Parameter Optimization of Hydraulic Hybrid Vehicle Based on Genetic Algorithm

被引：1
|
作者：
Liu Tao [1 ]
Ju Xuezhen [1 ]
机构：
[1] Harbin Inst Technol, Weihai 264209, Peoples R China
来源：
APPLIED MECHANICS AND MECHANICAL ENGINEERING, PTS 1-3 | 2010年 / 29-32卷
关键词：
Automotive; Parameter optimization; Genetic Algorithm; Simulation;
D O I：
10.4028/www.scientific.net/AMM.29-32.1079
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The working principle of hydrostatic hybrid vehicles(HHV) is discussed. A number of factors affecting the efficiency of hydrostatic transmission hybrid system are discussed. The mathematical model is established by using braking energy recovery capacity, power, fuel economy and vehicle cost as objective function, system parameters are used as the independent variables, and the multi-objective optimization process is compiled in MATLAB. The process takes the genetic algorithm (GA) as the optimization method, obtains the best system parameters through computing, and verifies the accuracy of optimization results through simulation.
引用
收藏
页码：1079 / 1084
页数：6
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