Optimal Sizing of a Series Hybrid Electric Vehicle Using a Hybrid Genetic Algorithm

Abstract

Hybrid electric vehicle is considered as the most promising solution to energy crisis and urban air pollution. However, as it has at least two sets of propulsion systems, its configuration is complex. To get better fuel economy and vehicle performance, the design and sizing of its powertrain components are important. In this paper, an HEXA optimal sizing method combining optimization algorithm and HEV simulation tool is introduced, and then a real-coded, adaptive based hybrid genetic algorithm is developed and applied to the optimal sizing of a series hybrid electric vehicle. ADVISOR2002 is used as the vehicle simulator. The results have proved the validity of the optimal sizing methodology and the efficiency of the hybrid genetic algorithm. Based on the results, some improvements are proposed on the vehicle studied.