Characterization and concept validation of lithium-ion batteries in automotive applications by load spectrum analysis

Tanja Gewald; Christoph Reiter; Xue Lin; Michael Baumann; Thilo Krahl; Alexander Hahn; Markus Lienkamp

Characterization and concept validation of lithium-ion batteries in automotive applications by load spectrum analysis

Tanja Gewald
, Christoph Reiter
, Xue Lin
, Michael Baumann
, Thilo Krahl
, Alexander Hahn
, Markus Lienkamp

Chair of Automotive Technology

Technical University of Munich
DEE Dräxlmaier Electric and Electronic Systems GmbH

Research output: Contribution to conference › Paper › peer-review

6 Scopus citations

Abstract

The design of a lithium-ion battery with the aim to meet given system requirements and to consider aspects of cell aging is complex as the correlation between system configuration and the resulting load on cell level is non-trivial. This paper proposes load spectrum analysis as an effective method for characterization and concept validation. Within the framework of this paper, the suitability of the WLTP Class 3 reference cycle for aging characterization is disproven. The effect of different cooling concepts and cell-to-cell variation within a battery system are evaluated with regard to lithium-ion cell aging and maximum cell and system load.

Original language	English
State	Published - 2018
Event	31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018 - Kobe City, Japan Duration: 30 Sep 2018 → 3 Oct 2018

Conference

Conference	31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018
Country/Territory	Japan
City	Kobe City
Period	30/09/18 → 3/10/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Aging
Lithium-ion battery
Load spectrum analysis
System design

Cite this

Gewald, T., Reiter, C., Lin, X., Baumann, M., Krahl, T., Hahn, A., & Lienkamp, M. (2018). Characterization and concept validation of lithium-ion batteries in automotive applications by load spectrum analysis. Paper presented at 31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018, Kobe City, Japan.

@conference{17a16954330b4316926e462022d9e9eb,

title = "Characterization and concept validation of lithium-ion batteries in automotive applications by load spectrum analysis",

abstract = "The design of a lithium-ion battery with the aim to meet given system requirements and to consider aspects of cell aging is complex as the correlation between system configuration and the resulting load on cell level is non-trivial. This paper proposes load spectrum analysis as an effective method for characterization and concept validation. Within the framework of this paper, the suitability of the WLTP Class 3 reference cycle for aging characterization is disproven. The effect of different cooling concepts and cell-to-cell variation within a battery system are evaluated with regard to lithium-ion cell aging and maximum cell and system load.",

keywords = "Aging, Lithium-ion battery, Load spectrum analysis, System design",

author = "Tanja Gewald and Christoph Reiter and Xue Lin and Michael Baumann and Thilo Krahl and Alexander Hahn and Markus Lienkamp",

note = "Publisher Copyright: Copyright {\textcopyright} 2018 Society of Automotive Engineers of Japan, Inc. All rights reserved; 31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018 ; Conference date: 30-09-2018 Through 03-10-2018",

year = "2018",

language = "English",

}

Gewald, T, Reiter, C, Lin, X, Baumann, M, Krahl, T, Hahn, A & Lienkamp, M 2018, 'Characterization and concept validation of lithium-ion batteries in automotive applications by load spectrum analysis', Paper presented at 31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018, Kobe City, Japan, 30/09/18 - 3/10/18.

Characterization and concept validation of lithium-ion batteries in automotive applications by load spectrum analysis. / Gewald, Tanja; Reiter, Christoph; Lin, Xue et al.
2018. Paper presented at 31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018, Kobe City, Japan.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Characterization and concept validation of lithium-ion batteries in automotive applications by load spectrum analysis

AU - Gewald, Tanja

AU - Reiter, Christoph

AU - Lin, Xue

AU - Baumann, Michael

AU - Krahl, Thilo

AU - Hahn, Alexander

AU - Lienkamp, Markus

PY - 2018

Y1 - 2018

N2 - The design of a lithium-ion battery with the aim to meet given system requirements and to consider aspects of cell aging is complex as the correlation between system configuration and the resulting load on cell level is non-trivial. This paper proposes load spectrum analysis as an effective method for characterization and concept validation. Within the framework of this paper, the suitability of the WLTP Class 3 reference cycle for aging characterization is disproven. The effect of different cooling concepts and cell-to-cell variation within a battery system are evaluated with regard to lithium-ion cell aging and maximum cell and system load.

AB - The design of a lithium-ion battery with the aim to meet given system requirements and to consider aspects of cell aging is complex as the correlation between system configuration and the resulting load on cell level is non-trivial. This paper proposes load spectrum analysis as an effective method for characterization and concept validation. Within the framework of this paper, the suitability of the WLTP Class 3 reference cycle for aging characterization is disproven. The effect of different cooling concepts and cell-to-cell variation within a battery system are evaluated with regard to lithium-ion cell aging and maximum cell and system load.

KW - Aging

KW - Lithium-ion battery

KW - Load spectrum analysis

KW - System design

UR - https://www.scopus.com/pages/publications/85066491465

M3 - Paper

AN - SCOPUS:85066491465

T2 - 31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018

Y2 - 30 September 2018 through 3 October 2018

ER -

Characterization and concept validation of lithium-ion batteries in automotive applications by load spectrum analysis

Abstract

Conference

UN SDGs

Keywords

Other files and links

Fingerprint

Cite this