Logical stochastic optimization approach to energy management of plug-in hybrid electric vehicle

This paper proposes a control scheme for the energy management of plug-in hybrid electric vehicles (HEVs). Consider the urban driving case, the traffic conditions are treated as stochastic processes of the driver demands. Taking the essential characteristics of plug-in HEVs into account, a logical-based optimization approach is applied to realize the equivalent energy cost minimization of the powertrain. The stochastic design approach provides the solution of a finite horizon optimal control problem. The performance of the proposed control scheme is evaluated by means of a full-scaled hybrid electric vehicle (HEV) simulator.