摘要
为了提高混合动力汽车的燃油经济性,研究了基于萤火虫算法(firefly algorithm,FA)优化的等效燃油消耗最小控制策略(equivalent fuel consumption minimization strategy,EFCMS).以并联式混合动力汽车为研究对象,运用萤火虫算法对等效燃油消耗最小控制策略的等效因子以及电池荷电状态(state of charge,SOC)进行优化,实现了并联式混合动力汽车的能量优化控制.在Matlab/Simulink中搭建整车模型进行仿真,结果表明:UDDS(urban dynamometer driving schedule)、NEDC(new European driving cycle)、HWFET(highway fuel economy test)这3种工况下,与优化前相比,节油率分别达到了28.6%、25.5%、16.9%;基于FA的等效燃油消耗最小控制策略相比于传统的等效燃油消耗最小控制策略,可以有效提高燃油经济性,电池SOC可以更好地维持在目标值附近.
To improve the fuel economy of hybrid electric vehicles(HEVs),an optimization of equivalent fuel consumption minimization strategy(EFCMS)was proposed based on firefly algorithm(FA).Taking the parallel hybrid electric vehicle as research object,the equivalent factor of EFCMS and the battery state of charge(SOC)were optimized by FA to realize the equivalent control.A whole vehicle model was established in Matlab/Simulink for simulation.The results show that compared with that before optimization,the fuel saving rates under three working conditions of urban dynamometer driving schedule(UDDS),new European driving cycle(NEDC)and highway fuel economy test(HWFET)can respectively reach 28.6%,25.5%and 16.9%.Compared with the traditional algorithms,the fuel consumption of the proposed EFCMS based on FA is effectively decreased,and the battery SOC can be well maintained near the target value.
作者
王文彬
田韶鹏
郑青星
罗毅
WANG Wenbin;TIAN Shaopeng;ZHENG Qingxing;LUO Yi(School of Automotive Engineering,Wuhan University of Technology,Wuhan,Hubei 430070,China;Hubei Collaborative Innovation Center for Automotive Components Technology,Wuhan University of Technology,Wuhan,Hubei 430070,China)
出处
《江苏大学学报（自然科学版）》
CAS
北大核心
2022年第2期147-153,共7页
Journal of Jiangsu University：Natural Science Edition
基金
国家“863”计划项目(2011AA11A260)
国家重点研发计划项目(2017YFB0103900)。
关键词
混合动力汽车
等效燃油消耗最小控制策略
萤火虫算法
能量管理
仿真
hybrid electric vehicles
equivalent fuel consumption minimization strategy
firefly algorithm
energy management
simulation
