中国机械工程2011，Vol.22Issue(14)：1754-1759,6.
基于遗传-蚁群算法的PHEB模糊控制策略优化
Optimization of Fuzzy Control Strategy for Parallel Hybrid Electric Bus Based on Genetic-ant Colony Algorithm
摘要
Abstract
For a kind of PHEB,a fuzzy controller was constructed by using the difference between the requested torque and optimal engine torque and taking the super capacitor state of charge as inputs,and the engine torque as the output.The membership functions and rules of fuzzy controller were optimized simultaneously by using genetic-ant colony algorithm.A simulation model of the fuzzy control strategy was established by MATLAB/Advisor.The performance of the optimized PHEB were simulated.The results show that the optimized fuzzy control strategy can meet the requirements of overall vehicle performance and the fuel consumption is reduced by 10.2% compared with the non-optimized PHEB.关键词
并联式混合动力客车（PHEB）/遗传-蚁群算法/模糊控制策略/优化Key words
parallel hybrid electric bus（PHEB）/genetic-ant colony algorithm/fuzzy control strategy/optimization分类
交通工程引用本文复制引用
尹安东,赵韩,张辉..基于遗传-蚁群算法的PHEB模糊控制策略优化[J].中国机械工程,2011,22(14):1754-1759,6.基金项目
国家高技术研究发展计划（863计划)资助重大项目（2008AA11A139) （）
