Initial value compensation of an adaptive fractional-order unscented Kalman filter for estimating the state of charge of lithium-ion batteries-Reference-Cited by-同舟云学术

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Initial value compensation of an adaptive fractional-order unscented Kalman filter for estimating the state of charge of lithium-ion batteries

Published:2023-10 Issue: Volume:70 Page:107857
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Miao Yue,Gao Zhe^ORCID,Xiao Shasha,Chai Haoyu

Funder

Shenyang Young and Middle-aged Science and Technology Innovation Talent Support Program

Natural Science Foundation of Liaoning Province

Scientific Research Fund of Liaoning Provincial Education Department

Publisher

Elsevier BV

Subject

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

Reference29 articles.

1. Research on online parameter identification and SOC estimation methods of lithium-ion battery model based on a robustness analysis;Wang;Int. J. Energy Res.,2021

2. SOC estimation for lithium-ion batteries based on a novel model;Li;IET Power Electron,2021

3. Parameter and state of charge estimation simultaneously for lithium-ion battery based on improved open circuit voltage estimation method;Gong;Energy Technol.,2021

4. A study on the impact of open circuit voltage tests on state of charge estimation for lithium-ion batteries;Lin;Appl. Energy,2017

5. State of charge and state of health estimation for lithium batteries using recurrent neural networks;Chaoui;IEEE Trans. Veh. Technol.,2017

Cited by 5 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. An improved cubature Kalman filter state prediction method based on the design of active denial tracking system;Review of Scientific Instruments;2024-08-01

2. Improved adaptive feedback particle swarm optimization-multi-innovation singular decomposition unscented Kalman filtering for high accurate state of charge estimation of lithium-ion batteries in energy storage systems;Ionics;2024-07-10

3. State of charge estimation of vehicle lithium-ion battery based on unscented Kalman filter;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

4. State of charge estimation of lithium-ion battery with an adaptive fractional-order cubature Kalman filter considering initial value problem;Journal of Energy Storage;2024-04

5. An Improved Multi-Timescale AEKF–AUKF Joint Algorithm for State-of-Charge Estimation of Lithium-Ion Batteries;Energies;2023-08-17

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