State of Charge Estimation of Lithium-ion Batteries Based on An Adaptive Cubature Kalman Filter
Author:
Affiliation:
1. Liaoning University,School of Mathematics and Statistics,Shenyang,P R China
2. Liaoning University,College of Light Industry,Shenyang,P R China
Funder
Natural Science Foundation of Liaoning Province
Scientific Research Fund of Liaoning Provincial Education Department
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10326447/10326467/10327453.pdf?arnumber=10327453
Reference15 articles.
1. Combined State of Charge and State of Energy Estimation of Lithium-Ion Battery Using Dual Forgetting Factor-Based Adaptive Extended Kalman Filter for Electric Vehicle Applications
2. A novel fuzzy adaptive cubature Kalman filtering method for the state of charge and state of energy co-estimation of lithium-ion batteries
3. An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery
4. State of charge and parameters estimation for Lithium-ion battery using dual adaptive unscented Kalman filter
5. A Comparative Study of Observer-Based State-of-Charge Estimation using Single-Particle Model with Electrolyte Dynamics and Equivalent Circuit Model of Lithium-ion Cells
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