Two‐layer online state‐of‐charge estimation of lithium‐ion battery with current sensor bias correction-Reference-Cited by-同舟云学术

Two‐layer online state‐of‐charge estimation of lithium‐ion battery with current sensor bias correction

Published:2019-05-06 Issue:8 Volume:43 Page:3837-3852
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

He Jiangtao¹^ORCID,Feng Daiwei²,Hu Chuan³,Wei Zhongbao⁴,Yan Fengjun¹

Affiliation:

1. Department of Mechanical EngineeringMcMaster University Hamilton Ontario Canada

2. School of Mechatronics EngineeringUniversity of Electronics Science and Technology of China Chengdu China

3. Department of Mechanical EngineeringUniversity of Texas at Austin Austin Texas

4. National Engineering Laboratory for Electric Vehicles, School of Mechanical EngineeringBeijing Institute of Technology Beijing China

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.4557

Reference44 articles.

1. Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus

2. On state-of-charge determination for lithium-ion batteries

3. Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery

4. Battery state of health estimation: a structured review of models, methods and commercial devices

5. MendozaS LiuJ MishraP FathyHK.Statistical quantification of least‐squares battery state of charge estimation errors. In Proceedings of the ASME 2016 Dynamic Systems and Controls Conference. doi: 10.1115/DSCC2016‐9750.

Cited by 18 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 joint prediction strategy for state of charge and peak power of lithium-ion batteries by considering hysteresis characteristics-current measurement deviation correction;Journal of Energy Storage;2024-04

2. An Overview of State Estimation for Battery Management Systems;2023 15th Seminar on Power Electronics and Control (SEPOC);2023-10-22

3. State-of-Charge Estimation of Batteries for Hybrid Urban Air Mobility;Aerospace;2023-06-08

4. State of Charge and State of Health estimation in large lithium-ion battery packs;2023 American Control Conference (ACC);2023-05-31

5. Robust Estimation of State of Charge in Lithium Iron Phosphate Cells Enabled by Online Parameter Estimation and Deep Neural Networks;IFAC-PapersOnLine;2023