Research on energy control strategy of four-wheel drive hybrid electric vehicle based on dynamic programming

Abstract

Aiming at the newly developed four-wheel drive hybrid system, with the goal of minimizing fuel consumption, the energy control strategy of the optimal curve of the engine is proposed, and the optimal control law under CLTC working conditions is obtained after global optimization of the dynamic programming algorithm, which is used to improve the rule-based energy control strategy, so as to develop the energy control strategy based on dynamic programming, build the energy control strategy model in Matlab/Simulink, and co-simulate it with the vehicle model built in VPAT. The simulation results show that the engine operating point runs along the target curve, and the energy control strategy using dynamic programming improves the fuel economy by 4.33% compared with the rule-based control.