Investigation on calendar experiment and failure mechanism of lithium-ion battery electrolyte leakage

Wang, Yubin; Zhang, Caiping; Hu, Jing; Zhang, Pengfei; Zhang, Linjing; Lao, Li

doi:10.1016/j.est.2022.105286

Cited by 23 publications

(9 citation statements)

References 41 publications

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“…The battery-positive terminal is made of nickel-plated steel. The observed co on the terminal can be attributed to the oxidation caused by HF acid, which is pr when the leaked electrolyte reacts with moisture from the environment [11]. The battery-positive terminal is made of nickel-plated steel.…”

Section: Optical Inspectionmentioning

confidence: 99%

“…One concern in cylindrical lithium-ion batteries is electrolyte leakage [8][9][10]. Loss of electrolyte can lead to batteries drying out, which can result in capacity reduction, performance degradation, and safety hazards [11]. The electrolyte in a lithium-ion battery enables the movement of lithium ions between the positive and negative electrodes during charging and discharging.…”

Section: Introductionmentioning

confidence: 99%

“…The electrolyte usually consists of lithium salts, organic solvents, and additives [12]. When the electrolyte leaks, in addition to deteriorating the battery's capacity and performance, the leaked electrolyte can react with the moisture in the air and generate hydrofluoric acid (HF), which can corrode the electrode's active materials [11].…”

Section: Introductionmentioning

confidence: 99%

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Electrolyte Leakage in Cylindrical Lithium-Ion Batteries Subjected to Temperature Cycling

Maddipatla,

Kong,

Pecht

2024

Energies

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In transportation and operation, lithium-ion batteries can be exposed to environments where the temperature exceeds 75 °C, compromising seal integrity and leading to electrolyte leakage and safety issues. Standards introduced by regulatory bodies require temperature testing, including temperature cycling tests. This study examines cylindrical battery electrolyte leakage due to temperature cycling between 25 °C and 80 °C through capacity tests, electrochemical impedance spectroscopy, computed tomography scans, and thermal analysis. Different thermal expansions among battery cap elements were identified as the cause of leakage. The thermal test parameters and requirements in the UN Manual of Tests and Criteria Section 38.3 were reviewed, revealing the 72 °C upper-temperature limit and the 24 h storage period after temperature cycling fail to effectively qualify lithium-ion batteries for real-world applications.

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Section: Optical Inspectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Electrolyte Leakage in Cylindrical Lithium-Ion Batteries Subjected to Temperature Cycling

Maddipatla,

Kong,

Pecht

2024

Energies

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show abstract

“…In EV use scenarios, LIBs spend the overwhelming majority of time in a resting state, undergoing calendar aging. Sources of calendar loss include SEI film growth, electrode active material dissolution, [ 105 ] electrolyte leakage, [ 106 ] etc. Temperature exerts a significant influence on the calendar aging process.…”

Section: Aging Mechanisms Of Libsmentioning

confidence: 99%

“…[115] Wang et al concluded that battery aging is substantially accelerated by the concurrent effects of high tempera-ture and high SOC, whereas the degradation effects of either high temperature or high SOC alone are negligible. [106]…”

Section: Soc Operating Intervalmentioning

confidence: 99%

Accurate Model Parameter Identification to Boost Precise Aging Prediction of Lithium‐Ion Batteries: A Review

Ding,

Li,

Dai

et al. 2023

Advanced Energy Materials

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Precise prediction of lithium‐ion cell level aging under various operating conditions is an imperative but challenging part of ensuring the quality performance of emerging applications such as electric vehicles and stationary energy storage systems. Accurate and real‐time battery‐aging prediction models, which require an exact understanding of the degradation mechanisms of battery components and materials, could in turn provide new insights for materials and battery basic research. Furthermore, the primary barrier to meaningful artificial intelligence/machine learning for accelerating the prediction period is the exploitation of accurate aging mechanistic descriptors. This review comprehensively summarizes the evolution of deterioration mechanisms at the material and cell level in different environments and usage scenarios, including the intricate relationships between aging mechanisms, degradation modes, and external influences, which are the cornerstones of modeling simulation and machine learning techniques. Recent advances in electrochemical models coupled with internal battery degradation mechanisms as well as identification and tracking of aging parameters are shown, with particular emphasis on electrode balance and the anticipated trend of machine learning‐assisted reliable remaining useful life prediction. Precise simulation prediction of cell level aging will continue to play an essential role in advanced smart battery research and management, enhancing its performance while shortening experimental sequences.

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Aging Mechanisms and Evolution Patterns of Commercial LiFePO4 Lithium-Ion Batteries

Yu,

Ma,

Xiao

et al. 2024

J. Electron. Mater.

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Investigation on calendar experiment and failure mechanism of lithium-ion battery electrolyte leakage

Cited by 23 publications

References 41 publications

Electrolyte Leakage in Cylindrical Lithium-Ion Batteries Subjected to Temperature Cycling

Electrolyte Leakage in Cylindrical Lithium-Ion Batteries Subjected to Temperature Cycling

Accurate Model Parameter Identification to Boost Precise Aging Prediction of Lithium‐Ion Batteries: A Review

Aging Mechanisms and Evolution Patterns of Commercial LiFePO4 Lithium-Ion Batteries

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