基于多目标优化的混合动力系统DOH参数匹配

以一款并联式混合动力系统为研究对象，提出一种基于混合度(DOH)进行动力性、经济性、排放性的多目标优化参数匹配方法。建立综合整车各性能指标为价值函数，选定DOH为匹配设计变量，采用粒子群优化算法(Particle Swarm Optimization ,PSO)进行优化，获得不同权重系数下的优化DOH，同时权衡部件成本进而选定最佳DOH进行参数匹配，并开展回归实验验证，其结果表明：和优化前相比，最高车速提高了19.7%，每加仑行驶的里程提高了10.9%,排放量降低了19.8%。

Multi-objective Optimization of Component Sizing of Hybrid Electric Powertrain Based on DOH

For a kind of parallel hybrid electric powertrain, a multi-objective optimization technique based on the vehicle performance, fuel economy and emissions is proposed, in which the optimizations on DOH is concurrently performed. The indexs of vehicle performance, fuel economy and emissions are constructed as the cost function, and the DOH is selected to match the design variables, which are optimized by using the Particle Swarm Optimization (PSO). The DOH is obtained under different weight coefficients and the components cost is simultaneously balanced to select the optimal DOH which are verified by advisor. The results show that maximum speed increases by 19.7%,the fuel consumption and reduces by 9.8% and 19.8% compared with the non-optimized powertrain.