摘要
混合动力汽车匹配参数和控制参数相互耦合共同影响整车动力性和经济性。为提高混合动力汽车的燃油经济性,需要对两种参数同时进行优化,为此本文开发多参数自动优化平台,利用Isight优化软件集成AVL-Cruise和Matlab,使用粒子群优化算法,对动力系统匹配参数和控制参数进行协同多参数自动优化。优化结果表明:在保证整车动力性前提下,燃油消耗下降,经济性明显改善。
For improving the fuel economy of hybrid electric vehicle, the optimizations of the matching and control parameters should be made at the same time. The automatic multi-parameter optimization platform was developed, which uses Isight software to integrate the AVL-Cruise and the Mat: lab software, and optimizes parameters of matching and control by using the PSO optimization algorithm. On the condition that the performance of the vehicle dynamic is fulfilled, the fuel consumption is reduced and the economy has been greatly improved .
出处
《中国农机化学报》
2015年第5期207-211,共5页
Journal of Chinese Agricultural Mechanization
基金
国家"十二五"863计划基金项目(2012AA111603)
关键词
混合动力汽车
自动优化平台
粒子群算法
多参数优化
hybrid electric vehicle
automatic optimization platform
PSO
multi-parameter optimization