An ensemble learning-based data-driven method for online state-of-health estimation of lithium-ion batteries

• Main Authors: Gou, Bin, Xu, Yan, Feng, Xue
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Batteries; Estimation
• Online Access: https://hdl.handle.net/10356/159841
• Institution: Nanyang Technological University

The state-of-health (SOH) estimation of lithium-ion batteries (LIBs) is of great importance to the safety of systems. In this article, a novel ensemble learning method is proposed to accurately estimate the SOH of LIBs. A feature defined as the duration of the same charging voltage range (DSCVR) is...