Artificial Intelligence-based Battery State-of-Health (SoH) Prediction through battery data characteristics analysis

• Published in: 2022 IEEE/IAS 58th Industrial and Commercial Power Systems Technical Conference (I&CPS) pp. 1 - 6
• Main Authors: Choi, Sungsan, Jang, Hyeonwoo, Han, Hohyeon, Park, Sangmin, Choi, Myeong-In, Park, Sehyun
• Format: Conference Proceeding
• Language: English
• Published: IEEE 02.05.2022
• Subjects: Artificial Intelligence; Battery; Deep learning; Energy Data; Lithium-ion batteries; Machine learning; Machine learning algorithms; NASA; Prediction algorithms; SoH; Stability analysis; State-of-Health; Support vector machines

Batteries are used in various places, including portable devices and energy storage devices. However, due to aging batteries, it is broken or in severe cases, an explosion accident is occurring. Therefore, research on the stability and life of batteries continues. However, prediction of battery SoH...