2012
DOI: 10.2172/1038186
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Electrochemical-thermal modeling and microscale phase change for passive internal thermal management of lithium ion batteries.

Abstract: A fully coupled electrochemical and thermal model for lithium-ion batteries is developed to investigate the impact of different thermal management strategies on battery performance. In contrast to previous modeling efforts focused either exclusively on particle electrochemistry on the one hand or overall vehicle simulations on the other, the present work predicts local electrochemical reaction rates using temperature-dependent data on commercially available batteries designed for high rates (C/LiFePO 4 ) in a … Show more

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Cited by 3 publications
(3 citation statements)
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References 103 publications
(142 reference statements)
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“…PCM is in fact a latent heat storage where the heat is absorbed or released when the material changes from solid to liquid and vice versa. A combination of these method is also exploited [77].…”
Section: Thermal Managementmentioning
confidence: 99%
“…PCM is in fact a latent heat storage where the heat is absorbed or released when the material changes from solid to liquid and vice versa. A combination of these method is also exploited [77].…”
Section: Thermal Managementmentioning
confidence: 99%
“…where they proposed general models of battery thermal behaviour in [70][71][72][73][74][75][76] or specialized models for cold weather or lower range of temperature [23,77]. However, there is no such research work to investigate thermal behaviour of a utility-scale BESS.…”
Section: Thermal Behaviour Estimation Approachesmentioning
confidence: 99%
“…In this thesis, exogenous parameters are the battery current and ambient temperature. Battery current (i.e., charge/discharge and idle regime) has direct influence on the battery cell temperature because of the ohmic and non-ohmic internal losses [74]. Also, the ambient temperature changes the temperature inside the container, which essentially changes cell temperature with some delay.…”
Section: Data-driven Battery Cell Temperature Modellingmentioning
confidence: 99%