Next Article in Journal
Method for In-Operando Contamination of Lithium Ion Batteries for Prediction of Impurity-Induced Non-Obvious Cell Damage
Previous Article in Journal
Influence of Switching on the Aging of High Power Lithium-Ion Cells
Article

Comparison of Model-Based and Sensor-Based Detection of Thermal Runaway in Li-Ion Battery Modules for Automotive Application

1
Research Center Energy Storage Technologies, Clausthal University of Technology, Am Stollen 19A, 38640 Goslar, Germany
2
Battery Performance & Cell Development, Scania CV AB, 151 87 Södertälje, Sweden
3
Institute of Electrical Power Engineering and Electrical Energy Engineering, Clausthal University of Technology, Leibnizstraße 28, 38678 Clausthal-Zellerfeld, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Binghe Liu, Lubing Wang, Yuqi Huang, Yongjun Pan and Carlos Ziebert
Batteries 2022, 8(4), 34; https://doi.org/10.3390/batteries8040034
Received: 1 March 2022 / Revised: 4 April 2022 / Accepted: 7 April 2022 / Published: 12 April 2022
(This article belongs to the Topic Safety of Lithium-ion Batteries)
In recent years, research on lithium–ion (Li-ion) battery safety and fault detection has become an important topic, providing a broad range of methods for evaluating the cell state based on voltage and temperature measurements. However, other measurement quantities and close-to-application test setups have only been sparsely considered, and there has been no comparison in between methods. In this work, the feasibility of a multi-sensor setup for the detection of Thermal Runaway failure of automotive-size Li-ion battery modules have been investigated in comparison to a model-based approach. For experimental validation, Thermal Runaway tests were conducted in a close-to-application configuration of module and battery case—triggered by external heating with two different heating rates. By two repetitions of each experiment, a high accordance of characteristics and results has been achieved and the signal feasibility for fault detection has been discussed. The model-based method, that had previously been published, recognised the thermal fault in the fastest way—significantly prior to the required 5 min pre-warning time. This requirement was also achieved with smoke and gas sensors in most test runs. Additional criteria for evaluating detection approaches besides detection time have been discussed to provide a good starting point for choosing a suitable approach that is dependent on application defined requirements, e.g., acceptable complexity. View Full-Text
Keywords: lithium-ion battery module; fault detection; thermal runaway; thermal fault; external heating; battery safety lithium-ion battery module; fault detection; thermal runaway; thermal fault; external heating; battery safety
Show Figures

Figure 1

MDPI and ACS Style

Klink, J.; Hebenbrock, A.; Grabow, J.; Orazov, N.; Nylén, U.; Benger, R.; Beck, H.-P. Comparison of Model-Based and Sensor-Based Detection of Thermal Runaway in Li-Ion Battery Modules for Automotive Application. Batteries 2022, 8, 34. https://doi.org/10.3390/batteries8040034

AMA Style

Klink J, Hebenbrock A, Grabow J, Orazov N, Nylén U, Benger R, Beck H-P. Comparison of Model-Based and Sensor-Based Detection of Thermal Runaway in Li-Ion Battery Modules for Automotive Application. Batteries. 2022; 8(4):34. https://doi.org/10.3390/batteries8040034

Chicago/Turabian Style

Klink, Jacob, André Hebenbrock, Jens Grabow, Nury Orazov, Ulf Nylén, Ralf Benger, and Hans-Peter Beck. 2022. "Comparison of Model-Based and Sensor-Based Detection of Thermal Runaway in Li-Ion Battery Modules for Automotive Application" Batteries 8, no. 4: 34. https://doi.org/10.3390/batteries8040034

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop