Lithium Battery SOC Estimation Based on Multi-Innovation Unscented and Fractional Order Square Root Cubature Kalman Filter
Accurate state-of-charge (SOC) estimation of lithium batteries is of great significance for electric vehicles. In this paper, a combined estimation method of multi-innovation unscented Kalman filter (MIUKF) and fractional order square root cubature Kalman filter (FSRCKF) for lithium batteries is pro...
Main Authors: | Likun Xing, Xianyuan Wu, Liuyi Ling, Lu Lu, Liang Qi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/19/9524 |
Similar Items
-
State-of-Charge Estimation of Lithium-Ion Batteries Based on Fractional-Order Square-Root Unscented Kalman Filter
by: Liping Chen, et al.
Published: (2022-01-01) -
Fuzzy Adaptive Cubature Kalman Filter for Integrated Navigation Systems
by: Chien-Hao Tseng, et al.
Published: (2016-07-01) -
Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements
by: Samer Sahl, et al.
Published: (2024-01-01) -
A New State of Charge Estimation Algorithm for Lithium-Ion Batteries Based on the Fractional Unscented Kalman Filter
by: Yixing Chen, et al.
Published: (2017-09-01) -
Battery State-Of-Charge Estimation Based on a Dual Unscented Kalman Filter and Fractional Variable-Order Model
by: Ming Cai, et al.
Published: (2017-10-01)