Thermal Model Parameter Identification of a Lithium Battery

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 th...

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Main Authors: Dirk Nissing, Arindam Mahanta, Stefan van Sterkenburg
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2017/9543781
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spelling doaj-418e9b6a19464ca69c333de55a8d8b132020-11-25T00:53:40ZengHindawi LimitedJournal of Control Science and Engineering1687-52491687-52572017-01-01201710.1155/2017/95437819543781Thermal Model Parameter Identification of a Lithium BatteryDirk Nissing0Arindam Mahanta1Stefan van Sterkenburg2Faculty of Technology and Bionics, Rhine-Waal University of Applied Sciences, Kleve, GermanyFaculty of Technology and Bionics, Rhine-Waal University of Applied Sciences, Kleve, GermanyHAN Automotive Research, Hogeschool van Arnhem en Nijmegen, Arnhem, NetherlandsThe 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.http://dx.doi.org/10.1155/2017/9543781
collection DOAJ
language English
format Article
sources DOAJ
author Dirk Nissing
Arindam Mahanta
Stefan van Sterkenburg
spellingShingle Dirk Nissing
Arindam Mahanta
Stefan van Sterkenburg
Thermal Model Parameter Identification of a Lithium Battery
Journal of Control Science and Engineering
author_facet Dirk Nissing
Arindam Mahanta
Stefan van Sterkenburg
author_sort Dirk Nissing
title Thermal Model Parameter Identification of a Lithium Battery
title_short Thermal Model Parameter Identification of a Lithium Battery
title_full Thermal Model Parameter Identification of a Lithium Battery
title_fullStr Thermal Model Parameter Identification of a Lithium Battery
title_full_unstemmed Thermal Model Parameter Identification of a Lithium Battery
title_sort thermal model parameter identification of a lithium battery
publisher Hindawi Limited
series Journal of Control Science and Engineering
issn 1687-5249
1687-5257
publishDate 2017-01-01
description 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.
url http://dx.doi.org/10.1155/2017/9543781
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AT stefanvansterkenburg thermalmodelparameteridentificationofalithiumbattery
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