Electric and Thermal Model of Li-ion battery pack with cylindrical components

Saqli, Khadija; Bouchareb, Houda; M'Sirdi, Kouider; Naamane, Aziz; Oudghiri, Mohammed

doi:10.1109/redec49234.2020.9163865

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…The current collector at the positive and negative end of the battery accumulates the generated current. The governing PDEs are thoroughly presented in our previous work [30] and won't be represented here for simplicity. We upgraded the earlier model of [30] to capture the battery core and surface temperature, the temperature of the air flowing inside the compartment, the battery SOC and the generated heat.…”

Section: Electrochemical Modelmentioning

confidence: 99%

“…The governing PDEs are thoroughly presented in our previous work [30] and won't be represented here for simplicity. We upgraded the earlier model of [30] to capture the battery core and surface temperature, the temperature of the air flowing inside the compartment, the battery SOC and the generated heat. The properties of the battery are listed in Table 1.…”

Section: Electrochemical Modelmentioning

confidence: 99%

“…By combining the temperature dependent second order equivalent circuit model that we developed in a previous work [30] with this TSM battery model we can calculate the battery heat generation using equation 11. The entropy heat coefficient was ignored since the temperature impact on the OCV change is minor.…”

Section: Parameter Identificationmentioning

confidence: 99%

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Li-Ion Pil Termal Parametre Tanımlama ve Çekirdek Sıcaklık Tahmini

et al. 2023

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Battery core and surface temperature are crucial for the thermal management and safety usage of Li-ion batteries. They affect the cell's physical properties and strongly correlate with some of its key states, such as the battery state of charge (SOC) and state of health (SOH). Therefore, an accurate estimate of the battery core and surface temperature will enhance the performance and prolong the battery's life. This study proposes an estimation system of the battery core and surface temperature. A simplified pseudo-two-dimensional model is introduced to capture the battery SOC, core and surface temperature that will be used later in this study to model and validate the results' accuracy. Then, a two-state thermal battery model (TSM) is presented and studied. The recursive least square (RLS) algorithm is adopted to identify the thermal parameters of the battery. Next, the TSM is validated using COMSOL Multiphysics simulation software and the thermal parameters are then fed to the Kalman filter (KF) to estimate the battery core temperature. Finally, the accuracy of the battery core temperature estimated results are validated with a root mean square error of 0.037K.

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Section: Electrochemical Modelmentioning

confidence: 99%

Section: Electrochemical Modelmentioning

confidence: 99%