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基于遗传算法的汽车动力系统的多目标优化

Multi-objective Optimization of Automobile Powertrain Based on Genetic Algorithm

作者:CHANG Min;ZHU Hua 作者单位:Department of Fundamental Courses, Institute of Automobile Management, Bengbu,china,233011;;Department of Equipment Technology,Institute of Automobile Management, Bengbu,china, 233011 加工时间:2015-07-22 信息来源:科技报告(DE) 索取原文[4 页]
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摘 要: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 ADVISOR's accurate simulation with Genetic Algorithtn's searching optimization with high efficiency.
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