首页|Mechanisms for the evolution of cell-to-cell variations and their impacts on fast-charging performance within a lithium-ion battery pack

Mechanisms for the evolution of cell-to-cell variations and their impacts on fast-charging performance within a lithium-ion battery pack

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Cell-to-cell variations(CtCV)compromise the electrochemical performance of battery packs,yet the evo-lutional mechanism and quantitative impacts of CtCV on the pack's fast-charging performance remain unexplored.This knowledge gap is vital for the proliferation of electric vehicles.This study underlies the relationship between CtCV and charging performance by assessing the pack's charge speed,final elec-tric quantity,and temperature consistency.Cell variations and pack status are depicted using 2D param-eter diagrams,and an mPnS configured pack model is built upon a decomposed electrode cell model.Variations in three single electric parameters,i.e.,capacity(Q),electric quantity(E),and internal resis-tance(R),and their dual interactions,i.e.,E-Q and R-Q,are analyzed carefully.The results indicate that Q variations predominantly affect the final electric quantity of the pack,while R variations impact the charge speed most.With incremental variances in cell parameters,the pack's fast-charging capability first declines linearly and then deteriorates sharply as variations intensify.This research elucidates the correlations between pack charging capabilities and cell variations,providing essential insights for opti-mizing cell sorting and assembly,battery management design,and charging protocol development for battery packs.

Lithium-ion batteryBattery packCell-to-cell variationFast chargingPerformance evaluation

Yufang Lu、Xiaoru Chen、Xuebing Han、Dongxu Guo、Yu Wang、Xuning Feng、Minggao Ouyang

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State Key Laboratory of Intelligent Green Vehicle and Mobility,School of Vehicle and Mobility,Tsinghua University,Beijing 100084,China

Research Institute of Tsinghua University in Shenzhen,Shenzhen 518057,Guangdong,China

Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology,Department of Chemical Engineering,Tsinghua University,Beijing 100084,China

2024

能源化学
中国科学院大连化学物理研究所 中国科学院成都有机化学研究所

能源化学

CSTPCDEI
影响因子:0.654
ISSN:2095-4956
年,卷(期):2024.99(12)