Multi-objective Optimization of Automobile Powertrain Based on Genetic Algorithm
Simulation model of automobile power train has been built using ADVISOR,on the basis of Genetic Algorithm Tool Box,the paper takes a mini car as example to carry out performance simulation calculation and power train parametric optimization design.The result show that automobile power performance and fuel economy and emission performance have been greatly improved The power train has great influence on automobile power performance and fuel economy and emission performance.It is an important approach to optimize its matching parameters on reducing the fuel wastage,improving dynamical performance and decreasing the emission of waste gas.Genetic Algorithm is kind of global searching and optimized algorithm which integrates the principles of biological evolution with optimization technology and computer technology.ADVISOR,advanced simulation software,was developed on the basis of MATLAB/Simulink and can rapidly analyze automobile power performance,fuel economy and emission performance.It is a better approach to cope with automobile power train match optimization by integrating ADVISORs accurate simulation with Genetic Algorithtns searching optimization with high efficiency.
genetic algorithm ADVISOR automotive power train multi-object optimization
CHANG Min ZHU Hua
Department of Fundamental Courses, Institute of Automobile Management, Bengbu,china,233011; Department of Equipment Technology,Institute of Automobile Management, Bengbu,china, 233011
国际会议
太原
英文
379-382
2013-03-22（万方平台首次上网日期，不代表论文的发表时间）