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作 者:丁磊 吴一滔 刘永刚[2] 黄真 陈富强 曾航 DING Lei;WU Yitao;LIU Yonggang;HUANG Zhen;CHEN Fuqiang;ZENG Hang(Dongfeng Liuzhou Motor Co.,Ltd.,Liuzhou 545005,China;State Key Laboratory of Mechanical Transmissions,Chongqing University,Chongqing 400044,China)
机构地区:[1]东风柳州汽车有限公司,广西柳州545005 [2]重庆大学机械传动国家重点实验室,重庆400044
出 处:《重庆理工大学学报(自然科学)》2023年第5期37-43,共7页Journal of Chongqing University of Technology:Natural Science
基 金:国家自然科学基金项目(52172400)。
摘 要:针对某款串并联式混合动力汽车开发了基于人工标定的逻辑门限规则能量管理策略,以标定逻辑门限规则为基础利用动态规划算法对整车最优控制进行寻优,根据最优策略数据集对所提逻辑门限策略进行优化,对搭载优化逻辑门限规则能量管理策略的混合动力汽车进行了实车实验。结果表明,所开发的优化能量管理策略具有较好的节油效果,优化后的控制策略节油效果可提升4.7%,有效提高了燃油经济性,满足整车控制实时性要求,可为后续混合动力汽车产品开发提供技术支持。This paper firstly proposes a rule-based logic threshold energy management strategy developed by manual calibration for a series-parallel hybrid electric vehicle.On the basis of the calibrated logic threshold,the dynamic programming algorithm is then introduced to optimize the vehicle optimal control,and the proposed logic threshold strategy is further optimized according to the optimal strategy data set.Finally,a real vehicle experiment is carried out on a hybrid electric vehicle equipped with an energy management strategy based on optimized logic threshold rules.The experimental results show that the optimized energy management strategy has a good fuel saving effect,and an improvement of 4.7%in fuel saving can be reached,which effectively improves fuel economy and meets the real-time requirements of the vehicle control,providing technical support for the subsequent product development of hybrid electric vehicles.
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