Control method and system of kinetic energy feedback mode of hybrid vehicle, vehicle and storage medium

Abstract

The application discloses a control method for a kinetic energy feedback mode of a hybrid vehicle, and belongs to the technical field of automobile kinetic energy feedback, and comprises the following steps: obtaining target parameters including a coasting speed in a target vehicle 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 feedback mode, determining whether the target vehicle enters a first kinetic energy feedback mode or a second kinetic energy feedback mode according to the coasting speed; the first kinetic energy feedback mode is a kinetic energy recovery mode with priority to coasting, and the second kinetic energy feedback mode is a kinetic energy recovery mode with priority to an engine; mode selection is performed in combination with the coasting speed and a remaining battery capacity, so that the system can select an optimal kinetic energy recovery strategy under different driving conditions, thereby improving overall recovery efficiency; through reasonable energy management and recovery strategies, the system helps to reduce the charging and discharging cycle times and depth of the battery, thereby prolonging the service life of the battery.

Description

Technical Field

[0001] This application belongs to the field of automotive kinetic energy recovery technology, specifically relating to a control method, system, vehicle, and storage medium for a hybrid vehicle's kinetic energy recovery mode. Background Technology

[0002] When the high-voltage battery of a hybrid vehicle (including plug-in hybrid and range-extended vehicles) has a low charge, in order to ensure that the high-voltage battery can be recharged to the balance level as quickly as possible, when the vehicle is in a state of extremely low charge and high throttle driving, the vehicle will enter the coasting energy recovery mode when the driver releases the accelerator. Because the vehicle speed is high, the recoverable kinetic energy is large. At this time, the power generation 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] Currently, the control strategy technology for the range extender's operating point selection largely depends on the engine's optimal BSFC (Balance of Filtering and Controlling) cloud map. Furthermore, the range extender's power generation is linearly positively correlated with the engine's operating speed. Therefore, as the vehicle speed decreases, the engine's operating speed will initially decrease and then increase. Consequently, during speed reduction, the engine speed will be lower and NVH (Noise, Vibration, and Harshness) performance will be better at medium to high speeds, while at low speeds, the engine speed will be higher and NVH performance will be worse than at medium to high speeds. This situation does not meet the driver's expectations, and the overall vehicle power response will be slower. Summary of the Invention

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

[0005] To solve the above-mentioned technical problems, this application is implemented as follows:

[0006] In a first aspect, embodiments of this application provide a control method for a kinetic energy recovery mode of a hybrid vehicle, the method comprising:

[0007] Acquire target parameters, including coasting speed, of the target vehicle while it is in motion, and determine whether the target vehicle has entered kinetic energy feedback mode based on the target parameters.

[0008] If the target vehicle enters the kinetic energy recovery mode, the target vehicle enters either the first kinetic energy feedback mode or the second kinetic energy feedback mode based on the coasting speed;

[0009] The first kinetic energy recovery mode is a priority coasting kinetic energy recovery mode, and the second kinetic energy recovery mode is a priority engine kinetic energy recovery mode.

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

[0011] According to the above optional implementation methods, 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 battery life; by combining coasting speed and remaining battery power for mode selection, the system can 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-discharge cycles, thereby extending battery life.

[0012] As an optional implementation of the first aspect of this application, the step of determining whether the target vehicle has entered the kinetic energy recovery mode based on the target parameters specifically includes:

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

[0014] If the remaining charge 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 charge of the high-voltage battery pack is higher than or equal to the first threshold, the target vehicle will not enter the kinetic energy feedback mode.

[0016] According to the above optional implementation, by using a preset power threshold, the system can intelligently determine when to activate the kinetic energy recovery mode to replenish the battery power, thereby avoiding over-discharge of the battery or keeping the battery within a suitable power range. By avoiding over-discharge, this intelligent power management method helps to extend the battery's lifespan and reduce battery performance degradation caused by frequent deep discharge. Activating the kinetic energy recovery mode when the battery power is low can more effectively utilize the kinetic energy generated during vehicle operation, converting it into electrical energy and storing it, thereby improving overall energy utilization efficiency. By intelligently determining when to enter the kinetic energy recovery mode, the system can ensure that the kinetic energy generated during vehicle operation is recovered to the maximum extent without affecting the driving experience. This judgment logic based on power threshold is an important manifestation of the vehicle's intelligence level, enabling the vehicle to automatically adjust its operating mode according to real-time driving status and battery power to adapt to different driving needs.

[0017] As an optional implementation of the first aspect of this application, the step of determining whether the target vehicle enters a first kinetic energy recovery mode or a second kinetic energy recovery mode based on the coasting speed specifically includes:

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

[0019] If the gliding 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 gliding 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 methods, by selecting different kinetic energy recovery modes based on the coasting speed, the system can more flexibly cope with different driving conditions, thereby optimizing kinetic energy recovery efficiency. In the first kinetic energy recovery mode, by extending the coasting distance, the system can more effectively utilize the vehicle's inertia during driving, reduce unnecessary braking intervention, and improve driving smoothness and economy. In the second kinetic energy recovery mode, the engine's auxiliary function can more quickly recover kinetic energy and convert it into electrical energy, which helps to quickly replenish the battery when the battery charge is low. The intelligent mode selection logic enables the vehicle to automatically adjust its operating mode according to the real-time driving status, thereby maintaining driving stability and comfort. This comprehensive judgment logic based on coasting speed and battery charge 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 of the first aspect of this 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's engine to reduce to the lowest target speed;

[0024] 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 its speed and torque.

[0025] According to the above optional implementation methods, by prioritizing coasting energy recovery and adjusting the engine's operating state when necessary, the system can select the optimal recovery strategy at different coasting speeds, thereby improving overall recovery efficiency. Reducing the engine speed to the minimum target speed during coasting reduces unnecessary energy consumption and friction losses. Increasing engine speed and torque when needed allows for rapid response and the generation of more mechanical energy for recovery. This intelligent recovery strategy enables the vehicle to automatically adjust its operating mode based on real-time driving conditions, maintaining driving smoothness and comfort. Simultaneously, timely adjustments to the engine's operating state also provide the driver with better acceleration response and power support. This comprehensive recovery strategy based on coasting speed and engine state further demonstrates the improvement in the vehicle's intelligence level.

[0026] As an optional implementation of the first aspect of this 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 its power generation capacity.

[0028] After the engine energy recovery has been completed for a period of time, the engine energy recovery will stop when the coasting speed of the target vehicle exceeds the second threshold.

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

[0030] According to the above optional implementation methods, 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 engine energy recovery, by adjusting the engine's output power and speed, its operating state can be optimized, reducing unnecessary energy loss. Stopping engine energy recovery at higher coasting speeds 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 its operating mode according to real-time driving conditions, thereby maintaining driving stability and comfort. This comprehensive recovery strategy based on coasting speed and engine status further reflects the improvement in the vehicle's intelligence level.

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

[0032] According to the above optional implementation method, when the vehicle enters the engine energy recovery stage, the driver can further influence the engine's working state by pressing the accelerator pedal. Although pressing the accelerator pedal does not directly increase the vehicle's power output in this mode (because the engine mainly works as a generator), it can adjust the engine's load and speed, thereby indirectly improving the efficiency of energy recovery. Specifically, the driver's moderate pressing of 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.

[0033] Secondly, embodiments of this application provide a control system for a kinetic energy recovery mode of a hybrid vehicle, the system comprising:

[0034] The first acquisition module acquires target parameters of the target vehicle's driving status every first preset time interval. The target parameters include driving speed, remaining power of the high-voltage battery pack, and accelerator pedal status.

[0035] The first conversion module is used to convert the target parameters into computer parameters that the system can recognize;

[0036] The first processing module is used to determine the energy recovery mode of the target vehicle based on the computer parameters.

[0037] The first adjustment module is used to adjust the energy recovery mode according to the target parameters acquired in real time;

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

[0039] According to the second aspect of this application, a control system for a hybrid vehicle's kinetic energy recovery mode acquires key parameters (driving speed, remaining charge of the high-voltage battery pack, and accelerator pedal status) of the target vehicle's driving state at first preset intervals via a first acquisition module. This system enables real-time monitoring of the vehicle's status. This high-frequency data acquisition helps to more accurately reflect the vehicle's current actual condition, thereby improving the system's real-time performance and the accuracy of parameter acquisition. A first conversion module converts the acquired target parameters into computer parameters that the system can recognize, providing a foundation for subsequent intelligent processing. Based on these computer parameters, a first processing module can intelligently determine the target vehicle's energy recovery mode. This process reduces human intervention and improves the intelligence level and response speed of decision-making. A first adjustment module can dynamically adjust the energy recovery mode according to the real-time acquired target parameters. This means that the system can flexibly adjust the energy recovery strategy according to the vehicle's actual operating conditions (such as changes in driving speed, battery charge, and driver's driving intentions) to achieve optimal energy management. This dynamic adjustment capability helps improve the vehicle's fuel economy or extend the electric vehicle's range. The adjusted energy recovery mode is output to the target vehicle via a first output module, ensuring that the driver can perceive the change in the energy recovery mode during driving. A well-designed energy recovery strategy not only improves vehicle fuel economy but also enhances overall user satisfaction through a smoother driving experience. By intelligently managing vehicle energy recovery, this system helps reduce unnecessary energy consumption. Particularly in hybrid vehicles, more effectively recovering braking and coasting energy significantly improves energy efficiency, thereby achieving energy conservation and emission reduction, and positively impacting environmental protection.

[0040] Thirdly, embodiments of this application provide a vehicle that includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor. When the program or instructions are executed by the processor, they implement the steps of the method described in the first aspect.

[0041] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method described in the first aspect.

[0042] In this embodiment, through the kinetic energy recovery mode, a portion of the kinetic energy generated during vehicle operation is converted into electrical energy and stored, reducing energy waste and improving overall energy efficiency. Since some kinetic energy is recovered and converted into electrical energy, this electrical energy can be used as a power source for subsequent driving, thereby extending the vehicle's range. In the kinetic energy recovery mode, especially in the priority coasting kinetic energy recovery mode, the vehicle's emissions may be reduced due to decreased braking intervention and engine workload, which is beneficial to environmental protection. By intelligently judging and selecting an appropriate kinetic energy recovery mode, the system can maintain vehicle stability and comfort as much as possible while ensuring recovery efficiency, thus enhancing the driving experience. This control method requires real-time acquisition of vehicle driving state parameters and intelligent judgment and decision-making, reflecting an improvement in the vehicle's intelligence level. Attached Figure Description

[0043] Figure 1 This is a flowchart of a control method for a hybrid vehicle kinetic energy feedback mode provided by some embodiments of this application. Detailed Implementation

[0044] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0045] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0046] The following description, in conjunction with the accompanying drawings, details a control method for a hybrid vehicle kinetic energy feedback mode provided in this application through specific embodiments and application scenarios.

[0047] Example

[0048] A control method for a kinetic energy recovery mode in a hybrid vehicle includes the following steps:

[0049] S100: Acquire target parameters, including coasting speed, of the target vehicle under its driving state, and determine whether the target vehicle has entered the kinetic energy feedback mode based on the target parameters;

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

[0051] It's important to understand that, based on the aforementioned characteristics, in addition to coasting speed, the remaining charge of the target vehicle's high-voltage battery pack is also acquired in real time. This parameter is crucial for determining whether to enter regenerative braking mode and which mode to select, as it directly reflects the battery's current energy storage capacity and the need for further charging. Combining coasting speed and remaining battery charge, along with other possible driving state parameters (such as engine speed, vehicle acceleration, etc.), a comprehensive assessment is made to determine whether the vehicle is suitable for entering regenerative braking mode. After determining that the vehicle should enter regenerative braking mode, the remaining battery charge becomes a significant decision factor. If the battery charge is low, the system may prefer to choose a mode that charges the battery faster, even if this means the engine may need to provide more assistance during coasting. Coasting speed remains a key factor, but now it will work in conjunction with the remaining battery charge to determine whether to enter the first regenerative braking mode (prioritizing coasting regenerative braking mode) or the second regenerative braking mode (prioritizing engine regenerative braking mode). For example, if the battery charge is low and the coasting speed is moderate, the system may choose the second mode to charge the battery faster; while if the battery charge is high and the coasting speed is fast, the system may choose the first mode to maximize coasting distance and recovery efficiency. Based on a comprehensive assessment of the coasting speed and remaining battery power, the system selects and executes the appropriate kinetic energy recovery mode. During execution, the system may dynamically adjust the operating states of the braking system, transmission system, and engine to optimize the kinetic energy recovery effect.

[0052] It should be noted that by taking into account the remaining battery charge, 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. By combining coasting speed and remaining battery charge for mode selection, the system can choose the optimal kinetic energy recovery strategy under different driving conditions, thereby improving overall recovery efficiency. Through reasonable energy management and recovery strategies, the system helps to reduce the number and depth of battery charge-discharge cycles, thereby extending battery life.

[0053] Furthermore, based on the target parameters, it is determined whether the target vehicle has entered the kinetic energy recovery mode, specifically as follows:

[0054] The target vehicle's controller compares the remaining charge of the high-voltage battery pack with a preset first threshold.

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

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

[0057] It's important to understand that, based on the aforementioned characteristics, the vehicle controller first obtains the remaining charge of the high-voltage battery pack. Next, this remaining charge is compared to a preset first threshold. If the remaining charge of the high-voltage battery pack is lower than the preset first threshold, it indicates that the battery's current charge is low and there is a need for charging; therefore, the vehicle will enter regenerative braking mode. If the remaining charge of the high-voltage battery pack is higher than or equal to the preset first threshold, it indicates that the battery's current charge is sufficient and there is no need for immediate charging; therefore, the vehicle will not enter regenerative braking mode.

[0058] It should be noted that, by setting preset battery power thresholds, the system can intelligently determine when to activate the regenerative braking mode to replenish the battery, thereby avoiding over-discharge or keeping the battery within a suitable power range. By preventing over-discharge, this intelligent power management method helps extend battery life and reduce battery performance degradation caused by frequent deep discharges. Activating the regenerative braking mode when the battery power is low can more effectively utilize the kinetic energy generated during vehicle operation, converting it into electrical energy and storing it, thereby improving overall energy efficiency. By intelligently determining when to enter the regenerative braking mode, the system can ensure that the kinetic energy generated during vehicle operation is recovered to the maximum extent without affecting the driving experience. This judgment logic based on battery power thresholds is an important manifestation of the vehicle's level of intelligence, enabling the vehicle to automatically adjust its operating mode according to real-time driving conditions and battery power status to adapt to different driving needs.

[0059] S200: If the target vehicle enters the kinetic energy recovery mode, determine whether the target vehicle enters the first kinetic energy feedback mode or the second kinetic energy feedback mode based on the coasting speed.

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

[0061] Furthermore, based on the coasting speed, it is determined whether the target vehicle enters the first or second kinetic energy recovery mode, specifically including:

[0062] The target vehicle's controller compares the coasting speed with a preset second threshold.

[0063] If the coasting speed is greater than the second threshold, the vehicle controller of the target vehicle will control 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 vehicle controller of the target vehicle will control the target vehicle to enter the second kinetic energy feedback mode.

[0065] It's important to understand that, based on the aforementioned characteristics, when the target vehicle enters kinetic energy recovery mode (i.e., the remaining charge of the high-voltage battery pack is below a preset first threshold), the vehicle controller acquires the current coasting speed. This coasting speed is then compared to a preset second threshold. If the coasting speed is greater than the preset second threshold, it indicates the vehicle currently has significant kinetic energy and a long coasting distance; therefore, the vehicle controller will control the target vehicle to enter the first kinetic energy recovery mode (priority coasting kinetic energy recovery mode). In this mode, the system will try to extend the coasting distance and reduce braking intervention to maximize kinetic energy recovery during coasting. If the coasting speed is less than or equal to the preset second threshold, it indicates the vehicle currently has less kinetic energy, a limited coasting distance, or a need for faster kinetic energy recovery to replenish the battery charge. Therefore, the vehicle controller will control the target vehicle to enter the second kinetic energy recovery mode (priority engine kinetic energy recovery mode). In this mode, the engine may operate in a specific manner to assist in kinetic energy recovery, thereby improving recovery efficiency.

[0066] It should be noted that by selecting different kinetic energy recovery modes based on coasting speed, the system can more flexibly cope with different driving conditions, thereby optimizing kinetic energy recovery efficiency. In the first kinetic energy recovery mode, by extending the coasting distance, the system can more effectively utilize the vehicle's inertia, reduce unnecessary braking intervention, and improve driving smoothness and economy. In the second kinetic energy recovery mode, the engine's assistance can more quickly recover kinetic energy and convert it into electrical energy, helping to quickly replenish the battery when the charge is low. The intelligent mode selection logic enables the vehicle to automatically adjust its operating mode according to real-time driving conditions, thereby maintaining driving stability and comfort. This comprehensive judgment logic based on coasting speed and battery charge further reflects the improvement in 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's engine to reduce to the 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 its speed and torque.

[0070] It's important to understand that, based on the aforementioned characteristics, when the target vehicle enters the first kinetic energy recovery mode, the vehicle controller will first control the vehicle to perform coasting energy recovery. This means the vehicle will primarily rely on inertia during coasting to recover kinetic energy, and will convert some of this kinetic energy into electrical energy for storage through the vehicle's braking or transmission system. Simultaneously, the vehicle controller will request the target vehicle's engine to reduce to a minimum target speed. This is to reduce engine energy consumption and friction losses during coasting, allowing the vehicle to utilize coasting energy recovery more efficiently. During coasting energy recovery, the vehicle controller will continuously monitor the target vehicle's coasting speed. Changes in coasting speed directly affect the efficiency and duration of energy recovery. After a period of coasting energy recovery, if the target vehicle's coasting speed is less than or equal to a preset second threshold, it indicates that the efficiency of coasting energy recovery is beginning to decrease, or the vehicle needs faster energy recovery to cope with upcoming acceleration or hill climbing conditions. At this point, the vehicle controller will request the engine to increase its speed and torque. Increased engine speed and torque allow the engine to respond more quickly and generate more mechanical energy, which can then be converted into electrical energy by the generator for storage. At the same time, adjusting the engine's operating status can also provide the necessary power support for the vehicle to meet the driver's acceleration needs.

[0071] It's worth noting that by prioritizing coasting energy recovery and adjusting engine operating conditions when necessary, the system can select the optimal recovery strategy at different coasting speeds, thereby improving overall recovery efficiency. Reducing engine speed to the minimum target speed during coasting minimizes unnecessary energy consumption and friction losses. Increasing engine speed and torque when needed allows for rapid response and the generation of more mechanical energy for recovery. This intelligent recovery strategy enables the vehicle to automatically adjust its operating mode based on real-time driving conditions, maintaining driving smoothness and comfort. Simultaneously, timely adjustments to engine operating conditions provide the driver with better acceleration response and power support. This comprehensive recovery strategy based on coasting speed and engine status further demonstrates the enhanced intelligence level of the vehicle.

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

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

[0074] After a period of time, engine energy recovery will stop when the target vehicle's coasting speed exceeds the second threshold.

[0075] The engine speed drops to the minimum target speed to recover coasting energy.

[0076] It's important to understand that, based on the aforementioned characteristics, when the target vehicle enters the second kinetic energy recovery mode, the vehicle controller sends a command to the engine, requesting it to increase its power generation. This means the engine will no longer act solely as a power source, but will simultaneously function as a generator, converting mechanical energy into electrical energy and storing it in the high-voltage battery pack. After increasing its power generation, the engine will continue energy recovery until a certain stopping condition is met. During this process, the engine's output power and speed will be adjusted as needed to maximize recovery efficiency. During engine energy recovery, the vehicle controller continuously monitors the target vehicle's coasting speed. If the coasting speed exceeds a preset second threshold after a period of time, it indicates that the vehicle currently possesses significant kinetic energy and has coasted a considerable distance. At this point, the vehicle controller will determine that continuing engine energy recovery may no longer be the optimal choice and will therefore stop engine energy recovery. After stopping engine energy recovery, the engine speed will gradually decrease to avoid unnecessary interference with vehicle operation. During this process, the engine speed will drop to a minimum target speed to ensure that the engine can quickly respond and provide power again when needed. Once the engine speed drops to the minimum target speed, the vehicle controller will control the vehicle to enter the coasting energy recovery phase. During this phase, the vehicle primarily relies on the inertia generated during coasting to recover kinetic energy, and converts some of this kinetic energy into electrical energy for storage through the vehicle's braking or transmission systems. The efficiency and effectiveness of coasting energy recovery are affected by various factors such as coasting 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 overall recovery efficiency. During engine energy recovery, adjusting the engine's output power and speed optimizes its operating state and reduces unnecessary energy loss. Stopping engine energy recovery at higher coasting speeds helps extend the coasting distance, reduce braking intervention, and improve driving smoothness and economy. The intelligent recovery strategy enables the vehicle to automatically adjust its operating mode according to real-time driving conditions, thereby maintaining driving stability and comfort. This comprehensive recovery strategy based on coasting speed and engine status further demonstrates the improvement in the vehicle's intelligence level.

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

[0079] It's important to understand that, based on the aforementioned characteristics, in the initial stage of the first kinetic energy recovery mode, the vehicle primarily relies on coasting to recover kinetic energy. At this time, the engine may be idling or under low load, not directly participating 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 is controlled to increase its power generation, beginning to convert mechanical energy into electrical energy and store it. Once the vehicle enters the engine energy recovery stage, the driver can further influence the engine's operating state by pressing the accelerator pedal. Although pressing the accelerator pedal in this mode does not directly increase the vehicle's power output (because the engine primarily functions as a generator), it can adjust the engine's load and speed, thereby indirectly improving the efficiency of energy recovery. Specifically, moderately pressing the accelerator pedal may cause the engine to operate within a more optimized load range, which may correspond to higher power generation efficiency and lower energy loss.

[0080] According to a control method for a hybrid vehicle's kinetic energy recovery mode in this embodiment, the system first acquires key parameters of the target vehicle's driving state in real time, with particular attention to coasting speed. Coasting speed refers to the speed of the vehicle when it moves solely by its own inertia without pressing the accelerator or brake. Other parameters, such as battery charge, engine speed, and vehicle acceleration, may also be included; although not directly mentioned, these parameters may be used for comprehensive judgment in the actual system. Based on the collected target parameters, especially the coasting speed, the system begins to evaluate whether the vehicle meets the conditions for entering the kinetic energy recovery mode. Kinetic energy recovery mode is a technology that converts and stores the kinetic energy generated during vehicle movement to improve energy utilization efficiency. Once it is determined that the vehicle has entered the kinetic energy recovery mode, the system further determines whether to enter the first kinetic energy recovery mode (prioritizing coasting kinetic energy recovery mode) or the second kinetic energy recovery mode (prioritizing engine kinetic energy recovery mode) based on the coasting speed. Coasting speed, as a key differentiating factor, may reflect the magnitude of the vehicle's current kinetic energy and potential differences in recovery efficiency. For example, at higher coasting speeds, the vehicle likely possesses greater kinetic energy. In such cases, prioritizing energy recovery through coasting (i.e., reducing braking intervention and extending the coasting distance) may be more efficient. Conversely, at lower coasting speeds, engine assistance may be necessary for more efficient energy recovery. Based on the coasting speed determination, the system selects and executes the corresponding energy recovery mode. In the first energy recovery mode, the system may primarily adjust the vehicle's braking or transmission system to extend the coasting distance and reduce braking intervention, thereby maximizing energy recovery during coasting. In the second energy recovery mode, the system may adjust the engine's operating state (e.g., adjusting engine speed and load) to allow the engine to also participate in energy recovery during coasting, improving recovery efficiency.

[0081] By setting preset battery power thresholds, the system can intelligently determine when to activate regenerative braking mode to replenish battery power, thereby preventing over-discharge or keeping the battery within a suitable power range. By avoiding over-discharge, this intelligent power management method helps extend battery life and reduce battery performance degradation caused by frequent deep discharges. Activating regenerative braking mode when the battery power is low can more effectively utilize the kinetic energy generated during vehicle operation, converting it into electrical energy and storing it, thereby improving overall energy efficiency. By intelligently determining when to enter regenerative braking mode, the system can ensure that the kinetic energy generated during vehicle operation is recovered to the maximum extent without affecting the driving experience. This judgment logic based on battery power thresholds is an important manifestation of the vehicle's intelligence level, enabling the vehicle to automatically adjust its operating mode according to real-time driving conditions and battery power status to adapt to different driving needs.

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

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

[0084] The first acquisition module acquires target parameters of the target vehicle's driving status once every first preset time interval. The target parameters include driving speed, remaining power of the high-voltage battery pack, and accelerator pedal status.

[0085] The first conversion module is used to convert the target parameters into computer parameters that the system can recognize;

[0086] The first processing module is used to determine the energy recovery mode of the target vehicle based on computer parameters.

[0087] The first adjustment module is used to adjust the energy recovery mode based on the target parameters acquired in real time.

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

[0089] According to the second aspect of this application, a control system for a hybrid vehicle's kinetic energy recovery mode acquires key parameters (driving speed, remaining charge of the high-voltage battery pack, and accelerator pedal status) of the target vehicle's driving state at first preset intervals via a first acquisition module. This system enables real-time monitoring of the vehicle's status. This high-frequency data acquisition helps to more accurately reflect the vehicle's current actual condition, thereby improving the system's real-time performance and the accuracy of parameter acquisition. A first conversion module converts the acquired target parameters into computer parameters that the system can recognize, providing a foundation for subsequent intelligent processing. Based on these computer parameters, a first processing module can intelligently determine the target vehicle's energy recovery mode. This process reduces human intervention and improves the intelligence level and response speed of decision-making. A first adjustment module can dynamically adjust the energy recovery mode according to the real-time acquired target parameters. This means that the system can flexibly adjust the energy recovery strategy according to the vehicle's actual operating conditions (such as changes in driving speed, battery charge, and driver's driving intentions) to achieve optimal energy management. This dynamic adjustment capability helps improve the vehicle's fuel economy or extend the electric vehicle's range. The adjusted energy recovery mode is output to the target vehicle via a first output module, ensuring that the driver can perceive the change in the energy recovery mode during driving. A well-designed energy recovery strategy not only improves vehicle fuel economy but also enhances overall user satisfaction through a smoother driving experience. By intelligently managing vehicle energy recovery, this system helps reduce unnecessary energy consumption. Particularly in hybrid vehicles, more effectively recovering braking and coasting energy significantly improves energy efficiency, thereby achieving energy conservation and emission reduction, and positively impacting environmental protection.

[0090] The control system for the kinetic energy recovery mode of a hybrid vehicle in this application embodiment can be a device with an operating system. This operating system can be Android, iOS, or other possible operating systems; this application embodiment does not specifically limit it.

[0091] Optionally, this application embodiment also provides a vehicle, including a processor, a memory, and a program or instructions stored in the memory and executable on the processor. When the program or instructions are executed by the processor, they implement the various processes of the above-described control method embodiment for a hybrid vehicle kinetic energy feedback mode and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0092] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described control method embodiment for a hybrid vehicle kinetic energy feedback mode and achieve the same technical effect. To avoid repetition, they will not be described again here.

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

[0094] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0095] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods of the various embodiments of this application.

[0096] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A control method for a kinetic energy feedback mode in a hybrid vehicle, characterized in that, The method includes: The target parameters, including coasting speed, are obtained under the driving state of the target vehicle. Based on the target parameters, it is determined whether the target vehicle has entered the kinetic energy recovery mode. The target parameters also include the remaining power of the target vehicle's high-voltage battery pack. If the target vehicle enters the kinetic energy recovery mode, the target vehicle enters either the first kinetic energy feedback mode or the second kinetic energy feedback mode based on the coasting speed; The first kinetic energy recovery mode is a priority coasting kinetic energy recovery mode, and the second kinetic energy recovery mode is a priority engine kinetic energy recovery mode; Specifically, determining whether the target vehicle enters the kinetic energy recovery mode based on the target parameters involves the following steps: the vehicle controller of the target vehicle compares the remaining charge of the high-voltage battery pack with a preset first threshold; if the remaining charge of the high-voltage battery pack is lower than the first threshold, the target vehicle enters the kinetic energy recovery mode; if the remaining charge of the high-voltage battery pack is higher than or equal to the first threshold, the target vehicle does not enter the kinetic energy recovery mode. The step of determining whether the target vehicle enters the first kinetic energy feedback mode or the second kinetic energy feedback mode based on the coasting speed specifically includes: the target vehicle controller comparing the coasting speed with a preset second threshold; if the coasting 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.

2. The control method for a hybrid vehicle kinetic energy feedback mode according to claim 1, 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's engine to reduce to the lowest target speed; 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 its speed and torque.

3. The control method for a hybrid vehicle kinetic energy feedback mode according to claim 2, 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 its power generation capacity. After the engine energy recovery has been completed for a period of time, the engine energy recovery will stop when the coasting speed of the target vehicle exceeds the second threshold. Once the engine speed drops to the minimum target speed, coasting energy recovery is performed.

4. The control method for a hybrid vehicle kinetic energy feedback mode according to claim 3, characterized in that, In the first kinetic energy recovery mode, when the kinetic energy recovery mode changes from coasting energy recovery to engine energy recovery, the driver can improve the efficiency of engine energy recovery by pressing the accelerator pedal of the target vehicle.

5. A control system for a kinetic energy recovery mode in a hybrid vehicle, characterized in that, A control method for implementing the kinetic energy recovery mode of a hybrid vehicle as described in any one of claims 1-4, the system comprising: The first acquisition module acquires target parameters of the target vehicle's driving status every first preset time interval. The target parameters include driving speed, remaining power of the high-voltage battery pack, and accelerator pedal status. The first conversion module is used to convert the target parameters into computer parameters that the system can recognize; The first processing module is used to determine the energy recovery mode of the target vehicle based on the computer parameters. The first adjustment module is used to adjust the energy recovery mode according to the target parameters acquired in real time; The first output module is used to output the energy recovery mode of the first adjustment module to the vehicle end of the target vehicle.

6. A vehicle, characterized in that, The device includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of a control method for a kinetic energy feedback mode of a hybrid vehicle as described in any one of claims 1-4.

7. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions, which, when executed by a processor, implement the steps of a control method for a hybrid vehicle kinetic energy feedback mode as described in any one of claims 1-4.

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