插电式气电混合动力客车控制策略优化  

Optimization of control strategy for plug-in gas-electric hybrid bus based on genetic algorithm

作　　者：何锋[1] 李欢[1] 吴海波[1] 蒋雪生 

机构地区：[1]贵州大学机械工程学院,贵州贵阳550025 [2]奇瑞万达贵州客车股份有限公司,贵州贵阳550025

出　　处：《电源技术》2016年第7期1444-1445,1512,共3页Chinese Journal of Power Sources

基　　金：贵阳市工业振兴科技计划项目[筑科合同(2012401)11号];贵州省工业攻关项目[黔科合GZ字(2013)3003]

摘　　要：根据模糊控制理论,建立了插电式气电混合动力客车模糊控制策略,并基于遗传算法对模糊控制系统存在主观随意性的问题,以百公里燃气消耗量和NO_x排放量为优化目标,利用ADVISOR的非GUI函数和遗传算法工具对模糊控制器的隶属度函数进行了优化。结果表明百公里耗气量降低了11.3%,NO_x排放降低了7.2%,动力性能显著提高。According to fuzzy control theory, the fuzzy control strategy of plug-in gas-electric hybrid bus was established. Based on genetic algorithm, aiming at the presence of subjective arbitrariness problem of fuzzy control system, with one hundred kilometers fuel consumption and NOx emissions as the optimization goal, using ADVISOR non-GUI function and the genetic algorithm tool, fuzzy controller＇s membership function was optimized. Results show that one hundred kilometers fuel consumption is reduced by 11.3%; NOx emission is reduced by 7.2%; the dynamic performance is improved significantly.

关 键 词：遗传算法 模糊控制 插电式气电混合动力客车 LNG 优化 

分 类 号：TM912[电气工程—电力电子与电力传动]