Driving mode switching method and device based on driver behaviors, equipment and medium

Abstract

The invention discloses a driving mode switching method and device based on driver behaviors, equipment and a medium, and relates to the technical field of vehicle control. The method comprises the following steps: acquiring an accelerator treading frequency, an accelerator treading depth, a brake treading frequency and a brake treading depth within a preset time, matching the vehicle speed and the accelerator treading frequency, the accelerator treading depth, the brake treading frequency and the brake treading depth within the preset time with an evaluation function to obtain a driving working condition, and determining the vehicle speed according to the driving working condition. And switching the vehicle driving mode. The driving mode is switched by collecting the driver behavior data and the vehicle speed, analyzing the accelerator and brake operation frequency and depth within the preset time and combining the evaluation function to determine the driving working condition, the driving mode is adaptively switched by adjusting the driver behavior in real time, the driving safety is improved, and the driving experience is improved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle control technology, and in particular to a driving mode switching method, device, equipment and medium based on driver behavior. Background Art

[0002] With the development of automobile technology, the choice of driving mode has become an important means to improve driving experience and vehicle performance. Modern cars, especially new energy vehicles, are usually equipped with multiple driving modes, such as economy mode, comfort mode and sports mode, to adapt to different driving needs and road conditions. These modes meet the driver's different preferences for comfort, economy and power by adjusting vehicle parameters such as throttle response, gear shifting logic and power output.

[0003] However, traditional driving mode selection relies on the driver's subjective judgment and manual switching, and driving mode switching is mainly based on a preset accelerator pedal curve, which limits the optimal performance of the vehicle and the effective use of energy.

[0004] Although the existing driving mode switching technology has made some progress, it still has obvious shortcomings. The existing technology mainly focuses on the driving comfort of traditional fuel vehicles, and cannot simultaneously meet the energy consumption economy and comfort of pure electric vehicles. In pure electric vehicles, the balance between energy consumption and power output is particularly important, and there is no dynamic adjustment based on real-time driving behavior and road conditions, and it cannot adapt to the rapidly changing traffic environment and driving behavior in real time. Therefore, there is an urgent need for a driving mode switching method based on the driver's driving behavior to switch the vehicle driving mode. Summary of the invention

[0005] The main purpose of this application is to provide a driving mode switching method, device, equipment and medium based on driver behavior, aiming to solve the technical problem of how to switch the vehicle driving mode in real time according to the driver's driving behavior.

[0006] To achieve the above objectives, the present application proposes a driving mode switching method based on driver behavior, the method comprising:

[0007] Obtain driver behavior data and vehicle speed;

[0008] According to the driver behavior data, the number of accelerator pedaling times, the accelerator pedaling depth, the number of brake pedaling times and the brake pedaling depth within a preset time are obtained;

[0009] According to the vehicle speed and the number of accelerator pedaling times, the accelerator pedaling depth, the brake pedaling times and the brake pedaling depth within the preset time, the driving condition is obtained by matching the evaluation function, wherein the evaluation function sets corresponding thresholds for the number of accelerator pedaling times, the accelerator pedaling depth, the brake pedaling times and the brake pedaling depth and then performs evaluation;

[0010] The vehicle driving mode is switched according to the driving condition.

[0011] In one embodiment, the step of obtaining the driving condition by matching the vehicle speed and the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth within the preset time with an evaluation function includes:

[0012] When the vehicle speed is less than the first speed threshold, the number of accelerator pedaling times within the preset time is greater than the first preset number of pedaling times, the accelerator pedaling depth within the preset time exceeds the first preset depth, and the accelerator pedaling depth within the preset time does not exceed the second preset depth, the driving condition is obtained as a congested driving condition;

[0013] When the vehicle speed is greater than the second speed threshold, the number of accelerator pedaling times within the preset time is less than the second preset pedaling times, and the accelerator pedaling depth within the preset time exceeds the second preset depth, the driving condition is obtained as a smooth driving condition, wherein the first speed threshold is less than the second speed threshold, the first preset pedaling times is greater than the second preset pedaling times, and the first preset depth is less than the second preset depth.

[0014] In one embodiment, after the step of obtaining that the driving condition is a smooth driving condition when the vehicle speed is greater than a second speed threshold, the number of accelerator pedaling times within the preset time is less than a second preset number of pedaling times, and the accelerator pedaling depth within the preset time exceeds a second preset depth, the step further includes:

[0015] When the driving condition is neither a congested condition nor a smooth condition, the driving condition is obtained to be a normal driving condition.

[0016] In one embodiment, the evaluation function sets corresponding thresholds for the accelerator pedaling times, the accelerator pedaling depth, the brake pedaling times and the brake pedaling depth and then performs the evaluation, and further includes:

[0017] Obtain historical driver behavior data;

[0018] According to the historical driver behavior data, the thresholds of the number of accelerator pedal depressions, the accelerator pedal depth, the number of brake pedal depressions and the brake pedal depth in the evaluation function are adjusted.

[0019] In one embodiment, the step of switching the vehicle driving mode under the driving condition includes:

[0020] When the driving condition is a congested driving condition, switching the vehicle driving mode to an economic mode;

[0021] When the driving condition is a smooth driving condition, switching the vehicle driving mode to a sports mode;

[0022] When the driving condition is a normal driving state, the current vehicle driving mode is maintained.

[0023] In one embodiment, the step of switching the vehicle driving mode according to the driving condition further includes:

[0024] Learning based on the driver behavior data to obtain the driver's driving habits;

[0025] According to the driving habits of the driver, setting the switching logic and parameters of the driving mode;

[0026] According to the switching logic and the parameters, the vehicle driving mode is switched.

[0027] In one embodiment, the step of switching the vehicle driving mode according to the driving condition further includes:

[0028] Get the vehicle's acceleration and steering status;

[0029] determining whether the vehicle is in a turning state according to the acceleration and the steering state;

[0030] When the vehicle is turning, switch the vehicle driving mode to economic mode.

[0031] In addition, to achieve the above-mentioned purpose, the present application also proposes a driving mode switching device based on driver behavior, and the driving mode switching device based on driver behavior includes:

[0032] An acquisition module, used to acquire driver behavior data and vehicle speed;

[0033] An analysis module is used to obtain the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth within a preset time according to the driver behavior data;

[0034] A judgment module, used for matching the vehicle speed and the number of accelerator pedaling times, the accelerator pedaling depth, the brake pedaling times and the brake pedaling depth within the preset time with an evaluation function to obtain a driving condition, wherein the evaluation function sets corresponding thresholds for the number of accelerator pedaling times, the accelerator pedaling depth, the brake pedaling times and the brake pedaling depth and then performs evaluation;

[0035] The execution module is used to switch the vehicle driving mode according to the driving condition.

[0036] In addition, to achieve the above-mentioned purpose, the present application also proposes a medium, which is a computer-readable medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the driving mode switching method based on driver behavior as described above are implemented.

[0037] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the driving mode switching method based on driver behavior as described above.

[0038] This application obtains driver behavior data and vehicle speed, and obtains the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth within a preset time according to the driver behavior data, and matches the vehicle speed and the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth within a preset time with the evaluation function to obtain the driving condition, and switches the vehicle driving mode according to the driving condition. By collecting driver behavior data and vehicle speed, analyzing the frequency and depth of accelerator and brake operation within a preset time, and combining the evaluation function to determine the driving condition, the driving mode is switched accordingly, and the driving mode is adaptively switched by adjusting the driver's behavior in real time, thereby improving driving safety and fuel economy and driving experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0040] Figure 1 This is a flow chart of a first embodiment of a driving mode switching method based on driver behavior of the present application;

[0041] Figure 2 This is a flow chart of a second embodiment of a driving mode switching method based on driver behavior of the present application;

[0042] Figure 3 This is a flow chart of a third embodiment of a driving mode switching method based on driver behavior of the present application;

[0043] Figure 4 This is a schematic diagram of the module structure of a driving mode switching device based on driver behavior according to an embodiment of the present application;

[0044] Figure 5 Schematic diagram of the device structure of the hardware operating environment involved in the driving mode switching method based on driver behavior in an embodiment of the present application.

[0045] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0046] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0047] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0048] The main solution of the embodiment of the present application is: to obtain the driver behavior data and the vehicle speed, and to obtain the number of accelerator pedaling times, the accelerator pedaling depth, the brake pedaling times and the brake pedaling depth within a preset time according to the driver behavior data; to match the vehicle speed and the number of accelerator pedaling times, the accelerator pedaling depth, the brake pedaling times and the brake pedaling depth within the preset time with the evaluation function to obtain the driving condition, and to switch the vehicle driving mode according to the driving condition.

[0049] Based on this, the embodiment of the present application provides a driving mode switching method based on driver behavior, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the driving mode switching method based on driver behavior of the present application.

[0050] In this embodiment, the driving mode switching method based on driver behavior includes steps S10 to S40:

[0051] Step S10, obtaining driver behavior data and vehicle speed.

[0052] It should be noted that the camera, accelerometer, gyroscope and other sensors installed inside the vehicle can capture the driver's behavioral characteristics in real time, such as head posture, eye movement, facial expression changes, etc., and then evaluate the driver's state, such as whether he is in a state of fatigue or distraction. At the same time, the vehicle speed sensor is usually installed on the drive wheel or drive shaft, and calculates the vehicle's speed by detecting the rotation speed of the tire or drive shaft, and sends this information to the vehicle's dashboard to display the current speed. In addition, the vehicle is equipped with various types of sensors for monitoring vehicle dynamics, such as the accelerator pedal position sensor used to record the number and depth of accelerator pedaling, and the brake pedal pressure sensor used to measure the number and depth of brake pedaling. The data collected by these sensors is crucial for building a comprehensive driving behavior portrait. Next, in order to ensure the quality of the data and make it suitable for subsequent analysis, the raw data is preprocessed. This step includes operations such as removing noise, filling missing values, and standardization to ensure the consistency and accuracy of the data. The preprocessed data can be used to train machine learning models, especially deep neural networks, such as convolutional neural networks (CNN) for image feature extraction and recurrent neural networks (RNN) for time series data analysis. In this way, valuable patterns can be learned from large amounts of historical data and used to predict future driving behavior.

[0053] Step S20, obtaining the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth within a preset time according to the driver behavior data.

[0054] Step S30, matching the vehicle speed and the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth within a preset time with the evaluation function to obtain the driving condition. The above evaluation function sets corresponding thresholds for the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth and then performs evaluation.

[0055] It should be understood that the evaluation function performs a comprehensive evaluation by setting corresponding thresholds for the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times, and brake pedaling depth. The selection and setting of these parameters are based on a large amount of experimental data and statistical analysis to ensure that they can reflect the real driving behavior characteristics.

[0056] Furthermore, the number and depth of accelerator pedaling reflect the intensity of the driver's demand for acceleration. Frequent and deep accelerator pedaling usually means that the driver wants to increase the speed quickly, which may be for overtaking or responding to changes in traffic flow. When a high accelerator pedaling frequency and a large pedaling depth are detected in a short period of time, the evaluation function will determine that the vehicle is accelerating or driving at high speed. On the contrary, if the accelerator operation is relatively gentle, it may mean that the vehicle is driving steadily or at a low speed. Secondly, the number and depth of brake pedaling are equally important, and they are directly related to the process of decelerating or stopping the vehicle. Frequent and intense use of brakes indicates that there is an emergency ahead that requires emergency avoidance, or that the driver habitually adopts an aggressive driving style. By setting reasonable brake pedaling number and depth thresholds, the evaluation function can distinguish the difference between normal deceleration and emergency braking, and adjust the vehicle's safety and comfort settings accordingly. Combined with vehicle speed information, the above four key indicators constitute a complete driving behavior portrait. For example, in congested urban roads, due to frequent starts and stops, the accelerator and brake operations will be more frequent; while when cruising on the highway, the throttle operation is relatively stable and the brakes are used less. Therefore, the evaluation function will adjust its internal logic according to different types of driving environments to adapt to diverse driving needs. In addition, considering that different models and user preferences may differ, the evaluation function also supports personalized configuration, allowing users to adjust the specific thresholds of each parameter according to their own driving habits.

[0057] Furthermore, in order to improve the accuracy of the evaluation result, in step S30, in addition to relying on static thresholds, the evaluation function also introduces a dynamic adjustment mechanism. Specifically, historical driver behavior data is obtained, and according to the historical driver behavior data, the thresholds of the number of accelerator pedal strokes, accelerator pedal depth, brake pedal strokes and brake pedal depth in the evaluation function are adjusted. Specifically, the target set and the corresponding time set and location set related to the driving process can be obtained from the driving history data, and these data contain rich driving behavior information. By deeply mining these data, driving habits under specific conditions can be found. For example, in congested sections of the city, the operation frequency of the accelerator and brake is high; while when cruising on the highway, it is manifested as less but deeper accelerator operation. Based on such insights, the evaluation function can set more reasonable thresholds for different driving environments to adapt to diverse driving needs. For example, when it is detected that the driver usually maintains a stable speed on the highway and rarely uses the brakes, the threshold of the number of brake pedal strokes will be appropriately increased to avoid misjudgment as abnormal driving behavior. Similarly, if the driver is accustomed to frequently tapping the accelerator to fine-tune acceleration, reducing the sensitivity of the accelerator pedal depth can help reduce unnecessary intervention.

[0058] Step S40: switching the vehicle driving mode according to the driving conditions.

[0059] It should be noted that driving conditions cover the vehicle's speed, acceleration, load, road conditions (such as urban roads, highways, mountain roads, etc.) and climate conditions (such as temperature, humidity, etc.). Different driving conditions require different driving modes to match to ensure optimal performance and fuel economy. For example, in congested driving conditions, frequent starts and stops, and low-speed driving, selecting the economy mode can effectively reduce unnecessary fuel consumption and make the vehicle speed more stable, which is suitable for daily commuting and other scenarios; in smooth driving conditions, the sports mode can be enabled. At this time, the electronic control unit will increase the engine speed, allowing the vehicle to maintain sufficient torque and provide better acceleration performance, which is suitable for fast overtaking or enjoying driving pleasure.

[0060] Further, step S40 also includes: obtaining the acceleration and steering state of the vehicle; judging whether the vehicle is in a turning state according to the acceleration and steering state; when the vehicle is in a turning state, switching the vehicle driving mode to the economic mode. Specifically, the linear and angular acceleration data of the vehicle can be provided by the vehicle inertial measurement unit (IMU), and the steering angle sensor can capture the position change of the steering wheel. Combining these two key parameters, an algorithm is used to analyze whether the current vehicle is performing a turning action. When it is detected that the vehicle is in a turning state, that is, there is a significant lateral acceleration or a large front wheel turning angle, if the preset conditions are met, such as a lower speed range or a specific road type (city streets rather than highways), the vehicle driving mode is switched to the economic mode. Because during the turning process, the vehicle usually does not need a lot of power output, especially in the slow turning scenario common in urban environments. Therefore, switching to the economic mode can help reduce unnecessary fuel consumption while maintaining sufficient traction to ensure safety.

[0061] Furthermore, step S40 also includes: learning based on the driver's behavior data to obtain the driver's driving habits, setting the switching logic and parameters of the driving mode according to the driver's driving habits, and then executing the switching of the vehicle driving mode according to the switching logic and parameters. Specifically, by collecting and analyzing the driver's operating habits under different driving conditions, such as the frequency and depth of accelerator pedaling, brake usage, steering angle, etc., a driving behavior model is constructed. This model not only reflects the driver's daily driving style, but also can identify the emergency response mode under specific situations. In addition, considering the balance between safety and comfort, personalized comfort settings are customized according to different types of drivers. For example, for drivers who prefer soft control, the hardness of the suspension system and the feedback strength of the steering wheel are further adjusted; for drivers who pursue the ultimate control feeling, various parameters are allowed to be adjusted in the personalized mode, including but not limited to the power output curve, steering assist level, etc., and finally the vehicle mode is switched based on the parameters of the final driving behavior model. Furthermore, with the advancement of machine learning algorithms, especially the application of deep learning, its ability to understand driver behavior is improved. This is not limited to simple pattern matching, but also includes predicting future driving intentions and preparing the most appropriate driving mode in advance, thereby providing a more seamless and natural driving assistance experience. For example, before approaching an intersection known to slow down frequently, the vehicle can switch to energy-saving mode in advance, or judge based on historical data that the upcoming highway section is suitable for turning on cruise control.

[0062] This embodiment provides a driving mode switching method based on driver behavior, by acquiring driver behavior data and vehicle speed, obtaining the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth within a preset time according to the driver behavior data, matching the vehicle speed and the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth within a preset time with an evaluation function, obtaining driving conditions, and switching the vehicle driving mode according to the driving conditions. By collecting driver behavior data and vehicle speed, analyzing the accelerator and brake operation frequency and depth within a preset time, and combining the evaluation function to determine the driving conditions, the driving mode is switched accordingly, and the driving mode is adaptively switched by adjusting the driver behavior in real time, thereby improving driving safety and fuel economy and driving experience.

[0063] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can refer to the above introduction, and will not be repeated later. Figure 2 The driving mode switching method based on driver behavior step S30 also includes steps S301 to S303:

[0064] Step S301, when the vehicle speed is less than a first speed threshold, the number of accelerator pedaling times within a preset time is greater than a first preset number of pedaling times, the accelerator pedaling depth within the preset time exceeds a first preset depth, and the accelerator pedaling depth within the preset time does not exceed a second preset depth, the driving condition is obtained as a congested driving condition.

[0065] It should be noted that in this embodiment, the first speed threshold is 40 km / h, which means that when the speed of the vehicle is lower than 40 km / h, and the number of accelerator pedaling times exceeds 15 times (i.e., the first preset number of pedaling times) within a preset time (e.g., 60 seconds) and the accelerator pedaling depth exceeds 30% (i.e., the first preset depth), but does not exceed 60% (i.e., the second preset depth), the vehicle will be considered to be in a congested driving environment. Because if it is within these 60 seconds, it indicates that the driver is frequently adjusting the accelerator to respond to the actions of the vehicle ahead or the changes in traffic signals. Such frequent operations usually occur in urban roads with large traffic flow and dense vehicles or in areas with many traffic lights. For example, if a car is waiting for the green light to be released at a busy intersection, as the signal light changes color, the driver needs to react quickly, tap the accelerator to make the vehicle move slowly, and then stop again to wait for the next signal cycle. In this process, the driver may repeat such operations many times, resulting in the accelerator being frequently slightly stepped on and released. At this time, if the vehicle speed remains below 40 km / h for a long time and the accelerator pedaling behavior meets the above description, it can be determined that the vehicle is experiencing congested driving conditions.

[0066] Step S302, when the vehicle speed is greater than the second speed threshold, the number of accelerator pedaling times within the preset time is less than the second preset number of pedaling times, and the accelerator pedaling depth within the preset time exceeds the second preset depth, the driving condition is obtained as a smooth driving condition.

[0067] It should be noted that, in this embodiment, the second speed threshold is 70 km / h, which means that when the speed of the vehicle exceeds 70 km / h, and the number of accelerator pedaling times within a preset time (e.g., 60 seconds) is less than 10 times (i.e., the second preset number of pedaling times) and the accelerator pedaling depth exceeds 60% (i.e., the second preset depth), it is further confirmed that the vehicle is driving steadily at a higher speed. Here, the accelerator depth of more than 60% is suitable for situations where a higher speed needs to be maintained, such as maintaining a cruising speed or overtaking acceleration on a highway. This depth of throttle input can ensure that the engine provides sufficient power output so that the vehicle can smoothly reach and maintain a higher speed level. When the above conditions are met, it indicates that the driver's operation is relatively small and the vehicle is in a relatively stable driving state. Usually, on a highway or a city expressway, when the traffic is smooth, the driver does not need to frequently adjust the throttle to respond to the actions of the vehicle ahead or changes in traffic signals. For example, a car is driving on a highway, and the speed of the vehicle is maintained at more than 70 km / h. The driver only needs to occasionally lightly step on the accelerator to make slight speed adjustments to adapt to changes in road slope or to overtake. Since the traffic conditions are good and there is no frequent start-stop demand, the number of times the accelerator is pressed during this period is very limited, and each time the accelerator is pressed is to maintain or increase a certain speed, rather than for frequent acceleration and deceleration operations. It can be determined that the vehicle is experiencing smooth driving conditions.

[0068] Step S303: when the driving condition is neither a congested condition nor a smooth condition, the driving condition is determined to be a normal driving condition.

[0069] It should be noted that when the driving condition does not meet the characteristics of congested driving nor the standards of smooth driving, it is usually defined as a normal driving condition. In this state, the vehicle's speed, accelerator pedaling frequency and depth are all in a relatively intermediate state, neither extremely low nor extremely high, reflecting the common traffic conditions on urban roads. For example, the vehicle travels in the speed range of 40 to 70 km / h. This speed range will not cause frequent starts and stops due to being too slow, nor will it reduce the number of accelerator operations due to being too fast. Under normal driving conditions, the driver's operation is relatively balanced, and the number of accelerator pedaling times is between congestion and smooth, such as 10-15 times per minute, which indicates that the vehicle is responding to general traffic flow changes, such as passing intersections, following the vehicle in front, or driving on urban roads during non-peak hours. At the same time, the accelerator pedaling depth will also be adjusted according to actual needs, fluctuating between 30% and 60%, ensuring that the vehicle has sufficient power response but does not cause unnecessary acceleration. Under this condition, the various systems of the vehicle still play an important role. For example, the smart cruise control system can automatically adjust the vehicle speed according to the set speed to help the driver maintain a safe distance, while the lane departure warning system can sound an alarm when the vehicle accidentally deviates from the lane to remind the driver to pay attention. For electric vehicles, the energy recovery system will continue to work under such conditions. Although it is not as frequent as in congestion conditions, it can still effectively recover some kinetic energy every time it slows down.

[0070] In addition, normal driving conditions also mean that the vehicle will encounter more dynamic changes, such as pedestrians crossing the road, bicycle lanes intersecting or temporary parking, so the driver is required to maintain higher attention and responsiveness. Nevertheless, due to the relatively stable traffic conditions, the risk of accidents is relatively low. With the continuous development of intelligent transportation systems, vehicles can better adapt to such regular driving scenarios and provide a more comfortable, safe and efficient travel experience.

[0071] This embodiment obtains that the driving condition is a congested driving condition when the vehicle speed is less than a first speed threshold, the number of accelerator pedaling times within a preset time is greater than a first preset pedaling time, the accelerator pedaling depth within a preset time exceeds a first preset depth, and the accelerator pedaling depth within a preset time does not exceed a second preset depth, and the driving condition is a smooth driving condition when the vehicle speed is greater than a second speed threshold, the number of accelerator pedaling times within a preset time is less than a first preset pedaling time, the number of accelerator pedaling times within a preset time is less than a second preset pedaling time, and the accelerator pedaling depth within a preset time exceeds a second preset depth, and the driving condition is a normal driving condition when the driving condition is neither a congested condition nor a smooth condition. Congested, smooth, and normal driving conditions are distinguished based on vehicle speed, accelerator pedaling frequency, and depth, and accurate judgment is achieved by setting specific thresholds, thereby enhancing the driving experience.

[0072] Based on the first embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the first embodiment can be referred to the above description, and will not be described in detail later. Figure 3 The driving mode switching method based on driver behavior step S40 also includes steps S401 to S403:

[0073] Step S401, when the driving condition is a congested driving condition, switch the vehicle driving mode to an economic mode.

[0074] It should be noted that the economy mode optimizes fuel efficiency by adjusting the parameters of the engine, transmission and other systems. For example, in economy mode, the throttle response will become slower, which means that even if the driver presses the same accelerator pedal depth, the actual command transmitted to the engine will be gentler, thereby avoiding unnecessary acceleration and deceleration. In addition, the gearbox shifting logic will also change accordingly, tending to shift up earlier to maintain a lower engine speed and reduce unnecessary fuel injection. For vehicles equipped with automatic start-stop function, the economy mode will usually strengthen this feature, automatically shutting down the engine while waiting for a red light or traffic stagnation, and quickly restarting it when needed, further saving fuel. At the same time, the power of the air conditioning system will also be reduced to ensure that more energy is used to drive the vehicle rather than auxiliary equipment.

[0075] Step S402, when the driving condition is a smooth driving condition, switch the vehicle driving mode to a sports mode.

[0076] It should be noted that when the driving condition is a smooth driving condition, switching the vehicle driving mode to the sports mode can significantly improve the driving experience. Under such road conditions, there is less traffic flow and good road conditions, allowing the vehicle to drive smoothly at a higher speed. At this time, enabling the sports mode can make the vehicle's power response faster and more direct, providing a more aggressive driving experience. In the sports mode, the working logic of the engine and the gearbox will undergo a series of changes. First, the throttle response becomes more sensitive, and even a slight step can get a stronger sense of acceleration. Secondly, the gearbox will delay the shift timing to keep the engine in a higher speed range, thereby instantly outputting greater torque and enhancing the vehicle's power performance. This setting not only makes overtaking easy, but also brings a more fun driving experience, especially in scenes such as winding mountain roads or highways. In addition, many vehicles will also adjust the hardness of the suspension system in the sports mode to provide better body support, reduce roll, and ensure higher handling stability. At the same time, the steering system will become heavier, giving the driver clearer road feedback, making each turn more precise.

[0077] Step S403: when the driving condition is a normal driving state, maintain the current vehicle driving mode.

[0078] It should be noted that when the driving condition is normal, maintaining the current vehicle driving mode is a wise choice to ensure driving efficiency and comfort. Normal driving conditions usually refer to road conditions that are neither extremely congested nor completely unobstructed. In this case, the road conditions are relatively stable and the traffic flow is moderate. In this state, maintaining the existing driving mode can avoid the discomfort caused by frequent switching, while keeping the various performance parameters of the vehicle in a relatively balanced state to meet most daily driving needs. Under normal driving conditions, the vehicle's economic mode or sports mode can be set according to the driver's habits and preferences. If a mode suitable for the current road conditions and personal preferences has been selected, there is no need to change it. For example, in economic mode, the vehicle improves fuel efficiency by optimizing the amount of fuel injection and reducing the power output reaction rate; the sports mode emphasizes strong power response and higher engine speed, which is suitable for the pursuit of driving pleasure; the comfort mode is a compromise between the two, providing a smooth and comfortable driving experience. For modern cars equipped with intelligent driving assistance systems, maintaining the current driving mode can also make these systems work better. For example, the Adaptive Cruise Control (ACC) system can help maintain a stable speed while keeping a safe distance, reducing the extra fuel consumption caused by improper human operation. The Lane Keeping Assist (LKA) system can also effectively help the driver stay in the center of the lane in such situations, improving safety.

[0079] This embodiment optimizes the driving experience by intelligently switching driving modes according to different driving conditions.

[0080] This application also provides a driving mode switching device based on driver behavior, please refer to Figure 4 , the device comprises:

[0081] The acquisition module 10 is used to acquire driver behavior data and vehicle speed.

[0082] The analysis module 20 is used to obtain the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth within a preset time according to the driver's behavior data.

[0083] The judgment module 30 is used to match the vehicle speed and the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth within a preset time with the evaluation function to obtain the driving condition. The above evaluation function sets corresponding thresholds for the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth and then performs evaluation.

[0084] The execution module 40 is used to switch the vehicle driving mode according to the driving conditions.

[0085] The driving mode switching device based on driver behavior provided by the present application adopts the driving mode switching method based on driver behavior in the above-mentioned embodiment, and can solve the technical problem of how to switch the vehicle driving mode in real time according to the driver's driving behavior. Compared with the prior art, the beneficial effects of the driving mode switching device based on driver behavior provided by the present application are the same as the beneficial effects of the driving mode switching method based on driver behavior provided by the above-mentioned embodiment, and the other technical features of the driving mode switching device based on driver behavior are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0086] In one embodiment, the judgment module 30 is also used to obtain a congested driving condition when the vehicle speed is less than a first speed threshold, the number of accelerator pedaling times within a preset time is greater than a first preset number of pedaling times, the accelerator pedaling depth within a preset time exceeds a first preset depth, and the accelerator pedaling depth within a preset time does not exceed a second preset depth; and obtain a unimpeded driving condition when the vehicle speed is greater than a second speed threshold, the number of accelerator pedaling times within a preset time is less than a second preset number of pedaling times, and the accelerator pedaling depth within a preset time exceeds a second preset depth, wherein the first speed threshold is less than the second speed threshold, the first preset number of pedaling times is greater than the second preset number of pedaling times, and the first preset depth is less than the second preset depth.

[0087] In one embodiment, the judgment module 30 is further configured to determine that the driving condition is a normal driving condition when the driving condition is neither a congested condition nor a smooth condition.

[0088] In one embodiment, the judgment module 30 is also used to obtain historical driver behavior data; based on the historical driver behavior data, the thresholds of the accelerator pedal pressing times, accelerator pedal depth, brake pedal pressing times and brake pedal depth in the evaluation function are adjusted.

[0089] In one embodiment, the execution module 40 is also used to switch the vehicle driving mode to the economy mode when the driving condition is a congested driving condition; switch the vehicle driving mode to the sports mode when the driving condition is a smooth driving condition; and maintain the current vehicle driving mode when the driving condition is a normal driving condition.

[0090] In one embodiment, the execution module 40 is also used to learn based on the driver's behavior data to obtain the driver's driving habits; set the switching logic and parameters of the driving mode according to the driver's driving habits; and execute the switching of the vehicle driving mode according to the switching logic and parameters.

[0091] In one embodiment, the execution module 40 is also used to obtain the acceleration and steering state of the vehicle; determine whether the vehicle is in a turning state based on the acceleration and steering state; when the vehicle is in a turning state, switch the vehicle driving mode to an economic mode.

[0092] The present application provides a driving mode switching device based on driver behavior, and the driving mode switching device based on driver behavior includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the driving mode switching method based on driver behavior in the above-mentioned embodiment one.

[0093] Reference below Figure 5 , which shows a schematic diagram of the structure of a driving mode switching device based on driver behavior suitable for implementing the embodiment of the present application. The driving mode switching device based on driver behavior in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The driver behavior-based driving mode switching device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0094] like Figure 5As shown, the driving mode switching device based on driver behavior may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the driving mode switching device based on driver behavior are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the driver behavior-based driving mode switching device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a driver behavior-based driving mode switching device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0095] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0096] The driving mode switching device based on driver behavior provided by the present application adopts the driving mode switching method based on driver behavior in the above embodiment, which can solve the technical problem of how to switch the vehicle driving mode in real time according to the driver's driving behavior. Compared with the prior art, the beneficial effects of the driving mode switching device based on driver behavior provided by the present application are the same as the beneficial effects of the driving mode switching method based on driver behavior provided by the above embodiment, and the other technical features of the driving mode switching device based on driver behavior are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0097] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0098] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0099] The present application provides a computer-readable medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the driving mode switching method based on driver behavior in the above-mentioned embodiment.

[0100] The computer-readable medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0101] The computer-readable medium may be included in the driving mode switching device based on driver behavior; or may exist independently without being assembled into the driving mode switching device based on driver behavior.

[0102] The computer-readable medium carries one or more programs. When the one or more programs are executed by the driving mode switching device based on driver behavior, the driving mode switching device based on driver behavior can be written in one or more programming languages ​​or a combination thereof to perform computer program codes for the operation of the present application. The programming languages ​​include object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0103] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0104] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0105] The readable medium provided by the present application is a computer-readable medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned driving mode switching method based on driver behavior, and can solve the technical problem of how to switch the vehicle driving mode in real time according to the driver's driving behavior. Compared with the prior art, the beneficial effects of the computer-readable medium provided by the present application are the same as the beneficial effects of the driving mode switching method based on driver behavior provided by the above-mentioned embodiment, and will not be repeated here.

[0106] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned driving mode switching method based on driver behavior when executed by a processor.

[0107] The computer program product provided by the present application can solve the technical problem of how to switch the vehicle driving mode in real time according to the driver's driving behavior. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as the beneficial effects of the driving mode switching method based on driver behavior provided by the above embodiment, which will not be repeated here.

[0108] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A driving mode switching method based on driver behavior, characterized in that: The method comprises: Obtain driver behavior data and vehicle speed; According to the driver behavior data, the number of accelerator pedaling times, the accelerator pedaling depth, the number of brake pedaling times and the brake pedaling depth within a preset time are obtained; According to the vehicle speed and the number of accelerator pedaling times, the accelerator pedaling depth, the brake pedaling times and the brake pedaling depth within the preset time, the driving condition is obtained by matching the evaluation function, wherein the evaluation function sets corresponding thresholds for the number of accelerator pedaling times, the accelerator pedaling depth, the brake pedaling times and the brake pedaling depth and then performs evaluation; The vehicle driving mode is switched according to the driving condition.

2. The method according to claim 1, characterized in that The step of matching the vehicle speed and the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth within the preset time with the evaluation function to obtain the driving condition comprises: When the vehicle speed is less than the first speed threshold, the number of accelerator pedaling times within the preset time is greater than the first preset number of pedaling times, the accelerator pedaling depth within the preset time exceeds the first preset depth, and the accelerator pedaling depth within the preset time does not exceed the second preset depth, the driving condition is obtained as a congested driving condition; When the vehicle speed is greater than the second speed threshold, the number of accelerator pedaling times within the preset time is less than the second preset pedaling times, and the accelerator pedaling depth within the preset time exceeds the second preset depth, the driving condition is obtained as a smooth driving condition, wherein the first speed threshold is less than the second speed threshold, the first preset pedaling times is greater than the second preset pedaling times, and the first preset depth is less than the second preset depth.

3. The method according to claim 2, characterized in that After the step of obtaining that the driving condition is a smooth driving condition when the vehicle speed is greater than a second speed threshold, the number of accelerator pedaling times within the preset time is less than a second preset number of pedaling times, and the accelerator pedaling depth within the preset time exceeds a second preset depth, the step further includes: When the driving condition is neither a congested condition nor a smooth condition, the driving condition is obtained to be a normal driving condition.

4. The method according to claim 1, characterized in that The evaluation function sets corresponding thresholds for the accelerator pedaling times, the accelerator pedaling depth, the brake pedaling times and the brake pedaling depth, and then performs evaluation, and further includes: Obtain historical driver behavior data; According to the historical driver behavior data, the thresholds of the number of accelerator pedal depressions, the accelerator pedal depth, the number of brake pedal depressions and the brake pedal depth in the evaluation function are adjusted.

5. The method according to claim 1, characterized in that The step of switching the vehicle driving mode according to the driving condition comprises: When the driving condition is a congested driving condition, switching the vehicle driving mode to an economic mode; When the driving condition is a smooth driving condition, switching the vehicle driving mode to a sports mode; When the driving condition is a normal driving state, the current vehicle driving mode is maintained.

6. The method according to claim 1, characterized in that The step of switching the vehicle driving mode according to the driving condition further includes: Learning based on the driver behavior data to obtain the driver's driving habits; According to the driving habits of the driver, setting the switching logic and parameters of the driving mode; According to the switching logic and the parameters, the vehicle driving mode is switched.

7. The method according to claim 1, characterized in that The step of switching the vehicle driving mode according to the driving condition further includes: Get the vehicle's acceleration and steering status; determining whether the vehicle is in a turning state according to the acceleration and the steering state; When the vehicle is turning, switch the vehicle driving mode to economic mode.

8. A driving mode switching device based on driver behavior, characterized in that: The device comprises: An acquisition module, used to acquire driver behavior data and vehicle speed; An analysis module is used to obtain the number of accelerator pedaling times, accelerator pedaling depth, brake pedaling times and brake pedaling depth within a preset time according to the driver behavior data; A judgment module, used for matching the vehicle speed and the number of accelerator pedaling times, the accelerator pedaling depth, the brake pedaling times and the brake pedaling depth within the preset time with an evaluation function to obtain a driving condition, wherein the evaluation function sets corresponding thresholds for the number of accelerator pedaling times, the accelerator pedaling depth, the brake pedaling times and the brake pedaling depth and then performs evaluation; The execution module is used to switch the vehicle driving mode according to the driving condition.

9. A driving mode switching device based on driver behavior, characterized in that: The device includes: a memory, a processor, and a driver behavior-based driving mode switching program stored in the memory and running on the processor, wherein the driver behavior-based driving mode switching program is configured to implement the steps of the driver behavior-based driving mode switching method as described in any one of claims 1-7.

10. A storage medium, characterized in that: The storage medium stores a driving mode switching program based on driver behavior, and when the driving mode switching program based on driver behavior is executed by the processor, the steps of the driving mode switching method based on driver behavior as described in any one of claims 1-7 are implemented.

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