摘要
动力系统部件参数与控制策略参数相互耦合,共同影响整车的动力性能、经济性和排放性能。本文旨在对某一插电式混合动力汽车的动力系统进行成本、油耗和排放多目标参数优化。首先提出使整车动力系统效率最优为目标的瞬时能量管理控制策略,然后以最小化动力系统成本、考虑发动机热状况的油耗和排放为优化目标,采用多目标遗传算法对动力系统部件参数和控制参数进行同时优化,从而获得该优化问题的Pareto最优解集。结果表明:与原始车型相比,除了个别方案NOx略有增加外,Pareto最优解集所对应的燃油经济性和排放性能都有明显提高。同时Pareto解集提供了多组可行的参数优化方案,设计人员可以根据对动力系统成本、燃油经济性和排放的重视程度不同而选择所需的参数组合。
The component parameters of powertrain and the parameters of control strategy are coupled each other, and they affect the power performance, fuel economy and emission together. This paper aims to con- duct a multi-objective optimization on the power performance, fuel economy and emission of the powertrain in a plug-in HEV. Firstly, a transient energy management control strategy is presented for optimizing the efficiency of powertrain. Then with minimizing the cost, fuel consumption with consideration of engine thermal state and emis- sion as optimization objectives, the component parameters of powertrain and the parameters of control strategy are concurrently optimized by using multi-objective genetic algorithm with a Pareto optimal solution set obtained. The results show that compared with original vehicle, the fuel consumption and emission performances of the vehicle corresponding to Pareto solution set are all obviously improved, except a few solutions having a slight increase in NOx emission. In addition, Pareto solution set provide many optimal schemes of feasible parameter combinations, and the designers can select the parameter combination they desire based on their preferences among cost, fuel e- conomy and emission.
出处
《汽车工程》
EI
CSCD
北大核心
2016年第4期397-402,434,共7页
Automotive Engineering
基金
国家863计划项目(2013BAG12B01)
重庆市基础与前沿研究计划杰青项目(cstc2013jcyjjq60002)资助
