Real-time state of charge and capacity estimations of vanadium redox flow battery based on unscented Kalman filter with a forgetting factor-Reference-Cited by-同舟云学术

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Real-time state of charge and capacity estimations of vanadium redox flow battery based on unscented Kalman filter with a forgetting factor

Published:2023-12 Issue: Volume:74 Page:109146
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Zhao Xiaobo,Nam Junghyen,Jung Ho-Young,Jung Seunghun

Funder

National Research Foundation of Korea

Agency for Defense Development

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference38 articles.

1. Online monitoring of state of charge and capacity loss for vanadium redox flow battery based on autoregressive exogenous modeling;Wei;J. Power Sources,2018

2. Performance characterization of a vanadium redox flow battery at different operating parameters under a standardized test-bed system;Mohamed;Appl. Energy,2015

3. Battery management system for industrial-scale vanadium redox flow batteries: features and operation;Trovò;J. Power Sources,2020

4. State of charge estimation based on sliding mode observer for vanadium redox flow battery;Xiong,2018

5. State of charge estimation of vanadium redox battery based on improved extended Kalman filter;Qiu;ISA Trans.,2019

Cited by 3 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. Machine Learning Orchestrating the Materials Discovery and Performance Optimization of Redox Flow Battery;ChemElectroChem;2024-06-10

2. Estimation of battery temperature during drive cycle operation by the time evolution of voltage and current;Journal of Energy Storage;2024-06

3. State of Charge Estimation of Ultracapacitor Modules Based on Improved Sage-Husa Adaptive Unscented Kalman Filter Algorithm;Journal of Electrical Engineering & Technology;2024-03-18

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