A Study on Parameter Optimization of Parallel Hydraulic Hybrid Vehicle

摘要：

The parameter optimization for parallel hydraulic hybrid vehicle(PHHV) system has a significant impact on the vehicle dynamic performance, fuel economy and emission. In this article, several factors affecting system efficiency are used as the objective functions, system parameters are used as the independent variables, and the multi-objective optimization process is compiled in MATLAB. The process takes the ant colony algorithm as the optimization method, obtains the best system parameters through computing, and verifies the accuracy of optimization results through simulation.

关键词： Parameter optimization Ant colony algorithm Hydraulic hybrid vehicle Simulation

作者: Tao Liu Xiao-hui Zhang Wen-li Yang Guo-quan Fan Yun-fei Wang Ji-hai Jiang

作者单位: Harbin Institute of Technology, Weihai, 264209, China The State Key Laboratory of Fluid Power Transm R&D Center, China FAW Group Corporation, Changchun, 130011, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 4426-4429

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）