Vehicle and its driving mode switching method and switching device

By acquiring weather and road information during vehicle operation, the system automatically switches driving modes, solving the problem that vehicle driving modes cannot adapt to changes in road conditions, thus improving the driving experience and safety, and making it suitable for various complex road conditions.

CN119911276BActive Publication Date: 2025-10-31CHERY AUTOMOBILE CO LTD
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Patent Information

Application Number
CN202510151052.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-02-11
Publication Date
2025-10-31
Estimated Expiration
2045-02-11

AI Technical Summary

Technical Problem

In existing technologies, vehicle driving modes cannot adapt to real-time changes in road conditions, requiring users to manually switch modes while driving, which affects the practicality of intelligent driving.

Method used

By acquiring weather and road information during vehicle operation, the system determines the target driving mode based on this information and automatically switches between driving modes within a preset time period, including rain mode, snow mode, and energy-saving mode, using sensors and image recognition technology to monitor road condition changes in real time.

Benefits of technology

It achieves automated driving mode switching, enhances the driver's driving experience and cockpit intelligence, adapts to various complex road conditions, and improves driving safety and comfort.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

This application discloses a method and device for switching a vehicle and its driving modes. The method includes: acquiring weather information and / or road information during the current vehicle's driving process; determining a target driving mode for the vehicle based on the weather information and / or road information; and switching the current vehicle's driving mode to the target driving mode if the weather information and / or road information does not change within a preset time period. This method frees the driver's hands and automatically switches the vehicle's driving mode, effectively improving the driver's driving experience and cockpit intelligence, and is compatible with most intelligent vehicles on the market.
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Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method for switching vehicle driving modes, a vehicle, and a device for switching vehicle driving modes. Background Technology

[0002] With the iteration and development of intelligent driving functions, the driving capabilities of intelligent vehicles are gradually improving and becoming more sophisticated. The development of vehicle driving modes has been largely completed. These include an economy mode suitable for daily commutes in the city, a default normal mode suitable for most everyday scenarios, a sport mode for highway overtaking and steep mountain slopes, and a snow mode for traction control in winter. These various modes allow the vehicle to drive in the most appropriate way. However, currently, there is no system solution that can achieve adaptive road switching. Many users do not have the habit of switching modes according to real-time road conditions, resulting in limited practicality of intelligent driving modes for some users. Summary of the Invention

[0003] This application aims to at least partially address one of the technical problems in related technologies. Therefore, the first objective of this application is to propose a method for switching vehicle driving modes. This method involves acquiring weather and / or road information during the current vehicle's operation, determining the target driving mode based on the weather and / or road information, and switching the current vehicle's driving mode to the target driving mode if the weather and / or road information remains unchanged within a preset time period. This allows the driver to free their hands and automatically switch vehicle driving modes, effectively improving the driver's driving experience and cockpit intelligence, and is compatible with most intelligent vehicles on the market.

[0004] The second objective of this application is to propose a vehicle.

[0005] The third objective of this application is to propose a vehicle driving mode switching device.

[0006] To achieve the above objectives, a first aspect of this application proposes a method for switching vehicle driving modes. The method includes: acquiring weather information and / or road information during the current driving process of the vehicle; determining a target driving mode of the vehicle based on the weather information and / or the road information; and switching the current driving mode of the vehicle to the target driving mode if the weather information and / or the road information does not change within a preset time period.

[0007] The vehicle driving mode switching method according to embodiments of this application acquires weather and / or road information during the current vehicle driving process, determines the target driving mode of the vehicle based on the weather and / or road information, and switches the current vehicle driving mode to the target driving mode if the weather and / or road information does not change within a preset time period. Therefore, this method can free the driver's hands, automatically switch the vehicle's driving mode, effectively improve the driver's driving experience and cockpit intelligence, and is compatible with most intelligent vehicles on the market.

[0008] In addition, the vehicle driving mode switching method according to the above embodiments of this application may also have the following additional technical features:

[0009] According to one embodiment of this application, the weather information includes rainfall, and determining the target driving mode of the vehicle based on the weather information includes: determining the target driving mode as a rain mode when the rainfall is greater than or equal to a preset rainfall threshold, wherein the rain mode includes turning on fog lights, turning on rearview mirror heating, and turning on the vehicle stability system.

[0010] According to one embodiment of this application, the road information includes the degree of road congestion, and determining the target driving mode of the vehicle based on the road information includes: determining the target driving mode as an energy-saving mode when the degree of congestion meets a preset degree of congestion.

[0011] According to one embodiment of this application, the road information includes the road bumpiness level, which includes a first bumpiness level, a second bumpiness level, and a third bumpiness level. Determining the target driving mode of the vehicle based on the road information includes: if the bumpiness level is the second bumpiness level or the third bumpiness level, determining the target driving mode as a sport mode, wherein the vibration acceleration corresponding to the first bumpiness level is greater than a first preset acceleration threshold and less than a second preset acceleration threshold; the vibration frequency corresponding to the first bumpiness level is greater than a first preset frequency threshold and less than a second preset frequency threshold; the vibration amplitude corresponding to the first bumpiness level is greater than a first preset amplitude threshold and less than a second preset amplitude threshold; and the second bumpiness level... The vibration acceleration corresponding to the second degree of bumpiness is greater than or equal to the second preset acceleration threshold and less than the third preset acceleration threshold; the vibration frequency corresponding to the second degree of bumpiness is greater than or equal to the second preset frequency threshold and less than the third preset frequency threshold; the vibration amplitude corresponding to the second degree of bumpiness is greater than or equal to the second preset amplitude threshold and less than the third preset amplitude threshold; the vibration acceleration corresponding to the third degree of bumpiness is greater than or equal to the third preset acceleration threshold; the vibration frequency corresponding to the third degree of bumpiness is greater than or equal to the third preset frequency threshold; and the vibration amplitude corresponding to the third degree of bumpiness is greater than or equal to the third preset amplitude threshold. The motion mode includes adjusting at least one of the vehicle's suspension system, power system, and steering system.

[0012] According to one embodiment of this application, the road information includes the spectral information of the road, and the step of determining the target driving mode of the vehicle based on the road information includes: determining whether the current road segment is a snow-covered road segment or an icy road segment based on the spectral information; and if the current road segment is the snow-covered road segment or the icy road segment, determining the target driving mode as a snow mode.

[0013] According to one embodiment of this application, the road information includes the contact pressure between the vehicle's tires and the ground, and the step of determining the target driving mode of the vehicle based on the road information includes: determining whether the current road segment is a sandy road segment or a muddy road segment based on the contact pressure; and determining the target driving mode as a sandy mode if the current road segment is the sandy road segment or the muddy road segment.

[0014] According to one embodiment of this application, the road information includes a road tilt angle, and determining the target driving mode of the vehicle based on the road information includes: when the tilt angle is greater than a preset angle threshold, determining the target driving mode as a sport mode.

[0015] According to one embodiment of this application, the method further includes: when the current road segment is a multi-scenario fusion road segment, determining the priority of the driving mode, wherein the priority order includes snow mode having a higher priority than rain mode, rain mode having a higher priority than desert mode and sport mode, and desert mode and sport mode having a higher priority than energy-saving mode.

[0016] To achieve the above objectives, a vehicle is provided in the second aspect of this application, including a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements the above-described method for switching vehicle driving modes.

[0017] According to the embodiments of this application, by executing the above-described vehicle driving mode switching method, the driver's hands can be freed and the vehicle's driving mode can be automatically switched, thereby effectively improving the driver's driving experience and the intelligence of the cockpit driving, and it can be adapted to most intelligent vehicles on the market.

[0018] To achieve the above objectives, a third aspect of this application provides a vehicle driving mode switching device, the device comprising: an acquisition module for acquiring weather information and / or road information during the current driving process of the vehicle; a determination module for determining a target driving mode of the vehicle based on the weather information and / or the road information; and a switching module for switching the current driving mode of the vehicle to the target driving mode if the weather information and / or the road information does not change within a preset time period.

[0019] According to the vehicle driving mode switching device of this application embodiment, the acquisition module is used to acquire weather information and / or road information during the current vehicle driving process, the determination module is used to determine the target driving mode of the vehicle based on the weather information and / or road information, and the switching module is used to switch the current vehicle driving mode to the target driving mode if the weather information and / or road information does not change within a preset time period. Therefore, this device can free the driver's hands and automatically switch the vehicle's driving mode, thereby effectively improving the driver's driving experience and the intelligence of the cockpit, and can be adapted to most intelligent vehicles on the market.

[0020] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0021] Figure 1 This is a flowchart of a vehicle driving mode switching method according to an embodiment of this application;

[0022] Figure 2 This is a block diagram of a vehicle according to an embodiment of this application;

[0023] Figure 3 This is a block diagram of a vehicle driving mode switching device according to an embodiment of this application. Detailed Implementation

[0024] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0025] The following description, with reference to the accompanying drawings, describes a method for switching vehicle driving modes, a vehicle, and a device for switching vehicle driving modes according to embodiments of this application.

[0026] Figure 1 This is a flowchart of a vehicle driving mode switching method according to an embodiment of this application.

[0027] like Figure 1 As shown, the vehicle driving mode switching method in this application embodiment may include the following steps:

[0028] S1, obtain weather and / or road information during the current vehicle's driving process.

[0029] S2 determines the vehicle's target driving mode based on weather and / or road information.

[0030] S3: If the weather and / or road information remains unchanged within a preset time period, the current vehicle's driving mode will be switched to the target driving mode. The preset time period can be determined based on actual conditions.

[0031] Specifically, during vehicle operation, the system first acquires weather or road information, or both simultaneously. For example, a rain sensor can measure rainfall to determine the current weather, or the vehicle-to-everything (V2X) system can access weather forecasts to determine whether it is raining or snowing. Road information can be obtained through online map systems; for instance, V2X technology can provide real-time road information, including congestion levels, road conditions, and speed limits. Alternatively, it can combine camera and image recognition technologies, such as using an onboard camera to capture road images and then analyzing road conditions (e.g., snow, ice, sand) using image recognition algorithms. Another approach is to use a gyroscope to measure the vehicle's tilt angle to determine if the road is steep.

[0032] After acquiring weather and road information, the target driving mode for the vehicle can be determined based on either weather or road information, or both simultaneously. For example, analyzing the acquired weather information, if the rain sensor detects rainfall greater than or equal to a preset threshold (e.g., moderate rain or above), the target driving mode can be determined as rain mode. If, combined with camera footage, it is determined that there is snow or ice on the road surface, the target driving mode can be determined as snow mode, and so on. The acquired road information can also be analyzed. For example, if the current online map system shows that road congestion has reached a preset threshold (e.g., average vehicle speed below 20 km / h), the target driving mode can be determined as energy-saving mode. If the vehicle's tilt angle is measured by a gyroscope and the current road is determined to be a steep slope (e.g., the gyroscope detects a tilt angle greater than 15 degrees), the target driving mode can be determined as sport mode. When determining the target driving mode based on both weather and road information, the final target driving mode can be determined according to preset priority rules. For example, if the current rainfall is heavy and the driving mode is pre-determined to be rainy, and the road is still congested, then according to the pre-determined priority, the rainy mode has a higher priority than the energy-saving mode, so the current target driving mode can be determined to be rainy mode.

[0033] In addition, to avoid frequent and unnecessary driving mode switching due to brief changes in road conditions, a preset time period (e.g., 30 seconds to 1 minute) is set. During this preset time period, the system continuously monitors weather and road information to determine if this information remains consistent. If the weather and road information remain unchanged within the preset time period, and the target driving mode has been determined, the current vehicle's driving mode is switched to the target driving mode. After switching to the target driving mode, functions related to that mode are automatically activated, such as fog lights in rain mode and vehicle stability control in snow mode. Furthermore, while in the target driving mode, weather and road information can continue to be monitored in real time. If road conditions change (e.g., reduced rainfall, less congested roads), the system will reassess and switch to a more suitable driving mode.

[0034] This not only improves vehicle safety in complex road conditions but also enhances the driving experience, demonstrating the intelligence and human-centered design of intelligent driving technology.

[0035] According to one embodiment of this application, the weather information includes rainfall. Determining the target driving mode of the vehicle based on the weather information includes: if the rainfall is greater than or equal to a preset rainfall threshold, determining the target driving mode as a rain mode, wherein the rain mode includes turning on fog lights, turning on rearview mirror heating, and turning on the vehicle stability system. The preset rainfall threshold can be determined according to actual conditions.

[0036] Specifically, weather information can include rainfall, which can be acquired through a rain sensor. In modern car designs, the rain sensor is installed behind the windshield. The sensor determines the rainfall amount by analyzing the volume of water falling on the glass, thus assessing the current rainfall level on the road surface and adjusting the vehicle's settings for optimal rainy driving. This significantly improves the convenience and safety of driving in rainy conditions. In other words, the system can determine the current rainfall level; if it is greater than or equal to a preset threshold, indicating heavy rainfall (e.g., moderate rain, heavy rain, or torrential rain), the target driving mode can be set to rain mode.

[0037] In Rain Mode, fog lights can be activated, providing better illumination in rainy or low-visibility conditions to help the driver see the road ahead more clearly and make the vehicle more visible to other vehicles. The heated side mirrors automatically activate to prevent rainwater buildup, keeping them clear and improving the driver's field of vision. The Vehicle Stability Control (VSC) system also activates, helping to maintain vehicle stability on slippery surfaces and preventing loss of control. In Rain Mode, the VSC intervenes more actively to ensure driving safety. Therefore, it guarantees driver safety and automatically switches to Rain Mode, enhancing the user's driving experience.

[0038] According to one embodiment of this application, road information includes the degree of road congestion, and determining the target driving mode of the vehicle based on the road information includes: determining the target driving mode as an energy-saving mode when the degree of congestion meets a preset degree of congestion.

[0039] Specifically, road information can include road congestion levels. For example, a vehicle's smart cockpit can be equipped with an online map system that can acquire real-time road information, including but not limited to road congestion levels, traffic conditions, and speed limits. This online map system, combined with traffic management departments, satellite positioning systems, and vehicle-to-everything (V2X) technology, obtains real-time traffic data that reflects the current level of road congestion.

[0040] Preset congestion thresholds: One or more preset congestion thresholds are set to determine whether the road is congested. These thresholds can be set according to actual road conditions and vehicle speed. For example: Low congestion threshold: average vehicle speed below 20 km / h. Medium congestion threshold: average vehicle speed between 20 km / h and 40 km / h. High congestion threshold: average vehicle speed below 20 km / h for more than a certain duration (e.g., 3 minutes). When the road congestion level meets the preset congestion thresholds, the vehicle's target driving mode is determined to be energy-saving mode. The main purpose of energy-saving mode is to reduce vehicle energy consumption in congested road conditions while maintaining normal driving performance. For example, in energy-saving mode, engine power output can be reduced to avoid unnecessary acceleration and sudden braking, thereby reducing fuel or electricity consumption. To reduce the power of the air conditioning system and energy consumption, the engine can be automatically shut off when the vehicle is stopped to reduce idling fuel consumption.

[0041] Therefore, during urban commutes, especially during morning and evening rush hours when roads are often congested, vehicles automatically switch to energy-saving mode. This energy-saving mode significantly reduces vehicle energy consumption in congested conditions by optimizing power output, air conditioning system, and shift logic, while improving driving comfort and intelligent experience. This automated driving mode switching reflects the intelligent and environmentally friendly concepts of intelligent driving technology.

[0042] According to one embodiment of this application, road information includes the road bumpiness level, which includes a first bumpiness level, a second bumpiness level, and a third bumpiness level. Determining the target driving mode of the vehicle based on the road information includes: when the bumpiness level is the second bumpiness level or the third bumpiness level, determining the target driving mode as a sport mode, wherein the vibration acceleration corresponding to the first bumpiness level is greater than a first preset acceleration threshold and less than a second preset acceleration threshold; the vibration frequency corresponding to the first bumpiness level is greater than a first preset frequency threshold and less than a second preset frequency threshold; and the vibration amplitude corresponding to the first bumpiness level is greater than a first preset amplitude threshold and less than a second preset amplitude threshold. The vibration acceleration corresponding to the second level of bumpiness is greater than or equal to a second preset acceleration threshold and less than a third preset acceleration threshold; the vibration frequency corresponding to the second level of bumpiness is greater than or equal to a second preset frequency threshold and less than a third preset frequency threshold; the vibration amplitude corresponding to the second level of bumpiness is greater than or equal to a second preset amplitude threshold and less than a third preset amplitude threshold; the vibration acceleration corresponding to the third level of bumpiness is greater than or equal to a third preset acceleration threshold; the vibration frequency corresponding to the third level of bumpiness is greater than or equal to a third preset frequency threshold; and the vibration amplitude corresponding to the third level of bumpiness is greater than or equal to a third preset amplitude threshold. The motion mode includes adjusting at least one of the vehicle's suspension system, power system, and steering system. The first preset acceleration threshold, second preset acceleration threshold, third preset acceleration threshold, first preset frequency threshold, second preset frequency threshold, third preset frequency threshold, first preset amplitude threshold, second preset amplitude threshold, and third preset amplitude threshold can be determined according to actual conditions.

[0043] Specifically, road information includes the degree of road bumpiness, categorized into three levels: Level 1 (slight bumpiness), Level 2 (moderate bumpiness), and Level 3 (severe bumpiness). Level 1 bumpiness is slight, with minimal vibration and discomfort felt by passengers inside the vehicle. This typically occurs on smooth roads or when traversing slightly uneven surfaces. This type of bumpiness has minimal impact on vehicle handling and passenger comfort. Level 2 bumpiness is more noticeable, with passengers experiencing significant vibration and discomfort. This type of bumpiness usually occurs on roads with poor conditions, such as uneven, potholed, or undulating surfaces. While passengers may experience some discomfort on moderately bumpy roads, it has minimal impact on vehicle stability. Level 3 bumpiness is extremely severe, with passengers experiencing intense vibration and discomfort, potentially affecting driving safety. This type of bumpiness typically occurs in extremely challenging road conditions, such as rugged mountain roads or severely damaged surfaces. Driving on severely bumpy roads may lead to loss of vehicle control, threatening passenger safety. The vehicle's own vibration sensors can detect the degree of road bumps while the vehicle is driving. These sensors can accurately capture vibration changes caused by road bumps, potential obstacles, or collisions. When a car drives over uneven surfaces, the vibration sensors detect these subtle vibration signals in real time and analyze them in detail. Vibration sensors are typically installed in the vehicle's chassis, suspension system, or key parts of the body to detect vibration signals generated during vehicle operation. These sensors can measure the following parameters: Acceleration: The acceleration value of the vibration signal, usually expressed in g (gravitational acceleration). Frequency: The frequency of the vibration signal, usually expressed in Hz (Hertz). Amplitude: The amplitude of the vibration signal, i.e., the maximum amplitude of the vibration. Based on the frequency, acceleration, and amplitude of the vibration signal, the degree of road bumps is estimated, and the vehicle's infotainment system determines whether to switch to sport mode based on the degree of road bumps.

[0044] For example, when the bump level is at the second or third level, the target driving mode can be determined as Sport mode. The bump level can be classified based on parameters such as the acceleration, frequency, and amplitude of the vibration signal. For example, the classification criteria are: the first level of bump corresponds to a small vibration acceleration, for example, between 0.1g (first preset acceleration threshold) and 0.3g (second preset acceleration threshold); a low vibration frequency, for example, between 1Hz (first preset frequency threshold) and 5Hz (second preset frequency threshold); and a small vibration amplitude, for example, between 1mm (first preset amplitude threshold) and 3mm (second preset amplitude threshold). The second level of bump corresponds to a medium vibration acceleration, for example, between 0.3g (second preset acceleration threshold) and 0.6g (third preset acceleration threshold); a medium vibration frequency, for example, between 5Hz (second preset frequency threshold) and 10Hz (third preset frequency threshold); and a medium vibration amplitude, for example, between 3mm (second preset amplitude threshold) and 10mm (third preset amplitude threshold). The third level of turbulence corresponds to a larger vibration acceleration, for example, above 0.6g (third preset acceleration threshold), a higher vibration frequency, for example, above 10Hz (third preset frequency threshold), and a larger vibration amplitude, for example, above 10mm (third preset amplitude threshold).

[0045] Therefore, when the bumpiness level reaches the second level, the vehicle can switch to Sport mode, setting Sport as the target driving mode to optimize suspension and power output, thereby improving driving stability and comfort. Alternatively, when the bumpiness level reaches the third level, Sport mode can be set as the target driving mode to further enhance vehicle passability and stability. In this way, vibration sensors can monitor road conditions in real time and accurately determine the bumpiness level based on parameters such as the intensity and frequency of vibration signals, thus achieving intelligent switching of driving modes.

[0046] According to one embodiment of this application, the road information includes the spectral information of the road, and the target driving mode of the vehicle is determined based on the road information, including: determining whether the current road segment is a snow-covered road segment or an icy road segment based on the spectral information; and determining the target driving mode as snow mode if the current road segment is a snow-covered road segment or an icy road segment.

[0047] Specifically, road information can include the road's spectral information. For example, spectral information can be obtained through non-invasive road surface sensors. These sensors are based on multispectral measurement and remote sensing technologies. They emit light of specific wavelengths and receive the light reflected from the road surface to acquire its spectral information, including characteristics such as reflectance and absorptivity at different wavelengths. This allows for real-time collection of the road surface's spectral information, accurately determining its condition, such as whether it is icy, covered in snow, or has water accumulation. Snow has high reflectance in the visible light band (e.g., 400nm to 700nm) because it is white and reflects most visible light. Snow also has high reflectance in the near-infrared band (e.g., 700nm to 2500nm), but its spectral curve exhibits specific characteristics. Ice has low reflectance in the near-infrared band and shows significant absorption peaks at certain wavelengths. For example, the reflectance of ice drops significantly near 1500nm. Therefore, if the current road segment is covered in snow or ice, the target driving mode can be determined to be snow mode. In addition to spectral information, the vehicle can also use other sensors (such as ultrasonic sensors and lidar) to measure snow depth. When the snow depth exceeds 5cm, the vehicle will switch to snow mode.

[0048] In snow mode, power output can be adjusted, such as reducing engine power to prevent the vehicle from slipping on snow or ice. The suspension system can be adjusted, such as increasing suspension rigidity to reduce vehicle bounce on bumpy roads. Tire pressure can be adjusted, such as appropriately reducing tire pressure to increase tire-to-ground contact area and improve grip. The vehicle stability system is activated, and the ESP system intervenes more actively to help the vehicle maintain stability and prevent loss of control. Thus, the automatic mode switching reduces the driver's workload in adverse road conditions, enhances the driving experience, and this automatic mode switching based on spectral information and snow thickness reflects the intelligence and human-centered design of intelligent driving technology.

[0049] According to one embodiment of this application, road information includes the contact pressure between the vehicle's tires and the ground. Determining the vehicle's target driving mode based on the road information includes: determining whether the current road segment is a sandy or muddy road segment based on the contact pressure; and determining the target driving mode as a sandy mode if the current road segment is a sandy or muddy road segment.

[0050] Specifically, road information can include the contact pressure between a vehicle's tires and the ground. For example, this can be achieved by mounting ground pressure sensors on the vehicle's tires or suspension system to monitor the contact pressure in real time. When the vehicle is moving, the contact pressure between the tires and the ground is converted into an electrical signal by the sensor and transmitted to the vehicle's infotainment system. The sensor can detect changes in pressure and record the pressure value. In other words, when soil or ground is subjected to pressure, the sensitive element inside the sensor, such as a strain gauge or piezoresistive material, responds to this pressure and produces a corresponding deformation or change in resistance. These physical changes are then converted into electrical signals by the sensor, which can be transmitted to a receiving device via a wired connection or directly wirelessly. In the receiving device, these electrical signals undergo further data processing and analysis to derive specific information about the soil or ground pressure.

[0051] Sandy surfaces have relatively low load-bearing capacity, resulting in lower contact pressure between the tires and the ground. This is because sand particles are loose and cannot provide sufficient support like on a hard surface. Muddy surfaces also have low load-bearing capacity and are slippery, leading to lower contact pressure between the tires and the ground. One or more preset pressure thresholds can be set to determine whether the current road segment is sandy or muddy. For example, the pressure threshold for ordinary roads could be 150 kPa, while the pressure threshold for sandy or muddy surfaces could be 100 kPa or lower. When the pressure data falls below the preset threshold, the vehicle automatically switches to sand mode. Therefore, by analyzing this pressure data in detail, it is possible to indirectly infer whether the current road segment is sandy. This indirect judgment method is based on the unique physical characteristics of sand, namely the impact of its low load-bearing capacity on tire pressure. By using the above method, it is possible to determine whether the current road segment is sandy or muddy, and thus switch to sand mode when the current road segment is sandy or muddy.

[0052] In Sand Mode, the engine's power output is increased to help the vehicle gain sufficient traction on soft sand or mud. The suspension system can also be adjusted, such as increasing ground clearance to reduce friction between the chassis and the ground. Thus, by automatically selecting Sand Mode as the target driving mode, the driver's workload in adverse road conditions is reduced, and the vehicle's safety and driving experience on soft surfaces are improved, demonstrating the intelligence and user-friendliness of intelligent driving technology.

[0053] According to one embodiment of this application, road information includes a road tilt angle. Determining the target driving mode of the vehicle based on the road information includes: if the tilt angle is greater than a preset angle threshold, determining the target driving mode as a sport mode. The preset angle threshold can be determined according to actual conditions.

[0054] Specifically, road information includes road tilt angles. For example, by equipping vehicles with gyroscope sensors to measure the vehicle's tilt angle, there is a one-to-one correspondence between the vehicle's tilt angle and the road's tilt angle. Given the vehicle's tilt angle, the corresponding road tilt angle can be determined. The gyroscope provides accurate angle data in real time by detecting the vehicle's rotation and tilt angles in three-dimensional space, reflecting the vehicle's tilt state on the road. Preset angle thresholds can be adjusted according to actual driving needs and vehicle performance. For example, for typical steep slopes, the preset angle threshold can be set to 10° to 15°, while for extremely steep slopes, it can be set to 15° to 20°. Furthermore, the preset angle threshold can be flexibly adjusted based on vehicle type (e.g., sedan, SUV) and driving scenario (e.g., urban roads, mountain roads, off-road roads).

[0055] When the tilt angle exceeds a preset threshold, the vehicle's target driving mode is determined to be Sport mode. In Sport mode, engine power output is increased, providing stronger climbing ability, and the suspension system is adjusted to improve vehicle stability and handling. The vehicle stability system is activated to help maintain stability and prevent loss of control. Additionally, hill descent control can be activated to help maintain stability when descending slopes. This significantly improves the vehicle's climbing performance and driving safety on steep inclines. This automated driving mode switching reflects the intelligence and user-friendliness of intelligent driving technology, adapting to various complex road conditions.

[0056] According to one embodiment of this application, the method for switching vehicle driving modes further includes: when the current road segment is a multi-scenario fusion road segment, determining the priority of the driving mode, wherein the priority order includes snow mode having a higher priority than rain mode, rain mode having a higher priority than desert mode and sport mode, and desert mode and sport mode having a higher priority than energy-saving mode.

[0057] Specifically, in actual driving, drivers encounter far more than a single road condition. They frequently encounter road sections where multiple scenarios intertwine, such as snowy city main roads, rainy muddy roads, snowy and rainy conditions, and bumpy roads in snowy weather. When these road sections occur, the vehicle's infotainment system prioritizes its assessments for each scenario. For safety reasons, the priority is as follows: snow > rain > sandy & bumpy roads (these two will not occur simultaneously) > steep slopes > city main roads. In other words, multi-scenario road sections refer to road sections encountered by the vehicle that simultaneously contain multiple complex road conditions, such as: snowy city main roads (with both snow accumulation and traffic congestion), rainy muddy roads (with both rain and muddy surfaces), and snowy steep slopes (with both snow accumulation and steep inclines).

[0058] In multi-scenario road sections, vehicles need to determine the final driving mode according to priority rules. According to the embodiments of this application, the priority order is as follows: snow mode has the highest priority, followed by rain mode, desert mode has a lower priority than rain mode, sport mode has a lower priority than rain mode and is the same as desert mode, and energy-saving mode has the lowest priority.

[0059] Snow mode takes priority. If the current road section has both snow and other complex road conditions (such as rain, steep slopes, etc.), the vehicle will switch to snow mode first. This is because snow mode is crucial for ensuring driving safety, especially on snowy or icy surfaces where vehicles are prone to slipping and require priority handling. Rain mode is secondary. If the current road section has both rain and other complex road conditions (such as mud, traffic jams, etc.), the vehicle will switch to rain mode first. Rain mode improves driving safety and visibility on slippery roads. Desert mode and Sport mode: If the current road section has both desert and steep slope conditions, the vehicle will select either desert mode or sport mode depending on the specific situation. These two modes have the same priority, but the specific choice depends on the primary road condition. For example, if the road section is mainly sandy, the vehicle will switch to desert mode. If the road section is mainly steep slopes, the vehicle will switch to sport mode. Eco mode has the lowest priority and will only be activated when there are no other complex road conditions. Eco mode is mainly used to reduce energy consumption and is suitable for driving under normal road conditions.

[0060] Through priority rules, vehicles can handle the most dangerous road conditions (such as snow and rain) first, ensuring driving safety. For example, in snowy urban roads: even when encountering traffic congestion, the vehicle will prioritize switching to snow mode to ensure safety on snow-covered roads. In rainy mountain roads: even when encountering steep slopes, the vehicle will prioritize switching to rain mode to ensure safety on slippery roads. This ensures that the vehicle can prioritize switching to the safest and most suitable driving mode in multi-scenario road conditions. This priority mechanism not only improves driving safety in complex road conditions but also enhances the driving experience, reflecting the intelligence and human-centered design of intelligent driving technology.

[0061] In summary, the vehicle driving mode switching method according to the embodiments of this application obtains weather information and / or road information during the current vehicle driving process, determines the target driving mode of the vehicle based on the weather information and / or road information, and switches the current vehicle driving mode to the target driving mode if the weather information and / or road information does not change within a preset time period. Therefore, this method can free the driver's hands, automatically switch the vehicle's driving mode, thereby effectively improving the driver's driving experience and the intelligence of the cockpit, and can be adapted to most intelligent vehicles on the market.

[0062] Corresponding to the above embodiments, this application also proposes a vehicle.

[0063] like Figure 2 As shown, the vehicle 200 in this embodiment may include: a memory 210, a processor 220, and a program stored in the memory 210 and executable on the processor 220. When the processor 220 executes the program, it implements the above-described method for switching vehicle driving modes.

[0064] According to the embodiments of this application, by executing the above-described vehicle driving mode switching method, the driver's hands can be freed and the vehicle's driving mode can be automatically switched, thereby effectively improving the driver's driving experience and the intelligence of the cockpit driving, and it can be adapted to most intelligent vehicles on the market.

[0065] Corresponding to the above embodiments, this application also proposes a vehicle driving mode switching device.

[0066] like Figure 3 As shown, the vehicle driving mode switching device 100 of this application embodiment includes: an acquisition module 110, a determination module 120 and a switching module 130.

[0067] The acquisition module 110 is used to acquire weather information and / or road information during the current vehicle driving process. The determination module 120 is used to determine the target driving mode of the vehicle based on the weather information and / or road information. The switching module 130 is used to switch the current driving mode of the vehicle to the target driving mode if the weather information and / or road information does not change within a preset time period.

[0068] According to one embodiment of this application, the weather information includes rainfall. The determining module 120 determines the target driving mode of the vehicle based on the weather information. Specifically, it is used to: determine the target driving mode as a rain mode when the rainfall is greater than or equal to a preset rainfall threshold. The rain mode includes turning on the fog lights, turning on the rearview mirror heating and turning on the vehicle stability system.

[0069] According to one embodiment of this application, the road information includes the degree of road congestion. The determining module 120 determines the target driving mode of the vehicle based on the road information, specifically for: determining the target driving mode as an energy-saving mode when the degree of congestion meets the preset degree of congestion.

[0070] According to one embodiment of this application, road information includes the road bumpiness level, which includes a first bumpiness level, a second bumpiness level, and a third bumpiness level. The determining module 120 determines the target driving mode of the vehicle based on the road information. Specifically, it is used to: determine the target driving mode as a sport mode when the bumpiness level is the second or third bumpiness level, wherein the vibration acceleration corresponding to the first bumpiness level is greater than a first preset acceleration threshold and less than a second preset acceleration threshold, the vibration frequency corresponding to the first bumpiness level is greater than a first preset frequency threshold and less than a second preset frequency threshold, and the vibration amplitude corresponding to the first bumpiness level is greater than a first preset amplitude threshold and less than a second preset amplitude threshold. The thresholds are as follows: the vibration acceleration corresponding to the second level of bumpiness is greater than or equal to the second preset acceleration threshold and less than the third preset acceleration threshold; the vibration frequency corresponding to the second level of bumpiness is greater than or equal to the second preset frequency threshold and less than the third preset frequency threshold; the vibration amplitude corresponding to the second level of bumpiness is greater than or equal to the second preset amplitude threshold and less than the third preset amplitude threshold; the vibration acceleration corresponding to the third level of bumpiness is greater than or equal to the third preset acceleration threshold; the vibration frequency corresponding to the third level of bumpiness is greater than or equal to the third preset frequency threshold; and the vibration amplitude corresponding to the third level of bumpiness is greater than or equal to the third preset amplitude threshold. The motion mode includes adjusting at least one of the vehicle's suspension system, power system, and steering system.

[0071] According to one embodiment of this application, the road information includes the spectral information of the road. The determination module 120 determines the target driving mode of the vehicle based on the road information, specifically for: determining whether the current road segment is a snow-covered road segment or an icy road segment based on the spectral information; and determining the target driving mode as snow mode if the current road segment is a snow-covered road segment or an icy road segment.

[0072] According to one embodiment of this application, the road information includes the contact pressure between the vehicle's tires and the ground. The determination module 120 determines the vehicle's target driving mode based on the road information, specifically for: determining whether the current road segment is a sandy road segment or a muddy road segment based on the contact pressure; and determining the target driving mode as a sandy mode if the current road segment is a sandy road segment or a muddy road segment.

[0073] According to one embodiment of this application, the road information includes the road tilt angle, and the determination module 120 determines the target driving mode of the vehicle based on the road information, specifically used to: determine the target driving mode as sport mode when the tilt angle is greater than a preset angle threshold.

[0074] According to one embodiment of this application, the determining module 120 is further configured to: determine the priority of driving modes when the current road segment is a multi-scenario fusion road segment, wherein the priority order includes snow mode having a higher priority than rain mode, rain mode having a higher priority than desert mode and sport mode, and desert mode and sport mode having a higher priority than energy-saving mode.

[0075] It should be noted that for details not disclosed in the vehicle driving mode switching device of this application embodiment, please refer to the details disclosed in the vehicle driving mode switching method of this application embodiment, which will not be repeated here.

[0076] According to an embodiment of this application, a vehicle driving mode switching device comprises an acquisition module for acquiring weather and / or road information during the current vehicle driving process, a determination module for determining the target driving mode of the vehicle based on the weather and / or road information, and a switching module for switching the current vehicle driving mode to the target driving mode if the weather and / or road information remains unchanged within a preset time period. Therefore, this device can free the driver's hands and automatically switch the vehicle's driving mode, thereby effectively improving the driver's driving experience and cockpit intelligence, and is compatible with most intelligent vehicles on the market.

[0077] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0078] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0079] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0080] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0081] In this application, unless otherwise expressly specified and limited, the terms "installation," "connection," "joining," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise expressly limited. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0082] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A method for switching vehicle driving modes, characterized in that, The method includes: Obtain weather and / or road information during the current vehicle's driving process; The target driving mode of the vehicle is determined based on the weather information and / or the road information. If the weather information and / or the road information do not change within a preset time period, the current driving mode of the vehicle will be switched to the target driving mode. The road information includes the road's bumpiness level, which includes a first bumpiness level, a second bumpiness level, and a third bumpiness level. Determining the vehicle's target driving mode based on the road information includes: When the bump level is a second bump level or a third bump level, the target driving mode is determined to be a sport mode, wherein the vibration acceleration corresponding to the first bump level is greater than a first preset acceleration threshold and less than a second preset acceleration threshold, the vibration frequency corresponding to the first bump level is greater than a first preset frequency threshold and less than a second preset frequency threshold, the vibration amplitude corresponding to the first bump level is greater than a first preset amplitude threshold and less than a second preset amplitude threshold, the vibration acceleration corresponding to the second bump level is greater than or equal to the second preset acceleration threshold and less than a third preset acceleration threshold, the vibration frequency corresponding to the second bump level is greater than or equal to the second preset frequency threshold and less than a third preset frequency threshold, the vibration amplitude corresponding to the second bump level is greater than or equal to the second preset amplitude threshold and less than a third preset amplitude threshold, the vibration acceleration corresponding to the third bump level is greater than or equal to the third preset acceleration threshold, the vibration frequency corresponding to the third bump level is greater than or equal to the third preset frequency threshold, and the vibration amplitude corresponding to the third bump level is greater than or equal to the third preset amplitude threshold. The sport mode includes adjusting at least one of the vehicle's suspension system, power system, and steering system.

2. The method for switching vehicle driving modes according to claim 1, characterized in that, The weather information includes rainfall, and determining the target driving mode for the vehicle based on the weather information includes: If the rainfall is greater than or equal to a preset rainfall threshold, the target driving mode is determined to be a rain mode, wherein the rain mode includes turning on the fog lights, turning on the rearview mirror heating, and turning on the vehicle stability system.

3. The method for switching vehicle driving modes according to claim 1, characterized in that, The road information includes the degree of road congestion, and determining the target driving mode of the vehicle based on the road information includes: If the congestion level meets the preset congestion level, the target driving mode is determined to be the energy-saving mode.

4. The method for switching vehicle driving modes according to claim 1, characterized in that, The road information includes the spectral information of the road, and determining the target driving mode of the vehicle based on the road information includes: Based on the spectral information, determine whether the current road segment is a snow-covered or icy road segment; If the current road segment is a snow-covered or icy road segment, the target driving mode is determined to be snow mode.

5. The method for switching vehicle driving modes according to claim 1, characterized in that, The road information includes the contact pressure between the vehicle's tires and the ground. Determining the target driving mode of the vehicle based on the road information includes: Based on the contact pressure, determine whether the current road section is a sandy road section or a muddy road section; If the current road segment is either the sandy road segment or the muddy road segment, the target driving mode is determined to be the sandy mode.

6. The method for switching vehicle driving modes according to claim 1, characterized in that, The road information includes the road inclination angle, and determining the target driving mode of the vehicle based on the road information includes: If the tilt angle is greater than a preset angle threshold, the target driving mode is determined to be sport mode.

7. The method for switching vehicle driving modes according to any one of claims 1-6, characterized in that, The method further includes: When the current road segment is a multi-scenario integrated road segment, the priority of the driving mode is determined, wherein the priority order includes that the priority of snow mode is greater than the priority of rain mode, the priority of rain mode is greater than the priority of desert mode and sport mode, and the priority of desert mode and sport mode is greater than the priority of energy-saving mode.

8. A vehicle, characterized in that, include: A memory, a processor, and a program stored in the memory and executable on the processor, wherein when the processor executes the program, it implements the vehicle driving mode switching method according to any one of claims 1-7.

9. A vehicle driving mode switching device, characterized in that, The device includes: The acquisition module is used to acquire weather information and / or road information during the current driving process of the vehicle; The determination module is used to determine the target driving mode of the vehicle based on the weather information and / or the road information; The switching module is used to switch the current driving mode of the vehicle to the target driving mode if the weather information and / or the road information does not change within a preset time period. The road information includes the road's bumpiness level, which includes a first bumpiness level, a second bumpiness level, and a third bumpiness level. Determining the vehicle's target driving mode based on the road information includes: When the bump level is a second bump level or a third bump level, the target driving mode is determined to be a sport mode, wherein the vibration acceleration corresponding to the first bump level is greater than a first preset acceleration threshold and less than a second preset acceleration threshold, the vibration frequency corresponding to the first bump level is greater than a first preset frequency threshold and less than a second preset frequency threshold, the vibration amplitude corresponding to the first bump level is greater than a first preset amplitude threshold and less than a second preset amplitude threshold, the vibration acceleration corresponding to the second bump level is greater than or equal to the second preset acceleration threshold and less than a third preset acceleration threshold, the vibration frequency corresponding to the second bump level is greater than or equal to the second preset frequency threshold and less than a third preset frequency threshold, the vibration amplitude corresponding to the second bump level is greater than or equal to the second preset amplitude threshold and less than a third preset amplitude threshold, the vibration acceleration corresponding to the third bump level is greater than or equal to the third preset acceleration threshold, the vibration frequency corresponding to the third bump level is greater than or equal to the third preset frequency threshold, and the vibration amplitude corresponding to the third bump level is greater than or equal to the third preset amplitude threshold. The sport mode includes adjusting at least one of the vehicle's suspension system, power system, and steering system.

Citation Information

Patent Citations

  • Method and system for switching driving modes, computer equipment and storage medium

    CN115246400A

  • Intelligent safe driving auxiliary system aiming at working conditions in rainy days

    CN217532776U