The dynamic failure mechanism of a lithium-ion battery at different impact velocity

Xi, Shoujun; Zhao, Qiancheng; Chang, Lijun; Huang, Xingyuan; Cai, Zhihua

doi:10.1016/j.engfailanal.2020.104747

Cited by 31 publications

(9 citation statements)

References 25 publications

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“…Previous studies have found that the deformation of the cell is more uniform throughout the model at quasistatic conditions, with local stress concentrations becoming more pronounced as the velocity increases. [15,37] At collision speeds above 10 m s À1 , the loaded end of the cell is the first to deform. As the velocity increases, the local stress concentration in the cell becomes more severe.…”

Section: Discussion 41 Effect Of the Holder On Module Deformation Pat...mentioning

confidence: 99%

“…To analyze the role of the battery holder in a real accident collision, compression experiments were carried out on the single cell, the battery holder, and the assembled module. According to the previous research method, [ 15 ] the loading rate was set to 1 mm min −1 in the experiment. To ensure the reliability of the experimental results, each experiment was repeated three times.…”

Section: Methodsmentioning

confidence: 99%

“…The results showed distinct linear, plateau, compaction, and fracture phases, a conclusion that was extensively verified as reasonable in previous studies. [15,16] The differences in the failure modes of the single cells led to different loading peaks. The overall trend was consistent across the three experiments and the experimental consistency was good.…”

Section: Single-cell Experimentsmentioning

confidence: 99%

“…[9][10][11][12] However, most battery safety incidents occur when a single cell is mechanically deformed. The research team has conducted mechanical experiments on cylindrical, [13][14][15][16][17] square, [18][19][20] and pouch [21][22][23][24][25][26] batteries to study their mechanical properties under static and dynamic conditions. Studies on battery modules are still rare given safety and experimental costs.…”

Section: Introductionmentioning

confidence: 99%

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Mechanical Response Analysis of Battery Modules Under Mechanical Load: Experimental Investigation and Simulation Analysis

Chang

Chen

et al. 2021

Energy Tech

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Lithium‐ion batteries are widely used in the automotive, military, and energy storage fields, and the crash safety of batteries has attracted widespread attention. Herein, mechanical experiments are first carried out on a battery module (consisting of 18 650 cylindrical cells connected in parallel) and its components. The loading rates of the circular plates in the experiments are 1, 5, and 10 mm min−1. Based on the experimental data, a finite‐element model of the module is developed and validated. The mechanical response of the module under static and dynamic conditions is then investigated through experiments and simulations. A parametric study is carried out to analyze the role played by the module holder in the mechanical response of the module. It is found that the presence of the module holder is effective in improving the distribution of the high‐pressure region under impact loading but causes a local increase in pressure peaks. This research work can provide a useful reference for the safe design of battery modules.

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Section: Discussion 41 Effect Of the Holder On Module Deformation Pat...mentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Single-cell Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mechanical Response Analysis of Battery Modules Under Mechanical Load: Experimental Investigation and Simulation Analysis

Chang

Chen

et al. 2021

Energy Tech

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“…When the electrode is compressed, the pores experience a certain degree of closure, resulting in a decrease in the passage rate of lithium ions and impacting the battery's capacity. In the study by Xi et al [43], it was also found that under dynamic loading, the resistance of the battery increases. This phenomenon has also been observed in studies [27,44].…”

Section: The Evolution Of Battery Capacity and Impedance Characterist...mentioning

confidence: 95%

Safety Performance and Failure Criteria of Lithium-Ion Batteries under Mechanical Abuse

Wang,

Guo,

Chen

et al. 2023

Energies

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With the increasing global focus on environmental issues, controlling carbon dioxide emissions has become an important global agenda. In this context, the development of new energy vehicles, such as electric vehicles, is flourishing. However, as a crucial power source for electric vehicles, the safety performance of lithium-ion batteries under mechanical abuse has drawn widespread attention. Evaluating the safety performance of lithium-ion batteries requires in-depth research. This paper provides a review of recent experimental and numerical simulation studies on the mechanical abuse of lithium-ion batteries. It showcases the main methods and conclusions of experimental research, compares different response forms under quasi-static and dynamic loading, discusses the causes of strain-rate dependence in lithium-ion batteries, and briefly describes the impact of the state of charge (SOC) on safety performance under mechanical abuse, as well as the influence of mechanical abuse on battery capacity and impedance characteristics. Furthermore, this paper summarizes the methods of numerical simulation research, analyzes the advantages and disadvantages of detailed modeling and homogenized modeling methods, summarizes the strain-based internal short circuit failure criteria, and reviews numerical predictive models based on multiphysics coupling. Finally, it presents the latest progress in studying the safety performance of battery packs through numerical simulations.

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Identification of Collision Simplified Model Parameters for Lithium‐Ion Batteries

Chen,

Yang,

Jing

et al. 2024

Energy Tech

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The crash analysis of complete electric vehicles demands high accuracy, speed, and modeling flexibility of the crash finite element analysis of single battery and battery packs. Herein, the crash analysis process is optimized using an artificial neural network (ANN) and a genetic algorithm (GA), and according to experimental conditions, working characteristic parameters of a single 18650 lithium‐ion battery, such as state of charge value and discharge mode are examined. It is combined with the beam elements of a simplified model of a five‐layer single 18650 battery, and the mechanical characteristic parameters are identified. The process comprises two parts: prediction of the mechanical properties of the battery cell from the operating characteristics of the single 18650 battery and the rapid solution of the simplified mechanical parameters of the beam elements from the mechanical properties of the battery. The accuracy of the prediction results of the ANN model reaches over 97%, and the fit between the simulation results of the GA identification parameters and the experimental results reaches over 95%. The identification parameters can make quick responses to the experimental results under different working conditions, which ground the application of the simplified beam element model in the battery packs.

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The dynamic failure mechanism of a lithium-ion battery at different impact velocity

Cited by 31 publications

References 25 publications

Mechanical Response Analysis of Battery Modules Under Mechanical Load: Experimental Investigation and Simulation Analysis

Mechanical Response Analysis of Battery Modules Under Mechanical Load: Experimental Investigation and Simulation Analysis

Safety Performance and Failure Criteria of Lithium-Ion Batteries under Mechanical Abuse

Identification of Collision Simplified Model Parameters for Lithium‐Ion Batteries

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