Driving mode adjusting method, device and system based on vehicle-road cloud integration

Abstract

The invention provides a driving mode adjusting method, device and system based on vehicle-road cloud integration, and belongs to the technical field of automobiles. The adjusting method comprises the steps that a driving route of a vehicle is planned; sending the driving route to the cloud; obtaining a driving mode calculated by the cloud based on the road information of the driving route; and adjusting the vehicle according to the driving mode. In the invention, after the vehicle end sends the driving route to the cloud end, the cloud end can generate the driving mode required by the vehicle end based on the road information of the road end, and the vehicle end can adjust the vehicle state based on the driving mode, so that the vehicle runs along the driving route in the optimal state, and the driving comfort and safety can be ensured.

Description

Technical Field

[0001] This invention relates to the field of automotive technology, and in particular to a driving mode adjustment method, device, and system based on vehicle-road-cloud integration. Background Technology

[0002] Intelligent connected new energy vehicles allow users to set driving modes to match driving needs and road conditions, improving vehicle performance (comfort, power, safety, passability, handling, etc.). There are many driving mode settings, including power output, drive mode, regenerative braking, braking output, suspension height / damping, and steering feel. Currently, driving modes are switched by the user via the vehicle's infotainment screen, specific buttons / levers, or voice commands, with the timing of the switch relying on the user's subjective judgment. However, this adjustment mechanism has significant limitations: on the one hand, the user's subjective judgment is easily influenced by cognitive biases; on the other hand, limited by human perception, drivers cannot fully grasp real-time road conditions (such as road surface friction coefficient, slope curvature, etc.), which may cause the vehicle's performance tuning to deviate from its optimal state. Summary of the Invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art, and proposes a driving mode adjustment method, device and system based on vehicle-road-cloud integration.

[0004] In a first aspect, embodiments of the present invention provide a driving mode adjustment method based on vehicle-road-cloud integration, including:

[0005] Plan the vehicle's driving route;

[0006] Send the driving route to the cloud;

[0007] Obtain driving modes calculated from road information based on the driving route in the cloud;

[0008] Adjust the vehicle according to the driving mode.

[0009] Preferably, the driving mode includes: vehicle power response, vehicle drive mode, kinetic energy recovery mode, and suspension status.

[0010] Preferably, sending the driving route and vehicle information to the cloud includes periodically sending navigation information and vehicle information to the cloud.

[0011] Preferably, the step of obtaining the driving mode calculated based on road information of the driving route includes: periodically receiving driving modes sent from the cloud.

[0012] Secondly, embodiments of the present invention provide a driving mode adjustment device based on vehicle-road-cloud integration, configured to implement the above-mentioned adjustment method, including:

[0013] The settings module is used to plan vehicle routes;

[0014] The sending module is used to send the driving route to the cloud;

[0015] The receiving module is used to receive driving modes calculated by the cloud.

[0016] The adjustment module adjusts the vehicle based on the driving mode in the cloud.

[0017] Thirdly, embodiments of the present invention provide a driving mode adjustment system based on vehicle-road-cloud integration, including vehicle-side, road-side, and cloud-side components;

[0018] The vehicle terminal is used to send the driving route to the cloud;

[0019] The road end is used to send road information corresponding to the driving route to the cloud;

[0020] The cloud platform calculates the driving mode required by the vehicle based on the road information sent from the roadside.

[0021] Preferably, the road information includes weather conditions, road surface material, road surface unevenness, and road congestion level, and the cloud-based information includes:

[0022] Calculate the vehicle's driving mode based on weather conditions;

[0023] The vehicle's dynamic response is calculated based on the road surface material.

[0024] Calculate the suspension condition at the vehicle end based on the road surface unevenness;

[0025] The vehicle's kinetic energy recovery is calculated based on the level of road congestion.

[0026] Preferably, the road end includes at least one of: radar, camera, geomagnetic sensor, and meteorological sensor, and

[0027] The radar is used to scan the road surface, generate point cloud data, and calculate the road surface unevenness.

[0028] The camera is used to capture images of the road surface and identify areas with potholes, ice, and water accumulation.

[0029] The geomagnetic sensor is used to detect the presence and passage of vehicles;

[0030] The meteorological sensor is used to provide weather warnings.

[0031] Preferably, the vehicle-side components include: a powertrain domain controller, a body domain controller, a chassis domain controller, an audio / video domain controller, and an in-vehicle terminal.

[0032] Furthermore, the power domain controller periodically sends the power domain status signal and the chassis domain controller periodically sends the chassis domain status signal to the body domain controller, which then periodically forwards them to the vehicle terminal; the audio-visual domain controller periodically sends the planned driving route to the vehicle terminal.

[0033] The vehicle-mounted terminal will periodically send the received information to the cloud.

[0034] Fourthly, embodiments of the present invention provide an electronic device, comprising:

[0035] One or more processors;

[0036] Memory, used to store one or more programs;

[0037] When the one or more programs are executed by the one or more processors, the one or more processors implement the above control method.

[0038] The adjustment method provided by this invention sends the vehicle's driving route to the cloud. The cloud can calculate the required driving mode for the vehicle based on the road information corresponding to the driving route. The vehicle can then be adjusted according to the driving mode provided by the cloud to ensure that the vehicle is in the optimal state of the current driving environment, thereby ensuring driving comfort and safety. Attached Figure Description

[0039] Figure 1 A flowchart illustrating the driving mode adjustment method based on vehicle-road-cloud integration provided in an embodiment of the present invention;

[0040] Figure 2 A schematic diagram of the communication architecture of a vehicle-road-cloud integrated driving mode adjustment system provided in an embodiment of the present invention;

[0041] Figure 3 A diagram showing the correspondence between road information and driving modes in a vehicle-road-cloud integrated driving mode adjustment system provided in an embodiment of the present invention;

[0042] Figure 4 A structural block diagram of a vehicle-road-cloud integrated driving mode adjustment device provided in an embodiment of the present invention;

[0043] Figure 5 This is a structural block diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0044] To enable those skilled in the art to better understand the technical solutions of the present invention, exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present invention. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0045] Where there is no conflict, the various embodiments of the present invention and the features thereof may be combined with each other.

[0046] As used herein, the term “and / or” includes any and all combinations of one or more related enumerated entries.

[0047] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein, the singular forms “a” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that when the terms “comprising” and / or “made of” are used in this specification, the presence of the stated feature, integral, step, operation, element, and / or component is specified, but the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof is not excluded. Terms such as “connected” or “linked” are not limited to physical or mechanical connections but can include electrical connections, whether direct or indirect.

[0048] Unless otherwise specified, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art. It will also be understood that terms such as those defined in commonly used dictionaries should be interpreted as having the meaning consistent with their meaning in the context of the relevant art and the invention, and will not be interpreted as having an idealized or overly formal meaning unless expressly so defined herein.

[0049] In the technical solution of this invention, the collection, storage, use, processing, transmission, provision, and disclosure of user personal information all comply with relevant laws and regulations and do not violate public order and good morals. The use of user data in this technical solution follows relevant national laws and regulations (e.g., the "Information Security Technology - Personal Information Security Specification"). For example: appropriate measures are taken for personal information access control; restrictions are imposed on the display of personal information; the purpose of using personal information does not exceed the scope of direct or reasonable association; and explicit identity targeting is eliminated when using personal information to avoid precisely locating a specific individual.

[0050] Explanation of relevant keywords:

[0051] OBU (On-Board Unit): A vehicle-mounted terminal installed on a vehicle for communication with roadside and cloud services.

[0052] RSU (Road Side Unit): A logical service unit installed on the roadside, responsible for communicating with onboard units and roadside traffic control equipment.

[0053] VIU: Vehicle Body Domain Controller;

[0054] IVI: Audio-Visual Domain Controller;

[0055] PDCU: Power Domain Controller;

[0056] CDC: Chassis Domain Controller.

[0057] See Figure 1 and Figure 2 This invention provides a driving mode adjustment method based on vehicle-road-cloud integration, comprising:

[0058] S1. Plan the vehicle's driving route.

[0059] The vehicle driver usually sets the driving route himself, for example, by setting the navigation route directly on the vehicle before driving. When the vehicle is put into D gear (drive gear), the vehicle can drive according to the navigation route.

[0060] S2. Send the driving route to the cloud.

[0061] Once a driving route is planned, the vehicle sends the route (navigation information) to the cloud. In a preferred embodiment, after the driving route is planned, the next driving route (the route not yet traveled in the previously set driving route) can be sent to the cloud according to a time or mileage cycle. The time cycle means sending the driving route to the cloud at preset time intervals, such as 10 minutes per interval, meaning the driving route is sent to the cloud once every 10 minutes. The mileage cycle means sending the driving route to the cloud at preset mileage intervals, such as 3km per mileage interval, meaning the driving route is sent to the cloud once every 3km traveled.

[0062] In addition, when a vehicle sends navigation information to the cloud, it can also send vehicle information to the cloud. This vehicle information mainly includes the vehicle's current driving mode, which includes vehicle power response, vehicle drive mode, kinetic energy recovery mode, and suspension status. Vehicle power response has three types: economy, comfort, and sport. Vehicle drive mode has three types: front-wheel drive, rear-wheel drive, and four-wheel drive (depending on the vehicle's drive type). Kinetic energy recovery mode has three levels: low, medium, and high. Suspension status includes suspension height and suspension damping. Suspension height can have three levels: low, medium, and high (other height adjustment options are also possible), and suspension damping has three levels: comfort, standard, and sport.

[0063] S3. Obtain driving modes calculated from cloud-based road information based on the driving route.

[0064] Once the cloud has planned a driving mode for the vehicle, it sends that driving mode to the vehicle. The so-called road information includes weather conditions, road surface material, road surface unevenness, and road congestion level, and this road information corresponds to the aforementioned driving route. Based on this road information, the cloud calculates the required driving mode for the vehicle and sends that driving mode to the vehicle.

[0065] The vehicle also receives driving mode information from the cloud periodically, and this periodicity is the same as the period at which the vehicle sends the driving route to the cloud. In another periodicity method, the period can be determined based on changes in road information along the driving route, or on the interval between obtaining road information; in this case, the period at which the vehicle sends the route to the cloud is also determined in this way.

[0066] S4. Adjust the vehicle according to the driving mode.

[0067] After receiving the driving mode sent from the cloud, the vehicle adjusts itself according to that driving mode, and the adjustment is performed in the aforementioned cycle.

[0068] In this invention, the vehicle's driving mode is adjusted based on road information of the driving route, which can realize vehicle-road-cloud, that is, the vehicle's state can be adjusted to the optimal according to different driving environments, thereby ensuring driving comfort and safety.

[0069] See Figure 4 Based on the same inventive concept, embodiments of the present invention also provide a driving mode adjustment device based on vehicle-road-cloud integration, corresponding to the above-described control method, and capable of implementing the above-described control method, including:

[0070] The settings module is used to plan vehicle routes;

[0071] The sending module is used to send the driving route to the cloud;

[0072] The receiving module is used to receive driving modes calculated by the cloud.

[0073] The adjustment module adjusts the vehicle based on the driving mode in the cloud.

[0074] In this embodiment, the setting module, sending module, receiving module, and adjustment module are all located on the vehicle side; that is, the adjustment device corresponds to the vehicle side. The sending module and receiving module can be the same module, such as a data transmission module, which can use 4G / 5G protocols to achieve information interaction with the cloud. The setting module can correspond to the navigation information settings on the vehicle side. After the driver sets the navigation information, the navigation information is transmitted from the setting module to the sending module, and then from the sending module to the cloud. The cloud transmits the driving mode calculated based on road information to the receiving module, which then transmits it to the adjustment module. The adjustment module then adjusts the vehicle's current driving mode according to the driving mode calculated by the cloud, and the vehicle continues to drive in the adjusted driving mode.

[0075] Based on the same inventive concept, embodiments of the present invention also provide a driving mode adjustment system based on vehicle-road-cloud integration, corresponding to the adjustment device and adjustment method described above.

[0076] The adjustment device and adjustment method are mainly for the vehicle end, while the adjustment system provided in this embodiment includes the vehicle end, the road end, and the cloud.

[0077] See Figure 2 In this embodiment, both the vehicle and roadside interact with the cloud, thus forming a vehicle-road-cloud integrated system. The vehicle is the setting and execution side, where driving routes can be set and transmitted to the cloud. The roadside is the monitoring side, continuously monitoring road information corresponding to the driving route and transmitting it to the cloud. The cloud is the computing side, receiving information from both the vehicle and roadside, planning the driving mode for the vehicle along the corresponding driving route, and transmitting this plan back to the vehicle. The vehicle can then make corresponding adjustments based on this driving mode.

[0078] The road information at the roadside mainly includes weather conditions, road surface material, road surface unevenness, and road congestion level. Weather conditions include sunny, rainy, and snowy days. Road surface material includes high-adhesion and low-adhesion road surfaces. Road surface unevenness includes smooth and potholes. Road congestion level includes smooth and congested.

[0079] The roadside equipment can be equipped with radar, cameras, geomagnetic sensors, and meteorological sensors. The radar can be lidar / millimeter-wave radar, which scans the road surface, generates point cloud data, and calculates road unevenness. Cameras capture images of the road surface, identifying potholes, icy areas, and water accumulation. Geomagnetic sensors detect vehicle presence and passage, determining the level of road congestion. Meteorological sensors detect temperature, humidity, wind speed, rainfall, and snowfall, providing weather warnings. The radar, cameras, geomagnetic sensors, and meteorological sensors can be strategically placed based on actual road conditions. For example, radar is typically placed in areas with relatively large road unevenness, while cameras are placed in areas prone to potholes, icing, or water accumulation.

[0080] The vehicle's driving modes include vehicle power response, vehicle drive mode, kinetic energy recovery mode, and suspension status. Vehicle power response offers three types: Eco, Comfort, and Sport. Vehicle drive mode offers three options: front-wheel drive, rear-wheel drive, and four-wheel drive (depending on the vehicle's drive type). Kinetic energy recovery mode offers three levels: Low, Medium, and High. Suspension status includes suspension height and suspension damping. Suspension height can be set to Low, Medium, and High (or other height adjustment options are also available). Suspension damping offers three levels: Comfort, Standard, and Sport.

[0081] The driving mode of cloud computing is based on the driving mode of the vehicle. Therefore, the information sent from the vehicle to the cloud should include the current driving mode of the vehicle. Then, the cloud can transmit the appropriate driving mode to the vehicle based on the road information provided by the roadside.

[0082] See Figure 3 Specifically, the vehicle's driving mode is calculated based on weather conditions;

[0083] The vehicle's dynamic response is calculated based on the road surface material.

[0084] Calculate the suspension condition at the vehicle end based on the road surface unevenness;

[0085] The vehicle's kinetic energy recovery is calculated based on the level of road congestion.

[0086] Specifically, when the driving section is detected to be in rain or snow, the drive mode is adjusted to four-wheel drive to prevent vehicle slippage and ensure driving safety; when the road surface material is detected to be high-friction, the power response can be switched to sport to ensure vehicle power; when the road surface material is detected to be low-friction, the power response can be switched to economy to prevent vehicle slippage; when high road unevenness or potholes are detected, the suspension height and suspension damping are increased to ensure vehicle passability and ride comfort; when the road congestion is high, kinetic energy recovery can be increased to improve vehicle range.

[0087] In this embodiment of the invention, the vehicle-side includes: a power domain controller, a body domain controller, a chassis domain controller, an audio-visual domain controller, and an in-vehicle terminal.

[0088] The power domain controller periodically sends power domain status signals and the chassis domain controller periodically sends chassis domain status signals to the body domain controller, which then periodically forwards them to the vehicle terminal. The audio-visual domain controller periodically sends the planned driving route to the vehicle terminal. The vehicle terminal periodically sends the received information to the cloud.

[0089] Specifically, the vehicle terminal obtains the current driving mode status and the driving route set by the driver from the audio-visual domain controller and the body domain controller via the vehicle Ethernet / CAN bus; the vehicle terminal uploads vehicle information to the cloud control platform via the UU interface and based on the 4G / 5G protocol; the cloud obtains road information collected by the roadside along the driving route via the MQTT / HTTPS protocol; the cloud sends driving mode information to the vehicle terminal via the 4G / 5G protocol according to logical judgment; the vehicle terminal forwards the information from the cloud to the body domain controller via the vehicle Ethernet / CAN, and the body domain controller can then send it to the corresponding execution components of the driving mode, thereby adjusting the current driving mode of the vehicle to the driving mode calculated by the cloud, thus realizing the switching of driving modes.

[0090] In a specific embodiment, 1) after the driver sets the navigation route on the vehicle, the vehicle is put into Drive (D) mode; 2) after the vehicle terminal obtains the current driving mode status and navigation information, it uploads it to the cloud control platform; 3) the cloud obtains the road information from the navigation information, such as a highway on a sunny day with low road unevenness, dry road surface, low congestion, and no traffic accidents; 4) the cloud judges based on the above information and sends control commands to the vehicle terminal; 5) the vehicle is set to drive mode with low suspension height, suspension damping motion, vehicle power response motion, and four-wheel drive mode.

[0091] Based on the same inventive concept, embodiments of the present invention also provide an electronic device. Figure 5 This is a structural block diagram of an electronic device provided in an embodiment of the present invention. Figure 5 As shown, an embodiment of the present invention provides an electronic device including: one or more processors 101, a memory 102, and one or more I / O interfaces 103. The memory 102 stores one or more programs, which, when executed by the one or more processors, cause the one or more processors to implement any of the adjustment methods described in the above embodiments; the one or more I / O interfaces 103 are connected between the processor and the memory, configured to enable information interaction between the processor and the memory.

[0092] The processor 101 is a device with data processing capabilities, including but not limited to a central processing unit (CPU); the memory 102 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), and flash memory (FLASH); the I / O interface (read / write interface) 103 is connected between the processor 101 and the memory 102, and can realize information interaction between the processor 101 and the memory 102, including but not limited to a data bus (Bus).

[0093] In some embodiments, the processor 101, memory 102, and I / O interface 103 are interconnected via bus 104, and thus connected to other components of the computing device.

[0094] In some embodiments, the one or more processors 101 include a field-programmable gate array.

[0095] This invention also provides a computer-readable medium. The computer-readable medium stores a computer program, which, when executed by a processor, implements the steps of any of the adjustment methods described in the above embodiments. The computer-readable storage medium may be volatile or non-volatile.

[0096] This invention also provides a computer program product, including computer-readable code, or a non-volatile computer-readable storage medium carrying computer-readable code. When the computer-readable code is run in the processor of an electronic device, the processor in the electronic device executes the above-described adjustment method.

[0097] Those skilled in the art will understand that all or some of the steps, systems, and apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software can be distributed on a computer-readable storage medium, which may include computer storage media (or non-transitory media) and communication media (or transient media).

[0098] As is known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information, such as computer-readable program instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), static random access memory (SRAM), flash memory or other memory technologies, portable compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, it is known to those skilled in the art that communication media typically contain computer-readable program instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0099] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0100] The computer program instructions used to perform the operations of this invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing state information from the computer-readable program instructions. This electronic circuitry can execute the computer-readable program instructions to implement various aspects of the invention.

[0101] The computer program product described herein can be implemented specifically through hardware, software, or a combination thereof. In one alternative embodiment, the computer program product is specifically embodied in a computer storage medium; in another alternative embodiment, the computer program product is specifically embodied in a software product, such as a software development kit (SDK), etc.

[0102] Various aspects of the present invention are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0103] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that, when executed by the processor of the computer or other programmable data processing apparatus, they create means for implementing the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, programmable data processing apparatus, and / or other device to operate in a particular manner; thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0104] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to perform the functions / actions specified in one or more boxes of a flowchart and / or block diagram.

[0105] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction, which contains one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0106] Example embodiments have been disclosed herein, and while specific terminology has been used, it is for illustrative purposes only and should be construed as such, and is not intended to be limiting. In some instances, it will be apparent to those skilled in the art that features, characteristics, and / or elements described in conjunction with particular embodiments may be used alone, or in combination with features, characteristics, and / or elements described in conjunction with other embodiments, unless otherwise expressly indicated. Therefore, those skilled in the art will understand that various changes in form and detail may be made without departing from the scope of the invention as set forth in the appended claims.

Claims

1. A driving mode adjustment method based on vehicle-road-cloud integration, characterized in that, include: Plan the vehicle's driving route; Send the driving route to the cloud; Obtain driving modes calculated from road information based on the driving route in the cloud; Adjust the vehicle according to the driving mode.

2. The driving mode adjustment method based on vehicle-road-cloud integration according to claim 1, characterized in that, The driving modes include: vehicle power response, vehicle drive mode, kinetic energy recovery mode, and suspension status.

3. The driving mode adjustment method based on vehicle-road-cloud integration according to claim 2, characterized in that, Sending driving routes and vehicle information to the cloud includes periodically sending navigation information and vehicle information to the cloud.

4. The driving mode adjustment method based on vehicle-road-cloud integration according to claim 1, characterized in that, The process of obtaining driving modes calculated based on road information of the driving route includes: periodically receiving driving modes sent from the cloud.

5. A driving mode adjustment device based on vehicle-road-cloud integration, characterized in that, The configuration is configured to implement the adjustment method as described in any one of claims 1-4, comprising: The settings module is used to plan vehicle routes; The sending module is used to send the driving route to the cloud; The receiving module is used to receive driving modes calculated by the cloud. The adjustment module adjusts the vehicle based on the driving mode in the cloud.

6. A driving mode adjustment system based on vehicle-road-cloud integration, characterized in that, This includes the vehicle-side, road-side, and cloud-side components; The vehicle terminal is used to send the driving route to the cloud; The road end is used to send road information corresponding to the driving route to the cloud; The cloud platform calculates the driving mode required by the vehicle based on the road information sent from the roadside.

7. The driving mode adjustment system based on vehicle-road-cloud integration according to claim 6, characterized in that, The road information includes weather conditions, road surface material, road surface unevenness, and road congestion level, and the cloud-based information includes: Calculate the vehicle's driving mode based on weather conditions; The vehicle's dynamic response is calculated based on the road surface material. Calculate the suspension condition at the vehicle end based on the road surface unevenness; The vehicle's kinetic energy recovery is calculated based on the level of road congestion.

8. The driving mode adjustment system based on vehicle-road-cloud integration according to claim 6, characterized in that, The road end includes at least one of the following: radar, camera, geomagnetic sensor, and meteorological sensor. The radar is used to scan the road surface, generate point cloud data, and calculate the road surface unevenness. The camera is used to capture images of the road surface and identify areas with potholes, ice, and water accumulation. The geomagnetic sensor is used to detect the presence and passage of vehicles; The meteorological sensor is used to provide weather warnings.

9. The driving mode adjustment system based on vehicle-road-cloud integration according to claim 6, characterized in that, The vehicle-side components include: a powertrain domain controller, a body domain controller, a chassis domain controller, an audio / video domain controller, and an in-vehicle terminal. Furthermore, the power domain controller periodically sends the power domain status signal and the chassis domain controller periodically sends the chassis domain status signal to the body domain controller, which then periodically forwards them to the vehicle terminal; the audio-visual domain controller periodically sends the planned driving route to the vehicle terminal. The vehicle-mounted terminal will periodically send the received information to the cloud.

10. An electronic device, characterized in that, include: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of claims 1 to 4.

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