Comprehensive Analysis of Parametric Effects on the Specific Heat Capacity of Pristine and Aged Lithium-Ion Cells

The precise determination of the specific heat capacity of lithium-ion cells is essential for thermal management design. Though, varying influences and insufficient parametric analyses are found in the literature. Therefore, a simple and inexpensive measurement setup is utilized to measure the specific heat capacity of cells independent of their format and dimensions. A comprehensive parametric analysis is performed assessing the effect of cell casing, cell chemistry, temperature, state-of-charge, and state-of-health. For the first time ever, a predictive analysis on material level is conducted allowing for understanding the individual factors in detail. Thus, an analytical approach for calculating the specific heat capacity can be validated by comparing predictive values to experimental data for the first time. It is found that the cell format has a significant influence on the specific heat capacity due to varying mass fractions and housing materials. Furthermore, the cell chemistry and corresponding layer thicknesses are of high importance, too. By selecting specific heat capacities for individual materials from the general literature, the analytical prediction matches the experimental data and is thus validated for the first time ever. Moreover, temperature has a positive linear effect on the specific heat capacity which can increase by up to 15% over the operating range. Furthermore, the positive temperature dependency improves the charging performance. Finally, neither SOC nor SOH significantly affect the specific heat capacity of lithium-ion cells.

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Publication Details

Journal
Energy storage and applications
Published
2024-12-04
DOI
https://doi.org/10.3390/esa1010004
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.20
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article

Comprehensive Analysis of Parametric Effects on the Specific Heat Capacity of Pristine and Aged Lithium-Ion Cells

Carlos Gonzalez, Alexander Fill, Dominik Wycisk, Kai Peter Birke et al.
1 citations
Energy storage and applications
Advanced Battery Technologies Research
0.20
article

Comprehensive Analysis of Parametric Effects on the Specific Heat Capacity of Pristine and Aged Lithium-Ion Cells

Carlos Gonzalez, Alexander Fill, Dominik Wycisk, Kai Peter Birke, Gerrit Karl Mertin, Luca Tendera
article en
1 citations

Abstract

The precise determination of the specific heat capacity of lithium-ion cells is essential for thermal management design. Though, varying influences and insufficient parametric analyses are found in the literature. Therefore, a simple and inexpensive measurement setup is utilized to measure the specific heat capacity of cells independent of their format and dimensions. A comprehensive parametric analysis is performed assessing the effect of cell casing, cell chemistry, temperature, state-of-charge, and state-of-health. For the first time ever, a predictive analysis on material level is conducted allowing for understanding the individual factors in detail. Thus, an analytical approach for calculating the specific heat capacity can be validated by comparing predictive values to experimental data for the first time. It is found that the cell format has a significant influence on the specific heat capacity due to varying mass fractions and housing materials. Furthermore, the cell chemistry and corresponding layer thicknesses are of high importance, too. By selecting specific heat capacities for individual materials from the general literature, the analytical prediction matches the experimental data and is thus validated for the first time ever. Moreover, temperature has a positive linear effect on the specific heat capacity which can increase by up to 15% over the operating range. Furthermore, the positive temperature dependency improves the charging performance. Finally, neither SOC nor SOH significantly affect the specific heat capacity of lithium-ion cells.

Energy storage and applicationsVol. 1(1)
University of Stuttgart (DE), Mercedes-Benz (Germany) (DE)
Openalex Percentile: Top 48%
Advanced Battery Technologies Research
0.20
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