摘要
以增程式燃料电池混合动力SUV为研究对象,以优化电池充放电状态、燃料电池工作效率以及增加整车续驶里程为目标,开展基于模糊逻辑的能量管理策略优化研究。基于Simulink/AMESim联合仿真平台搭建了整车及能量管理系统模型,进行了一种前向能量流仿真计算,验证了策略动力性,同时对比分析了恒温器控制策略及基于模糊逻辑的恒温器控制策略在各工况下的充放电状态、燃料电池工作效率及续驶里程。结果表明:在满足动力性指标的前提下,基于模糊逻辑的恒温器控制策略能有效改善电池充放电状态,优化燃料电池工作效率,增加整车续驶里程。在NEDC、WLTC及CLTC-P标准循环工况下,燃料电池工作效率平均提升15.6%,续驶里程分别提升4.99%、5.08%、4.72%。
Taking the extended-range fuel cell hybrid SUV as the research object,aiming at optimization of the battery charging and discharging status,fuel cell(FC,Fuel cell)work efficiency,and increasing vehicle driving range,the research of energy management strategy optimization based on fuzzy logic has been carried out.Based on the Simulink/AMESim co-simulation platform,the vehicle and energy management system(EMS)model is built.A kind of forward energy flow simulation calculation is carried out,which verifies the dynamics of the strategy.The charging and discharging state of the battery,FC working efficiency and driving range of Thermostatic Control Strategy(TCS)and TCS based on fuzzy logic(FTCS)under various conditions are compared and analyzed.The results show that the FTCS can effectively improve the charging and discharging state of the battery,optimize the working efficiency of the FC,and increase the driving range of the vehicle under the premise of meeting the power performance.Under NEDC,WLTC and CLTC-P standard cycle conditions,the FC working efficiency is increased by 15.6%on average,and the driving ranges are increased by 4.99%,5.08%,and 4.72%respectively.
作者
贾和坤
唐捷旭
陈金柯
孙闫
解玄
张超
JIA Hekun;TANG Jiexu;CHEN Jinke;SUN Yan;XIE Xuan;ZHANG Chao(School of Automotive and Transportation Engineering, Jiangsu University, Zhenjiang 212013, China;Foresight Energy Co. , Ltd. , Suzhou 215000, China)
出处
《重庆理工大学学报（自然科学）》
北大核心
2021年第9期17-24,共8页
Journal of Chongqing University of Technology：Natural Science
基金
江苏省产业前瞻与关键核心技术——重点项目(BE2019006-3)。
