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This is a In Vitro Study study.

A System Identification Approach to Estimate Lithium-Ion Battery Entropy Coefficients

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This analysis identifies entropy coefficients in lithium-ion batteries, reducing calculation time by 57% across SoC points.

The entropy coefficient was effectively estimated across 21 state-of-charge points, improving efficiency.
Using the kernel-based method, the study achieved a 57% reduction in time compared to traditional methods.
The methodology was validated against a potentiometric reference, demonstrating good agreement across the SoC range.
Improving lithium-ion battery thermal simulations can enhance performance and reliability in practical applications.

Widanage et al. (2025) studied this question.

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