Life prediction model and performance degradation of lithium-ion battery under different cut-off voltages

IF 3 4区材料科学 Q3 CHEMISTRY, PHYSICAL

Solid State Ionics Pub Date : 2025-02-01 DOI:10.1016/j.ssi.2024.116779

Pengju Lei , Yonglian Xiong , Chao Zhang , Ting Yi , Xing Qian

{"title":"Life prediction model and performance degradation of lithium-ion battery under different cut-off voltages","authors":"Pengju Lei , Yonglian Xiong , Chao Zhang , Ting Yi , Xing Qian","doi":"10.1016/j.ssi.2024.116779","DOIUrl":null,"url":null,"abstract":"<div><div>Battery lifetime prediction is critical to successfully introducing new products to the market, and a long testing time will affect the promotion of the product. In this paper, The prediction model of battery cycle life composed of cut-off voltages and state of health (SOH) is established based on an inverse power law equation to evaluate the NCM(811)battery. It is found that the capacity is more sensitive to the charge cut-off voltages (CCOV) than to the discharge cut-off voltages (DCOV). The capacity degrades to 67.3 % at 180th cycle in the range of 3–4.4 V, while it is 65.8 % at 380th cycle in the range of 2.5–4.2 V (the normal work voltage of battery is 3–4.2 V). The internal resistance and capacity degradation of the battery is analyzed by the incremental capacity curve and the hybrid pulse power characterization (HPPC) test. The error between prediction and measurement is less than 3 % within 400 cycles, and the model can predict the battery lifetime under different conditions (SOH, voltage). It helps to shorten the test time of new products and optimize the operating conditions of battery.</div></div>","PeriodicalId":431,"journal":{"name":"Solid State Ionics","volume":"420 ","pages":"Article 116779"},"PeriodicalIF":3.0000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Solid State Ionics","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167273824003278","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Battery lifetime prediction is critical to successfully introducing new products to the market, and a long testing time will affect the promotion of the product. In this paper, The prediction model of battery cycle life composed of cut-off voltages and state of health (SOH) is established based on an inverse power law equation to evaluate the NCM(811)battery. It is found that the capacity is more sensitive to the charge cut-off voltages (CCOV) than to the discharge cut-off voltages (DCOV). The capacity degrades to 67.3 % at 180th cycle in the range of 3–4.4 V, while it is 65.8 % at 380th cycle in the range of 2.5–4.2 V (the normal work voltage of battery is 3–4.2 V). The internal resistance and capacity degradation of the battery is analyzed by the incremental capacity curve and the hybrid pulse power characterization (HPPC) test. The error between prediction and measurement is less than 3 % within 400 cycles, and the model can predict the battery lifetime under different conditions (SOH, voltage). It helps to shorten the test time of new products and optimize the operating conditions of battery.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Solid State Ionics 物理-物理：凝聚态物理

CiteScore

6.10

自引率

3.10%

发文量

152

审稿时长

58 days

期刊介绍： This interdisciplinary journal is devoted to the physics, chemistry and materials science of diffusion, mass transport, and reactivity of solids. The major part of each issue is devoted to articles on: (i) physics and chemistry of defects in solids; (ii) reactions in and on solids, e.g. intercalation, corrosion, oxidation, sintering; (iii) ion transport measurements, mechanisms and theory; (iv) solid state electrochemistry; (v) ionically-electronically mixed conducting solids. Related technological applications are also included, provided their characteristics are interpreted in terms of the basic solid state properties. Review papers and relevant symposium proceedings are welcome.