An Adaptive State of Charge Estimation Method of Lithium-ion Battery Based on Residual Constraint Fading Factor Unscented Kalman Filter-Reference-Cited by-同舟云学术

An Adaptive State of Charge Estimation Method of Lithium-ion Battery Based on Residual Constraint Fading Factor Unscented Kalman Filter

Published:2022 Issue: Volume:10 Page:44549-44563
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Feng Juqiang¹^ORCID,Cai Feng¹,Yang Jing¹,Wang Shunli²^ORCID,Huang Kaifeng³

Affiliation:

1. State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, China

2. School of Information Engineering, Southwest University of Science and Technology, Mianyang, China

3. School of Mechanical and Electrical Engineering, Huainan Normal University, Huainan, China

Funder

Science Key Fund of Education Department of Anhui Province

Open Fund of State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines

Science and Technology Project of Huaneng Group Headquarters

Science and Technology Project of Huainan Science and Technology Bureau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09763062.pdf?arnumber=9763062

Reference52 articles.

1. Modeling of lithium-ion battery open circuit voltage by Hermite interpolation method;wei;Electr Meas Instrum,2018

2. Overview of Lithium-Ion Battery Modeling Methods for State-of-Charge Estimation in Electrical Vehicles

3. Improved parameter identification and state-of-charge estimation for lithium-ion battery with fixed memory recursive least squares and sigma-point Kalman filter

4. Estimation of Lithium‐Ion Battery State of Charge for Electric Vehicles Using an Adaptive Joint Algorithm

5. A novel safety assurance method based on the compound equivalent modeling and iterate reduce particle‐adaptive Kalman filtering for the unmanned aerial vehicle lithium ion batteries

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