Machine learning-based thermal predictions trained on experimental data for multichannel flat-tube bilateral liquid-cooled lithium-ion batteries

Journal of Energy Storage 2026

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Authors: Andaç Batur Çolak

DOI: 10.1016/j.est.2026.121325

Cited by: 2

References: 28

Fields of Study & Subjects

Advanced Battery Technologies Research Machine Learning in Materials Science Thermal Expansion and Ionic Conductivity

References 28