Sensing-based monitoring systems for electric vehicle battery – A review

Ferdous Irtiaz Khan, Md Moinul Hossain, Gang Lu
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Abstract

The swift uptake of Electric Vehicles (EVs) has increased the demand for improved Battery Management Systems (BMS) to ensure the safety, efficiency, and durability of lithium-ion batteries. This review explores the current advancements in EV battery monitoring technologies, with a focus on sensing mechanisms that estimate critical parameters such as battery states and thermal conditions. Various sensor technologies, including image-based methods, acoustic sensing, force sensors, thermal sensors, magnetic probing and optical sensors, are reviewed and discussed, highlighting their advantages, limitations, and suitability for practical applications. Additionally, gaps and challenges within the field are identified, including cell-level sensing, onboard monitoring, data acquisition mechanism, fault diagnostics and the application of sensors for internal analysis. These challenges underscore the necessity of developing scalable, non-invasive, and cost-effective solutions.

Abstract Image

基于传感的电动汽车电池监测系统综述
电动汽车(ev)的迅速普及增加了对改进电池管理系统(BMS)的需求,以确保锂离子电池的安全性、效率和耐用性。本文探讨了电动汽车电池监测技术的最新进展,重点介绍了用于估计电池状态和热条件等关键参数的传感机制。各种传感器技术,包括基于图像的方法,声学传感,力传感器,热传感器,磁探测和光学传感器,进行了回顾和讨论,突出了它们的优点,局限性,并适合于实际应用。此外,还指出了该领域的差距和挑战,包括细胞级传感、车载监测、数据采集机制、故障诊断以及传感器在内部分析中的应用。这些挑战强调了开发可扩展、非侵入性和具有成本效益的解决方案的必要性。
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