State-of-charge estimation for lithium-ion battery using Busse's adaptive unscented Kalman filter

• Main Authors: Yao, L. W., Aziz, J. A., Idris, N. R. N.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/73416/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964327219&doi=10.1109%2fCENCON.2015.7409544&partnerID=40&md5=88970ec4547b9b2a79bf1f7717854a93
• Institution: Universiti Teknologi Malaysia

State-of-charge estimation of rechargeable battery is vital to maximize the battery performance and ensure the safe operating condition. This paper presents state-of-charge estimation method for lithium-ion battery using adaptive unscented Kalman Filter. In this aspect, Busse's adaptive rule is...