摘要
为兼顾车辆动力性和经济性的改善,针对变速器开展参数匹配的多目标优化设计.利用权重法将最高车速指标、0~60 km·h^(-1)加速时间和1挡最大爬坡度归一化处理,得到表征动力性的优化目标函数.并将百公里能耗作为经济性优化目标函数,再基于多岛遗传算法获得多目标优化问题的Parato解集.优化计算前后显示车辆的综合性能有较好提升,证明该优化方法较适用于车辆动力系统参数的匹配设计.
For both the improvement of the performance and fuel economy of vehicles,the multi-goal optimal matching design for transmission ratios are carried out.In order to solve the optimization problem effectively,using the weight method to obtain dynamic performance optimal objective function from the vehicle peak speed,0~60 km·h^-1 acceleration time and peak slope on 1st gear,as well as taking the fuel consumption per 100 km as the economic optimal objective function,and then to obtain Parato solution set of this multi-objective optimal problem based on the multi-island genetic algorithm.The optimal results showed that the overall performance of the vehicle has been improved,and the optimal method can be applied to solve the powertrain parameters matching design problem.
作者
余捷
姚立纲
闫晓磊
任铖铖
YU Jie YAO Ligang YAN Xiaolei REN Chengcheng(School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350116, China Automobile Electronics and Electric-drive Technology Key Laboratory of Fujian Province, Fuzhou, Fujian 350118, China)
出处
《福州大学学报（自然科学版）》
CAS
北大核心
2017年第5期687-691,共5页
Journal of Fuzhou University(Natural Science Edition)
基金
国家自然科学基金资助项目(51275092)
福建省自然科学基金资助项目(2015J05088)
福建省教育厅科研资助项目(JAT160322)
关键词
动力系统
参数匹配
优化设计
遗传算法
powertrain
parameters matching
optimal design
genetic algorithm
