the minimum target speed during coasting can reduce unnecessary energy consumption and friction losses; increasing the engine speed and torque when necessary can respond quickly and generate more mechanical energy for recovery; the intelligent recovery strategy enables the vehicle to automatically adjust the working mode according to the real-time driving status, thereby maintaining driving stability and comfort. At the same time, the timely adjustment of the engine's working state can also provide the driver with better acceleration response and power support; this comprehensive recovery strategy based on coasting speed and engine status further reflects the improvement of the vehicle's intelligence level.

[0072] Furthermore, the second kinetic energy feedback mode specifically includes:

[0073] The vehicle controller controls the target vehicle to perform engine energy recovery, and the vehicle controller requests the target vehicle engine to increase power generation;

[0074] After the engine energy is recovered for a period of time, when the gliding speed of the target vehicle is greater than a second threshold, the engine energy recovery is stopped;

[0075] The engine speed drops to the minimum target speed and coasting energy recovery is performed.

[0076] It should be understood that, based on the above-mentioned feature definition, when the target vehicle enters the second kinetic energy feedback mode, the vehicle controller will send a command to the engine to request it to increase the power generation. This means that the engine will no longer be used only as a power source, but will also work as a generator, converting mechanical energy into electrical energy and storing it in the high-voltage battery pack. After the engine increases the power generation, it will continue to recover energy until a certain stop condition is met. In this process, the output power and speed of the engine will be adjusted as needed to maximize the recovery efficiency. During the engine energy recovery process, the vehicle controller will continue to monitor the gliding speed of the target vehicle. If the gliding speed is greater than the preset second threshold after a period of time, it means that the vehicle currently has a large kinetic energy and a long gliding distance. At this time, the vehicle controller will determine that continuing the engine energy recovery may no longer be the best choice, so it will stop the engine energy recovery. After stopping the engine energy recovery, the engine will gradually reduce the speed to avoid unnecessary interference with the vehicle's driving. In this process, the engine speed will drop to a minimum target speed to ensure that the engine can respond quickly and re-provide power when needed. When the engine speed drops to the minimum target speed, the vehicle controller will control the vehicle to enter the gliding energy recovery stage. In this stage, the vehicle mainly relies on the inertia of the sliding process to recover kinetic energy, and converts part of the kinetic energy into electrical energy for storage through the vehicle's braking system or transmission system. The efficiency and effect of sliding energy recovery will be affected by many factors such as sliding speed, road conditions, and vehicle load.

[0077] It should be noted that by combining engine energy recovery and coasting energy recovery, the system can select the optimal recovery strategy at different coasting speeds, thereby improving the overall recovery efficiency; during the engine energy recovery process, by adjusting the engine's output power and speed, its working state can be optimized and unnecessary energy loss can be reduced; stopping engine energy recovery at a high coasting speed can help extend the coasting distance, reduce braking intervention, and improve driving smoothness and economy; the intelligent recovery strategy enables the vehicle to automatically adjust the working mode according to the real-time driving status, thereby maintaining driving stability and comfort; this comprehensive recovery strategy based on coasting speed and engine status further reflects the improvement of the vehicle's intelligence level.

[0078] Furthermore, in the first kinetic energy recovery mode, when the kinetic energy recovery mode is changed from coasting energy recovery to engine energy recovery, the driver can improve the efficiency of engine energy recovery by stepping on the accelerator pedal of the target vehicle.

[0079] It should be understood that, based on the above-mentioned characteristic definition, in the early stage of the first kinetic energy recovery mode, the vehicle mainly relies on coasting to recover kinetic energy. At this time, the engine may be in an idling or low-load state and does not directly participate in the energy recovery process. As the coasting speed decreases or the system determines that a more efficient energy recovery method is needed, the vehicle will automatically or according to preset conditions switch from coasting energy recovery to engine energy recovery. In this stage, the engine will be controlled to increase the power generation, and begin to convert mechanical energy into electrical energy and store it. When the vehicle enters the engine energy recovery stage, the driver can further affect the working state of the engine by stepping on the accelerator pedal. Although in this mode, stepping on the accelerator pedal does not directly increase the power output of the vehicle (because the engine mainly works as a generator), it can adjust the engine load and speed, thereby indirectly improving the efficiency of energy recovery. Specifically, the driver's moderate stepping on the accelerator pedal may cause the engine to work in a more optimized load range, which may correspond to higher power generation efficiency and lower energy loss.

[0080] According to a control method of a kinetic energy feedback mode of a hybrid vehicle of the present embodiment, the key parameters of the target vehicle under the driving state are first obtained in real time, with particular attention paid to the gliding speed. The gliding speed refers to the speed of the vehicle when it is driving only by its own inertia without stepping on the accelerator or brake. In addition, other parameters such as battery power, engine speed, vehicle acceleration, etc. may also be included. Although these parameters are not directly mentioned, they may be used for comprehensive judgment in the actual system. Based on the collected target parameters, especially the gliding speed, the system begins to evaluate whether the vehicle meets the conditions for entering the kinetic energy feedback mode. The kinetic energy feedback mode is a technology that converts the kinetic energy of the vehicle during driving into electrical energy and stores it to improve energy utilization efficiency. Once it is determined that the vehicle enters the kinetic energy feedback mode, the system will further determine whether to enter the first kinetic energy feedback mode (prioritizing the gliding kinetic energy recovery mode) or the second kinetic energy feedback mode (prioritizing the engine kinetic energy recovery mode) according to the gliding speed. As a key distinguishing factor, the high or low gliding speed may reflect the size of the vehicle's current kinetic energy and the potential difference in recovery efficiency. For example, when the coasting speed is high, it may mean that the vehicle has a large kinetic energy. At this time, it may be more efficient to prioritize kinetic energy recovery through coasting (i.e., reducing braking intervention and extending the coasting distance); when the coasting speed is low, the engine may need to assist in more efficient kinetic energy recovery. Based on the judgment result of the coasting speed, the system selects and executes the corresponding kinetic energy feedback mode. In the first kinetic energy feedback mode, the system may mainly extend the coasting distance and reduce braking intervention by adjusting the vehicle's braking system or transmission system, thereby maximizing kinetic energy recovery during coasting. In the second kinetic energy feedback mode, the system may adjust the engine operating state (such as adjusting the engine speed, load, etc.) so that the engine also participates in kinetic energy recovery during vehicle coasting to improve recovery efficiency.

[0081] Through the preset power threshold, the system can intelligently determine when it is necessary to start the kinetic energy feedback mode to replenish the battery power, thereby avoiding over-discharge of the battery or keeping the battery within the appropriate power range; by avoiding over-discharge of the battery, this intelligent power management method helps to extend the battery life and reduce battery performance degradation caused by frequent deep discharge; starting the kinetic energy feedback mode when the battery power is low can more effectively utilize the kinetic energy of the vehicle during driving, convert it into electrical energy and store it, thereby improving the overall energy utilization efficiency; by intelligently determining when to enter the kinetic energy feedback mode, the system can ensure that the kinetic energy of the vehicle during driving is recovered to the maximum extent without affecting the driving experience; this judgment logic based on the power threshold is an important manifestation of the vehicle's intelligence level. It enables the vehicle to automatically adjust the working mode according to the real-time driving status and battery power status to adapt to different driving needs.

[0082] It should be noted that the control method of a kinetic energy feedback mode of a hybrid vehicle provided in the embodiment of the present application can be executed by a control system of a kinetic energy feedback mode of a hybrid vehicle, or, or, a control module in the control system of the kinetic energy feedback mode of a hybrid vehicle for executing a control method of loading a kinetic energy feedback mode of a hybrid vehicle. In the embodiment of the present application, a control method of a kinetic energy feedback mode of a hybrid vehicle performed by a control system of a kinetic energy feedback mode of a hybrid vehicle is taken as an example to illustrate a control method of a kinetic energy feedback mode of a hybrid vehicle provided in the embodiment of the present application.

[0083] A control system for a kinetic energy feedback mode of a hybrid vehicle, the system comprising:

[0084] A first acquisition module, which acquires target parameters of the target vehicle under the driving state once every first preset time, the target parameters including the driving speed, the remaining power of the high-voltage battery pack, and the accelerator pedal state;

[0085] A first conversion module, used for converting the target parameter into a computer parameter that can be recognized by the system;

[0086] A first processing module, for determining an energy recovery mode of a target vehicle according to computer parameters;

[0087] A first adjustment module, used to adjust the energy recovery mode according to the target parameters obtained in real time;

[0088] The first output module is used to output the energy recovery mode of the first regulating module to the target vehicle.

[0089] According to a control system of a kinetic energy feedback mode of a hybrid vehicle provided in the second aspect of the present application, the key parameters (driving speed, remaining power of the high-voltage battery pack, and accelerator pedal state) of the target vehicle under the driving state are obtained by the first acquisition module at first preset time intervals, and the system can realize real-time monitoring of the vehicle state. This high-frequency data acquisition helps to more accurately reflect the current actual condition of the vehicle, thereby improving the real-time performance of the system and the accuracy of parameter acquisition. The first conversion module converts the acquired target parameters into computer parameters that can be recognized by the system, providing a basis for subsequent intelligent processing. The first processing module can intelligently determine the energy recovery mode of the target vehicle based on these computer parameters. This process reduces human intervention and improves the intelligence level and response speed of decision-making. The first adjustment module can dynamically adjust the energy recovery mode according to the target parameters obtained in real time. This means that the system can flexibly adjust the energy recovery strategy according to the actual operating conditions of the vehicle (such as changes in driving speed, the amount of battery power, and the driver's driving intention, etc.) to achieve the best energy management effect. This dynamic adjustment capability helps to improve the fuel economy of the vehicle or extend the cruising range of the electric vehicle. The adjusted energy recovery mode is output to the vehicle end of the target vehicle through the first output module, and the system can ensure that the driver can feel the change of the energy recovery mode during driving. A reasonable energy recovery strategy can not only improve the economy of the vehicle, but also improve the overall satisfaction of the user through a smoother driving experience. By intelligently managing the vehicle's energy recovery, the system helps to reduce unnecessary energy consumption, especially in hybrid models. By more effectively recovering braking energy and sliding energy, it can significantly improve energy utilization efficiency, thereby achieving energy conservation and emission reduction, and having a positive impact on environmental protection.

[0090] In the embodiment of the present application, a control system of a kinetic energy regenerative mode of a hybrid vehicle may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0091] Optionally, an embodiment of the present application further provides a vehicle, including a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, each process of the control method embodiment of the kinetic energy feedback mode of a hybrid vehicle type described above is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0092] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the control method embodiment of the kinetic energy feedback mode of a hybrid vehicle described above is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0093] The processor is the processor in the electronic device in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0094] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0095] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods of each embodiment of the present application.

[0096] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. A control method for a kinetic energy feedback mode of a hybrid vehicle, characterized in that: The method comprises: Acquiring target parameters including a sliding speed of a target vehicle in a driving state, so as to determine whether the target vehicle enters a kinetic energy feedback mode according to the target parameters; If the target vehicle enters the kinetic energy recovery mode, determining whether the target vehicle enters the first kinetic energy recovery mode or the second kinetic energy recovery mode according to the coasting speed; The first kinetic energy feedback mode is a sliding kinetic energy recovery mode, and the second kinetic energy feedback mode is an engine kinetic energy recovery mode.

2. The control method of the kinetic energy feedback mode of a hybrid vehicle according to claim 1, characterized in that: The target parameters also include the remaining power of the high-voltage battery pack of the target vehicle.

3. The control method of the kinetic energy feedback mode of a hybrid vehicle according to claim 2, characterized in that: The determining, according to the target parameter, whether the target vehicle enters the kinetic energy recovery mode is specifically: The target vehicle controller compares the remaining power of the high-voltage battery pack with a preset first threshold; If the remaining power of the high-voltage battery pack is lower than the first threshold, the target vehicle enters the kinetic energy feedback mode; If the remaining power of the high-voltage battery pack is higher than or equal to the first threshold, the target vehicle does not enter the kinetic energy feedback mode.

4. The control method of the kinetic energy feedback mode of a hybrid vehicle according to claim 3, characterized in that: The step of determining whether the target vehicle enters the first kinetic energy feedback mode or the second kinetic energy feedback mode according to the sliding speed specifically includes: The target vehicle controller compares the coasting speed with a preset second threshold; If the sliding speed is greater than the second threshold, the target vehicle controller controls the target vehicle to enter the first kinetic energy feedback mode; If the coasting speed is less than or equal to the second threshold, the target vehicle controller controls the target vehicle to enter the second kinetic energy feedback mode.

5. The control method of the kinetic energy feedback mode of a hybrid vehicle according to claim 4, characterized in that: The first kinetic energy feedback mode specifically includes: The vehicle controller controls the target vehicle to perform coasting energy recovery, and the vehicle controller requests the target vehicle engine to reduce to a minimum target speed; After the coasting energy is recovered for a period of time, when the coasting speed of the target vehicle is less than or equal to the second threshold, the vehicle controller requests the engine to increase the speed and torque.

6. The control method of the kinetic energy feedback mode of a hybrid vehicle according to claim 5, characterized in that: The second kinetic energy feedback mode specifically includes: The vehicle controller controls the target vehicle to perform engine energy recovery, and the vehicle controller requests the target vehicle engine to increase power generation; After the engine energy is recovered for a period of time, when the gliding speed of the target vehicle is greater than the second threshold, stopping the engine energy recovery; The engine speed drops to the minimum target speed, and coasting energy recovery is performed.

7. The control method of the kinetic energy feedback mode of a hybrid vehicle according to claim 6, characterized in that: In the first kinetic energy recovery mode, after the kinetic energy recovery mode is changed from the coasting energy recovery to the engine energy recovery, the driver can improve the efficiency of the engine energy recovery by stepping on the accelerator pedal of the target vehicle.

8. A control system for a kinetic energy feedback mode of a hybrid vehicle, characterized in that: A control method for a kinetic energy regenerative mode of a hybrid vehicle model capable of realizing any one of claims 1 to 7, the system comprising: a first acquisition module, which acquires target parameters of the target vehicle under the driving state once every first preset time, wherein the target parameters include the driving speed, the remaining power of the high-voltage battery pack, and the accelerator pedal state; A first conversion module, used for converting the target parameter into a computer parameter that can be recognized by the system; A first processing module, configured to determine an energy recovery mode of the target vehicle according to the computer parameters; A first adjustment module, used for adjusting the energy recovery mode according to the target parameter acquired in real time; The first output module is used to output the energy recovery mode of the first regulating module to the target vehicle.

9. A vehicle, characterized in that: It includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of a method for controlling a kinetic energy feedback mode of a hybrid vehicle as described in claims 1-7 are implemented.

10. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the control method of the kinetic energy feedback mode of a hybrid vehicle model as described in claims 1-7 are implemented.

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