elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Incremental Capacity Analysis as a State of Health Estimation Method for Lithium-Ion Battery Modules with Series-Connected Cells

Krupp, Amelie and Ferg, Ernst E. and Schuldt, Frank and Derendorf, Karen and Agert, Carsten (2020) Incremental Capacity Analysis as a State of Health Estimation Method for Lithium-Ion Battery Modules with Series-Connected Cells. Batteries, 7 (1), pp. 1-13. MDPI (Multidisciplinary Digital Publishing Institute). doi: 10.3390/batteries7010002. ISSN 2313-0105.

[img] PDF - Published version
2MB

Official URL: https://www.mdpi.com/2313-0105/7/1/2

Abstract

Incremental capacity analysis (ICA) has proven to be an effective tool for determining the state of health (SOH) of Li-ion cells under laboratory conditions. This paper deals with an outstanding challenge of applying ICA in practice: the evaluation of battery series connections. The study uses experimental aging and characterization data of lithium iron phosphate (LFP) cells down to 53% SOH. The evaluability of battery series connections using ICA is confirmed by analytical and experimental considerations for cells of the same SOH. For cells of different SOH, a method for identifying non-uniform aging states on the modules’ IC curve is presented. The findings enable the classification of battery modules with series and parallel connections based on partial terminal data.

Item URL in elib:https://elib.dlr.de/140003/
Document Type:Article
Title:Incremental Capacity Analysis as a State of Health Estimation Method for Lithium-Ion Battery Modules with Series-Connected Cells
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Krupp, AmelieDLR-Institut für Vernetzte Energiesysteme e.V.https://orcid.org/0000-0003-1849-4507
Ferg, Ernst E.Department of Chemistry and uYilo, e-Mobility Technology Innovation Programme, Nelson Mandela UniversityUNSPECIFIED
Schuldt, FrankDLR-Institut für Vernetzte Energiesysteme e.V.https://orcid.org/0000-0002-4196-2025
Derendorf, KarenDLR-Institut für Vernetzte Energiesysteme e.V.UNSPECIFIED
Agert, CarstenCarsten.Agert (at) dlr.dehttps://orcid.org/0000-0003-4733-5257
Date:30 December 2020
Journal or Publication Title:Batteries
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:7
DOI :10.3390/batteries7010002
Page Range:pp. 1-13
Publisher:MDPI (Multidisciplinary Digital Publishing Institute)
Series Name:Special Issue Lithium-Ion Batteries Aging Mechanisms
ISSN:2313-0105
Status:Published
Keywords:lithium-ion batteries; state-of-health; incremental capacity analysis; battery module
HGF - Research field:Energy
HGF - Program:Technology, Innovation and Society
HGF - Program Themes:Renewable Energy and Material Resources for Sustainable Futures - Integrating at Different Scales
DLR - Research area:Energy
DLR - Program:E SY - Energy Systems Analysis
DLR - Research theme (Project):E - Energy Systems Technology (old)
Location: Oldenburg
Institutes and Institutions:Institute of Networked Energy Systems
Deposited By: Krupp, Amelie
Deposited On:04 Jan 2021 15:14
Last Modified:04 Jan 2021 15:14

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.