An Enhanced Lithium-Ion Battery Model for Estimating the State of Charge and Degraded Capacity Using an Optimized Extended Kalman Filter-Reference-Cited by-同舟云学术

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An Enhanced Lithium-Ion Battery Model for Estimating the State of Charge and Degraded Capacity Using an Optimized Extended Kalman Filter

Published:2020 Issue: Volume:8 Page:208322-208336
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Imran Rasool M.^ORCID,Li Qiang,Flaih Firas M. F.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09261359.pdf?arnumber=9261359

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cross-Stitch Networks for Joint State of Charge and State of Health Online Estimation of Lithium-Ion Batteries;Batteries;2024-05-22

2. Enhanced Unscented Kalman Filter for Accurate State of Charge Estimation in Aerial Drone Lithium-Ion Batteries;2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS);2024-05-12

3. Innovative mode selective control and parameterization for charging Li-ion batteries in a PV system;AIMS Energy;2024

4. A review of battery state of charge estimation and management systems: Models and future prospective;WIREs Energy and Environment;2024-01

5. Estimation of state-of-charge and state-of-health for lithium-ion battery based on improved firefly optimized particle filter;Journal of Energy Storage;2023-09

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