Eco-driving of electric vehicles with integrated motion and battery dynamics

Considering the great potential of electric vehicles (EVs) in relieving energy and environmental crisis, this paper proposes an integrated motion and battery control method for the eco-driving of EVs. The goals are to satisfy the power demand of certain driving cycles with minimal energy consumption and to guarantee safe operations of the battery at the same time. Specifically, we consider both the vehicle level motion dynamics and the battery dynamics for an integrated EV eco-driving model. Model predictive control (MPC) is utilized to handle the multiple conflicting objectives and system constraints. To reduce the possible heavy computational burden of the online optimization problems, a successive linearization approach in the framework of MPC is applied to the prediction model to achieve a trade-off between control performance and computational complexity. Standard driving cycles are employed to test the effectiveness of the proposed algorithms. Simulation results show that the integrated motion and battery control can achieve the eco-driving goals in various test scenarios.