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

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.