CN-122009149-A - Suspension stiffness and transmission output torque self-adaptive adjusting method and system

CN122009149ACN 122009149 ACN122009149 ACN 122009149ACN-122009149-A

Abstract

The application relates to a self-adaptive adjusting method for suspension rigidity and transmission output torque, which comprises the following steps of obtaining multi-source time sequence data in the running process of a vehicle, constructing a characteristic vector for judging the running intention of a driver based on the multi-source time sequence data, matching the characteristic vector with a preset intention template library, adopting a Bayesian network model to conduct behavior deduction by combining time sequence characteristics in a continuous time window, outputting a driver intention probability vector, determining the current running intention of the driver based on the intention probability vector, and executing a branch adjusting strategy based on the current running intention if the first intention is the first intention. According to the application, the current driving intention is identified, and the target suspension stiffness and/or the target transmission torque are/is directly calculated based on the identified form intention, so that the cooperative adjustment of the suspension stiffness and the transmission torque is realized, and the dynamic response, the driving stability and the riding comfort can be considered under different driving working conditions.

Inventors

YU BAOSHUO
CHEN ZIXUAN
ZHAI RUNGUO
CAO AN
WU WEI

Assignees

岚图汽车科技股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260331

Claims (10)

1. The self-adaptive adjusting method for the rigidity of the suspension and the transmission output torque is characterized by comprising the following steps of: acquiring multi-source time sequence data in the running process of a vehicle, constructing a feature vector for judging the running intention of a driver based on the multi-source time sequence data, matching the feature vector with a preset intention template library, adopting a Bayesian network model to conduct behavior deduction by combining time sequence features in a continuous time window, outputting a driver intention probability vector, and determining the current running intention of the driver based on the intention probability vector; executing a branch adjustment strategy based on the current driving intention, wherein the branch adjustment strategy is used for calculating target transmission torque if the current driving intention is a first intention, calculating target suspension stiffness if the current driving intention is a second intention, and calculating target transmission torque and target suspension stiffness if the current driving intention is a third intention; and outputting the calculated target suspension stiffness and/or target transmission torque to an actuator.
2. The method of claim 1, wherein the multi-source timing data comprises steering wheel angle, accelerator pedal opening, brake pressure, vehicle speed, and lateral acceleration, and the timing characteristics comprise steering wheel angle, accelerator pedal opening, and rate of change of brake pressure over a continuous time window.
3. The method for adaptively adjusting the rigidity of a suspension and the output torque of a transmission according to claim 1, wherein the matching of the feature vector with a preset intended template library specifically comprises: And triggering preliminary matching when the similarity is higher than a preset threshold value by adopting a cosine similarity algorithm.
4. The method of claim 1, wherein the first intention is an acceleration or overtaking intention, the second intention is a steering or braking intention, and the third intention is a smooth driving intention.
5. The method of claim 4, wherein the step of outputting the calculated target suspension stiffness and/or target transmission torque to the actuator is performed before the step of: acquiring current working condition parameters of a vehicle, determining ideal suspension stiffness and ideal transmission torque under the current working condition based on the working condition parameters and the current running intention, comparing deviation of the current suspension stiffness and the ideal suspension stiffness and deviation of the current transmission torque and the ideal transmission torque, and outputting an adaptation fraction; And correcting the target suspension stiffness and/or the target transmission torque through a predictive control algorithm based on the intention probability vector and the adaptation score so as to generate a corrected adjustment instruction and output the corrected adjustment instruction to an actuator.
6. The method of claim 5, wherein the operating parameters include vehicle speed and road condition roughness, and the desired suspension stiffness and desired transmission torque are calculated by the following formula: ; ; Wherein, the For the reference rigidity corresponding to the current running intention, And For the road condition coefficient corresponding to the current driving intention, Is the roughness of the road condition, And As the vehicle speed coefficient corresponding to the current running intention, For the vehicle speed of the vehicle, The reference torque corresponding to the current driving intention is obtained; the adaptation fraction is obtained through weighted calculation according to deviation of the current suspension stiffness and the ideal suspension stiffness and deviation of the current transmission torque and the ideal transmission torque.
7. The method for adaptively adjusting the stiffness of a suspension and the torque output of a transmission according to claim 6, wherein the calculating the target torque of the transmission if it is a first intention, the calculating the target stiffness of the suspension if it is a second intention, and the calculating the target torque of the transmission and the target stiffness of the suspension if it is a third intention comprises: If the current driving intention is an accelerating or overtaking intention, calculating a target transmission torque based on the change rate of the accelerator pedal; if the current running intention is steering or braking intention, calculating target suspension rigidity based on a steering angle and braking strength; And if the current driving intention is a stable driving intention, calculating a target transmission torque and a target suspension stiffness based on the road condition roughness.
8. The method of claim 5, wherein the predictive control algorithm optimizes the target suspension stiffness and/or target drive torque by minimizing a cost function, the cost function comprising an intent match term, a state deviation term, and a strategic smoothing term.
9. The method of adaptive adjustment of suspension stiffness and transmission output torque according to claim 5, further comprising, after generating and outputting the corrected adjustment command to the actuator: and collecting feedback data used for representing the running state of the vehicle after adjustment, and if the feedback data does not reach a preset feedback standard, re-correcting the target suspension stiffness and/or the target transmission torque.
10. A system based on the method of adaptive adjustment of suspension stiffness and transmission output torque of claim 1, comprising: the data acquisition module is used for acquiring multi-source time sequence data in the running process of the vehicle; The intention recognition module is used for constructing a feature vector based on the multi-source time sequence data, matching the feature vector with a preset intention template library, carrying out behavior deduction by adopting a Bayesian network model and combining time sequence features in a continuous time window, outputting a driver intention probability vector, and determining the current driving intention of the driver based on the intention probability vector; The calculation module is used for executing a branch adjustment strategy based on the current driving intention, calculating target transmission torque if the current driving intention is a first intention, calculating target suspension stiffness if the current driving intention is a second intention, calculating target transmission torque and target suspension stiffness if the current driving intention is a third intention, and outputting the calculated target suspension stiffness and/or target transmission torque to an actuator.

Description

Suspension stiffness and transmission output torque self-adaptive adjusting method and system Technical Field The invention relates to the technical field of vehicle suspension and torque control, in particular to a suspension rigidity and transmission output torque self-adaptive adjusting method and system. Background With the rapid development of new energy automobiles, the comprehensive requirements of users on the dynamic performance, the control stability and the riding comfort of the automobiles are increasingly improved, the chassis air suspension system and the power transmission system are used as core execution components for influencing the performances, and the riding quality of the whole automobile is directly determined by the cooperative control capability of the chassis air suspension system and the power transmission system. In the related art, an air suspension system and a power transmission system generally adopt independent control strategies, and the suspension system mainly adjusts rigidity and damping according to road surface conditions and vehicle body postures so as to improve riding comfort; therefore, as the suspension and the adjustment of the transmission system are mutually independent, the cooperative coordination cannot be realized under dynamic working conditions such as acceleration, steering, braking and the like, so that the dynamic property and the comfort are difficult to be considered, and the multi-target requirements such as dynamic property, stability and comfort are difficult to balance under different driving working conditions; in the prior art, the response type adjustment is generally performed only according to the sensor signal at the current moment, namely, the system is correspondingly adjusted after the operation of the driver occurs, and the adjustment response is delayed due to the lack of the prejudgment capability of the operation trend of the driver, so that an adaptive adjustment method capable of realizing the cooperative control of the suspension and the transmission system and having the prejudgment capability of the intention of the driver is needed to meet the requirements of power performance, stability and comfort under different driving conditions. Disclosure of Invention The application provides a self-adaptive adjusting method and a system for suspension rigidity and transmission output torque, which are characterized in that a driver intention probability vector is identified through multi-source time sequence data, an adaptation score is output by combining working condition parameters, a target value is calculated based on intention, and then the target value is corrected according to the intention probability vector and the adaptation score through a predictive control algorithm, so that the self-adaptive adjustment of the cooperation of the suspension rigidity and the transmission torque under different driving working conditions is realized. In a first aspect, an embodiment of the present application provides a method for adaptively adjusting stiffness of a suspension and a transmission output torque, including the steps of: acquiring multi-source time sequence data in the running process of a vehicle, constructing a feature vector for judging the running intention of a driver based on the multi-source time sequence data, matching the feature vector with a preset intention template library, adopting a Bayesian network model to conduct behavior deduction by combining time sequence features in a continuous time window, outputting a driver intention probability vector, and determining the current running intention of the driver based on the intention probability vector; executing a branch adjustment strategy based on the current driving intention, wherein the branch adjustment strategy is used for calculating target transmission torque if the current driving intention is a first intention, calculating target suspension stiffness if the current driving intention is a second intention, and calculating target transmission torque and target suspension stiffness if the current driving intention is a third intention; and outputting the calculated target suspension stiffness and/or target transmission torque to an actuator. With reference to the first aspect, in one implementation, the multi-source time sequence data includes steering wheel angle, accelerator pedal opening, brake pressure, vehicle speed, and lateral acceleration, and the time sequence features include steering wheel angle, accelerator pedal opening, and rate of change of brake pressure over a continuous time window. With reference to the first aspect, in one implementation manner, the matching the feature vector with a preset intent template library specifically includes: And triggering preliminary matching when the similarity is higher than a preset threshold value by adopting a cosine similarity algorithm. With reference to the first aspect, in one embodiment, the first int