Investigation of Immersion Cooling Efficiency for Lithium-Ion Battery Pack with Machine Learning Validation

Author:

S. Shivaranjini1,Srivastava Neetu1,Pati Peeta Basa2

Affiliation:

1. Amrita Vishwa Vidyapeetham,Amrita School of Engineering,Dept. of Mathematics,Bengaluru,India

2. Amrita Vishwa Vidyapeetham,Amrita School of Computing,Dept. of Computer Science and Engineering,Bengaluru,India

Publisher

IEEE

Reference18 articles.

1. Machine Learning-Based Optimal Cell Balancing Mechanism for Electric Vehicle Battery Management System

2. Model based fault classification method for electric vehicle pertained lithium-ion batteries using multi layer perceptron;shanmughasundaram;2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE),2020

3. Numerical and analytical modeling of lithium ion battery thermal behaviors with different cooling designs

4. Validation of a data-driven fast numerical model to simulate the immersion cooling of a lithium-ion battery pack

5. Machine learning algorithms-a review;mahesh;International Journal of Science and Research (IJSR) [Internet],2020

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