Changhua Hu, Bowei Zhang, Mingzhe Leng, Zhaoqiang Wang, Zhanrong Zhou, Chuanyang Li, Yuqiang Chen, Leqiong Xie, Xuemei Li, Mingwei Gao, Li Wang, Yating Chang, Chi Xia, Xiangming He
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引用次数: 0
Abstract
Lithium‐ion batteries (LIBs) suffer from severe performance degradation at low temperatures, including capacity loss, increased impedance, and lithium plating, which hinder their application in electric vehicles and energy storage systems. This review systematically analyzes the underlying mechanisms of low‐temperature performance decay, focusing on hindered Li‐ion diffusion, electrolyte viscosity increase, and interfacial side reactions. Various heating strategies are categorized and evaluated, including active (alternating current(AC)/direct current(DC) pulse heating, convective/conductive heating) and passive (self‐heating structures) methods, highlighting their advantages and limitations. Key findings reveal that pulse heating achieves a rapid temperature rise (8.6 °C min−1) with minimal aging, while material modifications (e.g., anion‐rich solvation electrolytes) enhance interfacial stability. Furthermore, a multi‐objective optimization is proposed for heating parameters (temperature, time, state of charge(SOC)/state of health(SOH) adaptation) to balance efficiency, uniformity, and longevity. Smart heating systems integrating predictive control and sensor fusion demonstrate <0.5 °C error and 38% energy savings. Finally, future directions, emphasizing module‐level heating integration, waste heat recovery, and standardized safety protocols, are outlined. This work provides a comprehensive roadmap for overcoming low‐temperature challenges in LIBs, bridging fundamental research with practical applications.
锂离子电池(LIBs)在低温下会遭受严重的性能下降,包括容量损失、阻抗增加和锂镀层,这阻碍了它们在电动汽车和储能系统中的应用。本文系统地分析了低温性能衰减的潜在机制,重点是阻碍Li离子扩散,电解质粘度增加和界面副反应。对各种加热策略进行了分类和评估,包括主动(交流(AC)/直流(DC)脉冲加热,对流/导电加热)和被动(自加热结构)方法,并强调了它们的优点和局限性。关键发现表明,脉冲加热在最小老化的情况下实现了快速升温(8.6°C min - 1),而材料改性(例如,富含阴离子的溶剂化电解质)增强了界面稳定性。此外,提出了加热参数(温度、时间、荷电状态(SOC)/健康状态(SOH)适应)的多目标优化,以平衡效率、均匀性和寿命。集成预测控制和传感器融合的智能加热系统显示0.5°C误差和38%的节能。最后,概述了未来的发展方向,强调模块级加热集成,废热回收和标准化安全协议。这项工作为克服低温挑战提供了一个全面的路线图,将基础研究与实际应用联系起来。
期刊介绍:
Established in 2011, Advanced Energy Materials is an international, interdisciplinary, English-language journal that focuses on materials used in energy harvesting, conversion, and storage. It is regarded as a top-quality journal alongside Advanced Materials, Advanced Functional Materials, and Small.
With a 2022 Impact Factor of 27.8, Advanced Energy Materials is considered a prime source for the best energy-related research. The journal covers a wide range of topics in energy-related research, including organic and inorganic photovoltaics, batteries and supercapacitors, fuel cells, hydrogen generation and storage, thermoelectrics, water splitting and photocatalysis, solar fuels and thermosolar power, magnetocalorics, and piezoelectronics.
The readership of Advanced Energy Materials includes materials scientists, chemists, physicists, and engineers in both academia and industry. The journal is indexed in various databases and collections, such as Advanced Technologies & Aerospace Database, FIZ Karlsruhe, INSPEC (IET), Science Citation Index Expanded, Technology Collection, and Web of Science, among others.