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Journal of Control Science and Engineering
Volume 2017 (2017), Article ID 9543781, 8 pages
Research Article

Thermal Model Parameter Identification of a Lithium Battery

1Faculty of Technology and Bionics, Rhine-Waal University of Applied Sciences, Kleve, Germany
2HAN Automotive Research, Hogeschool van Arnhem en Nijmegen, Arnhem, Netherlands

Correspondence should be addressed to Dirk Nissing

Received 21 December 2016; Revised 18 May 2017; Accepted 7 June 2017; Published 13 July 2017

Academic Editor: Daniela Proto

Copyright © 2017 Dirk Nissing et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The temperature of a Lithium battery cell is important for its performance, efficiency, safety, and capacity and is influenced by the environmental temperature and by the charging and discharging process itself. Battery Management Systems (BMS) take into account this effect. As the temperature at the battery cell is difficult to measure, often the temperature is measured on or nearby the poles of the cell, although the accuracy of predicting the cell temperature with those quantities is limited. Therefore a thermal model of the battery is used in order to calculate and estimate the cell temperature. This paper uses a simple RC-network representation for the thermal model and shows how the thermal parameters are identified using input/output measurements only, where the load current of the battery represents the input while the temperatures at the poles represent the outputs of the measurement. With a single measurement the eight model parameters (thermal resistances, electric contact resistances, and heat capacities) can be determined using the method of least-square. Experimental results show that the simple model with the identified parameters fits very accurately to the measurements.