摘要
基于iSight和ADVISOR联合仿真平台,采用自适应模拟退火算法对混合动力汽车的能量管理策略进行优化,主要对模糊控制策略的隶属度函数进行了优化,从而克服了基于专家经验进行参数选择的弊端。在ADVISOR中对UDDS工况进行了仿真对比。优化结果表明,所设计的模糊控制器和自适应模拟退火算法合理有效,车辆的燃油经济性和排放性得到了明显改善,同时,不会影响电池的寿命和车辆的动力性能。
Based on the iSight and ADVISOR simulation platform,the adaptive simulated annealing algorithm optimizes the energy management strategy of hybrid electric vehicles,and mainly optimizes the membership function of the fuzzy control strategy,thereby overcoming the disadvantages of parameter selection based on expert experience.The UDDS operating conditions are simulated in ADVISOR,and the optimization results show that the designed fuzzy controller and adaptive simulated annealing algorithm are reasonable and effective,and the fuel economy and emissions of the vehicle are significantly improved without affecting the battery life and vehicle performance.
作者
李文广
冯国胜
马俊长
Li Wenguang;Feng Guosheng;Ma Junchang(School of Traffic and Transportation,Shijiazhuang Tiedao University,Shijiazhuang City,Hebei Province,050043,China;Hebei YOGOMO Special Vehicle Manufacturing Co.,Ltd.,Xingtai City,Hebei Province 054800,China)
出处
《农业装备与车辆工程》
2021年第4期31-35,共5页
Agricultural Equipment & Vehicle Engineering
基金
河北省重大科技成果转化专项(18042211Z)
河北省研究生创新基金(CXZZBS2017136)。
关键词
模拟退火算法
能量管理
模糊控制
混合动力
simulated annealing approach
energy management
fuzzy control
hybrid
