Mohammadi Moradian Jamile, Ali Amjad, Yan Xuehua, Pei Gang, Zhang Shu, Naveed Ahmad, Shehzad Khurram, Shahnavaz Zohreh, Ahmad Farooq, Yousaf Balal
Institute for Advanced Materials, School of Materials Science and Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, 230027, People's Republic of China.
Nanomicro Lett. 2025 May 27;17(1):279. doi: 10.1007/s40820-025-01786-1.
Lithium-based batteries (LiBs) are integral components in operating electric vehicles to renewable energy systems and portable electronic devices, thanks to their unparalleled energy density, minimal self-discharge rates, and favorable cycle life. However, the inherent safety risks and performance degradation of LiB over time impose continuous monitoring facilitated by sophisticated battery management systems (BMS). This review comprehensively analyzes the current state of sensor technologies for smart LiBs, focusing on their advancements, opportunities, and potential challenges. Sensors are classified into two primary groups based on their application: safety monitoring and performance optimization. Safety monitoring sensors, including temperature, pressure, strain, gas, acoustic, and magnetic sensors, focus on detecting conditions that could lead to hazardous situations. Performance optimization sensors, such as optical-based and electrochemical-based, monitor factors such as state of charge and state of health, emphasizing operational efficiency and lifespan. The review also highlights the importance of integrating these sensors with advanced algorithms and control approaches to optimize charging and discharge cycles. Potential advancements driven by nanotechnology, wireless sensor networks, miniaturization, and machine learning algorithms are also discussed. However, challenges related to sensor miniaturization, power consumption, cost efficiency, and compatibility with existing BMS need to be addressed to fully realize the potential of LiB sensor technologies. This comprehensive review provides valuable insights into the current landscape and future directions of sensor innovations in smart LiBs, guiding further research and development efforts to enhance battery performance, reliability, and safety. Integration of advanced sensor technologies for smart LiBs: integrating non-optical multi-parameter, optical-based, and electrochemical sensors within the BMS to achieve higher safety, improved efficiency, early warning mechanisms, and TR prevention. Potential advancements are driven by nanotechnology, wireless sensor networks, miniaturization, and advanced algorithms, addressing key challenges to enhance battery performance and reliability.
锂基电池(LiBs)是电动汽车、可再生能源系统和便携式电子设备运行中不可或缺的组成部分,这得益于其无与伦比的能量密度、极低的自放电率和良好的循环寿命。然而,LiB固有的安全风险以及随着时间推移性能的下降,需要通过先进的电池管理系统(BMS)进行持续监测。本综述全面分析了智能LiB传感器技术的现状,重点关注其进展、机遇和潜在挑战。传感器根据其应用主要分为两类:安全监测和性能优化。安全监测传感器,包括温度、压力、应变、气体、声学和磁传感器,专注于检测可能导致危险情况的条件。性能优化传感器,如基于光学和基于电化学的传感器,监测诸如荷电状态和健康状态等因素,强调运行效率和寿命。该综述还强调了将这些传感器与先进算法和控制方法集成以优化充放电循环的重要性。还讨论了由纳米技术、无线传感器网络、小型化和机器学习算法推动的潜在进展。然而,要充分实现LiB传感器技术的潜力,需要解决与传感器小型化、功耗、成本效益以及与现有BMS的兼容性相关的挑战。这一全面综述为智能LiB传感器创新的当前状况和未来方向提供了有价值的见解,指导进一步的研发工作以提高电池性能、可靠性和安全性。智能LiB先进传感器技术的集成:在BMS中集成非光学多参数、基于光学和电化学传感器,以实现更高的安全性、更高的效率、预警机制和热失控预防。潜在进展由纳米技术、无线传感器网络、小型化和先进算法推动,应对关键挑战以提高电池性能和可靠性。