State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression

• Published in: Energy (Oxford) Vol. 190; p. 116467
• Main Authors: Li, Xiaoyu, Yuan, Changgui, Li, Xiaohui, Wang, Zhenpo
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.01.2020; Elsevier BV
• Subjects: Aging; Batteries; Covariance; Degradation; Energy storage; Feature extraction; Gaussian process; Gaussian regression process; Health; Incremental capacity analysis; Lithium; Lithium batteries; Lithium-ion batteries; Maintenance costs; Predictions; Product safety; Regression analysis; Regression models; Reliability; State of health; Lithium-ion batteries; Incremental capacity analysis; Gaussian regression process; State of health

The state of health for lithium battery is necessary to ensure the reliability and safety for battery energy storage system. Accurate prediction battery state of health plays an extremely important role in guaranteeing safety and minimizing maintenance costs. However, the complex physicochemical cha...