关键词: 传动系统, 控制策略, 免疫遗传算法, 参数优化

Abstract: A muti-objective optimal model for minimizing fuel consumption, emission of CO and HC, and NOx emission is established, optimization variable for parameters of the powertrain and control strategy, dynamic performance and battery state of charge equilibrium as constraint conditions. By using the weight coefficient method, multi-objective optimization problems are transformed into a single objective optimization function. A multi-objective evolutionary algorithm based on immune genetic algorithm for the parameters is proposed. This algorithm uses a real coding method to represent antibody and functions of ADVISOR to establish a combine simulation model. Simulation results show that the fuel consumption is decreased, and emissions of CO and HC are reduced effectively, it also shows the proposed algorithm is able to perform the multi-objective optimization design of HEV and provide a set of alternative optimal parameters of better fuel economy and emission performance for designer.

Key words: powertrain, control strategy, immune genetic algorithm, parameters optimization