Quantitative Incremental Capacity - Differential Voltage (IC-DV) diagnostics

This MATLAB app is for quantitative diagnostics of degradation in lithium batteries based on Incremental Capacity Analysis (ICA) and Differential Voltage Analysis (DVA). From the initial discharge curve and post-aged discharge curve, it calculates 1) loss of lithium inventory (LLI), 2) loss of active materials (LAM) in anode during lithiation, 3) LAM in anode during delithiation, 4) LAM in cathode during lithiation and 5) LAM in cathode during delithiation. To use the app, first run the peak locator app to identify peak positions and then input the peak positions in the IC-DV app.
Our journal article manuscript can be downloaded here: http://hdl.handle.net/10044/1/92598

Contact Us
For code inquiry: [e-mail]; [e-mail]
Corresponding author for the journal article and Principle Investigator of the project: [e-mail]

本MATLAB应用基于增量容量分析（Incremental Capacity Analysis，ICA）与微分电压分析（Differential Voltage Analysis，DVA），可实现锂离子电池衰减的定量诊断。该应用可依托初始放电曲线与老化后放电曲线，计算以下5项指标：1）锂存量损失（Loss of Lithium Inventory，LLI）；2）嵌锂过程中负极活性物质损失（Loss of Active Materials，LAM）；3）脱锂过程中负极活性物质损失；4）嵌锂过程中正极活性物质损失；5）脱锂过程中正极活性物质损失。
使用本应用前，请先运行峰定位应用以识别峰位，随后将峰位输入至IC-DV应用中。
本文相关期刊论文手稿可通过以下链接下载：http://hdl.handle.net/10044/1/92598

联系方式
代码咨询邮箱：[e-mail]；[e-mail]
期刊论文通讯作者及项目首席研究员邮箱：[e-mail]

搜集汇总

背景与挑战

背景概述

该数据集提供了一套MATLAB工具，用于通过增量容量和差分电压分析对锂电池退化进行定量诊断，包含应用程序、使用手册和示例数据，由英国帝国理工学院开发并获得Innovate UK资助。