AI-Driven Prediction of State of Health of Lithium-Ion Batteries Using Instantaneous Internal Resistance Values

Lecture notes in electrical engineering 2026

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Authors: V. Jagadeesh, Adhithya Tatineni Prakash, P. Sivakumar

DOI: 10.1007/978-981-95-0207-3_42

Cited by: 0

References: 16

Fields of Study & Subjects

Advanced Battery Technologies Research Advancements in Battery Materials Structural Health Monitoring Techniques

References 16