Lin Cheng, Cheng Xingqun
Beijing Co-Innovation Center for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China ; National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China.
ScientificWorldJournal. 2014;2014:261085. doi: 10.1155/2014/261085. Epub 2014 Aug 12.
Both active safety and fuel economy are important issues for vehicles. This paper focuses on a traction control strategy with an efficiency model in a distributed driving electric vehicle. In emergency situation, a sliding mode control algorithm was employed to achieve antislip control through keeping the wheels' slip ratios below 20%. For general longitudinal driving cases, an efficiency model aiming at improving the fuel economy was built through an offline optimization stream within the two-dimensional design space composed of the acceleration pedal signal and the vehicle speed. The sliding mode control strategy for the joint roads and the efficiency model for the typical drive cycles were simulated. Simulation results show that the proposed driving control approach has the potential to apply to different road surfaces. It keeps the wheels' slip ratios within the stable zone and improves the fuel economy on the premise of tracking the driver's intention.
主动安全性和燃油经济性对车辆而言都是重要问题。本文聚焦于分布式驱动电动汽车中一种带有效率模型的牵引力控制策略。在紧急情况下,采用滑模控制算法通过将车轮滑移率保持在20%以下来实现防滑控制。对于一般的纵向驾驶情况,通过在由加速踏板信号和车速组成的二维设计空间内进行离线优化流程,构建了一个旨在提高燃油经济性的效率模型。对联合道路的滑模控制策略和典型驾驶循环的效率模型进行了仿真。仿真结果表明,所提出的驱动控制方法有应用于不同路面的潜力。它在跟踪驾驶员意图的前提下,将车轮滑移率保持在稳定区域内,并提高了燃油经济性。