Research prospect on reliability of Li-ion battery packs under coupling of multiple physical fields

doi:10.19799/j.cnki.2095-4239.2021.0644

Abstract

Abstract:

Recently, Li-ion battery safety accidents in the fields of energy storage and electric cars have become more common.The study of failure mechanisms and the improvement of lithium-ion battery safety and dependability has become a research hotspot. The failure behaviors of a lithium-ion battery are of various forms, greatly hazardous, and complex to assess and detect. Traditional failure mechanism analysis methods destroy and disassemble the battery, making it impossible to adequately characterize and forecast a safety mishap. It is thought to be a more scientific and effective approach to analyzing the possibility of an accident with the Li-ion battery or pack's reliability. However, the research on battery pack reliability has just started, and there are some shortcomings, such as the coupling of multiple physical fields cannot be considered, and the analysis error is large. The reliability analysis meaning of Li-ion batteries is first explained in this study, followed by current research progress and existing challenges of reliability modeling and analysis methodologies. The multi-physical field coupling reliability research approach for lithium-ion battery packs is given. The current issues and challenges are examined in depth, and a battery failure analysis technique is proposed by merging the level by level retrospective analysis method based on Bayesian theory with a multiple physical fields coupling model.

Key words: Li-ion battery pack, safety failure, reliability, coupling of multiple physical fields

CLC Number:

TM 911

Long CHEN, Quan XIA, Yi REN, Gaoping CAO, Jingyi QIU, Hao ZHANG. Research prospect on reliability of Li-ion battery packs under coupling of multiple physical fields[J]. Energy Storage Science and Technology, 2022, 11(7): 2316-2323.

Figures/Tables 5

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Table 1

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研究者	电	化学	热	流	研究内容和成果
Chen等^[26]	√		√		等效热导率简化，散热过程
杨志刚等^[27]			√	√	电池组散热优化设计
Sun等^[28]	√		√		温度场
Liu等^[29]			√	√	流阻网络模型和瞬态传热模型
Fathabadi等^[30]	√		√	√	自然对流条件下的热行为
Severino等^[31]			√	√	电池组构型的优化设计
Bruen等^[32]	√				电压和SOC不一致性的影响
Saw等^[33]			√	√	SST湍流模型
Torchio等^[34]	√	√			电池组优化设计和matlab程序框架
罗伟林等^[35]	√	√			磷酸铁锂电池组热仿真、热物性参数辨识
李望^[36]等	√		√	√	锂离子电池组冷却系统热流仿真与设计

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