CN-122009315-A - Intelligent regulation and control system of electric steering gear of new energy automobile based on artificial intelligence

Abstract

The invention relates to the technical field of intelligent regulation and control, in particular to an intelligent regulation and control system of an electric steering gear of a new energy automobile based on artificial intelligence, which comprises a processor and a memory, wherein the processor executes a computer program stored in the memory to realize the following steps: according to the horizontal coordinate differences between adjacent historical power assisting points in each cluster and the standard deviation of the vertical coordinates of all the historical power assisting points in each cluster, a comprehensive stable characteristic value is obtained, according to the comprehensive stable characteristic value and the initial power assisting demand degree, the target power assisting demand degree at the current moment is obtained, the preset power assisting value is adjusted according to the target power assisting demand degree, the target power assisting value at the current moment is obtained, and the electric steering gear of the new energy automobile is regulated and controlled according to the target power assisting value. The invention can improve the auxiliary efficiency of the power assisting of the electric steering wheel and the effect of regulating and controlling the electric steering wheel of the new energy automobile.

Inventors

• ZENG LIJUAN

Assignees

• 广州市海拉汽车零件制造有限公司

Dates

Publication Date

20260512

Application Date

20260413

Claims (9)

1. 1. The intelligent regulation and control system for the electric steering wheel of the new energy automobile based on artificial intelligence comprises a processor and a memory, and is characterized in that the processor executes a computer program stored in the memory to realize the following steps: acquiring the running speed and the steering wheel rotation acceleration of the new energy automobile at different moments; obtaining an initial assistance demand degree at the current moment according to the running speed and the steering wheel rotation acceleration at the current moment, obtaining a neighboring historical assistance point set at the current moment, clustering the historical assistance points in the neighboring historical assistance point set according to the abscissa of the historical assistance points in the neighboring historical assistance point set at the current moment to obtain clusters, obtaining a comprehensive stable representation value according to the difference of the horizontal coordinates between the neighboring historical assistance points in the clusters and the standard deviation of the ordinate of all the historical assistance points in the clusters, and obtaining a target assistance demand degree at the current moment according to the comprehensive stable representation value and the initial assistance demand degree; And adjusting a preset assistance value according to the target assistance demand degree to obtain a target assistance value at the current moment, and regulating and controlling the electric steering gear of the new energy automobile according to the target assistance value.
2. 2. The intelligent regulation and control system of an electric steering wheel of a new energy automobile based on artificial intelligence according to claim 1, wherein the initial power-assisted demand level at the current time is a result of adding a reverse normalization result of a running speed at the current time and a normalization result of a steering wheel rotation acceleration at the current time.
3. 3. The intelligent regulation and control system of an electric steering wheel of a new energy automobile based on artificial intelligence as claimed in claim 1, wherein the method for acquiring the set of neighboring history assistance points at the current moment comprises the following steps: and in the adjacent history time period of the current time, acquiring the time when the assistance value exists, and recording as the history assistance time, recording the points formed by the assistance values of each history assistance time and the corresponding history assistance time in the adjacent history time period of the current time as the history assistance points corresponding to the current time, recording the set formed by all the history assistance points corresponding to the current time as the adjacent history assistance point set of the current time, wherein the abscissa of the history assistance points is time, and the ordinate of the history assistance points is assistance value.
4. 4. The intelligent regulation and control system of the new energy automobile electric steering wheel based on artificial intelligence as set forth in claim 1, wherein the method for obtaining the comprehensive stability characterization value comprises the following steps: And obtaining stable characterization values of all the clusters according to the horizontal coordinate differences between adjacent historical power assisting points in all the clusters and the standard deviations of the vertical coordinates of all the historical power assisting points in all the clusters, and carrying out weighted fusion on the stable characterization values of all the clusters according to the distances between the clusters and the current moment to obtain the comprehensive stable characterization values.
5. 5. The intelligent regulation and control system of an electric steering wheel of a new energy automobile based on artificial intelligence as set forth in claim 4, wherein the method for obtaining the stable characterization value of each cluster comprises the steps of: for any cluster, the history assistance points in the cluster are arranged according to time sequence to obtain a history assistance point sequence of the cluster, the adjacent distance of the corresponding history assistance point is obtained according to the horizontal coordinate distance between each history assistance point in the history assistance point sequence and the adjacent history assistance point of the corresponding history assistance point, and the stable characterization value of the cluster is obtained according to the adjacent distance of each history assistance point in the cluster and the standard deviation of the longitudinal coordinate values of all history assistance points in the cluster.
6. 6. The intelligent regulation and control system of an electric steering wheel of a new energy automobile based on artificial intelligence as set forth in claim 5, wherein the method for obtaining the stable characterization value of the cluster according to the adjacent distance of each history assistance point in the cluster and the standard deviation of the ordinate values of all the history assistance points in the cluster comprises: And marking the result of carrying out negative correlation mapping on the average value of the adjacent distances of all the history assistance points in the cluster as a first characterization value of the cluster, marking the result of carrying out negative correlation mapping on the standard deviation of the adjacent distances of all the history assistance points in the cluster as a second characterization value of the cluster, marking the result of carrying out negative correlation mapping on the standard deviation of the longitudinal coordinate values of all the history assistance points in the cluster as a third characterization value of the cluster, multiplying the first characterization value and the second characterization value of the cluster, and then adding the result of the third characterization value as a stable characterization value of the cluster.
7. 7. The intelligent regulation and control system of an electric steering wheel of a new energy automobile based on artificial intelligence as set forth in claim 4, wherein the method for weighting and fusing the stable characterization values of each cluster according to the distance between each cluster and the current moment to obtain the comprehensive stable characterization value comprises the following steps: And taking the time interval between the abscissa of the cluster center point of each cluster and the current moment as the distance between the corresponding cluster and the current moment, taking the result of negative correlation mapping of the distance between each cluster and the current moment as the weight factor of the corresponding cluster, taking the product of the stable characterization value of each cluster and the weight factor of the corresponding cluster as the weighted stable characterization value of the corresponding cluster, and taking the average value of the weighted stable characterization values of all clusters as the comprehensive stable characterization value.
8. 8. The intelligent regulation and control system of an electric steering wheel of a new energy automobile based on artificial intelligence according to claim 1, wherein the target power-assisting requirement level at the current moment is a result of multiplying the comprehensive stability characterization value by the initial power-assisting requirement level.
9. 9. The intelligent regulation and control system of an electric steering wheel of a new energy automobile based on artificial intelligence as set forth in claim 1, wherein the target power assisting value at the current moment is a result of multiplying the target power assisting demand degree by a preset power assisting value.

Description

Intelligent regulation and control system of electric steering gear of new energy automobile based on artificial intelligence Technical Field The invention relates to the technical field of intelligent regulation and control, in particular to an intelligent regulation and control system of an electric steering engine of a new energy automobile based on artificial intelligence. Background In the field of new energy automobiles, in order to optimize driving experience, optimize comfort, improve energy efficiency and support advanced driving assistance functions at the same time, an electric steering gear of the new energy automobile needs to be intelligently regulated and controlled, and the electric steering gear of the new energy automobile usually refers to a steering system assembly taking a motor as a power assisting or executing core. At present, an Electric Power Steering (EPS) is the most popular new energy automobile electric steering regulation and control mode, namely the electric power steering (Electric Power Steering, EPS) is usually used for regulating and controlling the new energy automobile electric steering in the prior art, and the novel energy automobile electric steering is characterized in that the traditional mechanical steering structure is assisted by motor torque, so that the operation burden of a driver is obviously lightened and the energy efficiency is improved, the EPS system relies on a steering wheel torque sensor and a vehicle speed signal, the steering power is dynamically regulated and controlled based on a preset power assisting value, that is, the regulation and control strategy of the EPS in the prior art relies on a static or preset power assisting value to control, but under the complicated and changeable actual road conditions, the system response lacks natural continuity and adaptability, the matching degree of the power assisting output and the intention of the driver is insufficient, the driving smoothness is influenced, that is, the effect of regulating and controlling the new energy automobile electric steering is poor by relying on the static or preset power assisting value, so that the dynamic or self-adaptive regulation is performed on the power assisting value, and the regulation and control effect of the new energy automobile electric steering is the problem that needs to be solved. Disclosure of Invention In order to solve the problems, the invention provides an intelligent regulation and control system for an electric steering gear of a new energy automobile based on artificial intelligence, which adopts the following technical scheme: The embodiment of the invention provides an intelligent regulation and control system of a new energy automobile electric steering gear based on artificial intelligence, which comprises a processor and a memory, wherein the processor executes a computer program stored in the memory to realize the following steps: acquiring the running speed and the steering wheel rotation acceleration of the new energy automobile at different moments; obtaining an initial assistance demand degree at the current moment according to the running speed and the steering wheel rotation acceleration at the current moment, obtaining a neighboring historical assistance point set at the current moment, clustering the historical assistance points in the neighboring historical assistance point set according to the abscissa of the historical assistance points in the neighboring historical assistance point set at the current moment to obtain clusters, obtaining a comprehensive stable representation value according to the difference of the horizontal coordinates between the neighboring historical assistance points in the clusters and the standard deviation of the ordinate of all the historical assistance points in the clusters, and obtaining a target assistance demand degree at the current moment according to the comprehensive stable representation value and the initial assistance demand degree; And adjusting a preset assistance value according to the target assistance demand degree to obtain a target assistance value at the current moment, and regulating and controlling the electric steering gear of the new energy automobile according to the target assistance value. The method has the advantages that the driving speed and the steering wheel rotation acceleration of the new energy automobile at different moments are firstly obtained, then the initial power-assisted demand degree at the current moment is obtained according to the driving speed and the steering wheel rotation acceleration at the current moment, the historical power-assisted points in the adjacent historical power-assisted point set are clustered according to the horizontal coordinates of the historical power-assisted points in the adjacent historical power-assisted point set at the current moment to obtain clusters, the comprehensive stable representation value is obtained according to the h