A thermal model for Li-ion batteries operating under dynamic conditions

Amini, Ali; Özdemir, Tanılay; Ekici, Özgür; Başlamışlı, S. Çağlar; Köksal, Murat

doi:10.1016/j.applthermaleng.2020.116338

Cited by 23 publications

(3 citation statements)

References 30 publications

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“…Also, the lumped body approach consider the temperature uniformly distributed in the battery. For example, [20] apply a lumped thermal model to compute the heat generation in the battery and heat transfer between the battery surface and surrounding fluid. The lumped and 1D model developed in these studies, featured a good representation of the temperature evolution with respect to experimental data.…”

Section: Data-driven Numerical Modelmentioning

confidence: 99%

Validation of a data-driven fast numerical model to simulate the immersion cooling of a lithium-ion battery pack

Solai

Guadagnini²,

Beaugendre

et al. 2022

Energy

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Section: Data-driven Numerical Modelmentioning

confidence: 99%

Validation of a data-driven fast numerical model to simulate the immersion cooling of a lithium-ion battery pack

Solai

Guadagnini²,

Beaugendre

et al. 2022

Energy

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“…Test durations were 30, 60 and 90 min, depending on the C rate values. Experiments were performed at three different operating temperatures, namely, 20°C, 35°C and 50°C [11]. Another study is a zero-dimensional numerical model based on the transient energy balances and the analogy between heat transfer and electrical transfer using resistances and capacitors.…”

Section: Introductionmentioning

confidence: 99%

Combined Experimental and Numerical Approach for the Thermal Heat Exchange Investigation of Li-Ion Cells for Automotive Applications

Karaca,

Baldinelli,

Postrioti

et al. 2024

J. Phys.: Conf. Ser.

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Lithium-ion (Li-ion) battery is an advanced technology in the field of electrochemical energy storage, but its management constitutes one of the most intriguing challenges for electric vehicles. Many parameters need to be controlled and managed and many aspects need to be optimised. This work presents a methodology for laboratory characterization of Nickel Manganese Cobalt (NMC) Lithium-Ion batteries suited for automotive applications. The purpose consists of obtaining a detailed description of the electrical and thermal behaviour of a single battery cell to provide an accurate model (static, dynamic, and thermal) that could ensure optimized real-time battery management by a management system for several battery packs. A battery testing system was built using a bidirectional power supply and a software/hardware interface was implemented within the National Instruments LabVIEW environment that monitors current, voltage and temperature sensors. This dedicated laboratory equipment can be used to apply and report charging/discharging cycles according to the user-defined load profile. A bidimensional CFD dynamic condition/transient simulation in the Ansys FLUENT environment was performed to study the heat thermal fluxes generated by a determined current value in the battery cells, and the results have been compared to the experimental data for validation.

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“…It was also demonstrated in many studies that a simplified and fast forward approach for many battery systems is to use only the heat generation given by the irreversible resistive heating term and, in some cases, with the reversible entropic term. 27,28…”

mentioning

confidence: 99%

A Reduced-Order Lumped Model for Li-Ion Battery Packs during Operation

Coman

Darcy

Strangways³

et al. 2021

J. Electrochem. Soc.

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Modeling heat distribution in Li-ion battery packs can be challenging, especially if the battery pack is large and the cells are operated at high C-rates, which usually requires high-order physics-based mathematical models. Reduced and simplifying models can, however, be used at lower rates. This paper presents a fast novel reduced lumped model (RLM) that can be used to calculate the temperature increase during the high-current discharge of cylindrical Li-ion cells in a subscale of a battery pack. By reducing the PDE utilized to calculate the state of charge (SoC) to ODE's and solving them analytically, the reduced model can be a very reliable and fast tool for calculating the temperature distribution in battery packs. The voltage was calculated by considering the charge overpotential, the ohmic overpotential, and the activation overpotential, while the properties of the parameters are dependent on the temperature following an Arrhenius-dependency. Comparing with experimental data, the model showed a good prediction of the temperature readings showing good potential in using the model for battery packs operating at high C-rates (>2 C).

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A thermal model for Li-ion batteries operating under dynamic conditions

Cited by 23 publications

References 30 publications

Validation of a data-driven fast numerical model to simulate the immersion cooling of a lithium-ion battery pack

Validation of a data-driven fast numerical model to simulate the immersion cooling of a lithium-ion battery pack

Combined Experimental and Numerical Approach for the Thermal Heat Exchange Investigation of Li-Ion Cells for Automotive Applications

A Reduced-Order Lumped Model for Li-Ion Battery Packs during Operation

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