Conference
State-of-Charge Estimation of Lithium-Ion Battery Based on an Improved Kalman Filter
Abstract
Accurate state-of-charge (SOC) estimation is essential to battery management system. The widely adopted estimation methods based on Kalman Filter (KF) fail to take the variable environmental conditions into consideration, which may result in a poor accuracy. This paper proposes a novel estimation model based on KF method to estimate SOC of Lithium-ion battery. In the proposed model, the noise variances are optimized for the system current state …
Authors
Fang H; Zhang Y; Liu M; Shen W
Pagination
pp. 515-520
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
April 1, 2017
DOI
10.1109/cscwd.2017.8066747
Name of conference
2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD)