A novel state-of-health notion and its use for battery aging monitoring of zinc-air batteries

IF 3.9 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers & Chemical Engineering Pub Date : 2023-10-14 DOI:10.1016/j.compchemeng.2023.108465

Woranunt Lao-atiman , Pornchai Bumroongsri , Sorin Olaru , Soorathep Kheawhom

{"title":"A novel state-of-health notion and its use for battery aging monitoring of zinc-air batteries","authors":"Woranunt Lao-atiman , Pornchai Bumroongsri , Sorin Olaru , Soorathep Kheawhom","doi":"10.1016/j.compchemeng.2023.108465","DOIUrl":null,"url":null,"abstract":"<div><p>Accurate monitoring of battery aging is pivotal for optimizing the performance of zinc-air batteries (ZABs). To obtain precise information about battery aging, an appropriate definition of state-of-health (SOH) is essential. However, the definition of SOH for ZABs has not been well-defined. This work introduces a novel SOH concept based on energy efficiency and integrates it with an underlying linear parameter varying (LPV) model. Crucially, the LPV model is chosen for its capability to represent nonlinear behavior, making it apt for capturing the intricacies of battery aging dynamics. With SOH defined as the scheduling parameter, electrochemical impedance spectroscopy (EIS) is employed to assess the influence of SOH. The results validate the model's robustness, as its predictions align closely with the empirical data. This newly proposed SOH definition exhibits a strong association with the model parameters. Furthermore, the efficacy of the LPV technique, especially when paired with the proposed SOH, suggests significant potential for refining battery aging monitoring in ZABs.</p></div>","PeriodicalId":286,"journal":{"name":"Computers & Chemical Engineering","volume":"180 ","pages":"Article 108465"},"PeriodicalIF":3.9000,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0098135423003356","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}

引用次数: 0

Abstract

Accurate monitoring of battery aging is pivotal for optimizing the performance of zinc-air batteries (ZABs). To obtain precise information about battery aging, an appropriate definition of state-of-health (SOH) is essential. However, the definition of SOH for ZABs has not been well-defined. This work introduces a novel SOH concept based on energy efficiency and integrates it with an underlying linear parameter varying (LPV) model. Crucially, the LPV model is chosen for its capability to represent nonlinear behavior, making it apt for capturing the intricacies of battery aging dynamics. With SOH defined as the scheduling parameter, electrochemical impedance spectroscopy (EIS) is employed to assess the influence of SOH. The results validate the model's robustness, as its predictions align closely with the empirical data. This newly proposed SOH definition exhibits a strong association with the model parameters. Furthermore, the efficacy of the LPV technique, especially when paired with the proposed SOH, suggests significant potential for refining battery aging monitoring in ZABs.

查看原文本刊更多论文

一种新的健康状态概念及其在锌-空气电池老化监测中的应用

准确监测电池老化对于优化锌空气电池（ZAB）的性能至关重要。为了获得有关电池老化的精确信息，健康状态（SOH）的适当定义至关重要。然而，ZAB SOH的定义尚未明确。这项工作引入了一个新的基于能源效率的SOH概念，并将其与底层的线性参数变化（LPV）模型相结合。至关重要的是，选择LPV模型是因为它能够表示非线性行为，使其易于捕捉电池老化动力学的复杂性。将SOH定义为调度参数，采用电化学阻抗谱（EIS）来评估SOH的影响。结果验证了该模型的稳健性，因为其预测与经验数据密切一致。这个新提出的SOH定义显示出与模型参数的强关联性。此外，LPV技术的有效性，特别是当与所提出的SOH配对时，表明了改进ZAB电池老化监测的巨大潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Computers & Chemical Engineering 工程技术-工程：化工

CiteScore

8.70

自引率

14.00%

发文量

374

审稿时长

70 days

期刊介绍： Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.