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使用电化学阻抗光谱学进行自动化电动汽车电池测试的先进机器人

Alireza Rastegarpanah^1,2,3, Cesar Alan Contreras¹, Mohamed Ahmeid^2,4

¹School of Metallurgy and Materials, University of Birmingham, Birmingham, United Kingdom.

Frontiers in robotics and AI

|January 27, 2025

概括

一个新的机器人系统自动化了电动汽车离子电池的电化学阻抗光谱 (EIS). 这种自动化测试提高了准确性和安全性,有助于电池诊断和回收.

科学领域:

机器人和自动化机器人与自动化
材料科学材料科学材料科学
电化学电化学电化学

背景情况:

电动汽车 (EV) 的采用需要可靠的方法来评估离子电池 (LIB) 的健康状况.
电化学阻抗光谱 (EIS) 是电池退化分析的一个关键的非侵入性技术.
在工业环境中自动化EIS测试存在重大挑战.

研究的目的:

开发和验证一个机器人框架,用于LIB的自动化EIS测试.
提高电池健康状况 (SoH) 诊断的效率和准确性.
为了促进工业规模的电池测试重复使用和回收利用.

主要方法:

一个KUKA KR20机器人手臂在铁路轨道上,配备了力/扭矩传感器和定制的手臂末端电位计 (EOAT).
共享控制系统允许自主,半自主和人类控制的操作.
接入控制器用于稳定的连接和优化的力应用;FEA用于EOAT验证.

主要成果:

机器人框架成功地确定了不同程度的LIB退化.
在降解的细胞中,测量的内部电阻高达1.5,与容量损失相关.
在多个LIB模块中实现了一致和可靠的EIS测试.

结论:

自动化机器人系统提高了电池诊断准确度和安全性,同时减少了人类干预.
这种方法可用于工业EIS测试,支持EV电池生命周期管理.
该框架有助于高效的电池再利用和回收过程.

关键词:

电动汽车电池电动汽车电池 EV电池离子电池回收的回收方式进入控制器进入控制器电化学阻抗光谱学电化学阻抗光谱学机器人拆卸机器人拆卸机器人

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