无接触电池传感:一项调查
Saravana Ram Srinivasan1, Pedro Callado de Paiva1, Aditi Dharmadhikari1
1College of Engineering and Computer Science, University of Michigan-Dearborn, Dearborn, MI 48128, USA.
Sensors (Basel, Switzerland)
|February 27, 2026
概括
无线电池管理系统为电动汽车和物联网设备的传统有线设计提供了一个可扩展的替代方案. 本综述涵盖了无线传感和机器学习方面的进展,以有效监测和诊断电池健康状况.
科学领域:
- 电气工程 电气工程
- 材料科学 材料科学 材料科学
- 计算机科学 计算机科学
背景情况:
- 对电动汽车 (EV),无线传感器网络 (WSN) 和物联网 (IoT) 设备的日益增长的需求需要有效的电池健康监测.
- 传统的有线电池管理系统 (BMS) 是昂贵的,缺乏可扩展性,容易发生故障.
- 新兴趋势侧重于无线,低功耗和非接触式替代品,以改善电池管理.
研究的目的:
- 审查新兴的传感解决方案和机器学习技术,以评估电池状态和健康状况.
- 检查无线电池管理系统 (WBMS) 从理论到原型的进展.
- 探索用于实时诊断的创新诊断方法和算法框架.
主要方法:
- 关于无线传感技术和用于电池监控的机器学习算法的当前文献的综述.
- 分析WBMS的进步,包括健康监测,循环跟踪,热管理和第二生命应用.
- 讨论如何将电化学阻抗光谱 (EIS) 和超声波传感与物联网和机器学习相结合.
主要成果:
- 确定关键的传感解决方案和机器学习技术,以准确估计电池状态和健康状况.
- 概述WBMS的进展情况,强调实际应用和理论框架.
- 探索结合先进传感和人工智能的综合诊断方法.
结论:
- 无线电池管理系统为现代能源存储需求提供了可行和可扩展的解决方案.
- 集成先进的传感 (EIS,超声波) 和机器学习对于智能,实时电池诊断至关重要.
- 在网络物理系统中部署智能无线电池监控存在重大研究机会.
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