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A novel phenomenological multi-physics model of Li-ion battery cells

A novel phenomenological multi-physics model of Lithium-ion battery cells is developed for control and state estimation purposes. The model can capture electrical, thermal, and mechanical behaviors of battery cells under constrained conditions, e.g., battery pack conditions. Specifically, the propos...

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Bibliographic Details
Published in:Journal of power sources 2016-09, Vol.326 (C), p.447-458
Main Authors: Oh, Ki-Yong, Samad, Nassim A., Kim, Youngki, Siegel, Jason B., Stefanopoulou, Anna G., Epureanu, Bogdan I.
Format: Article
Language:English
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Summary:A novel phenomenological multi-physics model of Lithium-ion battery cells is developed for control and state estimation purposes. The model can capture electrical, thermal, and mechanical behaviors of battery cells under constrained conditions, e.g., battery pack conditions. Specifically, the proposed model predicts the core and surface temperatures and reaction force induced from the volume change of battery cells because of electrochemically- and thermally-induced swelling. Moreover, the model incorporates the influences of changes in preload and ambient temperature on the force considering severe environmental conditions electrified vehicles face. Intensive experimental validation demonstrates that the proposed multi-physics model accurately predicts the surface temperature and reaction force for a wide operational range of preload and ambient temperature. This high fidelity model can be useful for more accurate and robust state of charge estimation considering the complex dynamic behaviors of the battery cell. Furthermore, the inherent simplicity of the mechanical measurements offers distinct advantages to improve the existing power and thermal management strategies for battery management. •A novel multi-physics model of Li-ion batteries on the cell-level is developed.•The proposed model couples electric, thermal, and mechanical behaviors of the cell.•The model predicts surface temperature, SOC, and force at pack conditions.•Intensive experimental validations confirm that the model has high accuracy.
ISSN:0378-7753
1873-2755
DOI:10.1016/j.jpowsour.2016.07.019