Multi-scale thermal modeling, experimental validation, and thermal characterization of a high-power lithium-ion cell for automobile application

Tahir, Muhammad; Merten, C.

doi:10.1016/j.enconman.2022.115490

Cited by 23 publications

(6 citation statements)

References 45 publications

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“…Calorimetric measurements, though precise, require expensive equipment: this is one of the reason why many papers on thermal modelling of Li-ion cells cited above adopted the volume-fraction method to determine the battery thermal parameters from the materials properties. This is the case of [43,44] or [45], where cylindrical cells are studied coupling a electrochemical model with a 2-D thermal model.…”

Section: Thermal Characterization Testsmentioning

confidence: 99%

Testing and Characterizing Commercial 18650 Lithium-Ion Batteries

Zatta,

De Cesaro,

Dal Cin

et al. 2024

Preprint

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Reduced-order electrothermal models play a key role in the design and control of lithium- ion cell stacks, calling for accurate model parameter calibration. This paper presents a complete electrical and thermal experimental characterization procedure for coupled modeling of cylindrical lithium-ion cells in order to implement them in a prototype Formula SAE hybrid racing car. The main 4goal of the tests is to determine cell capacity variations with temperatures and discharge currents, to predict the open circuit voltage of the cell and its entropic component. A simple approach for the characterization of the battery equivalent electrical circuit and a two-steps thermal characterization method are also shown. The investigations are carried out on four commercial 18650 NMC lithium cells. The model demonstrated to predict the battery voltage at a RMS error lower than 20mV and the temperature to a RMS error equal to 0.5 ◦C. The authors hope that this manuscript can contribute to the development of standardized characterization techniques for such cells, while offering experimental data and validated models that can be used by researchers and BMS designers in different applications.

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Section: Thermal Characterization Testsmentioning

confidence: 99%

Testing and Characterizing Commercial 18650 Lithium-Ion Batteries

Zatta,

De Cesaro,

Dal Cin

et al. 2024

Preprint

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“…Simcenter Battery Design Studio (BDS) models the cell components from a geometrical, chemical and thermal point of view necessitating the specification of a large number of parameters. Since those measurements are not available, most of the data are referenced to the cell datasheet and to the papers [10][11][12][13][14][15][16][17][18]. An insight on how the analysed battery is made is reported in Figure 4.…”

Section: Simcenter Battery Design Studio Modelmentioning

confidence: 99%

Analysis of the electrical and thermal behaviour of Li-ion batteries using 0D and 3D-CFD approaches with validation on experimental data

Reina,

Grigore,

Cicalese

et al. 2023

J. Phys.: Conf. Ser.

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Due to their characteristics, lithium-ion cells are the reference in the construction of a battery pack for electric vehicles (EVs). Despite this, their use is strongly affected by the operating temperature because the materials they are made of are thermally stable only in a relatively limited range around ambient temperature. Cell modelling and simulation become therefore essential in the design of the cell, of the battery pack and of its auxiliary systems to optimize performance while maintaining sufficient safety margins. In the present study, two zero-dimensional equivalent circuit models of a commercial Li-ion cell are developed and tuned in order to predict the electrical and thermal behaviour of the cell. The models are validated and compared with experimental data found in the scientific literature referring to both dynamic and static tests. This comparison shows the importance of tuning the model parameters, which are decisive for the accuracy of the simulation. Using a commercial tool dedicated to battery modelling, a three-dimensional model is then developed to investigate the electrical and thermal behaviour of the cell from a spatial point of view. The results obtained are aligned with those found in the scientific literature. With the present work, it has been possible to simulate and analyse the global behaviour of the cell (0D model) as well as its detailed behaviour (3D model) using relatively modest computational resources, thus constituting a solid base for more complex modelling such as that of a battery pack and its cooling system.

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“…In recent years, a great deal of research has been focused on the modeling of Lithium-ion batteries including electrochemical models [3][4][5][6][7][8][9][10][11][12], mechanical models [13][14][15][16][17][18][19][20][21], Battery Thermal Management System/thermal models [22][23][24][25][26][27][28][29][30], and multiphysics models [31][32][33][34][35][36][37] at scales varying from nanolevel to cell level. Such efforts had immense contribution in improving the safety of lithium-ion battery cells.…”

Section: Introductionmentioning

confidence: 99%

Modeling Electric Vehicle’s Battery Module using Computational Homogenization Approach

Shinde

Song

Sahraei

2023

International Journal of Energy Research

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Numerical simulations of heterogeneous structures like battery modules of electric vehicles are challenging due to the various length scales involved in it. Even with the latest computing technology, it is impossible to simulate the crash scene of the full vehicle resolving all length scales. Such hurdles have prevented manufacturers to understand the mechanical response of battery packs in vehicle crash scenarios. In this work, the problem of multiple length scales was solved using the RVE technique based on homogenization theory. An appropriate representative volume element was identified, and a 3D FE model was developed. Classical first-order boundary conditions were used in this research work. The RVE was subjected to several macroscopic deformations, and its response was obtained. The homogenized material properties were computed from the obtained responses, and a material model available in LS-Dyna’s material library was selected and calibrated to describe the nonlinear multiaxial behavior of the homogenized battery module at the macroscale. For validation, the USABC Crush and Drop Tests were simulated for the detailed and homogenized battery modules. The main output of this research is a robust and computationally efficient tool enabling satisfactory integration of a battery pack model to the vehicle for crash simulations, eliminating the need to simulate micro details at macro length scales. This approach significantly reduced the computational cost. For example, for a Drop Test simulation, the homogenized model reduced the simulation time from 40 hours (detailed model) to about 3 minutes, while maintaining a high precision ( R 2 = 0.9871 ) in predicting the load-displacement response. The system level modeling will enable the stakeholders to perform efficient optimization and safety evaluation for full-scale crashworthiness of electric vehicles.

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Multi-scale thermal modeling, experimental validation, and thermal characterization of a high-power lithium-ion cell for automobile application

Cited by 23 publications

References 45 publications

Testing and Characterizing Commercial 18650 Lithium-Ion Batteries

Testing and Characterizing Commercial 18650 Lithium-Ion Batteries

Analysis of the electrical and thermal behaviour of Li-ion batteries using 0D and 3D-CFD approaches with validation on experimental data

Modeling Electric Vehicle’s Battery Module using Computational Homogenization Approach

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