Vehicle control method and device and vehicle

Abstract

The invention discloses a vehicle control method and device and a vehicle, and belongs to the technical field of vehicles. The method comprises the following steps: acquiring a current running state parameter and a current driving behavior mode of a vehicle; based on the current running state parameter, the current driving behavior mode and historical running state parameters of the vehicle, a predicted driving intention is obtained, and the predicted driving intention is used for determining target running state parameters of the vehicle; and based on the predicted driving intention, adjusting the running state parameter of the vehicle to an intermediate running state parameter to prepare for adjusting the running state parameter of the vehicle to the target running state parameter. When a driver sends an instruction of switching the operation state, the vehicle can respond more quickly, and the driving safety is improved.

Description

Technical Field

[0001] This application belongs to the technical field of vehicles, and particularly relates to a control method, device and vehicle for a vehicle. Background Art

[0002] At present, the switching of the operating states such as the gear of a vehicle mainly depends on the operation instructions of the driver. For example, the driver inputs a shifting instruction through a shift lever or an electronic button, etc. After the system receives the shifting instruction, it makes a simple logical judgment and then sends a gear shifting request to the Transmission Control Unit (TCU). Although this method can realize the basic gear and mode switching functions, in emergency or complex driving scenarios, the system response is not fast enough, which may affect driving safety. Summary of the Invention

[0003] This application aims to solve at least one of the technical problems existing in the prior art. For this purpose, this application provides a control method, device and vehicle for a vehicle, which can make the vehicle respond faster and improve driving safety when the driver issues an instruction to switch the operating state.

[0004] In a first aspect, this application provides a control method for a vehicle, and the method includes:

[0005] Obtain the current operating state parameters and the current driving behavior mode of the vehicle;

[0006] Based on the current operating state parameters, the current driving behavior mode and the historical operating state parameters of the vehicle, obtain a predicted driving intention, and the predicted driving intention is used to determine the target operating state parameters of the vehicle;

[0007] Based on the predicted driving intention, adjust the operating state parameters of the vehicle to intermediate operating state parameters to prepare for adjusting the operating state parameters of the vehicle to the target operating state parameters.

[0008] According to the control method of the vehicle in this application, by analyzing the current operating state parameters, driving behavior mode and historical operating state parameters, obtain a predicted driving intention and determine the target operating state parameters, and adjust the vehicle to the intermediate operating state parameters to prepare for quickly switching to the target operating state parameters, so that when the driver issues an instruction corresponding to the predicted driving intention, the vehicle can respond faster and improve driving safety.

[0009] According to an embodiment of this application, the operating state parameters include at least one of the speed of the vehicle, the acceleration of the vehicle, the output power of the engine of the vehicle, the oil pressure of the transmission of the vehicle, and the position of the clutch of the vehicle.

[0010] According to an embodiment of the present application, obtaining a predicted driving intention based on the current operating state parameters, the current driving behavior pattern, and the historical operating state parameters of the vehicle includes:

[0011] Determining the driving habit of the driver on the vehicle based on the historical operating state parameters;

[0012] Obtaining the predicted driving intention based on the current operating state parameters, the current driving behavior pattern, and the driving habit.

[0013] According to an embodiment of the present application, after adjusting the operating state parameters of the vehicle to intermediate operating state parameters, the method further includes:

[0014] Performing a safety check on the vehicle;

[0015] In the case where the vehicle passes the safety check, adjusting the operating state parameters of the vehicle to the target operating state parameters.

[0016] According to an embodiment of the present application, the safety check includes at least one of a current vehicle speed check of the vehicle, a current engine speed check of the vehicle, a current first position check of the brake pedal of the vehicle, a current second position check of the accelerator pedal of the vehicle, and an oil temperature check of the transmission of the vehicle.

[0017] According to an embodiment of the present application, after adjusting the operating state parameters of the vehicle to intermediate operating state parameters, the method further includes:

[0018] Adjusting the operating state parameters of the vehicle to the target operating state parameters;

[0019] In the case where an abnormality occurs in the operation of the vehicle, restoring the operating state parameters of the vehicle to the current operating state parameters.

[0020] According to an embodiment of the present application, after obtaining the predicted driving intention, the method further includes:

[0021] In the case where the vehicle receives an emergency braking instruction, maintaining the operating state parameters of the vehicle as the current operating state parameters.

[0022] According to an embodiment of the present application, obtaining a predicted driving intention based on the current operating state parameters, the current driving behavior pattern, and the historical operating state parameters of the vehicle includes:

[0023] Based on the current operating state parameters, the current driving behavior pattern, and the historical operating state parameters of the vehicle, a random forest model is used to predict the driving intention of the driver in the vehicle, and the predicted driving intention is obtained.

[0024] In a second aspect, the present application provides a control device for a vehicle, the device includes:

[0025] An acquisition module, configured to acquire the current operating state parameters and the current driving behavior pattern of the vehicle;

[0026] A first processing module, configured to obtain a predicted driving intention based on the current operating state parameters, the current driving behavior pattern, and the historical operating state parameters of the vehicle, where the predicted driving intention is used to determine the target operating state parameters of the vehicle;

[0027] A second processing module, configured to adjust the operating state parameters of the vehicle to intermediate operating state parameters based on the predicted driving intention, so as to prepare for adjusting the operating state parameters of the vehicle to the target operating state parameters.

[0028] According to the control device for a vehicle of the present application, by analyzing the current operating state parameters, the driving behavior pattern, and the historical operating state parameters, a predicted driving intention is obtained and the target operating state parameters are determined, and the vehicle is adjusted to the intermediate operating state parameters to prepare for quickly switching to the target operating state parameters, so that when the driver issues an instruction corresponding to the predicted driving intention, the vehicle can respond faster, improving driving safety.

[0029] In a third aspect, the present application provides a vehicle, including:

[0030] The control device for a vehicle as described in the second aspect above.

[0031] According to the vehicle of the present application, by analyzing the current operating state parameters, the driving behavior pattern, and the historical operating state parameters, a predicted driving intention is obtained and the target operating state parameters are determined, and the vehicle is adjusted to the intermediate operating state parameters to prepare for quickly switching to the target operating state parameters, so that when the driver issues an instruction corresponding to the predicted driving intention, the vehicle can respond faster, improving driving safety.

[0032] In a fourth aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where when the processor executes the computer program, it implements the vehicle control method as described in the first aspect above.

[0033] Fifth aspect, the present application provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the vehicle control method as described in the first aspect above.

[0034] Sixth aspect, the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the vehicle control method as described in the first aspect above.

[0035] Additional aspects and advantages of the present application will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present application. Description of the Drawings

[0036] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the description of the embodiments in conjunction with the following drawings, where:

[0037] Figure 1 is one of the flow schematic diagrams of the vehicle control method provided by the embodiment of the present application;

[0038] Figure 2 is another flow schematic diagram of the vehicle control method provided by the embodiment of the present application;

[0039] Figure 3 is the structural schematic diagram of the vehicle control device provided by the embodiment of the present application;

[0040] Figure 4 is the structural schematic diagram of the electronic device provided by the embodiment of the present application. Detailed Embodiments

[0041] Next, the technical solutions in the embodiments of the present application will be clearly described in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of the present application.

[0042] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. generally belong to the same category, and do not limit the number of objects. For example, the first object can be one or multiple. In addition, "and / or" in the specification and claims means at least one of the connected objects, and the character " / " generally represents an "or" relationship between the associated objects before and after.

[0043] The following will combine the accompanying drawings and, through specific embodiments and their application scenarios, elaborate in detail on the vehicle control method, vehicle control device, vehicle, electronic device, and readable storage medium provided by the embodiments of the present application.

[0044] Among them, the vehicle control method can be applied to a terminal, and specifically can be executed by hardware or software in the terminal.

[0045] For the vehicle control method provided by the embodiments of the present application, the execution subject of this vehicle control method can be an electronic device or a functional module or functional entity in the electronic device that can implement this vehicle control method. Hereinafter, taking the electronic device as the execution subject as an example, the vehicle control method provided by the embodiments of the present application will be described.

[0046] As Figure 1 shown, this vehicle control method includes: Step 110, Step 120, and Step 130.

[0047] Step 110: Obtain the current operating state parameters and the current driving behavior pattern of the vehicle.

[0048] Among them, the current operating state parameters are a series of parameters that reflect the operation and performance of the vehicle in real time.

[0049] The current driving behavior pattern is the parameters corresponding to the vehicle driver's operation of the vehicle and the driver's behavioral actions. For example, the steering angle of the vehicle's steering wheel, the line of sight direction, and the operations on the brake and accelerator.

[0050] In this step, corresponding sensors can be set on the vehicle to obtain the current operating state parameters and the current driving behavior pattern.

[0051] Step 120: Based on the current operating state parameters, the current driving behavior pattern, and the historical operating state parameters of the vehicle, obtain a predicted driving intention, and the predicted driving intention is used to determine the target operating state parameters of the vehicle.

[0052] Among them, the historical operating state parameters are a series of parameters that reflect the operation and performance of the vehicle during a historical period, and the historical period can be the period from when the driver starts driving the vehicle to the current moment.

[0053] The predicted driving intention is the driving intention of the driver predicted by analyzing the current operating state parameters, the current driving behavior pattern, and the historical operating state parameters. The driving intention can include steering, lane change, acceleration, and deceleration, etc.

[0054] The target operating state parameters are the operating state parameters that the vehicle is expected to reach under the predicted driving intention. A mapping model between the driving intention and the operating state parameters can be established, and the predicted driving intention is input into the established mapping model to obtain the corresponding target operating state parameters.

[0055] In this step, a prediction model can be established by analyzing the current operating state parameters, driving behavior patterns, and historical operating state parameters and using machine learning algorithms, so as to realize the prediction of driving intention.

[0056] Step 130: Based on the predicted driving intention, adjust the operating state parameters of the vehicle to intermediate operating state parameters to prepare for adjusting the operating state parameters of the vehicle to the target operating state parameters.

[0057] Among them, the intermediate operating state parameters are transitional parameters pre-adjusted to achieve the switching from the current operating state parameters to the target operating state parameters, and the values of the intermediate operating state parameters are between the current operating state parameters and the target operating state parameters.

[0058] In this embodiment, according to the predicted driving intention, the target operating state parameters are obtained, and the intermediate operating state parameters between the current operating state parameters and the target operating state parameters are determined.

[0059] For example, the vehicle is currently in a constant-speed driving state. In the current operating state parameters, the current speed is 60 km / h and the current throttle opening is 60%. By analyzing the current operating state parameters, historical operating state parameters, and driving behavior patterns, it is determined that the predicted driving intention is to accelerate. According to the predicted driving intention, it is determined that the target speed in the target operating state parameters is 80 km / h and the target throttle opening is 80%. The intermediate operating state parameters are set to be between the current operating state parameters and the target operating state parameters, with an intermediate speed of 70 km / h and an intermediate throttle opening of 70%.

[0060] In the related art, the switching of the operating states such as the gear of the vehicle mainly depends on the driver's operation instructions. In emergency or complex driving scenarios, the system response is not fast enough, and in states such as high-speed driving, the driver is prone to misoperation, increasing the driving risk.

[0061] In the embodiments of the present application, by analyzing the current operating state parameters, the current driving behavior pattern, and the historical operating state parameters of the vehicle, a predicted driving intention is obtained, the target operating state parameters of the vehicle are determined, and the operating state parameters of the vehicle are adjusted to the intermediate operating state parameters, so as to prepare for adjusting the operating state parameters of the vehicle to the target operating state parameters. Without waiting for the driver to issue a clear operation instruction, once the predicted driving intention is detected, the operating state parameters of the vehicle can be immediately adjusted to make the vehicle ready to execute the predicted driving intention. When the driver issues a clear operation instruction, a faster operating state switch can be achieved, significantly shortening the response time and improving driving safety.

[0062] According to the vehicle control method provided by the embodiments of the present application, by analyzing the current operating state parameters, the driving behavior pattern, and the historical operating state parameters, a predicted driving intention is obtained and the target operating state parameters are determined. The vehicle is adjusted to the intermediate operating state parameters to prepare for quickly switching to the target operating state parameters, so that when the driver issues an instruction corresponding to the predicted driving intention, the vehicle can respond faster, improving driving safety.

[0063] In some embodiments, the operating state parameters include at least one of the vehicle speed, the vehicle acceleration, the output power of the vehicle engine, the oil pressure of the vehicle transmission, and the position of the vehicle clutch.

[0064] Wherein, the oil pressure of the transmission is the working pressure of the internal hydraulic system of the transmission, and the position of the vehicle clutch is the position of the clutch pedal or the clutch mechanism, which can be expressed as a percentage or an angle.

[0065] It should be noted that the vehicle speed, the vehicle acceleration, the output power of the vehicle engine, the oil pressure of the vehicle transmission, and the position of the vehicle clutch are parameters that can be adjusted to the intermediate operating state. That is, by adjusting at least one of the vehicle speed, the vehicle acceleration, the output power of the vehicle engine, the oil pressure of the vehicle transmission, and the position of the vehicle clutch to the intermediate operating state, it is prepared for adjusting the operating state parameters of the vehicle to the target operating state parameters.

[0066] The operating state parameters may also include other parameters, and the other parameters may be directly adjusted to the target operating state without being adjusted to the intermediate operating state for transition.

[0067] In some embodiments, obtaining a predicted driving intention based on the current operating state parameters, the current driving behavior pattern, and the historical operating state parameters of the vehicle includes:

[0068] Based on the historical operating state parameters, determining the driving habit of the driver on the vehicle;

[0069] Based on the current operating state parameters, the current driving behavior pattern, and driving habits, a predicted driving intention is obtained.

[0070] Among them, driving habits refer to the preferences shown by the driver during the process of driving a vehicle.

[0071] In this embodiment, the historical operating state parameters can be analyzed through an adaptive learning system to further analyze the driver's driving behavior, such as acceleration habits, braking reactions, steering angles, gear selections, etc., so as to gradually understand and adapt to the driver's driving style. Such personalized customization can not only improve the comfort of driving, but also enable the vehicle to better cooperate with the driver, reducing unnecessary interventions and misunderstandings.

[0072] The adaptive learning system can identify the driver's preferences in different scenarios. For example, the driver may be more inclined to keep a higher gear on the highway to save fuel, while preferring a lower gear in urban congested sections to obtain better acceleration response. Through continuous learning, the system can automatically adjust the switching logic to make gear shifting more in line with the driver's expectations.

[0073] In this embodiment, by analyzing the current operating state parameters, driving behavior pattern, and driving habits, a prediction model can be established using machine learning algorithms to achieve the prediction of driving intention.

[0074] It should be noted that the adaptive learning system can also improve driving safety to a certain extent. By monitoring the driver's driving behavior and vehicle state, the system can timely detect potential driving risks and take corresponding preventive measures. For example, when detecting that the driver is fatigued or distracted while driving, the system may issue a warning or take auxiliary braking and other measures to reduce the likelihood of accidents.

[0075] The adaptive learning system is a process of continuous learning and evolution. With the accumulation of driving data and the in-depth analysis, the system's understanding of the driver's driving habits and driving environment will become more accurate and comprehensive. This ability of continuous learning and evolution enables the adaptive learning system to provide more accurate and personalized services in different driving scenarios.

[0076] In some embodiments, after adjusting the operating state parameters of the vehicle to intermediate operating state parameters, the method further includes:

[0077] Performing a safety check on the vehicle;

[0078] In the case where the vehicle passes the safety check, adjusting the operating state parameters of the vehicle to target operating state parameters.

[0079] Among them, the safety check is an inspection of whether the current operating state of the vehicle meets the switching requirements.

[0080] In this embodiment, during the process of switching the operating state parameters to the target operating state parameters, the operating state of the vehicle is continuously monitored. Once the operating state does not meet the switching requirements, the switching is immediately interrupted and an error message is fed back.

[0081] In this embodiment, a safety check is performed on the vehicle. After the vehicle passes the safety check, the operating state is switched. This can cause the vehicle to postpone or cancel the operating state switch when it is not suitable to switch the operating state, improving driving safety.

[0082] In some embodiments, the safety check includes at least one of the current vehicle speed check of the vehicle, the current engine speed check of the vehicle, the current first position check of the brake pedal of the vehicle, the current second position check of the accelerator pedal of the vehicle, and the oil temperature check of the transmission of the vehicle.

[0083] Among them, the current vehicle speed check is to check whether the vehicle speed at the current moment is within the preset vehicle speed range. The current speed check is to check whether the engine speed at the current moment is within the preset speed range. The current first position check is to check whether the brake pedal is in the preset first position range at the current moment. The current second position check is to check whether the accelerator pedal is in the preset second position range at the current moment. The oil temperature check is to check whether the oil temperature of the transmission is within the preset temperature range at the current moment.

[0084] In this embodiment, when the vehicle speed of the vehicle at the current moment is within the preset vehicle speed range, the engine speed at the current moment is within the preset speed range, the brake pedal is in the preset first position range at the current moment, the accelerator pedal is in the preset second position range at the current moment, and the oil temperature of the transmission is within the preset temperature range at the current moment, the vehicle passes the safety check.

[0085] The following introduces a specific embodiment of performing a safety check on the vehicle.

[0086] In this embodiment, the gear in the operating state parameters is switched.

[0087] Step 1: Real-time monitor various data related to gear shifting. These data can include vehicle speed, engine speed, brake state, accelerator pedal position, and transmission oil temperature.

[0088] Among them, the vehicle speed is the current speed of the vehicle and is an important basis for judging whether gear shifting can be performed. Different speed intervals correspond to different gear selections. The engine speed is closely related to gear shifting and can reflect the power output state of the vehicle. The brake state includes whether the brake is depressed and the braking force. The driver's operation of the accelerator pedal reflects their intention to accelerate or decelerate. Too high or too low oil temperature inside the transmission may affect the shifting performance.

[0089] Step 2: After collecting various data related to gear shifting, process and analyze these data according to the preset shifting logic and algorithm to verify whether the shifting conditions are met.

[0090] Verifying whether the shifting conditions are met includes determining whether the current vehicle speed is within the recommended speed range of the target gear; determining whether the engine speed matches the target gear to ensure the smoothness of the shifting process; if the brake is depressed, determining whether it is an emergency braking situation to decide whether to pause or cancel the shifting operation; by analyzing information such as the accelerator pedal position, identifying the driver's intention to accelerate or decelerate to ensure that the shifting operation is consistent with the driver's expectation.

[0091] Step 3: After confirming that the shifting conditions are met, further safety assessments can be carried out, including checking the environment around the vehicle, such as whether there are other vehicles or obstacles approaching, and whether the current road conditions allow the shifting operation. If the safety assessment results show potential risks, the shifting operation may be postponed or cancelled.

[0092] Step 4: Passing all verifications and safety assessments indicates that the vehicle passes the safety check, and the shifting operation begins. During the shifting process, the vehicle status can also be continuously monitored to ensure the smooth progress of the shifting process. If abnormal situations occur, such as a sudden increase or decrease in the engine speed, abnormal transmission oil temperature, etc., the shifting operation can be immediately interrupted and necessary protection measures can be taken.

[0093] Step 5: After the shifting operation is completed, feedback information such as shifting time and shifting smoothness can be collected to evaluate the shifting effect. At the same time, the shifting logic and algorithm can also be fine-tuned according to the real-time data and feedback information to adapt to different driving scenarios and driver habits.

[0094] In some embodiments, after adjusting the operating state parameters of the vehicle to intermediate operating state parameters, the method further includes:

[0095] Adjust the operating state parameters of the vehicle to target operating state parameters;

[0096] In the case of abnormal vehicle operation, restore the operating state parameters of the vehicle to the current operating state parameters.

[0097] In this embodiment, after adjusting the operating state parameters of the vehicle to the target operating state parameters, continuously detect the vehicle status and collect feedback information to evaluate the switching effect. When any problems or abnormal situations are found, take corrective measures in a timely manner to restore the operating state parameters of the vehicle to the operating state parameters before determining the predicted driving intention, that is, the current operating state parameters, and issue a warning to the driver.

[0098] In this embodiment, in the case of abnormal vehicle operation, restoring the vehicle's operating state parameters to the current operating state parameters can enable the vehicle to quickly resume normal operation and ensure driving safety.

[0099] In some embodiments, after obtaining the predicted driving intention, the method further includes:

[0100] In the case where the vehicle receives an emergency braking instruction, keep the vehicle's operating state parameters as the current operating state parameters.

[0101] In this embodiment, when the driver depresses the brake pedal or the vehicle receives other emergency braking signals such as the vehicle out of control detected by the electronic stability control system, an emergency braking is triggered. The vehicle's control system immediately evaluates the current state of the vehicle and all ongoing operations. If it is found that any operation or function may affect the braking effect, the system immediately interrupts or pauses these operations and allocates all resources to the braking system to ensure the maximization of braking force and the fastest braking response.

[0102] In this embodiment, in the case where the vehicle receives an emergency braking instruction, immediately interrupt all non-emergency operating state switching requests and keep the vehicle's operating state parameters as the current operating state parameters, which can ensure driving safety.

[0103] In some embodiments, obtaining the predicted driving intention based on the current operating state parameters, the current driving behavior pattern, and the vehicle's historical operating state parameters includes:

[0104] Based on the current operating state parameters, the current driving behavior pattern, and the vehicle's historical operating state parameters, use a random forest model to predict the driving intention of the driver on the vehicle to obtain the predicted driving intention.

[0105] Among them, the random forest model is an ensemble learning model based on decision trees. The random forest model improves the overall prediction accuracy by constructing multiple decision trees and aggregating their prediction results.

[0106] The following introduces a specific embodiment of predicting the driving intention of the driver on the vehicle through a random forest model.

[0107] Step 1: Prepare data. Collect data such as vehicle speed, acceleration, gear change, fuel consumption, fault codes, etc. during the historical period as the historical operating state parameters.

[0108] Obtain information such as the vehicle speed, acceleration, engine speed, brake state, throttle opening, etc. in real time as the current operating state parameters.

[0109] Collect the driver's behavior data through sensors such as cameras, steering wheel angle sensors, brake sensors, and accelerator pedal sensors, such as steering wheel angle, line of sight direction, braking and accelerator operation habits, etc., as the current driving behavior pattern.

[0110] Step 2: Perform feature engineering. First, perform data cleaning to handle missing values, outliers, and noise data to ensure data quality, and then perform feature selection to extract features useful for predicting the driver's intention from the original data, such as rate of speed change, acceleration pattern, steering wheel angle stability, frequency and intensity of brake / accelerator operations, etc.

[0111] Step 3: Perform model training. Build a random forest model and use the processed data to train the random forest model. During the training process, the algorithm randomly selects some features and some data to build multiple decision trees, and each tree will make predictions independently.

[0112] Step 4: Perform parameter tuning. Adjust the parameters of the random forest, such as the number of trees, maximum depth, minimum number of samples required to split a node, etc., through methods such as cross-validation to optimize the prediction performance of the model.

[0113] Step 5: Prediction and response. Perform real-time prediction. Input the processed current operating state parameters, current driving behavior pattern, and historical operating state parameters of the vehicle into the trained random forest model. The random forest model outputs predicted driving intentions, such as turning, lane changing, accelerating, and decelerating, etc.

[0114] Step 6: According to the predicted driving intention, the vehicle's Vehicle Control Unit (VCU) or autonomous driving system prepares for gear shifting, adjusts the engine output power, etc. in advance to reduce the response time when the driver actually performs the operation.

[0115] The vehicle control method provided by the embodiments of this application performs multi-source information fusion, integrates multi-sensor data such as vehicle speed, brakes, accelerator pedal, and steering wheel angle, comprehensively judges the driving environment, and improves the accuracy of switching decisions.

[0116] Perform data collection and preprocessing. The vehicle speed sensor, brake pressure sensor, and accelerator pedal position sensor installed on the vehicle will collect key data on vehicle operation in real time, that is, operating state parameters.

[0117] Perform real-time monitoring. During the decision-making process of switching operating state parameters, the control system monitors sensor data in real time, including continuously tracking the vehicle speed to understand the current speed and acceleration of the vehicle; monitoring the brake state to judge whether the driver has the intention to decelerate or stop; and monitoring the accelerator pedal position to understand the driver's expectation for vehicle acceleration.

[0118] For comprehensive analysis, the control system combines the real-time monitored data with other vehicle state information, such as engine speed, transmission oil temperature, etc., and the preset algorithms and rules for comprehensive evaluation.

[0119] For decision-making, based on the results of comprehensive analysis, the control system formulates the optimal operating state parameter switching strategy, including selecting the appropriate gear, adjusting the engine output torque, and optimizing the gear shifting timing of the transmission, etc. The goal of decision-making is to make the operating state parameter switching process smooth, rapid and efficient to improve driving comfort and fuel economy.

[0120] For execution and feedback, the control system transmits the decision result to the actuators such as the transmission actuator to implement the operating state parameter switching.

[0121] The following introduces a specific embodiment of a vehicle control method, which is executed by the control system of the vehicle.

[0122] In this embodiment, the gear in the operating state parameters and the vehicle operating mode are switched.

[0123] As Figure 2 shown, Step 1: Initialization. After the control system is powered on, the Power Management System (PMS) initializes the target gear to N gear and the target mode to A mode.

[0124] Step 2: Driver operation detection. The Extended Global System for Mobile Communication (EGSM) receives the driver operation signals, such as Up / Down, A / M switching, etc., and sends them to the PMS.

[0125] Step 3: Intelligent prediction and decision-making. The PMS combines the current operating state parameters, the current driving behavior mode and the vehicle's historical operating state parameters, and obtains the predicted driving intention through machine learning algorithms, and prepares the corresponding gear or mode switching request.

[0126] Step 4: Safety verification. The PMS dynamically verifies the shifting conditions, including whether the brake is depressed, whether the vehicle speed is safe, etc.

[0127] Step 5: Send switching request. If the vehicle passes the verification, the PMS sends a gear or mode switching request to the Transmission Control Unit (TCU).

[0128] Step 6: TCU execution and feedback. The TCU executes the switching operation and feeds back the actual gear or mode state to the PMS.

[0129] Step 7, User feedback: Based on the feedback from the TCU, the PMS displays the current gear or mode status to the driver through the Digital Cockpit Head Unit (DHU) and issues an error reminder if necessary.

[0130] Step 8, Emergency braking priority: If an emergency braking signal is detected, the PMS immediately interrupts all non-emergency switching requests to ensure driving safety.

[0131] Among them, when the driver operates the EGSM, the control system identifies it as an RNDM+-gear shift request based on the operation time and direction, where R is reverse gear, N is neutral gear, D is forward gear, and M is manual mode.

[0132] The PMS combines conditions such as the current vehicle speed and braking status to determine whether to execute the gear shift request.

[0133] If the conditions are met, the PMS sends a switching request to the TCU; if the conditions are not met, the current gear is maintained and an error reminder is issued.

[0134] After the TCU executes the switching operation, it feeds back the actual gear status to the PMS.

[0135] The PMS displays the current gear status to the driver through the DHU and provides an error reminder or operation guidance if necessary.

[0136] During the entire switching process, the system continuously monitors the shifting conditions to ensure the safety and rationality of the switching operation. If an emergency braking signal is detected, all non-emergency switching requests are immediately interrupted.

[0137] The vehicle control method provided by the embodiment of the present application can solve the technical problems such as slow response speed, high risk of misoperation, and poor user experience in the gear and mode switching system of the vehicle in the related art. By introducing innovative points such as intelligent prediction and decision-making algorithms, multi-source information fusion, dynamic safety verification, and user behavior learning and adaptation, the accuracy, real-time performance, and safety of vehicle gear and mode switching are improved.

[0138] Perform intelligent prediction: Analyze the driver's operating habits and vehicle status data through machine learning algorithms, predict the driver's next operation intention, and prepare the corresponding gear shift request in advance.

[0139] Perform comprehensive judgment: Use multi-source sensor data to monitor and comprehensively analyze the vehicle speed, braking status, accelerator pedal position, etc. in real time to ensure the accuracy and rationality of gear shifting.

[0140] Perform dynamic verification. During the gear shifting process, continuously verify the shifting conditions to ensure that the shifting operation is performed under the premise of safety.

[0141] Perform adaptive learning. The system continuously optimizes the shifting logic based on the driver's driving habits and operation feedback to provide a more personalized driving experience.

[0142] Emergency braking takes precedence. In the case of emergency braking, the system immediately interrupts all non-emergency shifting requests to ensure the safety and stability of the vehicle.

[0143] The vehicle control method provided by the embodiments of the present application can prepare a shifting request in advance through an intelligent prediction algorithm, significantly reducing the response time. The multi-source information fusion and dynamic safety verification mechanism ensure the safety and accuracy of the shifting operation, reducing the risk of misoperation. The user behavior learning and adaptive function provide a shifting logic that conforms to the individual driving habits, and the emergency braking precedence strategy ensures the priority of driving safety in case of emergency.

[0144] For the vehicle control method provided by the embodiments of the present application, the execution subject can be a vehicle control device. In the embodiments of the present application, taking the vehicle control device executing the vehicle control method as an example, the vehicle control device provided by the embodiments of the present application is described.

[0145] The embodiments of the present application also provide a vehicle control device.

[0146] As Figure 3 shown, the vehicle control device includes:

[0147] An acquisition module 310, configured to acquire the current operating state parameters and the current driving behavior mode of the vehicle;

[0148] A first processing module 320, configured to obtain a predicted driving intention based on the current operating state parameters, the current driving behavior mode, and the historical operating state parameters of the vehicle, where the predicted driving intention is used to determine the target operating state parameters of the vehicle;

[0149] A second processing module 330, configured to adjust the operating state parameters of the vehicle to intermediate operating state parameters based on the predicted driving intention to prepare for adjusting the operating state parameters of the vehicle to the target operating state parameters.

[0150] According to the vehicle control device provided by the embodiments of the present application, by analyzing the current operating state parameters, the driving behavior mode, and the historical operating state parameters, a predicted driving intention is obtained and the target operating state parameters are determined, and the vehicle is adjusted to the intermediate operating state parameters to prepare for quickly switching to the target operating state parameters, so that when the driver issues an instruction corresponding to the predicted driving intention, the vehicle can respond faster, improving driving safety.

[0151] In some embodiments, the operating state parameters include at least one of the vehicle speed, the vehicle acceleration, the output power of the vehicle engine, the oil pressure of the vehicle transmission, and the position of the vehicle clutch.

[0152] In some embodiments, the first processing module 320 is configured to determine the driving habit of the driver on the vehicle based on historical operating state parameters;

[0153] Based on the current operating state parameters, the current driving behavior pattern, and the driving habit, obtain a predicted driving intention.

[0154] In some embodiments, the second processing module 330 is further configured to perform a safety check on the vehicle;

[0155] In the case where the vehicle passes the safety check, adjust the operating state parameters of the vehicle to target operating state parameters.

[0156] In some embodiments, the safety check includes at least one of the current vehicle speed check of the vehicle, the current engine speed check of the vehicle, the current first position check of the vehicle brake pedal, the current second position check of the vehicle accelerator pedal, and the oil temperature check of the vehicle transmission.

[0157] In some embodiments, the second processing module 330 is further configured to adjust the operating state parameters of the vehicle to target operating state parameters;

[0158] In the case where an abnormality occurs in the vehicle operation, restore the operating state parameters of the vehicle to the current operating state parameters.

[0159] In some embodiments, the second processing module 330 is further configured to keep the operating state parameters of the vehicle as the current operating state parameters when the vehicle receives an emergency braking instruction.

[0160] In some embodiments, the first processing module 320 is configured to predict the driving intention of the driver on the vehicle through a random forest model based on the current operating state parameters, the current driving behavior pattern, and the historical operating state parameters of the vehicle, and obtain a predicted driving intention.

[0161] The control device of the vehicle in the embodiments of the present application may be an electronic device or a component in the electronic device, such as an integrated circuit or a chip. The electronic device may be a terminal or other devices other than the terminal.

[0162] The control device of the vehicle in the embodiments of the present application may be a device with an operating system. The operating system may be the Android operating system, the IOS operating system, or other possible operating systems, which are not specifically limited in the embodiments of the present application.

[0163] The control device of the vehicle provided by the embodiments of the present application can implement Figure 1 and Figure 2 each process implemented by the method embodiments. To avoid repetition, they will not be elaborated here.

[0164] The embodiments of the present application also provide a vehicle.

[0165] The vehicle includes the control device of the vehicle as described above.

[0166] According to the vehicle provided by the embodiments of the present application, by analyzing the current operating state parameters, driving behavior patterns, and historical operating state parameters, a predicted driving intention is obtained and the target operating state parameters are determined, and the vehicle is adjusted to the intermediate operating state parameters to prepare for quickly switching to the target operating state parameters, so that when the driver issues an instruction corresponding to the predicted driving intention, the vehicle can respond faster, improving driving safety.

[0167] In some embodiments, as Figure 4 shown, the embodiments of the present application also provide an electronic device 400, including a processor 401, a memory 402, and a computer program stored on the memory 402 and executable on the processor 401. When the program is executed by the processor 401, it implements each process of the method embodiment of the above vehicle control method, and can achieve the same technical effect. To avoid repetition, they will not be elaborated here.

[0168] It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

[0169] The embodiments of the present application also provide a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements each process of the method embodiment of the above vehicle control method, and can achieve the same technical effect. To avoid repetition, they will not be elaborated here.

[0170] Wherein, 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, etc.

[0171] The embodiments of the present application also provide a computer program product, including a computer program, which implements the above vehicle control method when executed by a processor.

[0172] Wherein, 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, etc.

[0173] Another embodiment of the present application further provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is configured to run programs or instructions to implement each process of the above-mentioned embodiment of the vehicle control method, and can achieve the same technical effects. To avoid repetition, details are not described herein again.

[0174] It should be understood that the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, system chip, chip system, or system-on-chip, etc.

[0175] It should be noted that in this document, the term "comprising", "including" or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "comprising a..." does not exclude the presence of additional identical elements in the process, method, article or device comprising that element. In addition, it should be pointed out that the methods and devices in the embodiments of the present application are not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in a reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0176] Through the description of the above embodiments, 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. 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 the present application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions for causing a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present application.

[0177] The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above specific embodiments. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present application, those of ordinary skill in the art can also make many forms without departing from the purpose of the present application and the scope protected by the claims, and all of them belong to the protection scope of the present application.

[0178] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "schematic embodiments", "examples", "specific examples", or "some examples", etc., mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0179] Although the embodiments of the present application have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the claims and their equivalents.

Claims

1. A control method for a vehicle, characterized in that, Including: Obtain the current operating state parameters and the current driving behavior mode of the vehicle; Based on the current operating state parameters, the current driving behavior mode, and the historical operating state parameters of the vehicle, obtain a predicted driving intention, where the predicted driving intention is used to determine the target operating state parameters of the vehicle; Based on the predicted driving intention, adjust the operating state parameters of the vehicle to intermediate operating state parameters to prepare for adjusting the operating state parameters of the vehicle to the target operating state parameters.

2. The control method of a vehicle according to claim 1, characterized in that, The operating state parameters include at least one of the speed of the vehicle, the acceleration of the vehicle, the output power of the engine of the vehicle, the oil pressure of the transmission of the vehicle, and the position of the clutch of the vehicle.

3. The control method of the vehicle according to claim 1, characterized in that, The obtaining a predicted driving intention based on the current operating state parameters, the current driving behavior mode, and the historical operating state parameters of the vehicle includes: Based on the historical operating state parameters, determine the driving habit of the driver on the vehicle; Based on the current operating state parameters, the current driving behavior mode, and the driving habit, obtain the predicted driving intention.

4. The control method of the vehicle according to any one of claims 1-3, characterized in that, After adjusting the operating state parameters of the vehicle to intermediate operating state parameters, the method further includes: Perform a safety check on the vehicle; In the case where the vehicle passes the safety check, adjust the operating state parameters of the vehicle to the target operating state parameters.

5. The control method of a vehicle according to claim 4, wherein The safety check includes at least one of the current vehicle speed check of the vehicle, the current engine speed check of the vehicle, the current first position check of the brake pedal of the vehicle, the current second position check of the accelerator pedal of the vehicle, and the oil temperature check of the transmission of the vehicle.

6. The control method of a vehicle according to any one of claims 1-3, characterized in that After adjusting the operating state parameters of the vehicle to intermediate operating state parameters, the method further includes: Adjust the operating state parameters of the vehicle to the target operating state parameters; In the case where the vehicle operation is abnormal, restore the operating state parameters of the vehicle to the current operating state parameters.

7. The control method of a vehicle according to any one of claims 1-3, characterized in that After obtaining the predicted driving intention, the method further includes: In the case where the vehicle receives an emergency braking instruction, keep the operating state parameters of the vehicle as the current operating state parameters.

8. The control method of a vehicle according to any one of claims 1-3, characterized in that The obtaining a predicted driving intention based on the current operating state parameters, the current driving behavior mode, and the historical operating state parameters of the vehicle includes: Based on the current operating state parameters, the current driving behavior mode, and the historical operating state parameters of the vehicle, predict the driving intention of the driver on the vehicle through a random forest model to obtain the predicted driving intention.

9. A control device for a vehicle, characterized in that, Including: An obtaining module, configured to obtain the current operating state parameters and the current driving behavior mode of the vehicle; A first processing module, configured to obtain a predicted driving intention based on the current operating state parameters, the current driving behavior mode, and the historical operating state parameters of the vehicle, where the predicted driving intention is used to determine the target operating state parameters of the vehicle; A second processing module, configured to adjust the operating state parameters of the vehicle to intermediate operating state parameters based on the predicted driving intention, so as to prepare for adjusting the operating state parameters of the vehicle to the target operating state parameters.

10. A vehicle, characterized in that, Comprising: The vehicle control device according to claim 9.

11. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, the control method of the vehicle according to any one of claims 1-8 is implemented.

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