| 基于自适应模拟退火算法的HEV能量管理优化 |
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| 引用本文： | 李文广,冯国胜,马俊长.基于自适应模拟退火算法的HEV能量管理优化[J].农业装备与车辆工程,2021(4):31-35. |
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| 作者姓名： | 李文广 冯国胜 马俊长 |
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| 作者单位： | 石家庄铁道大学交通运输学院;河北御捷车业有限公司 |
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| 基金项目： | 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)。 |
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| 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。
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| 关 键 词： | 模拟退火算法 能量管理 模糊控制 混合动力 |
Optimization of HEV Energy Management Based on Adaptive Simulated Annealing Algorithm |
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| Li Wenguang,Feng Guosheng,Ma Junchang.Optimization of HEV Energy Management Based on Adaptive Simulated Annealing Algorithm[J].Agricultural Equipment & Vehicle Engineering,2021(4):31-35. |
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| Authors: | Li Wenguang Feng Guosheng Ma Junchang |
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| Institution: | (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) |
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| Abstract: | 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. |
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| Keywords: | simulated annealing approach energy management fuzzy control hybrid |
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