Enhanced model for prediction of heat generation in Li-ion pouch cells – A numerical and experimental study

IF 5.1 3区工程技术 Q2 ENERGY & FUELS

Thermal Science and Engineering Progress Pub Date : 2025-03-19 DOI:10.1016/j.tsep.2025.103503

Tuhin Maitra , Subham Mishra , Amit Patra , Anandaroop Bhattacharya

{"title":"Enhanced model for prediction of heat generation in Li-ion pouch cells – A numerical and experimental study","authors":"Tuhin Maitra , Subham Mishra , Amit Patra , Anandaroop Bhattacharya","doi":"10.1016/j.tsep.2025.103503","DOIUrl":null,"url":null,"abstract":"<div><div>The present study proposes an Enhanced Newman, Tiedemann, Gu, and Kim (NTGK) model for prediction of the performance parameters of a battery cell viz. the terminal voltage, depth of discharge (DoD), admittance and heat generation rate as a function of the discharge rate and temperature over a wide range of 1C–5C and 273 K–313 K, respectively. The enhanced model offers a significant advantage over the existing NTGK model by incorporating a current (C-rate) dependent term in the formulation of admittance. The enhanced parameters are used as inputs in ANSYS Fluent in order to estimate the heat generation rates in an A123 LFP-based pouch Li-ion battery cell under different operating temperatures and discharge rates. A comprehensive experimental data set has been obtained through carefully conducted experiments in an environmental chamber with heat flux measurements using high accuracy sensors. The numerical predictions are found to be in excellent agreement with the experimentally measured data over the entire range of C-rates and temperature with a maximum error of 6 %. This enables a more robust and versatile predictive modeling tool that extends the applicability of the NTGK model to lower and higher C-rates as well as low temperatures where the admittance of a battery is known to be appreciably impacted.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"61 ","pages":"Article 103503"},"PeriodicalIF":5.1000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thermal Science and Engineering Progress","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451904925002938","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}

引用次数: 0

Abstract

The present study proposes an Enhanced Newman, Tiedemann, Gu, and Kim (NTGK) model for prediction of the performance parameters of a battery cell viz. the terminal voltage, depth of discharge (DoD), admittance and heat generation rate as a function of the discharge rate and temperature over a wide range of 1C–5C and 273 K–313 K, respectively. The enhanced model offers a significant advantage over the existing NTGK model by incorporating a current (C-rate) dependent term in the formulation of admittance. The enhanced parameters are used as inputs in ANSYS Fluent in order to estimate the heat generation rates in an A123 LFP-based pouch Li-ion battery cell under different operating temperatures and discharge rates. A comprehensive experimental data set has been obtained through carefully conducted experiments in an environmental chamber with heat flux measurements using high accuracy sensors. The numerical predictions are found to be in excellent agreement with the experimentally measured data over the entire range of C-rates and temperature with a maximum error of 6 %. This enables a more robust and versatile predictive modeling tool that extends the applicability of the NTGK model to lower and higher C-rates as well as low temperatures where the admittance of a battery is known to be appreciably impacted.

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

Thermal Science and Engineering Progress Chemical Engineering-Fluid Flow and Transfer Processes

CiteScore

7.20

自引率

10.40%

发文量

327

审稿时长

41 days

期刊介绍： Thermal Science and Engineering Progress (TSEP) publishes original, high-quality research articles that span activities ranging from fundamental scientific research and discussion of the more controversial thermodynamic theories, to developments in thermal engineering that are in many instances examples of the way scientists and engineers are addressing the challenges facing a growing population – smart cities and global warming – maximising thermodynamic efficiencies and minimising all heat losses. It is intended that these will be of current relevance and interest to industry, academia and other practitioners. It is evident that many specialised journals in thermal and, to some extent, in fluid disciplines tend to focus on topics that can be classified as fundamental in nature, or are ‘applied’ and near-market. Thermal Science and Engineering Progress will bridge the gap between these two areas, allowing authors to make an easy choice, should they or a journal editor feel that their papers are ‘out of scope’ when considering other journals. The range of topics covered by Thermal Science and Engineering Progress addresses the rapid rate of development being made in thermal transfer processes as they affect traditional fields, and important growth in the topical research areas of aerospace, thermal biological and medical systems, electronics and nano-technologies, renewable energy systems, food production (including agriculture), and the need to minimise man-made thermal impacts on climate change. Review articles on appropriate topics for TSEP are encouraged, although until TSEP is fully established, these will be limited in number. Before submitting such articles, please contact one of the Editors, or a member of the Editorial Advisory Board with an outline of your proposal and your expertise in the area of your review.