采用NSGA-Ⅱ算法的混合动力能量管理控制多目标优化方法  

A Multi-Objective Optimization Method for Energy Management Control of Hybrid Electric Vehicles Using NSGA-Ⅱ Algorithm

作　　者：邓涛[1] 林椿松 李亚南[1] 卢任之 

机构地区：[1]重庆交通大学机电与车辆工程学院,重庆400074

出　　处：《西安交通大学学报》2015年第10期143-150,共8页Journal of Xi'an Jiaotong University

基　　金：国家自然科学基金资助项目(51305473);中国博士后科学基金资助项目(2014M552317);重庆市基础与前沿研究计划项目(cstc2013jcyjA0794);重庆市教委科学技术研究资助项目(KJ120421);重庆市博士后研究人员特别资助项目(xm2014032)

摘　　要：综合考虑燃油经济性、排放性与驾驶性对混合动力能量管理控制优化的优点,以某款并联混合动力汽车为研究对象,选取能量管理控制参数与传动系参数作为待优化参数,以动力性作为约束条件,建立混合动力能量管理控制多目标优化评价方法,提出基于NSGA-Ⅱ算法的混合动力系统多目标优化方法,并与优化前控制策略进行仿真对比分析。结果表明:在满足基本约束的前提下,优化后燃油经济性最多提高了7.8%,平均提高了6.38%;驾驶性性能指标最多提高了27.12%,平均提高了21.74%;排放性综合指标平均提高了41.51%。提出的多目标优化算法具有良好的收敛性与分布性,得到的Pareto最优解集能够给混合动力能量管理控制策略提供更多的权衡选择方案,体现了多目标优化的优势。A multi-objective optimization evaluation method for hybrid electric vehicle （HEV） is proposed by comprehensively considering the influences of fuel economy, emission and drivability on the energy management control for HEV. The multi-objective optimization algorithm based on NSGA-II （non-dominated sorting genetic algorithm-II） is established by setting the parameters of the energy management control and the driveline system as the optimal parameters for the parallel hybrid electric vehicles, and the dynamic performance as the constraint condition. Then the proposed method is comparatively analyzed with the traditional control strategy that only considers the fuel economy. Simulation results show that the maximum fuel economy performance increases by 7.8% and the average value increases by 6. 38% the maximum drivability performance increases by 42.28% and the average value increases by 21.74%; the average synthetic emission performance increases optimization algorithm has good convergence and solutions may provide more trade-off options for by 41.51%. The proposed multi-objective distribution. The obtained Pareto optimum HEV energy management control strategy,which reflect the advantages of multi-objective optimization.

关 键 词：混合动力 能量管理 PARETO最优解 NSGA-Ⅱ算法 多目标优化 

分 类 号：U469.7[机械工程—车辆工程] TP18[交通运输工程—载运工具运用工程]