Novel stability control strategy for distributed drive electric vehicle based on driver operation intention
Novel stability control strategy for distributed drive electric vehicle based on driver operation intention
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DOI：
10.1007/s12239-016-0064-3
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发表时间：
2016-06
影响因子：
1.6
通讯作者：
L. Xiong;G. Teng;Zhuoping Yu;W. X. Zhang;Yuan Feng
中科院分区：
文献类型：
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作者：
L. Xiong;G. Teng;Zhuoping Yu;W. X. Zhang;Yuan Feng
针对分布式驱动电动汽车的稳定性控制问题，提出了一种基于驾驶员操作意图的直接偏航控制方法。研究发现，在紧急转向对准问题下，车辆容易失去稳定性。为了提高车辆在这种情况下的稳定性，提出了一种紧急控制算法。开发了驾驶员操作意图识别模块，用于识别驾驶工况。当飞行器进入EA状态时，该模块可以快速识别并将控制方式从正常的直接偏航控制转换为紧急控制。设计了两种控制算法。紧急控制算法应用于EA条件，自适应控制算法应用于除EA条件外的其他条件。仿真结果和实车结果均表明：驾驶员模块能够根据驾驶员操作意图准确识别驾驶工况。当车辆进入EA状态时，该紧急控制算法可以快速介入，并且优于常规的直接偏航控制，能够更好地稳定车辆。
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.