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并联式混合动力汽车遗传模糊控制策略的研究
引用本文:杨世春,朱传高,高莹,李君.并联式混合动力汽车遗传模糊控制策略的研究[J].汽车工程,2011,33(2).
作者姓名:杨世春  朱传高  高莹  李君
作者单位:吉林大学,汽车动态模拟国家重点实验室,长春,130022
基金项目:囯家“863”计划项目(2006AA11A112)资助
摘    要:为带双离合器和单轴转矩耦合的某并联混合动力汽车开发了模糊控制策略,采用遗传算法对转矩分配模糊控制器进行了优化。在Matlab/Simulink和ADVISOR环境下基于试验数据建立了仿真模型,并进行了NEDC循环下只考虑经济性的控制策略优化和综合考虑经济性和排放性能的多目标控制策略优化。结果表明,应用遗传算法对模糊控制策略进行多目标优化后,油耗降低了3.65%,同时整车排放也有明显降低。

关 键 词:并联混合动力汽车  遗传算法  模糊控制  优化  

A Research on the Genetic-fuzzy Control Strategy for Parallel Hybrid Electric Vehicle
Yang Shichun,Zhu Chuangao,Gao Ying,Li Jun.A Research on the Genetic-fuzzy Control Strategy for Parallel Hybrid Electric Vehicle[J].Automotive Engineering,2011,33(2).
Authors:Yang Shichun  Zhu Chuangao  Gao Ying  Li Jun
Institution:Yang Shichun,Zhu Chuangao,Gao Ying & Li Jun Jilin University,State Key Laboratory of Automobile Dynamic Simulation,Changchun 130022
Abstract:A fuzzy control strategy is developed for a parallel hybrid electric vehicle with dual-clutch and single-axis torque coupling.Then the genetic algorithm(GA) is adopted to optimize the fuzzy control strategy for torque distribution.Specifically,a simulation model is built with Matlab/Simulink and ADVISOR based on test data,and the optimizations on control strategy with both single objective of fuel economy and multi-objectives of fuel economy and emission performance are conducted under NEDC driving cycle.Th...
Keywords:parallel hybrid electric vehicle  genetic algorithm  fuzzy control  optimization  
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