一种面向智能电动汽车驱动防滑控制方法及控制系统
By employing a multi-source fusion processing and dynamic torque transfer control method in intelligent electric vehicles, the problem of the impact of traditional fuel vehicle drive anti-slip control on driving experience has been solved, thus improving the drive anti-slip control effect and acceleration performance of intelligent electric vehicles.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JILIN UNIVERSITY
- Filing Date
- 2023-06-21
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional gasoline-powered vehicles use anti-slip control methods that reduce the driving torque desired by the driver, affecting the vehicle's acceleration performance and driving experience. Meanwhile, the motor systems of intelligent electric vehicles have a slower response time, making it difficult to effectively meet the driver's driving needs.
Intelligent electric vehicles based on a distributed architecture calculate wheel states and dynamically transfer torque through multi-source information fusion processing to respond to the driver's driving needs. The control method using multi-source information fusion processing and dynamic torque transfer includes data acquisition, processing, ASR flag detection, basic torque calculation, and motor torque distribution.
It improves the anti-slip control effect of intelligent electric vehicles, responds to driver needs, improves driving experience, and enhances overall vehicle acceleration performance.
Smart Images
Figure CN117284091B_ABST