CN118107330A - Active suspension control method and system - Google Patents
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Abstract
The invention provides an active suspension control method and system for a vehicle, wherein the method comprises the following steps: determining a driving route of the vehicle according to the user request; acquiring an optimal suspension parameter for each travel section of the travel route based on vehicle information of the vehicle, wherein the optimal suspension parameter for each travel section is obtained based on processing vehicle interior data and vehicle exterior data for suspension parameter adjustment acquired on the travel section; and performing corresponding suspension control on the corresponding driving road section according to the acquired optimal suspension parameter of each driving road section.
Description
Technical Field
The present invention relates to the field of autopilot, and more particularly to an active suspension control method and system.
Background
At present, with the development of intelligent driving technology, in order to consider the steering stability, smoothness and passing performance of an automobile, an active suspension system is generally adopted, and the active suspension can adjust its parameters when the bearing quality changes or the road condition changes, so that the ground clearance of the automobile body, the damping of a shock absorber and the like are kept at reasonable values, thereby reducing the fluctuation of the wheel load, providing the adhesion performance, improving the steering performance and simultaneously reducing the abrasion of tires.
However, current active suspension systems require that the road conditions be first sensed with a variety of onboard sensors and suspension parameters adjusted in response to the sensing of road conditions, which requires that the vehicle first come into contact with road features (e.g., potholes) and begin tuning the suspension parameters after sensing road features such as rough road surfaces, which in fact does not provide a seamless comfortable driving experience to the user because the vehicle is not in an optimal tuning state during tuning parameters, which may be experienced by the user as a poor experience of jolting, etc.
Accordingly, to provide a seamless, comfortable driving experience for a user with an active suspension system, further improving the stability and maneuverability of the vehicle, it is desirable to be able to provide an active suspension control method and system for the vehicle.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
According to a first aspect of the present invention, there is provided an active suspension control method for a vehicle, the method comprising: determining a driving route of the vehicle according to a user request; acquiring an optimal suspension parameter for each travel section of the travel route according to vehicle information of the vehicle, wherein the optimal suspension parameter for each travel section is obtained based on processing vehicle interior data and vehicle exterior data acquired on the travel section for suspension parameter adjustment; and performing corresponding suspension control on the corresponding driving road section according to the acquired optimal suspension parameter of each driving road section.
In the technical scheme of the embodiment of the invention, the optimal suspension parameters for each road section are found by collecting and processing the vehicle data (namely, the vehicle interior data including, for example, the type of the vehicle, the tire pressure, the vehicle speed and the like) and the road environment data (namely, the vehicle exterior data including, for example, the road surface condition, the obstacle and the like) of each road section for suspension parameter adjustment, and when a user plans a route, the optimal suspension parameters for each road section on the route are directly downloaded from the cloud based on the vehicle condition, and corresponding suspension control is carried out on each road section based on the optimal suspension parameters, so that the problem of instability caused by the fact that the existing system needs to sense the road surface condition before reacting to the road surface condition is solved, the stability and the maneuverability of the vehicle are further improved, and the driving experience of the user is further improved.
According to an embodiment of the present invention, acquiring optimal suspension parameters for each travel section of the travel route according to vehicle information of the vehicle further includes: an optimal suspension parameter for each travel segment of the travel route is obtained as a function of a vehicle type of the vehicle and a tire condition, wherein the tire condition includes one or more of a tire type, a tire pressure, or a tire wear.
According to a further embodiment of the invention, the vehicle interior data comprises a vehicle type, a vehicle weight, a vehicle speed, a tire type, a tire wear, a tire pressure or any other relevant data collected with an onboard sensor.
According to a further embodiment of the invention, the vehicle exterior data comprises environment-aware data about the vehicle surroundings, the environment-aware data comprising one or more of road conditions, weather conditions, obstacles.
According to a further embodiment of the invention, the optimal suspension parameter is a full-speed domain suspension parameter.
According to a further embodiment of the present invention, performing respective suspension control on the respective travel section according to the acquired optimal suspension parameter for each travel section further includes: determining suspension parameters corresponding to the speed of the vehicle on the corresponding driving road section according to the acquired full-speed-domain suspension parameters of the corresponding driving road section; and performing corresponding suspension control on the corresponding driving road section according to the determined suspension parameters.
According to a further embodiment of the invention, the suspension parameters comprise parameters for adjusting one or more of suspension travel, suspension height, suspension damping force or suspension stiffness of the vehicle.
According to a further embodiment of the invention, the method further comprises: when the vehicle detects that the current suspension control is not optimal, vehicle interior data and vehicle exterior data of the vehicle for suspension parameter adjustment associated with the current position of the vehicle are uploaded to a server for further processing.
According to a further embodiment of the invention, the vehicle interior data and the vehicle exterior data for suspension parameter adjustment are collected and updated periodically on each travel section.
According to a second aspect of the present invention there is provided an active suspension control system for a vehicle, the system comprising: a route determination module configured to determine a travel route of the vehicle according to a user request; a parameter acquisition module configured to acquire an optimal suspension parameter for each travel section of the travel route from vehicle information of the vehicle, wherein the optimal suspension parameter for each travel section is obtained based on processing vehicle interior data and vehicle exterior data for suspension parameter adjustment acquired on the travel section; and a suspension control module configured to perform respective suspension control on the respective travel section according to the acquired optimal suspension parameter for each travel section.
According to the technical scheme, the vehicle interior data and the vehicle exterior data from the vehicles on all the driving road sections can be received, processed and updated at the server side (cloud side) by utilizing the vehicle road cloud cooperation technology, so that the same or different vehicles can directly download the optimal suspension parameters for the driving road sections from the server side before driving through all the driving road sections, a driver can feel seamless comfortable driving experience, and the stability and the operability of the vehicles are further improved.
According to one embodiment of the invention, the parameter acquisition module is further configured to: an optimal suspension parameter for each travel segment of the travel route is obtained as a function of a vehicle type of the vehicle and a tire condition, wherein the tire condition includes one or more of a tire type, a tire pressure, or a tire wear.
According to a further embodiment of the invention, the vehicle interior data comprises a vehicle type, a vehicle weight, a vehicle speed, a tire type, a tire wear, a tire pressure or any other relevant data collected with an onboard sensor.
According to a further embodiment of the invention, the vehicle exterior data comprises environment-aware data about the vehicle surroundings, the environment-aware data comprising one or more of road conditions, weather conditions, obstacles.
According to a third aspect of the present invention, there is provided a vehicle having an active suspension control function, the vehicle comprising: a sensor system configured to acquire vehicle interior data and vehicle exterior data for suspension parameter adjustment; a communication system configured to communicate with a server to acquire optimal suspension parameters for each travel section and upload vehicle interior data and vehicle exterior data for suspension parameter adjustment; and an active suspension control system according to any one of claims 10-13.
According to a fourth aspect of the present invention there is provided a computer readable storage medium storing instructions that when executed cause a machine to perform the method of any of the preceding aspects.
These and other features and advantages will become apparent upon reading the following detailed description and upon reference to the associated drawings. It is to be understood that both the foregoing general description and the following detailed description are explanatory only and are not restrictive of aspects as claimed.
Drawings
So that the manner in which the above recited features of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings. It is to be noted, however, that the appended drawings illustrate only certain typical aspects of this invention and are therefore not to be considered limiting of its scope, for the description may admit to other equally effective aspects.
FIG. 1 illustrates a schematic architecture of an active suspension control system for a vehicle according to one embodiment of the present invention.
FIG. 2 shows a schematic diagram of a data collection process for active suspension control of a vehicle according to one embodiment of the invention.
FIG. 3 shows a schematic diagram of a data application process for active suspension control of a vehicle according to one embodiment of the invention.
Fig. 4 shows a schematic flow chart of an active suspension control method for a vehicle according to one embodiment of the invention.
FIG. 5 illustrates an exemplary vehicle supporting active suspension control according to one embodiment of the invention.
FIG. 6 illustrates an architectural diagram of an active suspension control system according to one embodiment of the present invention.
Detailed Description
The features of the present invention will become more apparent from the detailed description set forth below when taken in conjunction with the drawings. The term "vehicle" as used throughout the specification refers to any type of automobile, including but not limited to cars, vans, trucks, buses, and the like. For simplicity, the invention is described with respect to "automobiles". The term "a or B" as used in the specification means "a and B" and "a or B", and does not mean that a and B are exclusive unless otherwise indicated.
FIG. 1 is a schematic architecture diagram of an active suspension control system 100 for a vehicle according to one embodiment of the invention. As shown in fig. 1, the active suspension control system 100 may include at least a route determination module 101, a parameter acquisition module 102, and a suspension control module 103.
The route determination module 101 may determine the travel route of the vehicle based on a user request, where the user request may include a route start point and a route end point. In one embodiment, the route determination module 101 may be implemented as a car navigation system that may provide different travel route options for different user preferences.
The parameter acquisition module 102 may acquire an optimal suspension parameter for each travel section of the travel route from vehicle information of the vehicle, wherein the optimal suspension parameter for each travel section is obtained based on processing vehicle interior data and vehicle exterior data acquired on the travel section for suspension parameter adjustment. In one embodiment, further, the parameter acquisition module 102 may acquire the optimal suspension parameters for each travel segment of the travel route based on the vehicle type of the vehicle and tire conditions, including one or more of tire type, tire pressure, or tire wear. In one embodiment, the vehicle interior data collected over each travel segment may include vehicle type, vehicle weight, vehicle speed, tire type, tire wear, tire pressure, or any other relevant data collected using various onboard sensors for suspension parameter adjustment. In one embodiment, the vehicle exterior data may include environmental awareness data regarding the vehicle surroundings, wherein the environmental awareness data may include one or more of road surface conditions, weather conditions, obstructions. In a preferred embodiment, the optimal suspension parameter is a full-speed domain suspension parameter. In a further embodiment, performing respective suspension control on the respective travel section according to the acquired optimal suspension parameter for each travel section further comprises determining a suspension parameter corresponding to a vehicle speed of the vehicle on the respective travel section according to the acquired full speed domain suspension parameter for the respective travel section, and performing respective suspension control on the respective travel section according to the determined suspension parameter. In one embodiment, the suspension parameters may include parameters for adjusting one or more of suspension travel, suspension height, suspension damping force, or suspension stiffness of the vehicle. In one embodiment, the vehicle interior data and the vehicle exterior data for suspension parameter adjustment are collected and updated periodically on each travel section, whereby the optimal suspension parameters for each travel section can also be updated as needed (e.g., due to changes in road surface conditions, etc.).
The suspension control module 103 may perform respective suspension control on the respective travel section according to the acquired optimal suspension parameter for each travel section. In one embodiment, when the vehicle detects that the current suspension control is not optimal, vehicle interior data and vehicle exterior data of the vehicle for suspension parameter adjustment associated with the current location of the vehicle (i.e., the current travel segment of the vehicle) may be uploaded to a server for further processing.
Therefore, the optimal suspension parameters for each road section can be obtained by collecting and processing the vehicle internal data and the vehicle external data of each road section for suspension parameter tuning, and when a user plans a route, the processed optimal suspension parameters for each road section are directly downloaded from the cloud based on the vehicle condition, and corresponding suspension control is performed on each road section based on the optimal suspension parameters, so that the problem that the existing system is not stable enough because the user needs to first perceive the road surface condition and then react to the road surface condition is solved, the stability and the maneuverability of the vehicle are further improved, and the comfortable driving experience of the user is further improved.
Those skilled in the art will appreciate that the active suspension control system of the present invention may be implemented in either hardware or software, and that the modules may be combined or combined in any suitable manner.
FIG. 2 shows a schematic diagram of a data collection process 200 for active suspension control of a vehicle, according to one embodiment of the invention.
As shown in fig. 2, in the data collection process 200, vehicle interior data and vehicle exterior data may be collected in real time via various in-vehicle sensors of the vehicle on each travel section. In one embodiment, the various onboard sensors may include, for example, inertial sensors (e.g., inertial measurement units IMUs), wheel speed sensors, steering wheel angle sensors, steering torque sensors, tire pressure sensors, brake pressure sensors, sensors for assisting in vehicle positioning and navigation (e.g., global Positioning System (GPS)), millimeter wave radar, lidar, ultrasonic radar, vision sensors, altitude sensors, and the like.
Vehicle interior data may refer herein to any input provided by onboard sensors or the like that relates to the condition of the vehicle itself. In one embodiment, the vehicle interior data may include vehicle type, vehicle weight, vehicle speed, vehicle acceleration (e.g., lateral or longitudinal acceleration), steering wheel angle, vehicle pitch, roll or yaw information received from the IMU, tire type, tire wear, tire pressure, or any other relevant data collected with onboard sensors for suspension parameter adjustment.
Vehicle external data may refer herein to any input provided by on-board sensors or the like that is related to the vehicle external environment. In one embodiment, the vehicle exterior data may include environmental awareness data about the vehicle surroundings acquired by, for example, millimeter wave radar, lidar, ultrasonic radar, vision sensors, etc. mounted on the vehicle, wherein the environmental awareness data may include, for example, one or more of road surface conditions, weather conditions, and obstacles. The vision sensor is capable of detecting road traffic participant type (e.g., pedestrian, vehicle, etc.) information, but is greatly affected by weather, illumination intensity. The millimeter wave radar can accurately detect the position, speed and other information of the target and cannot receive interference of weather conditions, but is easy to miss stationary targets, and the detected targets have more noise. The laser radar has good characteristics of monochromaticity, good coherence, strong directivity, high light speed flight and the like, and is little influenced by the environment, so that the problem of large influence by the environment in a scheme based on a vision sensor and a millimeter wave radar can be effectively solved. In some cases, the lidar may include single-line lidar and multi-line lidar. The point cloud data may include distance information, reflection intensity information, and deflection angle fed back by a beam of laser points reaching the reflection point, so that a distance from the reflection point to the center of the laser radar, an angle on a vertical plane, and an angle on a horizontal plane can be obtained, and thus, by analyzing the point cloud data received through the laser radar, a three-dimensional point cloud image can be reconstructed. Thus, by fusing the data of the various sensors, the advantages of the different sensors can be combined to obtain more accurate environmental awareness data (e.g., road surface conditions) for further processing.
In another embodiment, the external data of the vehicle can be obtained by road side infrastructures on each driving road section and remotely transmitted to a server side or a cloud end, so that the information exchange and instruction control between the vehicle and the road and the cloud can be realized according to the agreed communication protocol and data interaction standard through the V2X vehicle road cooperation technology. At the server side or cloud, the collected vehicle interior data and vehicle exterior data on each travel segment may be processed and calculated based on artificial intelligence or other data science methods to obtain optimal suspension parameters for suspension control for each travel segment. In a preferred embodiment, the optimal suspension parameters may include full speed domain suspension parameters for various vehicle models. In a preferred embodiment, the vehicle interior data and the vehicle exterior data for suspension parameter adjustment are periodically acquired and updated over each driving section.
Thus, the optimal suspension parameters for each travel section are obtained for the subsequent vehicle control operation by collecting vehicle interior data (e.g., vehicle speed, tire pressure, etc.) and vehicle exterior data (e.g., road surface condition, etc.) acquired in real time by the in-vehicle sensors from the vehicles traveling on each travel section, and further processing and calculating these data. Of course, it will be appreciated that data for suspension parameter adjustment may also be collected from the vehicle end or road segment in a manner known to those skilled in the art.
FIG. 3 illustrates a schematic diagram of a data application process 300 for active suspension control of a vehicle, according to one embodiment of the invention.
As shown in fig. 3, in the data application process 300, the vehicle may acquire (e.g., download from the cloud or server side) optimal suspension parameters of each travel section of a travel route based on vehicle information (e.g., vehicle type, etc.) after determining the travel route, and perform corresponding suspension control on the corresponding travel section based on the acquired optimal suspension parameters of each travel section. In one embodiment, the optimal suspension parameters obtained may be full-speed domain suspension parameters. In the above case, the suspension parameter corresponding to the vehicle speed of the vehicle on the corresponding travel section may be determined from the acquired full-speed-range suspension parameter of the corresponding travel section, and the corresponding suspension control may be performed on the corresponding travel section according to the determined suspension parameter. In one embodiment, the suspension parameters may include parameters for adjusting one or more of suspension travel, suspension height, suspension damping force, or suspension stiffness of the vehicle. In a preferred embodiment, when the vehicle detects that the current suspension control is not optimal, vehicle interior data and vehicle exterior data of the vehicle for suspension parameter adjustment associated with the current position of the vehicle may be uploaded to a server or cloud for further processing.
Therefore, the problem that the existing system needs to sense road conditions before reacting to the road conditions is not stable enough can be solved by directly downloading the processed optimal suspension parameters for each driving road section when planning a route, so that a user obtains more comfortable driving experience.
Fig. 4 shows a schematic flow chart of an active suspension control method 400 for a vehicle according to one embodiment of the invention. The method 400 begins at step 401, where the route determination module 101 may determine a travel route of a vehicle based on a user request.
In step 402, the parameter acquisition module 102 may acquire an optimal suspension parameter for each travel section of the travel route based on the vehicle information of the vehicle, wherein the optimal suspension parameter for each travel section is obtained based on processing the vehicle interior data and the vehicle exterior data acquired on the travel section for suspension parameter adjustment. In one embodiment, the above described data processing operations may be performed using AI or other data science methods known to those skilled in the art. In one embodiment, the vehicle interior data may include vehicle type, vehicle weight, vehicle speed, tire type, tire wear, tire pressure, or any other relevant data collected using onboard sensors for suspension parameter adjustment. In one embodiment, the vehicle exterior data may include environmental awareness data regarding the vehicle surroundings, wherein the environmental awareness data may include one or more of road surface conditions, weather conditions, obstructions. In one embodiment, the optimal suspension parameter may be a full-speed domain suspension parameter, in which case a corresponding suspension parameter may be selected from the full-speed domain suspension parameters according to the current vehicle speed, and a corresponding suspension control is performed on a corresponding travel section according to the selected suspension parameter. In one embodiment, the suspension parameters described above may be parameters for adjusting one or more of suspension travel, suspension height, suspension damping force, or suspension stiffness of the vehicle. The vehicle interior data and the vehicle exterior data for suspension parameter adjustment may be periodically acquired and updated on each travel section.
In step 403, the suspension control module 103 may perform corresponding suspension control on the corresponding travel section according to the acquired optimal suspension parameters for each travel section. Preferably, when the vehicle detects that the current suspension control is not optimal, vehicle interior data and vehicle exterior data of the vehicle for suspension parameter adjustment associated with the current position of the vehicle are uploaded to a server for further processing.
Therefore, the sensor data are collected from the vehicles running on each road section and the corresponding sensor data are processed to obtain the optimal suspension parameters for each road section, so that the corresponding optimal suspension parameters can be directly downloaded when the route planning is carried out, the stability and the operability of the vehicles are improved, and the driving experience of a user is further improved.
FIG. 5 illustrates an exemplary vehicle 500 supporting active suspension control according to one embodiment of the invention. The vehicle 500 may include a sensor system 501, a communication system 502, and an active suspension control system 100. The sensor system 501 may be configured to acquire vehicle interior data and vehicle exterior data for suspension parameter adjustment. The sensor system 501 may include, for example, inertial sensors (e.g., inertial measurement units IMUs), wheel speed sensors, steering wheel angle sensors, steering torque sensors, tire pressure sensors, brake pressure sensors, global Positioning Systems (GPS), millimeter wave radar, lidar, ultrasonic radar, vision sensors, altitude sensors, and the like. The communication system 502 may be configured to communicate with a server (or cloud) to obtain optimal suspension parameters for each travel segment and upload vehicle interior data and vehicle exterior data for suspension parameter adjustment. In one embodiment, communication system 502 may be implemented as an on-board unit (OBU). The active suspension control system 100 may perform respective suspension control on respective travel segments based on the acquired optimal suspension parameters for the respective segments.
Fig. 6 illustrates an architectural schematic diagram of an active suspension control system 600 according to one embodiment of the present invention. As shown in fig. 6, the system 600 may include a memory 601 and at least one processor 602. The memory 601 may include RAM, ROM, or a combination thereof. The memory 601 may store computer executable instructions that, when executed by at least one processor 602, cause the at least one processor 602 to perform the various functions described herein, including: determining a driving route of the vehicle according to the user request; acquiring an optimal suspension parameter for each travel section of the travel route based on vehicle information of the vehicle, wherein the optimal suspension parameter for each travel section is obtained based on processing vehicle interior data and vehicle exterior data for suspension parameter adjustment acquired on the travel section; and performing corresponding suspension control on the corresponding driving road section according to the acquired optimal suspension parameter of each driving road section. In some cases, the memory 601 may include, among other things, a BIOS that may control basic hardware or software operations, such as interactions with peripheral components or devices. The processor 602 may include intelligent hardware devices (e.g., a general purpose processor, DSP, CPU, microcontroller, ASIC, FPGA, programmable logic device, discrete gate or transistor logic components, discrete hardware components, or any combination thereof).
The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software for execution by a processor, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Other examples and implementations are within the scope of the disclosure and the appended claims. For example, due to the nature of software, the functions described herein may be implemented using software executed by a processor, hardware, firmware, hardwired or any combination thereof. Features that implement the functions may also be physically located in various places including being distributed such that parts of the functions are implemented at different physical locations.
What has been described above includes examples of aspects of the claimed subject matter. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the claimed subject matter, but one of ordinary skill in the art may recognize that many further combinations and permutations of the claimed subject matter are possible. Accordingly, the disclosed subject matter is intended to embrace all such alterations, modifications and variations that fall within the spirit and scope of the appended claims.
Claims (15)
1. An active suspension control method for a vehicle, the method comprising:
determining a driving route of the vehicle according to a user request;
Acquiring an optimal suspension parameter for each travel section of the travel route according to vehicle information of the vehicle, wherein the optimal suspension parameter for each travel section is obtained based on processing vehicle interior data and vehicle exterior data acquired on the travel section for suspension parameter adjustment; and
And performing corresponding suspension control on the corresponding driving road section according to the acquired optimal suspension parameter of each driving road section.
2. The method of claim 1, wherein obtaining optimal suspension parameters for each travel section of the travel route based on vehicle information for the vehicle further comprises:
An optimal suspension parameter for each travel segment of the travel route is obtained as a function of a vehicle type of the vehicle and a tire condition, wherein the tire condition includes one or more of a tire type, a tire pressure, or a tire wear.
3. The method of claim 1, wherein the vehicle interior data comprises a vehicle type, a vehicle weight, a vehicle speed, a tire type, a tire wear, a tire pressure, or any other relevant data collected using an onboard sensor.
4. The method of claim 1, wherein the vehicle external data comprises context-aware data about a vehicle surroundings, the context-aware data comprising one or more of road conditions, weather conditions, obstructions.
5. The method of claim 1, wherein the optimal suspension parameter is a full-speed domain suspension parameter.
6. The method of claim 5, wherein performing respective suspension control on respective travel segments based on the acquired optimal suspension parameters for each travel segment further comprises:
determining suspension parameters corresponding to the speed of the vehicle on the corresponding driving road section according to the acquired full-speed-domain suspension parameters of the corresponding driving road section; and
And carrying out corresponding suspension control on corresponding driving road sections according to the determined suspension parameters.
7. The method of claim 1, wherein the suspension parameters include parameters for adjusting one or more of a suspension travel, a suspension height, a suspension damping force, or a suspension stiffness of the vehicle.
8. The method as recited in claim 1, further comprising:
When the vehicle detects that the current suspension control is not optimal, vehicle interior data and vehicle exterior data of the vehicle for suspension parameter adjustment associated with the current position of the vehicle are uploaded to a server for further processing.
9. The method of claim 1, wherein the vehicle interior data and the vehicle exterior data for suspension parameter adjustment are periodically collected and updated over each travel segment.
10. An active suspension control system for a vehicle, the system comprising:
a route determination module configured to determine a travel route of the vehicle according to a user request;
A parameter acquisition module configured to acquire an optimal suspension parameter for each travel section of the travel route from vehicle information of the vehicle, wherein the optimal suspension parameter for each travel section is obtained based on processing vehicle interior data and vehicle exterior data for suspension parameter adjustment acquired on the travel section; and
And a suspension control module configured to perform respective suspension control on the respective travel section according to the acquired optimal suspension parameter for each travel section.
11. The system of claim 10, wherein the parameter acquisition module is further configured to:
An optimal suspension parameter for each travel segment of the travel route is obtained as a function of a vehicle type of the vehicle and a tire condition, wherein the tire condition includes one or more of a tire type, a tire pressure, or a tire wear.
12. The system of claim 10, wherein the vehicle interior data comprises a vehicle type, a vehicle weight, a vehicle speed, a tire type, a tire wear, a tire pressure, or any other relevant data collected using an onboard sensor.
13. The system of claim 10, wherein the vehicle external data comprises context-aware data about the vehicle surroundings, the context-aware data comprising one or more of road conditions, weather conditions, obstructions.
14. A vehicle having active suspension control functionality, the vehicle comprising:
A sensor system configured to acquire vehicle interior data and vehicle exterior data for suspension parameter adjustment;
A communication system configured to communicate with a server to acquire optimal suspension parameters for each travel section and upload vehicle interior data and vehicle exterior data for suspension parameter adjustment; and
The active suspension control system according to any one of claims 10-13.
15. A computer readable storage medium storing instructions that, when executed, cause a machine to perform the method of any of claims 1-9.
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| CN202211471852.XA CN118107330A (en) | 2022-11-23 | 2022-11-23 | Active suspension control method and system |
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