Novel stability control strategy for distributed drive electric vehicle based on driver operation intention
- 313 Downloads
In this paper, a novel direct yaw control method based on driver operation intention for stability control of a distributed drive electric vehicle is proposed. It was discovered that the vehicle loses its stability easily under an emergency steering alignment (EA) problem. An emergent control algorithm is proposed to improve vehicle stability under such a condition. A driver operation intention recognition module is developed to identify the driving conditions. When the vehicle enters into an EA condition, the module can quickly identify it and transfer the control method from normal direct yaw control to emergency control. Two control algorithms are designed. The emergency control algorithm is applied to an EA condition while the adaptive control algorithm is applied to other conditions except the EA condition. Both simulation results and real vehicle results show that: The driver module can accurately identify driving conditions based on driver operation intention. When the vehicle enters into EA condition, the emergent control algorithm can intervene quickly, and it has proven to outperform normal direct yaw control for better stabilization of vehicles.
Key wordsDistributed drive electric vehicle Stability control Driver operation intention Emergency steering alignment
Unable to display preview. Download preview PDF.
- Arbor, A. (2009). CarSim®Reference Manual, Version 8.02. Mechanical Simulation Corporation.Google Scholar
- Ding, H., Guo, K. and Chen, H. (2010). LQR method for vehicle yaw moment decision in vehicle stability control. J. Jilin University (Engineering and Technology Edition), 03, 597–601.Google Scholar
- Guo, J. (2011). Research on Control Algorithm and Performance Evaluation. Ph. D. Dissertation. Jilin University. Changchun, Jilin, China.Google Scholar
- Härkegård, O. (2003). Backstepping and Control Allocation with Applications to Flight Control. Ph. D. Dissertation. Linkping University. Linköping, Sweden.Google Scholar
- He, L., Ma, B., Zong, C. and Zheng, H. (2014). Emergency steering control based on driver steering intention recognition for steer-by-wire vehicle. J. Hunan University (Natural Sciences), 01, 81–86.Google Scholar
- Li, B., Dong, W. and Wang, X. (2013). Design and simulation of an active vibration isolator based on pneumatic-electromagnetic hybrid driving. J. Northwestern Polytechnical University 31, 6, 871–877.Google Scholar
- Song, J. (2008). Enhanced braking and steering yaw motion controllers with a non-linear observer for improved vehicle stability. Proc. Institution of Mechanical Engineers, Part D: J. Automobile Engineering 222, 3, 293–304.Google Scholar
- Xiong, L., Yu, Z., Jiang, W. and Jiang, Z. (2010). Research on vehicle stability control of 4WD electric vehicle based on longitudinal force control allocation. J. Tongji University (Natural Science), 03, 417–421.Google Scholar
- Zhao, Y., Zhang, Y. and Zhao, Y. (2009). Stability control system for four-in-wheel-motor drive electric vehicle. 6th Int. Conf. Fuzzy Systems and Knowledge Discovery, 171–175.Google Scholar