A Review of Non-Destructive Techniques for Lithium-Ion Battery Performance Analysis

IF 2.6 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Ximena Carolina Acaro Chacón, Stefano Laureti, Marco Ricci, Gregorio Cappuccino
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引用次数: 0

Abstract

Lithium-ion batteries are considered the most suitable option for powering electric vehicles in modern transportation systems due to their high energy density, high energy efficiency, long cycle life, and low weight. Nonetheless, several safety concerns and their tendency to lose charge over time demand methods capable of determining their state of health accurately, as well as estimating a range of relevant parameters in order to ensure their safe and efficient use. In this framework, non-destructive inspection methods play a fundamental role in assessing the condition of lithium-ion batteries, allowing for their thorough examination without causing any damage. This aspect is particularly crucial when batteries are exploited in critical applications and when evaluating the potential second life usage of the cells. This review explores various non-destructive methods for evaluating lithium batteries, i.e., electrochemical impedance spectroscopy, infrared thermography, X-ray computed tomography and ultrasonic testing, considers and compares several aspects such as sensitivity, flexibility, accuracy, complexity, industrial applicability, and cost. Hence, this work aims at providing academic and industrial professionals with a tool for choosing the most appropriate methodology for a given application.
锂离子电池性能无损分析技术综述
锂离子电池因其高能量密度、高能效、长循环寿命和轻重量被认为是现代交通系统中为电动汽车提供动力的最合适选择。尽管如此,一些安全问题及其随着时间的推移失去效力的趋势要求能够准确确定其健康状况的方法,以及估计一系列相关参数的方法,以确保其安全和有效地使用。在这个框架下,无损检测方法在评估锂离子电池的状况方面发挥着重要作用,可以在不造成任何损坏的情况下对其进行彻底检查。当电池被用于关键应用和评估电池潜在的二次使用寿命时,这一点尤为重要。本文探讨了各种无损评价锂电池的方法,即电化学阻抗谱、红外热成像、x射线计算机断层扫描和超声波检测,并考虑和比较了灵敏度、灵活性、准确性、复杂性、工业适用性和成本等几个方面。因此,这项工作旨在为学术和工业专业人员提供一个工具,为给定的应用程序选择最合适的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
World Electric Vehicle Journal
World Electric Vehicle Journal Engineering-Automotive Engineering
CiteScore
4.50
自引率
8.70%
发文量
196
审稿时长
8 weeks
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