Heat generation rates and anisotropic thermophysical properties of cylindrical lithium-ion battery cells with different terminal mounting configurations

Al‐Zareer, Maan; Ebbs-Picken, Takiah; Michalak, Andrew; Escobar, Camilo; Silva, Carlos Marques da; Davis, Terry C.; Osio, Ignacio; Amón, Cristina H.

doi:10.1016/j.applthermaleng.2023.119990

Cited by 8 publications

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other works present thermal characterization procedures based on cell surface temperature measurements and obtain the internal thermal parameters through numerical optimization studies. Al-Zareer et al [46] determined the heat capacity and the radial and axial cell thermal conductivities by measuring the cell surface temperature and implementing an optimization routine on a COMSOL Multiphysics ® 3-D model for a cylindrical 18650 cell. A similar approach to identify the heat transfer coefficient and the thermal parameters for a prismatic lithium-ion cell was adopted by Samad et al [47] using MATLAB software and considering an array of surface temperature probes, coupling the thermal model with a two RC-loops ECM.…”

Section: Thermal Characterization Testsmentioning

confidence: 99%

Testing and Characterizing Commercial 18650 Lithium-Ion Batteries

Zatta,

De Cesaro,

Dal Cin

et al. 2024

Preprint

View full text Add to dashboard Cite

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.

show abstract

Section: Thermal Characterization Testsmentioning

confidence: 99%