We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
State of Charge Estimation for Lithium-Ion Batteries Based on Temperature-Dependent Second-Order RC Model.
- Authors
Xu, Yidan; Hu, Minghui; Fu, Chunyun; Cao, Kaibin; Su, Zhong; Yang, Zhong
- Abstract
Accurate estimation of battery state of charge (SOC) is of great significance for extending battery life, improving battery utilization, and ensuring battery safety. Aiming to improve the accuracy of SOC estimation, in this paper, a temperature-dependent second-order RC equivalent circuit model is established for lithium-ion batteries, based on the battery electrical characteristics at different ambient temperatures. Then, a dual Kalman filter algorithm is proposed to estimate the battery SOC, using the proposed equivalent circuit model. The SOC estimation results are compared with the SOC value obtained from experiments, and the estimation errors under different temperature conditions are found to be within ±0.4%. These results prove that the proposed SOC estimation algorithm, based on a temperature-dependent second-order RC equivalent circuit model, provides accurate SOC estimation performance with high temperature adaptability and robustness.
- Subjects
LITHIUM-ion batteries; ELECTRIC batteries; KALMAN filtering; RC circuits; HIGH temperatures; ELECTRIC vehicle batteries
- Publication
Electronics (2079-9292), 2019, Vol 8, Issue 9, p1012
- ISSN
2079-9292
- Publication type
Article
- DOI
10.3390/electronics8091012