Toward analytical solution of optimal control problems for HEV energy management

In simulation, the hybrid vehicle energy management problem can be expressed as an optimal control one. The minimum principle can be used to derive efficient algorithms but the obtained solutions still require some numerical computation. In this work, a new formulation of the optimization problem allows to use analytical models and to obtain some analytical solutions of the control variables. The main benefit is the reduction of the computation requirements which may be critical if the optimization problem is solved, for example, within a real time predictive control framework.