A Novel High-Fidelity Unscented Particle Filtering Method for the Accurate State of Charge Estimation of Lithium-Ion Batteries

• Published in: International journal of electrochemical science Vol. 16; no. 6; p. 210623
• Main Authors: Xie, Yanxin, Wang, Shunli, Fernandez, Carlos, Yu, Chunmei, Fan, Yongcun, Cao, Wen
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2021
• Subjects: autoregressive; high-fidelity unscented particle filter algorithm; second-order Thevenin model; state of charge; ternary Li-ion batteries; state of charge; second-order Thevenin model; autoregressive; ternary Li-ion batteries; high-fidelity unscented particle filter algorithm
• ISSN: 1452-3981; 1452-3981
• DOI: 10.20964/2021.06.38

Power Li-ion batteries are one of the core "three powers" systems of new energy vehicles, and its accurate batteries modeling and state prediction have become the core technology of the scientific and technological progress in the industry. This paper takes the ternary Li-ion batteries as...