Thermal Modeling of Large Format Prismatic Lithium-Ion Cell – A Comparative Study

<div class="section abstract"><div class="htmlview paragraph">Lithium-ion batteries are one of the prominent energy storage devices that can store electrical energy in the form of chemical energy and release it as required. During their operation, Lithium-ion batteries generate heat that needs to be removed to ensure their optimum performance and safety. A prior knowledge of heat generation rates can help design efficient thermal management systems. Numerical models are quite successful in estimating the heat generation inside Lithium-ion cells. In the present study, a computational fluid dynamics (CFD) model is developed to estimate the heat generation and temperature distribution within a 30 Ah Prismatic Lithium-ion cell using two modelling approaches namely, the Newman, Tiedemann, Gu, and Kim (NTGK) model and the Pseudo 2-Dimensional (P2D) model. The NTGK model, known for its robust representation of electrochemical and thermal aspects is evaluated against the P2D model while providing a detailed explanation of the battery's internal states and interactions. Both models are implemented to simulate the thermal behavior under varying operating conditions such as different discharge rates (2C, 5C) at <i>T<sub>amb</sub></i> = 25<sup>°</sup><i>C</i>, and coolant flow (natural and forced convection). The results indicate that the computationally less intensive NTGK model provides a reasonable approximation of temperature distribution and thermal gradients, making it suitable for real-time applications and large-scale simulations. Conversely, the computationally expensive P2D model offers more precise insights into the internal thermal and potential hotspots, necessary for advanced design and optimization. This comparative analysis highlights the tradeoff between model complexity and accuracy associated with these modelling approaches and guides towards the selection of appropriate thermal management strategies for battery cooling applications.</div></div>

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SAE technical papers on CD-ROM/SAE technical paper series
Published
2024-12-04
DOI
https://doi.org/10.4271/2024-28-0144
Primary Topic
Advanced Battery Technologies Research
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article
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article

Thermal Modeling of Large Format Prismatic Lithium-Ion Cell – A Comparative Study

M.S. Abhishek, Nagaraju Napa, Bhaskar Tamma, Akhil Garg et al.
SAE technical papers on CD-ROM/SAE technical paper series
Advanced Battery Technologies Research
article

Thermal Modeling of Large Format Prismatic Lithium-Ion Cell – A Comparative Study

M.S. Abhishek, Nagaraju Napa, Bhaskar Tamma, Akhil Garg, Manish Kumar Agrawal
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">Lithium-ion batteries are one of the prominent energy storage devices that can store electrical energy in the form of chemical energy and release it as required. During their operation, Lithium-ion batteries generate heat that needs to be removed to ensure their optimum performance and safety. A prior knowledge of heat generation rates can help design efficient thermal management systems. Numerical models are quite successful in estimating the heat generation inside Lithium-ion cells. In the present study, a computational fluid dynamics (CFD) model is developed to estimate the heat generation and temperature distribution within a 30 Ah Prismatic Lithium-ion cell using two modelling approaches namely, the Newman, Tiedemann, Gu, and Kim (NTGK) model and the Pseudo 2-Dimensional (P2D) model. The NTGK model, known for its robust representation of electrochemical and thermal aspects is evaluated against the P2D model while providing a detailed explanation of the battery's internal states and interactions. Both models are implemented to simulate the thermal behavior under varying operating conditions such as different discharge rates (2C, 5C) at <i>T<sub>amb</sub></i> = 25<sup>°</sup><i>C</i>, and coolant flow (natural and forced convection). The results indicate that the computationally less intensive NTGK model provides a reasonable approximation of temperature distribution and thermal gradients, making it suitable for real-time applications and large-scale simulations. Conversely, the computationally expensive P2D model offers more precise insights into the internal thermal and potential hotspots, necessary for advanced design and optimization. This comparative analysis highlights the tradeoff between model complexity and accuracy associated with these modelling approaches and guides towards the selection of appropriate thermal management strategies for battery cooling applications.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Mahindra Group (India) (IN), Huazhong University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 77%
Advanced Battery Technologies Research
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