A Modified Energy Management Strategy Based on SDP Policy Iteration for Commuter Hybrid Electric Vehicles

This paper focus on the investigation of solving the energy management optimization problem by the stochastic dynamic programming (SDP) policy iteration approach for commuter hybrid electric vehicles. In view of transition probabilities property of Markov chain while considering system physical constraints, the calculation method is given to several key parameter matrixes in the procedure of policy improvement when the SDP policy iteration algorithm is applied to stochastic system with states and inputs constraints. And then a modified energy management strategy for commuter hybrid electric vehicles is derived from the proposed calculation method. Moreover, several contrastive simulation results are presented to demonstrate the comparative advantage of the modified energy management strategy on the engine operating more efficiently with satisfactions of drivability demand and battery charge-sustaining.