Failure modes, safety concerns, testing protocol, and advancement in lithium-ion battery technology

Mohammad Waseem , Kotha Shashidhar Reddy , T. Ramamohan Rao , Mohd Suhaib , Mumtaz Ahmad Khan
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Abstract

Lithium-ion batteries (LIBs) play a pivotal role in electric vehicle (EV) technology due to their high energy density and efficiency. However, their vulnerability to thermal runaway, fire, and explosion remains a major barrier to widespread adoption. This study addresses the lack of integrated analysis by reviewing current research trends in LIBs, advancements in EV applications, common failure modes, safety concerns, testing protocols, and AI/ML-based safety enhancements. While previous studies have often treated these aspects separately, this paper consolidates critical issues such as overcharging, mechanical wear, separator degradation, lithium plating, and electrolyte breakdown, alongside safety testing standards like thermal, penetration, and crushing tests. It further explores emerging innovations including risk-free electrolyte chemistries, stabilized electrode interfaces, and phase change materials for thermal management. The novelty lies in its multidimensional approach, linking material degradation, diagnostics, and sustainability. The review concludes that integrating predictive AI models, improving material robustness, and adopting stringent safety protocols are essential to mitigating LIB risks and ensuring safer, more sustainable EV deployment.
失效模式,安全问题,测试协议,以及锂离子电池技术的进步
锂离子电池以其高能量密度和高能效在电动汽车技术中发挥着举足轻重的作用。然而,它们对热失控、火灾和爆炸的脆弱性仍然是广泛采用的主要障碍。本研究通过回顾当前lib的研究趋势、电动汽车应用的进展、常见故障模式、安全问题、测试协议以及基于AI/ ml的安全增强,解决了缺乏综合分析的问题。虽然之前的研究通常将这些方面分开处理,但本文将过度充电、机械磨损、分离器降解、锂电镀和电解质击穿等关键问题与热、穿透和破碎测试等安全测试标准结合起来。它进一步探索了新兴的创新,包括无风险的电解质化学,稳定的电极界面和用于热管理的相变材料。新颖之处在于它的多维方法,将材料降解、诊断和可持续性联系起来。该综述得出结论,集成预测人工智能模型、提高材料稳健性和采用严格的安全协议对于降低LIB风险和确保更安全、更可持续的电动汽车部署至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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