Multiobjective Optimization of Energy Management Strategy of Plugin Hybrid Electric Vehicle

Abstract:

Energy management strategy is related to fuel consumption and exhaust emissions of plugin hybrid electric vehicle (PHEV).Vehicle simulation model is established on the basis of energy management strategy developed in this paper.A hybrid optimization algorithm is proposed to overcome the inherent defects in single optimization algorithm by combining the improved particle swarm algorithm and genetic algorithm (GA).The hybrid optimization algorithm is applied to the multioptimization of energy management strategy of PHEV.Optimization results show that the hybrid optimization algorithm can avoid falling into local optimum and its search capability is much better than simple particle swarm optimization(PSO) and GA.The optimized fuel consumption and the exhaust emissions reduce around 30%.