基于灰色预测的混合动力系统ECMS能量管理策略研究  

Research of ECMS Energy Management Strategy of Hybrid System based on Grey Forecasting

作　　者：邓涛[1] 程栋[1] 周豪[1] 汪明明[1] 

机构地区：[1]重庆交通大学机电与车辆工程学院,重庆400074

出　　处：《机械传动》2017年第2期6-11,共6页Journal of Mechanical Transmission

基　　金：国家自然科学基金(51305473);中国博士后科学基金(2014M552317);重庆市基础与前沿研究计划项目(cstc2013jcyj A60007);重庆市教委科学技术研究项目(KJ120421);重庆市博士后研究人员科研项目(xm2014032)

摘　　要：为进一步提高HEV能量管理策略的燃油经济性以及在线实时优化的能力,建立灰色预测GM(1,1)模型对汽车速度实时预测,并将其与等效燃油消耗最小策略ECMS结合,提出基于灰色预测的混合动力汽车ECMS能量管理策略。建立整车仿真模型,并选取WVUCITY、WVUSUB、WVUINTER 3种不同工况进行能量管理仿真分析。结果表明,灰色预测对速度的预测精准度可靠;灰色预测与ECMS能量管理策略结合,可以使SOC值更加稳定,提高电池使用寿命;3种工况下采用灰色预测GM(1,1)模型的ECMS能量管理策略在同等条件下比普通ECMS能量管理策略燃油经济性分别提高7.4%、7.5%、6.3%。To further improve the fuel economy and online real-time optimization ability of energy management strategy for Hybrid Electric Vehicle（HEV）,the grey forecasting GM（1,1） model is established to forecast real-time vehicle speed,and then combined with Equivalent Consumption Minimization Strategy（ECMS） to be proposed HEV ECMS energy management strategy with grey forecasting method.Furthermore,the entire HEV simulation model is built,and the three different WVUCITY,WVUSUB and WVUINTER cycle is selected to simulate and analyze the effect of energy management.The simulation results show that,firstly,the precision of grey forecasting for speed is reliable.Secondly,the SOC will be more stable and battery has longer life by integrating grey forecasting and ECMS.Finally,the fuel economy is increased by 7.4%,7.5%,6.3%respectively through the proposed strategy,when compared with the non-forecasting method under the above three cycle.

关 键 词：HEV 灰色预测 ECMS 能量管理策略 仿真 

分 类 号：U469.7[机械工程—车辆工程]