LAPSE:2019.0172
Published Article
LAPSE:2019.0172
Modeling of a Pouch Lithium Ion Battery Using a Distributed Parameter Equivalent Circuit for Internal Non-Uniformity Analysis
Dafen Chen, Jiuchun Jiang, Xue Li, Zhanguo Wang, Weige Zhang
January 31, 2019
A battery model that has the capability of analyzing the internal non-uniformity of local state variables, including the state of charge (SOC), temperature and current density, is proposed in this paper. The model is built using a set of distributed parameter equivalent circuits. In order to validate the accuracy of the model, a customized battery with embedded T-type thermocouple sensors inside the battery is tested. The simulated temperature conforms well with the measured temperature at each test point, and the maximum difference is less than 1 °C. Then, the model is applied to analyze the evolution processes of local state variables’ distribution inside the battery during the discharge process. The simulation results demonstrate drastic distribution changes of the local state variables inside the battery during the discharge process. The internal non-uniformity is originally caused by the resistance of positive and negative foils, while also influenced by the change rate of open circuit voltage and the total resistance of the battery. Hence, the factors that affect the distribution of the local state variables are addressed.
Keywords
distributed parameter equivalent circuit model, internal non-uniformity, lithium ion battery
Suggested Citation
Chen D, Jiang J, Li X, Wang Z, Zhang W. Modeling of a Pouch Lithium Ion Battery Using a Distributed Parameter Equivalent Circuit for Internal Non-Uniformity Analysis. (2019). LAPSE:2019.0172
Author Affiliations
Chen D: National Active Distribution Network Technology Research Center, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing 100044, China; Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, No.
Jiang J: National Active Distribution Network Technology Research Center, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing 100044, China; Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, No.
Li X: National Active Distribution Network Technology Research Center, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing 100044, China; Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, No.
Wang Z: National Active Distribution Network Technology Research Center, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing 100044, China; Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, No.
Zhang W: National Active Distribution Network Technology Research Center, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing 100044, China; Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, No.
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Journal Name
Energies
Volume
9
Issue
11
Article Number
E865
Year
2016
Publication Date
2016-10-25
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9110865, Publication Type: Journal Article
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LAPSE:2019.0172
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doi:10.3390/en9110865
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Jan 31, 2019
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Jan 31, 2019
 
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Calvin Tsay
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