State-of-Charge (SOC) Estimation of Lithium-Ion Battery Based on Unscented Kalman Filtering
Author:
Affiliation:
1. Shenyang Ligong University,College of Automation and Electrical Engineering,Liaoning,China
2. Chinese Academy of Sciences,Key Laboratory of Networked Control Systems,Shenyang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10574856/10574899/10575135.pdf?arnumber=10575135
Reference9 articles.
1. State of Charge Estimation of Li-Ion Battery Based on Improved Extended Kalman Filter
2. Adaptive parameters equivalent-circuit model of li-ion battery based on MlMO0 fuzzy control and SOC estimation;Wang;Information and Control,2015
3. Battery State of Charge Estimation Based on Interactive Multiple Model Kalman Filtering [J];Xia;Information and Control,2017
4. SOC estimation for Power Lithium-ion Battery Based on AUKF
5. Adjustable Scaling Parameters for State of Charge Estimation for Lithium-Ion Batteries Using Iterative Multiple UKFs
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