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About the Project

The prediction of the degradation of lithium-ion batteries is essential for various applications and optimized recycling schemes. In order to address this issue, this study aims to predict the cycle lives of lithium-ion batteries using only data from early cycles. To reach such an objective, experimental raw data for 121 commercial lithium iron phosphate/graphite cells are gathered from the literature. The data are analyzed, and suitable input features are generated for the use of different machine learning algorithms

Department and Campus

Department of Electrical and Electronics Engineering, School of Engineering, Coimbatore

Skillsets Preferred from Applicants



Machine Learning
Dr. Suyampu Lingam A.

Assistant Professor (Sr. Gr.)

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