Vehicle driving mode recommendation methods, devices, systems and storage media

Abstract

This application relates to a vehicle driving mode recommendation method, apparatus, system, and storage medium. The vehicle driving mode recommendation method includes: acquiring current environmental information, driving state information, and chassis information of a target vehicle; identifying the terrain where the target vehicle is located based on the current environmental information, driving state information, and chassis information to obtain a terrain identification result; and determining the recommended driving mode for the target vehicle based on the terrain identification result. It can realize the determination of the recommended driving mode corresponding to the target vehicle based on terrain identification, thereby achieving proactive driving mode recommendation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle control, and in particular to a vehicle driving mode recommendation method, device, system and storage medium. BACKGROUND

[0002] At present, in order to adapt to different driving environments, the vehicle-mounted system sets different driving modes (such as economy mode, comfort mode, sports mode, etc.) for the vehicle in advance. At present, the user often actively selects the driving mode, and the vehicle-mounted system cannot automatically recommend the driving mode. When the driving mode selected by the user does not match the current driving state of the vehicle, the driving performance of the vehicle will be affected.

[0003] In view of the problem in the related art that the driving mode cannot be actively recommended, no effective solution has been proposed. SUMMARY

[0004] The present application provides a vehicle driving mode recommendation method, device, system and storage medium to solve the problem in the related art that the driving mode cannot be actively recommended.

[0005] In a first aspect, the present application provides a vehicle driving mode recommendation method, comprising:

[0006] obtaining current environment information, driving state information and chassis information of a target vehicle;

[0007] identifying a terrain where the target vehicle is located according to the current environment information, driving state information and chassis information, to obtain a terrain identification result;

[0008] determining a recommended driving mode of the target vehicle according to the terrain identification result.

[0009] In some embodiments, determining the recommended driving mode of the target vehicle according to the terrain identification result comprises:

[0010] when the terrain identification result meets a plurality of preset terrain conditions, determining the recommended driving mode from a plurality of driving modes based on a mode priority corresponding to each of the terrain conditions.

[0011] In some embodiments, when the terrain identification result meets a plurality of preset terrain conditions, determining the recommended driving mode from a plurality of driving modes based on a mode priority corresponding to each of the terrain conditions comprises:

[0012] determining the driving mode corresponding to the terrain condition with the highest mode priority as the recommended driving mode of the target vehicle.

[0013] In some embodiments, the driving modes include one or more of a rock mode, a sand mode, a snow mode, a mud mode, a grass mode, a mountain mode, a wading mode, and a sports mode.

[0014] In some embodiments, the terrain in which the target vehicle is located is identified according to the current environment information, the driving state information, and the chassis information, to obtain a terrain identification result.

[0015] It is respectively determined whether the current environment information, the driving state information, and the chassis information meet corresponding terrain conditions, and a terrain identification result of the target vehicle is determined according to a determination result.

[0016] In some embodiments, the method further includes:

[0017] outputting the recommended driving mode to a user;

[0018] adjusting the target vehicle to the recommended driving mode in response to a confirmation operation of the user on the recommended driving mode.

[0019] In a second aspect, a vehicle driving mode recommendation device is provided in the present embodiment, and includes an acquisition module, an identification module, and a recommendation module, wherein:

[0020] The acquisition module is configured to acquire current environment information, driving state information, and chassis information of a target vehicle.

[0021] The identification module is configured to identify a terrain in which the target vehicle is located according to the current environment information, the driving state information, and the chassis information, to obtain a terrain identification result.

[0022] The recommendation module is configured to determine a recommended driving mode of the target vehicle according to the terrain identification result.

[0023] In a third aspect, a vehicle driving mode recommendation system is provided in the present embodiment, and includes a data acquisition device and a controller, wherein the data acquisition device is in communication connection with the controller.

[0024] The data acquisition device is configured to acquire current environment information, driving state information, and chassis information of a target vehicle.

[0025] The controller is configured to execute the vehicle driving mode recommendation method of the first aspect.

[0026] In a fourth aspect, an electronic device is provided in the present embodiment, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the vehicle driving mode recommendation method of the first aspect when executing the computer program.

[0027] In a fifth aspect, a storage medium is provided in the present embodiment, which stores a computer program executable by a processor to implement the vehicle driving mode recommendation method of the first aspect.

[0028] Compared with the related art, the vehicle driving mode recommendation method, device, system and storage medium are provided in the present embodiment. The vehicle driving mode recommendation method can obtain current environment information, driving state information and chassis information of a target vehicle, identify a terrain where the target vehicle is located according to the current environment information, the driving state information and the chassis information to obtain a terrain identification result, and determine a recommended driving mode of the target vehicle according to the terrain identification result. The vehicle driving mode recommendation method can determine the recommended driving mode corresponding to the target vehicle based on terrain identification, thereby actively recommending the driving mode.

[0029] The details of one or more embodiments of the present application are presented in the following drawings and description to make other features, objects and advantages of the present application more apparent. BRIEF DESCRIPTION OF DRAWINGS

[0030] The accompanying drawings illustrated herein are used to provide further understanding of the present application, constitute a part of the present application, and the illustrative embodiments of the present application and their descriptions are used to explain the present application, and do not constitute an improper limitation on the present application. In the drawings:

[0031] Figure 1 is a hardware structure block diagram of a terminal of the vehicle driving mode recommendation method of the present embodiment;

[0032] Figure 2 is a flowchart of the vehicle driving mode recommendation method of the present embodiment;

[0033] Figure 3 is a flowchart of the vehicle driving mode recommendation method of some embodiments;

[0034] Figure 4 is a mode priority diagram corresponding to terrain conditions of some embodiments;

[0035] Figure 5 is a data collection diagram of the present embodiment;

[0036] Figure 6 is a vehicle element interaction diagram of the present embodiment;

[0037] Figure 7 This is a structural block diagram of the vehicle driving mode recommendation device in this embodiment;

[0038] Figure 8 This is a schematic diagram of the vehicle driving mode recommendation system in this embodiment. Detailed Implementation

[0039] To better understand the purpose, technical solution, and advantages of this application, the application is described and illustrated below in conjunction with the accompanying drawings and embodiments.

[0040] Unless otherwise defined, the technical or scientific terms used in this application shall have the general meaning as understood by one of ordinary skill in the art to which this application pertains. Words such as “a,” “an,” “an,” “the,” “the,” and “these,” used in this application, do not indicate quantitative limitation and may be singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that comprises a series of steps or modules (units) is not limited to the listed steps or modules (units) but may include steps or modules (units) not listed, or may include other steps or modules (units) inherent to such processes, methods, products, or devices. The terms “connected,” “linked,” and “coupled,” used in this application, are not limited to physical or mechanical connections but may include electrical connections, whether direct or indirect. The term “multiple” used in this application refers to two or more. The "and / or" operator describes the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: A alone, A and B simultaneously, and B alone. Typically, the character " / " indicates that the objects before and after it are in an "or" relationship. The terms "first," "second," and "third," etc., used in this application are merely for distinguishing similar objects and do not represent a specific ordering of the objects.

[0041] The method embodiments provided in this example can be executed on a terminal, computer, or similar computing device. For example, it can run on a terminal. Figure 1 This is a hardware structure block diagram of the terminal for the vehicle driving mode recommendation method in this embodiment. For example... Figure 1 As shown, a terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 and a memory 104 for storing data are also included. The processor 102 may be, but is not limited to, a microprocessor (MCU) or a programmable logic device (FPGA). The terminal may also include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that… Figure 1The illustrated structure is merely schematic and does not limit the structure of the terminal described above. For example, the terminal can further include more or fewer components than those shown, or have a different configuration from that shown. Figure 1 The illustrated structure is merely schematic and does not limit the structure of the terminal described above. For example, the terminal can further include more or fewer components than those shown, or have a different configuration from that shown. Figure 1 The illustrated structure is merely schematic and does not limit the structure of the terminal described above. For example, the terminal can further include more or fewer components than those shown, or have a different configuration from that shown.

[0042] The memory 104 can be used to store computer programs, such as software programs of application software and modules, such as a computer program corresponding to the vehicle driving mode recommendation method in the present embodiment. The processor 102 can execute various functional applications and data processing, i.e., implement the method described above, by running the computer programs stored in the memory 104. The memory 104 can include a high-speed random access memory, and can further include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories. In some examples, the memory 104 can further include memories remotely arranged with respect to the processor 102, which can be connected to the terminal through a network. Examples of the network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0043] The transmission device 106 is configured to receive or send data via a network. The network includes a wireless network provided by a communication provider of the terminal. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is configured to communicate with the Internet in a wireless manner.

[0044] In the present embodiment, a vehicle driving mode recommendation method is provided, Figure 2 The flowchart of the vehicle driving mode recommendation method of the present embodiment is shown in FIG. 2, which includes the following steps: Figure 2

[0045] In step S210, current environment information, driving state information, and chassis information of a target vehicle are acquired.

[0046] ​The current environment information can be information representing natural factors and spatial positions of an environment in which the target vehicle is located. The current environment information can include, but is not limited to, position information of the target vehicle, weather information of an area in which the target vehicle is located, and navigation map information of the target vehicle. In particular, the position information, the weather information, and the navigation map information of the target vehicle can be monitored through a Telematics & Connectivity Antenna Module (TCAM) connected to a vehicle information system, and the current environment information can be transmitted to a Central Domain Controller (CSC) through communication with the CSC.

[0047] The driving state information can be information representing states of vehicle components during driving of the target vehicle. The driving state information can include, but is not limited to, vehicle speed, slip information, tire speed, steering wheel angle information, intelligent driving information, engine torque information, and engine state. The vehicle speed, the slip information, and the tire speed of the target vehicle can be monitored through a brake control module (BCM), and the steering wheel angle information of the target vehicle can be monitored through a power steering control module (PSCM). An engine control module (ACL) can monitor the engine torque information and the engine state. Then, the BCM, the PSCM, and the ACL can transmit the information collected by the respective modules to the CSC. In addition, a high-performance acceleration computer of the CSC can monitor intelligent driving information, and a user experience computer of the CSC can monitor a driver state.

[0048] The chassis information can include gradient information, wheel speed information, water wading information, underwater wading depth, wheel state, and chassis suspension height. A zone controller (ZCT) can monitor the chassis information such as the suspension height and the gradient information of the target vehicle. The ZCT can transmit the collected information to the CSC.

[0049] In this way, information collection in different dimensions can be achieved in this step. The data collection can be achieved based on multi-dimensional sensing methods such as vehicle network sensing and intelligent driving sensing. For example, vehicle network sensing can be achieved based on meteorological information, map information, and data collected by an in-vehicle camera. Intelligent driving sensing can be achieved through laser radar recognition and camera recognition.

[0050] In step S220, the terrain in which the target vehicle is located is identified based on the current environment information, the driving state information, and the chassis information, and a terrain identification result is obtained.

[0051] The CSC can determine the terrain where the target vehicle is currently located according to the received various types of data. Specifically, the current environment information, the driving state information and the chassis information can be analyzed according to the different terrain conditions set in advance to obtain a terrain recognition result. The terrain recognition result can indicate the comparison result of the current environment information, the driving state information and the chassis information with the comparison threshold or the numerical range set in the corresponding terrain condition.

[0052] In step S230, the recommended driving mode of the target vehicle is determined according to the terrain recognition result.

[0053] The driving mode can include a power driving mode and a chassis mode of the vehicle. According to the terrain recognition result, the terrain where the target vehicle is located is determined, and thus the recommended driving mode of the target vehicle is determined. For example, when it is determined that the target vehicle is in a snowfield, a snowfield mode set in advance for the snowfield terrain can be determined as the recommended driving mode of the target vehicle; when it is determined that the target vehicle is in a sand field, a sand field mode set in advance for the sand field terrain can be determined as the recommended driving mode. Details are not described herein.

[0054] In addition, different driving modes can provide different driving perceptions to the user. For example, the comfort mode can focus on the suspension dynamic impact capacity to achieve a more stable suspension form, which is suitable for driving on non-paved twisted roads, non-paved mountain roads or "V" type roads. The standard mode focuses on dynamic performance, which is suitable for driving on urban viaducts, high-speed viaducts, cement roads and urban bridge roads. The comfort mode focuses on the rear passengers for chassis adjustment, simulates the power characteristics of a fuel engine, reduces the degree of car sickness, ensures the dynamic balance of the vehicle and improves the riding comfort of the passengers, so that the vehicle can be driven on highways, provincial roads and cement roads. Then, the CSD (Center Stack Display, CSD for short) outputs the recommended driving mode suitable for the terrain where the target vehicle is currently located to the user for confirmation.

[0055] In the current vehicle, multiple different driving modes can be configured for the user to experience. In the existing related technology, the user often selects the desired driving mode and controls the vehicle to adjust to the driving mode selected by the user through interaction with the vehicle system. When the user selects a driving mode that does not match the current terrain due to lack of understanding of the driving mode, the performance of the vehicle will be affected. In addition, the recommendation function of the vehicle mode can be selected by the user to start. For example, the user uses the touch steering wheel adjustment or the CSD touch screen to select to start the recommendation function of the vehicle driving mode, so as to recommend a suitable driving mode for the target vehicle according to the terrain where the target vehicle is located.

[0056] To solve the problem that the driving mode cannot be actively recommended for the user in the prior art, the embodiment, through the above steps S210 to S230, identifies the terrain where the vehicle is located according to the driving characteristics, driving scene and chassis information of the user, and then realizes the targeted power driving mode and chassis comfort mode according to the terrain. Without manual selection of the driving mode by the user, the controllability and stability of the vehicle under different driving conditions can be improved, and thus the safety can be enhanced. When the driving mode is adjusted, the recommended driving mode can be switched to by a user-perceptible mode, such as a multi-dimensional perception mode of power, chassis, steering and braking.

[0057] Exemplarily, the following table is the vehicle parameters of various driving modes provided by the embodiment. As shown in the following table, the parameter values of driving, suspension height, continuously controlled damping (CDC), steering, active stabilizer, anti-lock braking system (ABS), traction control system (TCS), electronic stability program (ESP), energy recovery and braking corresponding to different driving modes can be different. The map in driving is an absolute pressure sensor of an intake manifold. The medium, low and high in the table can be different numerical values set for the corresponding vehicle parameter items. The parameter n (for example, parameters 1, 2, 3, 5, 7 and 8 in the table) can be different parameter values preset for the active stabilizer. Similarly, the normal parameter, the sport parameter, the wet parameter, the rock parameter, the grass parameter, the mud parameter, the sand parameter and the deep snow parameter can also be different parameter values preset for the ABS, TCS and ESP. For example, the ABS slip rate of the rock parameter is increased, the TCS braking is enhanced, and the torque is reduced. The TCS braking of the water parameter is enhanced, and the torque is reduced. The energy recovery can be selected to represent the form of energy recovery. The braking parameter can determine the optional pedal feeling. “One box” represents a brake-by-wire system, and CST represents a vehicle stability control system.

[0058]

[0059] The above steps S210 to S230 obtain the current environment information, driving state information and chassis information of the target vehicle, identify the terrain where the target vehicle is located according to the current environment information, driving state information and chassis information, obtain a terrain identification result, and determine the recommended driving mode of the target vehicle according to the terrain identification result. The embodiment can determine the recommended driving mode of the target vehicle based on the terrain identification, and thus the active recommendation of the driving mode can be realized.

[0060] In one embodiment, based on the above step S230, the recommended driving mode of the target vehicle is determined according to the terrain identification result, which can specifically include:

[0061] When the terrain recognition result meets multiple preset terrain conditions, a recommended driving mode is determined from the multiple driving modes based on the mode priorities respectively corresponding to the various terrain conditions. Among them, the different types of data collected above may meet different terrain conditions respectively. For example, according to the wiper activation state in the driving state information of the target vehicle, it is determined that the wiper is activated, and in combination with the weather information in the current environment information indicating that the current rainfall is greater than the pre-set moderate rain rainfall threshold, and the environmental temperature is less than 0 degrees Celsius, then the terrain recognition result indicates that the target vehicle meets the terrain condition of snowfield, and it is determined that the target vehicle is driving on the snowfield. On this basis, if according to some other information of the target vehicle, for example, the slope is greater than the pre-set slope threshold and the speed is greater than or equal to the pre-set speed threshold within a preset time period. At this time, the target vehicle not only meets the snowfield terrain condition, but also meets the mountain terrain condition. Therefore, the recommended driving mode can be determined from the snowfield mode corresponding to the snowfield terrain condition and the mountain mode corresponding to the mountain terrain condition according to the mode priorities respectively corresponding to the snowfield terrain condition and the mountain terrain condition.

[0062] Among them, the top-ranked or top-ranked driving modes can be selected according to the high and low of the mode priority as the recommended driving mode to output to the user. All driving modes corresponding to terrain conditions that meet the terrain recognition result can also be output to the user as recommended driving modes together with the mode priority. When multiple matched driving modes are output to the user, the user can select the most desired driving mode for driving from them, so as to improve the driving performance of the vehicle and avoid safety hazards by narrowing the range of selectable driving modes or directly determining a single most matched driving mode.

[0063] The mode priority can be pre-divided according to the needs of actual application scenarios. For example, the comfort mode can be set as the default driving mode, and the mode priorities of other driving modes can be manually set according to the common scenarios of the vehicle. The above description of the driving mode recommendation of the snowfield mode and the mountain mode is only an example and does not constitute a limitation on the specific implementation manner. In addition, the setting of different terrain conditions can also be determined by those skilled in the art according to the needs of actual application scenarios, and the present embodiment does not make specific limitations.

[0064] Specifically, in one embodiment, when the terrain recognition result meets multiple preset terrain conditions, a recommended driving mode is determined from the multiple driving modes based on the mode priorities respectively corresponding to the various terrain conditions, which can include:

[0065] The driving mode corresponding to the terrain condition with the highest mode priority is determined as the recommended driving mode of the target vehicle.

[0066] In the embodiment, when it is determined that the terrain recognition result meets the plurality of preset terrain conditions, the driving mode corresponding to the terrain condition with the highest priority is determined as the recommended driving mode of the target vehicle. Thus, the embodiment can provide the user with the driving mode with the highest performance and the most matched driving condition of the target vehicle when recommending the driving mode.

[0067] In addition, in an embodiment, the driving modes include one or more of a rock mode, a sand mode, a snow mode, a mud mode, a grass mode, a mountain road mode, a wading mode, and a sports mode. The embodiment sets the corresponding driving mode for different terrains that the vehicle can travel on, so as to maximize the range of terrains covered by the driving mode.

[0068] In an embodiment, based on the step S220, the terrain of the target vehicle is identified according to the current environment information, the driving state information, and the chassis information, and a terrain recognition result is obtained. The process can include:

[0069] It is respectively determined whether the current environment information, the driving state information, and the chassis information meet the corresponding terrain conditions. The terrain recognition result of the target vehicle is determined according to the determination result.

[0070] The corresponding terrain conditions can be set for different terrains, respectively. For example, for the wading mode, the corresponding terrain conditions are set as follows: the wading detection function is activated, the vehicle speed is within a preset wading vehicle speed range, and the wading depth is greater than a preset depth (for example, 8 cm). When the driving state information and the chassis information of the target vehicle meet the contents in the corresponding terrain conditions of the wading mode, it is determined that the terrain recognition result of the target vehicle meets the terrain conditions of wading, and it is further determined that the target vehicle is in the wading terrain.

[0071] It can be understood that the data involved in the terrain determination can be different for different terrains. For example, the wading determination mainly involves the chassis information. For the determination of a slippery terrain, the driving state information (for example, whether the wiper is opened), the current environment information (weather, temperature), and the like can be involved. The embodiment determines the terrain recognition result of the target vehicle based on the terrain condition determination, which can improve the accuracy of the terrain recognition.

[0072] In addition, in an embodiment, the vehicle driving mode recommendation method can further include:

[0073] The recommended driving mode is output to the user; and in response to a confirmation operation of the recommended driving mode by the user, the target vehicle is controlled to adjust to the recommended driving mode. The recommended driving mode can be output to the user through a display screen on the vehicle, such as a CSD, and then in response to a confirmation of the recommended driving mode by the user, the target vehicle is controlled to travel in the recommended driving mode. This embodiment can realize active recommendation of the driving mode, and realize confirmation interaction of the driving mode with the user, thereby improving the user experience.

[0074] Figure 3 is a flowchart of a vehicle driving mode recommendation method of some embodiments, as shown in Figure 3 The vehicle driving mode recommendation method comprises the following steps:

[0075] In step S301, current environment information, driving state information, and chassis information of a target vehicle are obtained.

[0076] In step S302, it is respectively determined whether the current environment information, the driving state information, and the chassis information meet corresponding terrain conditions; and a terrain recognition result of the target vehicle is determined according to the determination results.

[0077] In step S303, when the terrain recognition result meets multiple preset terrain conditions, mode priorities corresponding to the multiple preset terrain conditions are determined.

[0078] In step S304, among the mode priorities corresponding to the multiple preset terrain conditions, a driving mode corresponding to a terrain condition corresponding to a highest mode priority is determined as a recommended driving mode of the target vehicle.

[0079] Figure 4 is a mode priority corresponding to terrain condition diagram of some embodiments, as shown in Figure 4 The terrain with the highest mode priority one can include snow, rock, deep snow, sand, mud, and grass (or gravel). Among them, when the wiper is in an activated state, the rainfall is greater than the moderate rainfall, and the environmental temperature is less than 0 degrees Celsius, it can be determined that the vehicle is in snow or deep snow; or the terrain conditions corresponding to rock, sand, mud, and grass (or gravel) are met, it is determined that the vehicle is in the corresponding terrain.

[0080] The terrain with the second mode priority is a wading terrain. The terrain condition of the wading terrain can be that the wading detection function is in an activated state, the vehicle speed is greater than a pre-labeled lower limit value of the wading speed (which can be in kilometers per hour (kph)), is less than or equal to 15 kph, and the wading depth is greater than a preset depth value (for example, 8 centimeters).

[0081] The mode priority three is a wet and slippery terrain. The terrain condition of the wet and slippery terrain is that the front wiper is in an activated state, the rainfall is greater than or equal to a preset 4 mm, and the duration is greater than 120 seconds, and the ambient temperature is greater than or equal to 4 degrees Celsius; or, according to the wheel vibration detection result and the tire slip state, the preset wet and slippery state is met; or the road surface water sensor detects that the road surface water state is a wet and slippery state.

[0082] The mode priority four is a mountain road terrain. The terrain condition of the mountain road terrain is that the slope signal is reliable and the slope signal is greater than a preset mountain road curvature threshold, and the duration is greater than a preset mountain mode duration, and the vehicle speed is greater than or equal to a preset mountain terrain vehicle speed.

[0083] The mode priority five can include a sports terrain, a relaxed terrain, or an economic terrain respectively. Among them, the terrain condition of the sports terrain is that the acceleration pedal (AccPed) opening degree change rate is greater than a preset first opening degree change threshold (percentage per second), and the acceleration pedal opening degree is greater than 70%, and the duration is greater than a preset sports mode duration.

[0084] The terrain condition of the economic terrain is that the number of passengers is less than a preset 3, and the second row has no passengers, and the acceleration pedal opening degree is greater than or equal to 5% and less than or equal to 20%, and the duration is greater than a preset economic mode duration.

[0085] The terrain condition of the relaxed terrain is that the number of passengers is greater than or equal to 3, and the acceleration pedal opening degree is greater than or equal to 5% and less than or equal to 20%, and the duration is greater than a preset relaxed mode duration; or, the rear row has passengers, and the acceleration pedal opening degree is greater than or equal to 5% and less than or equal to 20%, and the duration is greater than a preset relaxed mode duration.

[0086] Among them, in the relaxed mode, when it is detected that the number of passengers is greater than or equal to 3, and the change rate of the acceleration pedal opening degree is greater than a preset second opening degree change threshold, or the rear row has passengers and the change rate of the acceleration pedal opening degree is greater than a preset third opening degree change threshold; or the change rate of the acceleration pedal opening degree is greater than or equal to 30% and less than or equal to 60%, and the duration is greater than a preset comfortable duration, the comfortable mode is confirmed as the recommended driving mode.

[0087] In the economic mode, when it is detected that the change rate of the acceleration pedal opening degree is greater than a preset fourth opening degree change threshold; or the change rate of the acceleration pedal opening degree is greater than or equal to 30% and less than or equal to 60%, and the duration is greater than a preset comfortable duration, the comfortable mode is confirmed as the recommended driving mode (not shown in the part of the figure).

[0088] In the economy mode, when it is detected that the target vehicle is in a congested road section, and the vehicle speed is less than 20 kph, and the number of times that the vehicle speed is reduced from more than 10 kph to less than 10 kph within 1 minute is more than 3 times, it is confirmed that the relaxed mode is the recommended driving mode. After switching to the relaxed mode, when it is detected that the target vehicle is in a non-congested road section, it is confirmed that the economy mode is the recommended driving mode.

[0089] In the sports mode, when it is detected that the rate of change of the accelerator pedal opening is greater than a preset fifth opening change threshold; or the rate of change of the accelerator pedal opening is greater than or equal to 30% and less than or equal to 60%, and the duration is greater than a preset comfort duration, it is confirmed that the comfort mode is the recommended driving mode.

[0090] In the mountain road mode, when it is detected that the slope signal is not reliable; or the slope is less than a preset slope threshold and the duration is greater than a preset comfort duration, it is confirmed that the comfort mode is the recommended driving mode.

[0091] In the mountain road mode, when the data of the vehicle meet the terrain conditions corresponding to the wet and slippery terrain, it is confirmed that the wet and slippery mode is the recommended driving mode.

[0092] In the wet and slippery mode, when the terrain conditions corresponding to the wet and slippery terrain are no longer met, it is confirmed that the comfort mode is the recommended driving mode.

[0093] In the wading mode, when the wading detection function is in an inactive state; or the vehicle speed is greater than or equal to 30 kph, and the wading depth is less than 2 cm, it is confirmed that the comfort mode is the recommended driving mode.

[0094] The above-mentioned confirmation methods of the recommended driving mode and the allocation of the mode priority are only examples, and those skilled in the art can also select other methods according to the needs of the actual application scene, and the present embodiment does not make specific limitations.

[0095] It can also be understood that the above-mentioned wading speed lower limit value, mountain road curvature threshold, mountain road mode duration, mountain road terrain vehicle speed, and each opening change threshold are calibration values, which can be pre-calibrated according to the actual vehicle conditions, such as vehicle weight, vehicle body structure, etc., and the present embodiment does not make specific limitations.

[0096] Figure 5 A data collection diagram of the present embodiment is shown in FIG. 1. Figure 5As shown, weather and map information can be collected through the vehicle network; graphic information about the vehicle's surroundings can be collected through the perception system, and radar data can be detected through the radar in the perception system; other vehicle sensors can collect chassis information such as slope, wheel speed, inertial measurement unit (IMU) measurement information, wading information, underwater detection information, and wheel status. Specifically, terrain and landforms are extracted from map information, surface information of objects around the vehicle is extracted from graphic information, road surface information is extracted from wheel speed and IMU measurement information, and motor status is extracted from wheel status. Based on the above information, terrain detection is performed to determine the recommended driving mode. Finally, the recommended driving mode, confirmed by the user, can be sent to the actuator node to control the vehicle to drive in the recommended driving mode.

[0097] Figure 6 This is a schematic diagram illustrating the interaction between various components of a vehicle according to this embodiment. Figure 6 As shown, the vehicle information system connects to the antenna module to send information such as current and future road curvature, predicted traffic speed, current and future road type, current and future road slope, GNSS (GPS position, altitude, vehSpd), and vehicle power supply map to the central domain control computer. The vehicle braking system control module sends wheel speed, slip state, vehicle speed, and gradient to the central domain control computer, while the central domain control computer sends Electronic Stability Control (ESC) settings information to the vehicle braking system control module. The steering control module sends steering angle and steering speed information to the central domain control computer. The central domain control computer sends steering assist level information to the steering control module.

[0098] The central domain control base computer sends torque (pedal diagram), energy regulation settings, engineered torque, torque limit, and differential diversity to the vehicle's left-side area controller. The vehicle's left-side area controller sends pedal position, pedal speed, and power torque (PtTq) to the central domain control base computer. Surface mount devices (SMD), symmetric multiprocessing systems (SMP), the left rear seat module (SMBL) in the automotive seating system, the left rear seat module (SMBR) in the automotive seating system, and the Zone Controller Tail (ZCT) send brake duty cycle (OccptPresStl) to the central domain control base computer. 。 The right-side area controller of the vehicle sends the estimated ambient temperature (AmbTEstimd) to the central domain control base computer.

[0099] The central domain control high-performance acceleration computer sends perception information (LiDAR) obstacle information, road recognition, road confidence level, water depth, ultrasonic radar working status, water depth detector status, and road signs to the central domain control basic computer.

[0100] The central domain control base computer sends the recommended driving mode and the prompt information to the central domain control user experience computer. The central domain control user experience computer sends the user-confirmed driving mode to the central domain control base computer.

[0101] The central domain control base computer sends the suspension height setting information, the active roll bar information and the setting information of the continuous damping control system to the space controller. The space controller sends the trailer connection information, the seat belt state information and the vehicle built-in camera information to the central domain control base computer. The central domain control base computer sends the alarm request to the associated alarm processing module. The airbag system sends the coordinate airbag trigger coordinates to the vehicle left area controller.

[0102] In the embodiment, a vehicle driving mode recommendation device is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be described again. The terms "module", "unit", "sub-unit" and the like used below can be a combination of software and / or hardware that can implement a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and is conceived.

[0103] Figure 7 is a structural block diagram of the vehicle driving mode recommendation device 70 of the embodiment, as Figure 7 shown, the vehicle driving mode recommendation device 70 comprises an acquisition module 72, an identification module 74 and a recommendation module 76; wherein:

[0104] The acquisition module 72 is configured to acquire the current environment information, the driving state information and the chassis information of the target vehicle. The identification module 74 is configured to identify the terrain where the target vehicle is located according to the current environment information, the driving state information and the chassis information, and obtain a terrain identification result. The recommendation module 76 is configured to determine the recommended driving mode of the target vehicle according to the terrain identification result.

[0105] It should be noted that each of the above modules can be a functional module or a program module, and can be implemented by software or hardware. For the module implemented by hardware, each of the above modules can be located in the same processor; or each of the above modules can also be located in different processors in any combination.

[0106] In the embodiment, a vehicle driving mode recommendation system is also provided. Figure 8 is a structural schematic diagram of the vehicle driving mode recommendation system 80 of the embodiment. As Figure 8As shown, the driving mode recommendation system 80 comprises: a data acquisition device 82 and a controller 84; the data acquisition device 82 is in communication connection with the controller 84; the data acquisition device 82 is configured to acquire the current environment information, driving state information and chassis information of the target vehicle; the controller 84 is configured to execute the vehicle driving mode recommendation method provided in the above-mentioned embodiments. The data acquisition device 82 can be the perception system, vehicle network and vehicle sensor in the above-mentioned embodiments; the controller 84 can be the central domain control.

[0107] In this embodiment, an electronic device is also provided, comprising a memory and a processor, the memory stores a computer program, and the processor is configured to execute the computer program to perform the steps in any of the above-mentioned method embodiments.

[0108] Optionally, the electronic device can further comprise a transmission device and an input / output device, wherein the transmission device is connected with the processor, and the input / output device is connected with the processor.

[0109] Optionally, in this embodiment, the processor can be configured to execute the following steps through the computer program:

[0110] S1, acquiring the current environment information, driving state information and chassis information of the target vehicle;

[0111] S2, identifying the terrain where the target vehicle is located according to the current environment information, driving state information and chassis information, to obtain a terrain identification result;

[0112] S3, determining the recommended driving mode of the target vehicle according to the terrain identification result.

[0113] It should be noted that the specific examples in this embodiment can refer to the examples described in the above-mentioned embodiments and optional implementation manners, which will not be described herein again.

[0114] In addition, in combination with the vehicle driving mode recommendation method provided in the above-mentioned embodiments, a storage medium can also be provided to realize in this embodiment. The storage medium stores a computer program; when the computer program is executed by the processor, any of the vehicle driving mode recommendation methods in the above-mentioned embodiments is realized.

[0115] It should be understood that the specific embodiments described herein are only used to explain this application, but not to limit it. According to the embodiments provided in this application, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of protection of this application.

[0116] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties.

[0117] Obviously, the drawings are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar situations without creative labor according to the drawings. In addition, it can be understood that although the work done in the development process may be complex and long, but for those skilled in the art, some design, manufacture or production changes according to the technical content disclosed in the present application are only routine technical means, and should not be regarded as insufficient disclosure of the present application.

[0118] The word "embodiment" in the present application means that the specific features, structures or characteristics described in combination with the embodiment can be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily mean the same embodiment, nor does it mean independence or alternatives to other embodiments. It can be clearly or implicitly understood by those skilled in the art that the embodiments described in the present application can be combined with other embodiments without conflict.

[0119] The above-described embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of patent protection. It should be noted that for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of protection of the present application. Therefore, the scope of protection of the present application should be subject to the appended claims.

Claims

1. A vehicle driving mode recommendation method characterized by comprising: The method comprises: obtaining current environment information, driving state information and chassis information of a target vehicle; identifying a terrain where the target vehicle is located according to the current environment information, the driving state information and the chassis information, to obtain a terrain identification result; determining a recommended driving mode of the target vehicle according to the terrain identification result; comprising: when the terrain identification result meets multiple preset terrain conditions, determining, from multiple driving modes, a driving mode corresponding to a terrain condition with the highest mode priority as the recommended driving mode of the target vehicle, based on mode priorities corresponding to various terrain conditions respectively.

2. The vehicle drive mode recommendation method according to claim 1, characterized by, The driving mode comprises one or more of a rock mode, a sand mode, a snow mode, a mud mode, a grass mode, a mountain road mode, a wading mode and a sports mode.

3. The vehicle drive mode recommendation method according to claim 1, characterized by, The method further comprises: outputting the recommended driving mode to a user; and 4. The vehicle drive mode recommendation method according to any one of claims 1 to 3, characterized by, in response to a confirmation operation of the user on the recommended driving mode, controlling the target vehicle to adjust to the recommended driving mode. The method comprises: an obtaining module, an identifying module and a recommending module; wherein:

5. A vehicle driving mode recommendation apparatus characterized by comprising: the obtaining module is configured to obtain current environment information, driving state information and chassis information of a target vehicle; the identifying module is configured to identify a terrain where the target vehicle is located according to the current environment information, the driving state information and the chassis information, to obtain a terrain identification result; the recommending module is configured to determine a recommended driving mode of the target vehicle according to the terrain identification result; comprising: when the terrain identification result meets multiple preset terrain conditions, determining, from multiple driving modes, a driving mode corresponding to a terrain condition with the highest mode priority as the recommended driving mode of the target vehicle, based on mode priorities corresponding to various terrain conditions respectively. The method comprises: a data acquisition device and a controller; wherein the data acquisition device is in communication connection with the controller; 6. A vehicle driving mode recommendation system characterized by comprising: the data acquisition device is configured to obtain current environment information, driving state information and chassis information of a target vehicle; the controller is configured to execute the vehicle driving mode recommendation method according to any one of claims 1 to 4. The memory stores a computer program, and the processor is configured to run the computer program to execute the vehicle driving mode recommendation method according to any one of claims 1 to 4. The computer program is executed by the processor to implement the steps of the vehicle driving mode recommendation method according to any one of claims 1 to 4. 7.An electronic device comprising a memory and a processor, the electronic device characterized by, ​ 8. A computer-readable storage medium having stored thereon a computer program, characterized in that, ​

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