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作 者:Jun Chen Zhaodong Zhou Ziwei Zhou Xia Wang Boryann Liaw
机构地区:[1]Department of Electrical and Computer Engineering,Oakland University,Rochester,MI 48309,USA [2]Department of Mechanical Engineering,Oakland University,Rochester,MI 48309,USA [3]Idaho National Laboratory,Idaho Falls,ID 83415,USA
出 处:《Green Energy and Intelligent Transportation》2022年第3期73-80,共8页新能源与智能载运(英文)
摘 要:Due to manufacturing variation,battery cells often possess heterogeneous characteristics,leading to battery state-of-charge variation in real-time.Since the lowest cell state-of-charge determines the useful life of battery pack,such variation can negatively impact the battery performance and electric vehicles range.Existing research has been focused on control design to mitigate cell imbalance.However,it is yet unclear how much impacts the cell imbalance can have on electric vehicle range.This paper closes this knowledge gap by using a simulation environment consisting of real-world driving speed data,vehicle longitudinal control,propulsion and vehicle dynamics,and cell level battery modeling.In particular,each battery cell is modeled as an equivalent circuit model,and variations among cell parameters are introduced to assess their impact on electric vehicles range and to identify the most influential parameter variations.Simulation results and analysis can be used to assist balancing control design and to benchmark control performance.
关 键 词:Electric vehicles Battery range Cel imbalance Simulation
分 类 号:TM912[电气工程—电力电子与电力传动]
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