Coupling Effect of State-of-Health and State-of-Charge on the Mechanical Integrity of Lithium-Ion Batteries

Xu, Jun; Jia, Yikai; Liu, B.; Zhao, Hui; Yu, Huili; Li, J.; Yin, Sha

doi:10.1007/s11340-018-0380-9

Cited by 74 publications

(22 citation statements)

References 52 publications

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“…Hao et al studied the influence of different indenter sizes on the mechanical behaviors of batteries by combining theory with experiment. Xu et al tested batteries with different SOC and found that SOC had a significant effect on the mechanical properties of batteries. The higher SOC, the greater its stiffness.…”

Section: Introductionmentioning

confidence: 99%

Dynamic mechanical behavior of prismatic lithium‐ion battery upon impact

et al. 2019

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Summary Dynamic impact safety of lithium‐ion batteries (LIBs) is a hot subject. The mechanical‐electrical behavior of LIBs under dynamic loading was studied in this study. Drop‐weight tests of two types of indenter, namely, round and flat heads, were conducted. Strain rate and state of charge (SOC) effects on the mechanical properties of LIBs under different indenters were fully discussed. The interaction between mechanical performance and electrical behavior was studied. Experiments show that the structural stiffness of batteries increases with strain rate increase but exhibits little effect from SOC. Different indenters have a significant influence on the mechanical behavior of the prismatic LIBs. Under the same impact rate and SOC, the peak load of a flat head is considerably larger than that of a round head. The battery exhibits a hard short‐circuit under the impact of a round head and a soft short‐circuit under the impact of a flat head. This result shows that the larger the contact area between the indenter and the battery is, the larger the impact load under the same drop‐weight and impact rate will be, although the impact safety of the battery does not decrease. The results provide useful insights into the basic understanding of the electromechanical coupling integrity of LIBs.

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Section: Introductionmentioning

confidence: 99%

Dynamic mechanical behavior of prismatic lithium‐ion battery upon impact

et al. 2019

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“…Various typical mechanical abusive tests have been designed, including compression, [ 7c,10 ] indentation, [ 7a,c,11 ] bending, [ 7a,11c,d ] and nail penetration [ 4b,12 ] to evaluate the battery safety behaviors. The mechanical and electrochemical behaviors of the batteries were characterized by recorded loading forces, open‐circuit voltages, and surface temperatures in time history.…”

Section: Introductionmentioning

confidence: 99%

Data‐Driven Safety Risk Prediction of Lithium‐Ion Battery

Jia

Yuan

et al. 2021

Advanced Energy Materials

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Inevitable safety issues have pushed battery engineers to become more conservative in battery system design; however, battery‐involved accidents still frequently are reported in headlines. Identifying, understanding, and predicting safety risks have become priorities to further accelerate technology and industry development. However, diverse loading scenarios, significantly varied stress‐induced short circuit mechanisms, and highly coupled mechanical–electrochemical safety behaviors have remained grand challenges. Herein, the safety risk is termed as the probability of the mechanical triggering of an internal short circuit, to reflect the safety related behaviors of lithium‐ion batteries. Based on a mechanical model and experimental results, a sufficient dataset is generated consisting of strain states and their corresponding safety risks, covering both cylindrical and pouch cells, various states of charges, and loading conditions. Machine‐learning tools combined with the established finite element mechanical model are applied to predict the safety risks of the cells. The results achieve a high level of accuracy on the test data (the relative error of the average short circuit prediction deviation is less than 6.2%.). This work underpins the safety risk concept and highlights the promise of physics combined with data‐driven modeling methodology to predict the safety behaviors of energy storage systems.

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“…Study on mechanical behavior of battery mainly focuses on cylindrical LIBs. Compression, [20][21][22][23][24] indentation, 25,26 bending, 27,28 and penetration 29 experiments have been designed for cylindrical LIBs. At the same time, finite element models (FEMs) have been established to calculate the mechanical behavior and internal short circuit trigger of LIBs under mechanical loadings.…”

Section: Introductionmentioning

confidence: 99%

Dynamic behavior and modeling of prismatic lithium‐ion battery

et al. 2020

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Summary The inevitable vehicle collision has made the safety of lithium‐ion battery (LIB) carried by electric vehicles (EVs) a problem that restricts the further and large‐scale promotion of EVs. Therefore, establishing the numerical mechanics model of LIBs and studying their mechanical integrity are imperative. In this study, we design indentation, compression, and drop‐weight experiments for prismatic LIBs (PLIBs). Mechanical integrity and internal short circuit are analyzed in consideration of state of charge (SOC) and dynamic effects. A homogeneous PLIB model that considers anisotropic property, SOC, and dynamic effects is developed for the first time for application in different loading conditions. After its effectiveness is validated, the affecting parameters (ie, SOC and impact velocity) of the mechanical behaviors during dynamic loadings are investigated using the established model. The results show that strain rate effect and SOC state have impact on the mechanical properties of PLIB. However, the strain rate effect has much larger influence than the SOC state. Results may shed lights on the safety design of PLIBs in a mechanical aspect.

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Coupling Effect of State-of-Health and State-of-Charge on the Mechanical Integrity of Lithium-Ion Batteries

Cited by 74 publications

References 52 publications

Dynamic mechanical behavior of prismatic lithium‐ion battery upon impact

Dynamic mechanical behavior of prismatic lithium‐ion battery upon impact

Data‐Driven Safety Risk Prediction of Lithium‐Ion Battery

Dynamic behavior and modeling of prismatic lithium‐ion battery

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