Analysis of Optimal Machine Learning Approach for Battery Life Estimation of Li-Ion Cell
Project Code :TEMBMA3631
Objective
The study aims to identify effective machine learning algorithms for predicting the lifespan and performance of lithium-ion batteries by analyzing factors influencing degradation. It seeks to enhance prediction accuracy and provide insights for optimizing battery management systems, ultimately improving battery efficiency and longevity.
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Paper Publishing
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