Practical considerations and limitations of online EIS-based battery internal temperature estimation in traction applications

URN to cite this document: urn:nbn:de:bvb:703-epub-9420-8

Title data

Sailer, Norbert ; Steffan, Christoph ; Schmidt, Jan Philipp:
Practical considerations and limitations of online EIS-based battery internal temperature estimation in traction applications.
In: Journal of Power Sources. Vol. 667 (2026) . - 239111.
ISSN 0378-7753
DOI der Verlagsversion: https://doi.org/10.1016/j.jpowsour.2025.239111

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Abstract

Based on a meta–analysis of 68 publications comprising 83 cells, extended by our own measurements, we propose the impedance phase, evaluated at frequencies between 100Hz and 1kHz, as an optimal estimator for internal cell temperature. Our findings indicate mean temperature sensitivities of -0.35°K-1 for temperatures below 23°C and -0.17°K-1 for temperatures above 23°C. Notably, these sensitivities remain constant regardless of the cell’s capacity and chemistry. To achieve a temperature uncertainty of less than 1K for high-energy cells above 23°C, an Electrochemical Impedance Spectroscopy (EIS) measurement system must maintain an uncertainty smaller than 4µΩ for both the real and imaginary components of the impedance, based on the mean sensitivities. In addition to the electrochemical properties of the cells, system characteristics of the application must also be considered for online temperature estimation. Our proposed noise model for traction applications in general, and measurement results for an Electric Vehicle (EV) specifically, demonstrate that disturbances with significant power may disturb online EIS measurements up to 3kHz.

Further data

Item Type:	Article in a journal
Keywords:	Electrochemical Impedance Spectroscopy (EIS); Internal temperature estimation; Battery Management System (BMS)
DDC Subjects:	600 Technology, medicine, applied sciences > 620 Engineering
Institutions of the University:	Faculties > Faculty of Engineering Science > Chair Systems Engineering for Electrical Energy Storage > Chair Systems Engineering for Electrical Energy Storage - Univ.-Prof. Dr.-Ing. Jan Philipp Schmidt Research Institutions > Central research institutes > Bayerisches Zentrum für Batterietechnik - BayBatt Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Systems Engineering for Electrical Energy Storage Research Institutions Research Institutions > Central research institutes
Language:	English
Originates at UBT:	No
URN:	urn:nbn:de:bvb:703-epub-9420-8
Date Deposited:	15 Jun 2026 11:13
Last Modified:	15 Jun 2026 11:13
URI:	https://epub.uni-bayreuth.de/id/eprint/9420

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