Predictive energy management strategy for electric vehicles based on estimation of preceding vehicle future movements

作者：Shuwei Zhang, Donghao Zhang, Yugong Luo, Junmin Wang, Keqiang Li · 年份：2016 · DOI：10.1109/aim.2016.7576972 · 被引用次数：18 · 研究领域：Electric and Hybrid Vehicle Technologies、Vehicle Dynamics and Control Systems、Vehicle emissions and performance

In this paper, a model predictive controller is designed to control an FEV based on the road terrain grade information and the front vehicles movement prediction. With the vehicle-to-vehicle and vehicle-to-infrastructure wireless communication technologies, two front vehicles movement information are obtained, and a Bayes Network model is applied to predict the movement of the closer preceding vehicle. With a recursive optimization of the control algorithm, the velocity trajectory and front and rear motor torques of the FEV are optimized to realize the energy-efficient driving performance. Simulation results show that this method has a better energy saving performance than the traditional one, and this algorithm has a wider applicability under various driving conditions.