A Methodology to Design an Efficient EM Controller with High Practicability in HEVs Modeling and Optimization

Ehsan Ghasemimoghadam, Kazuhide Togai, Hisashi Tamaki

The energy management (EM) problem in hybrid electric vehicles (HEVs) has been extensively interested. Herein, a new approach to improve the EM control logic based on improving control-oriented operations of HEV system via deriving rules with considering the speed tracking feature is proposed. Thus, it leads to design of efficient EM strategies with high practicability. For this purpose, a novel methodology for implementing local search and evolutionary strategy optimization techniques in the EM problem is proposed. In order to realize the proposed method, a generic framework for modelling the HEV-system is proposed which has the desired flexibility and simplicity in implementing in the EM studies. In implementing the mentioned optimization techniques, by focusing on minimizing the overall fuel consumption and controlling the decision variables are taken as an optimization objective where a new heuristic procedure for human operation is proposed. Through computational examples with a series-parallel type on several pre-given driving missions, fuel consumption improvement with sufficient accuracy was observed and the effectiveness of the proposed approach in the finding the improved decision variables resulting in design of efficient EM strategies was confirmed.