Abstract:

A parameters optimization method was proposed based on crossover-mutation bee colony algorithm to reduce fuel consumption and harmful gases emissions of hybrid electric vehicle (HEV). Energy management strategy was formulated by establishing vehicle dynamic model and key component model, comprehensively utilizing the efficiency of engine, motor and power battery. Taking the parameters of power system and energy control strategy as optimization variables, a multi-objective optimization model was established. On the basis of bee colony algorithm, crossover and mutation strategy were used to deepen local searching method, and half stochastic and half reserved method was used to improve global searching efficiency. The results show that verified by the urban dynamometer driving schedule (UDDS) condition, fuel consumption after optimization decreases by 4.85%, CO emission by 19.83%, hydrocarbon compound (CH) by 8.08%, nitrogen oxides (NO_x) compound by 7.08%. This indicates the validity of crossover-mutation bee colony reckoning on parameters optimization.

Key words: hybrid electric vehicle (HEV), energy management strategy is ruled, harmful gases emissions, parameters optimization, crossover-mutation strategy, bee colony algorithm