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

Published: 13 June 2023| Version 3 | DOI: 10.17632/7jdpxxmd5r.3
Contributors:
Jingyi Chen, Max Naylor-Marlow

Description

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: jingyi.chen12@imperial.ac.uk; jingyi.chen@breathe.technology Corresponding author for the journal article and Principle Investigator of the project: billy.wu@imperial.ac.uk

Files

Institutions

Imperial College London

Categories

Diagnostics, Design for Modeling Battery Degradation, Lithium Battery, Lithium Batteries State-of-Health

Funding

Innovate UK

BAFTA

Licence