Experimental modeling and analysis of lithium-ion battery temperature dependence

Ala A. Hussein

doi:10.1109/APEC.2015.7104483

Experimental modeling and analysis of lithium-ion battery temperature dependence

Ala A. Hussein

Department of Electrical and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

53 Citations (Scopus)

Abstract

Battery performance is strongly dependent on the ambient temperature. For example, at moderate temperatures, the battery performance is optimal, whereas at extreme temperatures, the battery performance is not optimized and sometimes unexpected. In order to predict the battery behavior, a model that involves the battery's underlying dynamics is usually used. The majority of dynamic battery models are derived at only one single temperature (room temperature), which can easily lead to failure in predicting the battery performance when the temperature varies. Therefore, adding some temperature dependence to those models can make the battery management system more reliable, safer, and moreover, prolong the battery lifetime. In this paper, a 3.6V/1100mAh lithium-ion (Li-ion) battery cell is tested at temperature between -30°C and +50°C and its main parameters are measured. The measured parameters include the discharge capacity, the charge and discharge resistance, and the open-circuit voltage, which comprise the main parameters of equivalent electric-circuit based models. Experimental testing results and observations are presented in this paper.

Original language	English
Title of host publication	APEC 2015 - 30th Annual IEEE Applied Power Electronics Conference and Exposition
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1084-1088
Number of pages	5
Edition	May
ISBN (Electronic)	9781479967353
DOIs	https://doi.org/10.1109/APEC.2015.7104483
Publication status	Published - May 8 2015
Event	30th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2015 - Charlotte, United States Duration: Mar 15 2015 → Mar 19 2015

Publication series

Name	Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
Number	May
Volume	2015-May

Other

Other	30th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2015
Country/Territory	United States
City	Charlotte
Period	3/15/15 → 3/19/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Ambient temperature
Battery
Capacity
Internal resistance
Open-circuit voltage (OCV)
State-of-charge (SOC)

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/APEC.2015.7104483

Cite this

Hussein, A. A. (2015). Experimental modeling and analysis of lithium-ion battery temperature dependence. In APEC 2015 - 30th Annual IEEE Applied Power Electronics Conference and Exposition (May ed., pp. 1084-1088). Article 7104483 (Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC; Vol. 2015-May, No. May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APEC.2015.7104483

Experimental modeling and analysis of lithium-ion battery temperature dependence. / Hussein, Ala A.
APEC 2015 - 30th Annual IEEE Applied Power Electronics Conference and Exposition. May. ed. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1084-1088 7104483 (Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC; Vol. 2015-May, No. May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hussein, AA 2015, Experimental modeling and analysis of lithium-ion battery temperature dependence. in APEC 2015 - 30th Annual IEEE Applied Power Electronics Conference and Exposition. May edn, 7104483, Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC, no. May, vol. 2015-May, Institute of Electrical and Electronics Engineers Inc., pp. 1084-1088, 30th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2015, Charlotte, United States, 3/15/15. https://doi.org/10.1109/APEC.2015.7104483

Hussein AA. Experimental modeling and analysis of lithium-ion battery temperature dependence. In APEC 2015 - 30th Annual IEEE Applied Power Electronics Conference and Exposition. May ed. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1084-1088. 7104483. (Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC; May). doi: 10.1109/APEC.2015.7104483

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abstract = "Battery performance is strongly dependent on the ambient temperature. For example, at moderate temperatures, the battery performance is optimal, whereas at extreme temperatures, the battery performance is not optimized and sometimes unexpected. In order to predict the battery behavior, a model that involves the battery's underlying dynamics is usually used. The majority of dynamic battery models are derived at only one single temperature (room temperature), which can easily lead to failure in predicting the battery performance when the temperature varies. Therefore, adding some temperature dependence to those models can make the battery management system more reliable, safer, and moreover, prolong the battery lifetime. In this paper, a 3.6V/1100mAh lithium-ion (Li-ion) battery cell is tested at temperature between -30°C and +50°C and its main parameters are measured. The measured parameters include the discharge capacity, the charge and discharge resistance, and the open-circuit voltage, which comprise the main parameters of equivalent electric-circuit based models. Experimental testing results and observations are presented in this paper.",

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N2 - Battery performance is strongly dependent on the ambient temperature. For example, at moderate temperatures, the battery performance is optimal, whereas at extreme temperatures, the battery performance is not optimized and sometimes unexpected. In order to predict the battery behavior, a model that involves the battery's underlying dynamics is usually used. The majority of dynamic battery models are derived at only one single temperature (room temperature), which can easily lead to failure in predicting the battery performance when the temperature varies. Therefore, adding some temperature dependence to those models can make the battery management system more reliable, safer, and moreover, prolong the battery lifetime. In this paper, a 3.6V/1100mAh lithium-ion (Li-ion) battery cell is tested at temperature between -30°C and +50°C and its main parameters are measured. The measured parameters include the discharge capacity, the charge and discharge resistance, and the open-circuit voltage, which comprise the main parameters of equivalent electric-circuit based models. Experimental testing results and observations are presented in this paper.

AB - Battery performance is strongly dependent on the ambient temperature. For example, at moderate temperatures, the battery performance is optimal, whereas at extreme temperatures, the battery performance is not optimized and sometimes unexpected. In order to predict the battery behavior, a model that involves the battery's underlying dynamics is usually used. The majority of dynamic battery models are derived at only one single temperature (room temperature), which can easily lead to failure in predicting the battery performance when the temperature varies. Therefore, adding some temperature dependence to those models can make the battery management system more reliable, safer, and moreover, prolong the battery lifetime. In this paper, a 3.6V/1100mAh lithium-ion (Li-ion) battery cell is tested at temperature between -30°C and +50°C and its main parameters are measured. The measured parameters include the discharge capacity, the charge and discharge resistance, and the open-circuit voltage, which comprise the main parameters of equivalent electric-circuit based models. Experimental testing results and observations are presented in this paper.

KW - Ambient temperature

KW - Battery

KW - Capacity

KW - Internal resistance

KW - Open-circuit voltage (OCV)

KW - State-of-charge (SOC)

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ER -

Experimental modeling and analysis of lithium-ion battery temperature dependence

Abstract

Publication series

Other

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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