Component sizing of a power-split hybrid electric vehicle using a hybrid algorithm

Genetic algorithms (GA) [1-7] are proved well suited for component size optimisation of hybrid electric vehicles (HEV). But, GA is required very high convergence time to find optimal value. The hybrid algorithm [8] combining both the GA and the particle swarm optimisation (PSO) is found suitable to reduce convergence time and to improve optimal value for multi-modal functions, but no study is done for practical application. This paper investigates the hybrid algorithm for component size optimisation of a power-split HEV to get better fuel consumption with less convergence time compared to the GA.