An improved adaptive spherical unscented Kalman filtering method for the accurate state‐of‐charge estimation of lithium‐ion batteries-Reference-Cited by-同舟云学术

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An improved adaptive spherical unscented Kalman filtering method for the accurate state‐of‐charge estimation of lithium‐ion batteries

Published:2022-06-13 Issue:10 Volume:50 Page:3487-3502
ISSN:0098-9886
Container-title:International Journal of Circuit Theory and Applications
language:en
Short-container-title:Circuit Theory & Apps

Author:

Qi Chuangshi¹^ORCID,Wang Shunli¹^ORCID,Cao Wen¹^ORCID,Yu Peng¹^ORCID,Xie Yanxin¹^ORCID

Affiliation:

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

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cta.3356

Reference50 articles.

1. Commercialization of Lithium Battery Technologies for Electric Vehicles

2. Cost and carbon footprint reduction of electric vehicle lithium-ion batteries through efficient thermal management

3. Comparative life cycle assessment of lithium-ion batteries for electric vehicles addressing capacity fade

4. Development of a Comprehensive Model for the Coulombic Efficiency and Capacity Fade of LiFePO4 Batteries under Different Aging Conditions

5. Optimal State-of-Charge Value for Charge-Sustaining Mode of Plug-In Hybrid Electric Vehicles

Cited by 10 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. Improved K-means clustering-genetic backpropagation modeling for online state-of-charge estimation of lithium-ion batteries adaptive to low-temperature conditions;Journal of Energy Storage;2024-10

2. Improved chaotic particle butterfly optimization-cubature Kalman filtering for accurate state of charge estimation of lithium-ion batteries adaptive to different temperature conditions;Ionics;2024-08-28

3. Improved noise bias compensation-equivalent circuit modeling strategy for battery state of charge estimation adaptive to strong electromagnetic interference;Journal of Energy Storage;2023-12

4. An improved fractional‐order state estimation algorithm based on an unscented particle filter for state of charge estimation of lithium‐ion batteries with adaptive estimations of unknown parameters;International Journal of Circuit Theory and Applications;2023-11-27

5. Improved Backward Smoothing Square Root Cubature Kalman Filtering and Fractional Order—Battery Equivalent Modeling for Adaptive State of Charge Estimation of Lithium‐Ion Batteries in Electric Vehicles;Energy Technology;2023-10-02

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