Abstract
To study road identification method for vehicle longitudinal dynamic control a multi-level estimation of road adhesion under all conditions was proposed. In normal driving condition, the high-μ road and low-μ road could be distinguished effectively through the estimation and validation of tire longitudinal slide stiffness Cs. Under ABS/ASR condition, the estimation of road adhesive coefficient was compared with its model reference value for different roads, hence the matching road type was determined based on the validation of confidence threshold. On that basis, the longitudinal road identification method was evaluated and verified through the vehicle experiment. The results show that the proposed method is of fine real-time performance and effectiveness for different straight conditions and different road adhesions.
| Original language | English |
|---|---|
| Pages (from-to) | 177-182 |
| Number of pages | 6 |
| Journal | Zhongguo Gonglu Xuebao/China Journal of Highway and Transport |
| Volume | 27 |
| Issue number | 5 |
| Publication status | Published - May 2014 |
Keywords
- Adhesive coefficient
- Automotive engineering
- Burckhardt tire model
- Road identification
- Vehicle experiment
- Vehicle longitudinal control system