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作 者:Hui Pang Wenzhi Nan Xiaofei Liu Fengbin Wang Kaiqiang Chen Yupeng Chen
机构地区:[1]School of Mechanical and Precision Instrument Engineering,Xi'an University of Technology,Xi'an 710048,China [2]Takushoku University,Japan
出 处:《Green Energy and Intelligent Transportation》2024年第3期63-74,共12页新能源与智能载运(英文)
基 金:supported by the Artificial intelligence technology project of Xi'an Science and Technology Bureau(No.21RGZN0014).
摘 要:It is well acknowledged to all that an active equalization strategy can overcome the inconsistency of lithium-ion cell's voltage and state of charge(SOC)in series-connected lithium-ion battery(LIB)pack in the electric vehicle application.In this regard,a novel dual threshold trigger mechanism based active equalization strategy(DTTMbased AES)is proposed to overcome the inherent inconsistency of cells and to improve the equalization efficiency for a series-connected LIB pack.First,a modified dual-layer inductor equalization circuit is constructed to make it possible for the energy transfer path optimization.Next,based on the designed dual threshold trigger mechanism provoked by battery voltage and SOC,an active equalization strategy is proposed,each single cell's SOC in the battery packs is estimated using the extended Kalman particle filter algorithm.Besides,on the basis of the modified equalization circuit,the improved particle swarm optimization is adopted to optimize the energy transfer path with aiming to reduce the equalization time.Lastly,the simulation and experimental results are provided to validate the proposed DTTM-based AES.
关 键 词:Active equalization strategy Extend Kalman particle filter Modified equalization circuit Improved particle swarm optimization State of charge difference trigger Voltage difference trigger
分 类 号:TM912[电气工程—电力电子与电力传动]
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