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Electrothermal modeling and characterization of high capacity lithium-ion battery systems for mobile and stationary applications

Title data

Giegerich, Martin ; Koffel, S. ; Filimon, R. ; Grosch, J. L. ; Fühner, T. ; Wenger, Martin M. ; Gepp, Markus ; Lorentz, Vincent:
Electrothermal modeling and characterization of high capacity lithium-ion battery systems for mobile and stationary applications.
2013
Event: IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society , Nov. 10–13, 2013 , Vienna, Austria.
(Conference item: Conference , Speech with paper )
DOI: https://doi.org/10.1109/IECON.2013.6700245

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
EnCN: Energie Campus Nürnberg; Themenschwerpunkt: NET – Elektrische NetzeNo information
SuperLIB: Smart Battery Control System based on a Charge-equalization Circuit for an advanced Dual-Cell Battery for Electric Vehicles285224
AVTR: Optimal Electrical Powertrain via Adaptable Voltage and Transmission Ratio314128

Project financing: 7. Forschungsrahmenprogramm für Forschung, technologische Entwicklung und Demonstration der Europäischen Union
Bayerisches Staatsministerium für Wirtschaft, Infrastruktur, Verkehr und Technologie
The research leading to these results has received funding as part of the Energie Campus Nürnberg (“EnCN”) which is financed by the State of Bavaria as part of the program Bavaria on the move, and the SEEDs project which is funded by the Bavarian State Ministry of Economic Affairs, Infrastructure, Transport and Technology in the framework of the Bavarian initiative for research and development of technology in the energy sector. Also funding was received from the European Union Seventh Framework Program (FP7/2007–2013) under grant agreement n°285224 (“SuperLIB”) and grant agreement n°314128 (“AVTR”). The authors thank Mika Räsänen (former European Batteries Oy in Finland) for his support by providing battery cell components and fruitful discussions.

Abstract in another language

In mobile and stationary battery systems, lifetime expectancy is a key parameter for the calculation of monetary effectiveness. It significantly affects return on investment and therefore is a key parameter for the market breakthrough of the desired battery application. Battery life is influenced by two different factors, namely electrical utilization and environmental conditions. As higher temperatures lead to a faster deterioration of the lithium-ion battery, smart thermal design can not only increase battery lifetime, but also reduce cooling costs and improve overall efficiency. It is therefore essential to establish an effective thermal design through perfoming electrothermal modeling and characterization of the battery cell, battery module and fully assembled battery pack. In this paper, the motivation for electrothermal modeling of lithium-ion battery cells and modules is introduced and design challenges are identified for applications in mobile and stationary battery systems. An electrothermal model of batteries with appropriate cell chemistry for mobile and stationary applications is developed with focus on further implementation in thermal simulation of battery modules and packs. The parameterization process of the presented models is shown and a model of battery cells with derived parameters is presented. Finally, the electrothermal model is verified experimentally.

Further data

Item Type: Conference item (Speech with paper)
Refereed: Yes
Keywords: Batteries; Temperature measurement; Temperature dependence; Temperature sensors; Integrated circuit modeling; Battery charge measurement; Finite element analysis
Institutions of the University: Research Institutions > Research Centres > Bayerisches Zentrum für Batterietechnik - BayBatt
Research Institutions
Research Institutions > Research Centres
Result of work at the UBT: No
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 07 Jun 2022 09:08
Last Modified: 12 Aug 2022 07:08
URI: https://eref.uni-bayreuth.de/id/eprint/69877