{"title":"基于非接触式电磁超声测试方法的电池状态鉴定","authors":"","doi":"10.1016/j.est.2024.113499","DOIUrl":null,"url":null,"abstract":"<div><p>Nondestructive ultrasonic detection technology has been increasingly applied to battery diagnostics. However, currently used ultrasonic transducers must be affixed to the tested battery very tightly through coupling agents, thereby lowering the test efficiency and convenience. In this paper, a contactless electromagnetic ultrasonic testing technology is proposed for characterizing the states of lithium-ion batteries. The relationship between the ultrasonic frequency and wave velocity is analyzed via a finite element model. Meanwhile, the influence of battery boundary characteristics on ultrasonic signals is investigated. Based on the propagation characteristics of ultrasonic guided waves in the battery, contactless electromagnetic acoustic transducers (EMATs) are designed and optimized. Three features, including the time of flight, signal amplitude, and energy integration, are extracted from the received signals to indicate the variation in battery state during charging and discharging cycles. Experimental results demonstrate that the ultrasonic guided wave features obtained from EMATs change consistently and regularly with the charging and discharging states of the battery. The proposed method can be used to analyze the aging of batteries and the inconsistency of electrolyte infiltration inside batteries, which is expected to improve the battery safety.</p></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":null,"pages":null},"PeriodicalIF":8.9000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Battery state characterization based on a contactless electromagnetic ultrasound testing method\",\"authors\":\"\",\"doi\":\"10.1016/j.est.2024.113499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Nondestructive ultrasonic detection technology has been increasingly applied to battery diagnostics. However, currently used ultrasonic transducers must be affixed to the tested battery very tightly through coupling agents, thereby lowering the test efficiency and convenience. In this paper, a contactless electromagnetic ultrasonic testing technology is proposed for characterizing the states of lithium-ion batteries. The relationship between the ultrasonic frequency and wave velocity is analyzed via a finite element model. Meanwhile, the influence of battery boundary characteristics on ultrasonic signals is investigated. Based on the propagation characteristics of ultrasonic guided waves in the battery, contactless electromagnetic acoustic transducers (EMATs) are designed and optimized. Three features, including the time of flight, signal amplitude, and energy integration, are extracted from the received signals to indicate the variation in battery state during charging and discharging cycles. Experimental results demonstrate that the ultrasonic guided wave features obtained from EMATs change consistently and regularly with the charging and discharging states of the battery. The proposed method can be used to analyze the aging of batteries and the inconsistency of electrolyte infiltration inside batteries, which is expected to improve the battery safety.</p></div>\",\"PeriodicalId\":15942,\"journal\":{\"name\":\"Journal of energy storage\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":8.9000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of energy storage\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352152X24030858\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of energy storage","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352152X24030858","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Battery state characterization based on a contactless electromagnetic ultrasound testing method
Nondestructive ultrasonic detection technology has been increasingly applied to battery diagnostics. However, currently used ultrasonic transducers must be affixed to the tested battery very tightly through coupling agents, thereby lowering the test efficiency and convenience. In this paper, a contactless electromagnetic ultrasonic testing technology is proposed for characterizing the states of lithium-ion batteries. The relationship between the ultrasonic frequency and wave velocity is analyzed via a finite element model. Meanwhile, the influence of battery boundary characteristics on ultrasonic signals is investigated. Based on the propagation characteristics of ultrasonic guided waves in the battery, contactless electromagnetic acoustic transducers (EMATs) are designed and optimized. Three features, including the time of flight, signal amplitude, and energy integration, are extracted from the received signals to indicate the variation in battery state during charging and discharging cycles. Experimental results demonstrate that the ultrasonic guided wave features obtained from EMATs change consistently and regularly with the charging and discharging states of the battery. The proposed method can be used to analyze the aging of batteries and the inconsistency of electrolyte infiltration inside batteries, which is expected to improve the battery safety.
期刊介绍:
Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.