Rapid prediction of electrolyte-based cell failure in retired Li-ion Electric Vehicle pouch cells

Attidekou, Pierrot S. (2026) Rapid prediction of electrolyte-based cell failure in retired Li-ion Electric Vehicle pouch cells.

Dataset Details

Data creator(s):

Creators	Email	ORCID
Attidekou, Pierrot S.	p.s.attidekou@bham.ac.uk	UNSPECIFIED

Research Data Type:

Dataset

DOI:

Publisher:

University of Birmingham

Funder:

Keywords:

Lithium-ion Battery, Electrochemical Impedance Spectroscopy, Warburg Coefficient, Knee Point Prediction, State of Health.

Managing organisational unit:

UoB School, Department or Institute:

School of Chemistry

Date:

3 February 2026

Project/Grant:	ReLiB ((FIRG005, FIRG027, FIRG057 & FIRG085)
Primary language:	English
Geographic coverage:	N/A
Data collection method:	N/A (Please see experimental section of "Rapid prediction of electrolyte-based cell failure in retired Li-ion Electric Vehicle pouch cells ")
Data processing and preparation activities:	N/A
Depositing User:	Sassou Attidekou
Date Deposited:	04 Feb 2026 11:00
Last Modified:	04 Feb 2026 11:00

Available Files

Data

Cycling_Dischar ... P1-and-CP2.xlsx

EIS dataset CP1 ... rious SOCs.xlsx

EIS dataset CP2 ... rious SOCs.xlsx

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Rapid prediction of electrolyte-based cell failure in retired Li-ion Electric Vehicle pouch cells. (deposited 04 Feb 2026 11:00) [Currently Displayed]

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