A fuzzy - genetic algorithm approach for finding a new HEV control strategy idea

In this paper, a novel control strategy for hybrid electric vehicles (HEVs) is presented. The proposed method is based on global optimization for energy management system of a conventional parallel HEV. A rule based fuzzy control strategy is considered for optimization of the system. The fuzzy membership function boundaries are kept constant and the fuzzy rule table is optimized by using genetic algorithm for different types of cycles. The results of the proposed optimization method suggest that fixing the internal combustion engine (ICE) torque constant is prior to keeping the state of charge (SOC) of the batteries constant. It confirms that the electric machine should provide dynamic power of the load and static power should be supplied by the ICE.