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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Online Access: | http://dx.doi.org/10.1155/2017/9543781 |
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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 |
work_keys_str_mv |
AT dirknissing thermalmodelparameteridentificationofalithiumbattery AT arindammahanta thermalmodelparameteridentificationofalithiumbattery AT stefanvansterkenburg thermalmodelparameteridentificationofalithiumbattery |
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