Estimation of State of Charge and State of Health of Lithium‐Ion Batteries Based on a New Adaptive Nonlinear Observer-Reference-Cited by-同舟云学术

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Estimation of State of Charge and State of Health of Lithium‐Ion Batteries Based on a New Adaptive Nonlinear Observer

Published:2021-10-04 Issue:11 Volume:4 Page:2100258
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Adv. Theory Simul.

Author:

Sakile Rajakumar¹^ORCID,Sinha Umesh Kumar¹^ORCID

Affiliation:

1. Department of Electrical Engineering NIT Jamshedpur Jharkhand 831014 India

Publisher

Wiley

Subject

Multidisciplinary,Modelling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.202100258

Reference43 articles.

1. A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations

2. A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations

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

4. Battery charge equalization controller in electric vehicle applications: A review

5. State‐of‐charge estimation technique for lithium‐ion batteries by means of second‐order extended Kalman filter and equivalent circuit model: Great temperature robustness state‐of‐charge estimation

Cited by 9 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. A Review of Lithium-Ion Battery State of Charge Estimation Methods Based on Machine Learning;World Electric Vehicle Journal;2024-03-25

2. An Initial Value Problem for State of Charge Estimation of Lithium‐Ion Batteries with an Adaptive Fractional‐Order Unscented Particle Filter;Advanced Theory and Simulations;2023-09-10

3. A chaotic firefly - Particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance;Energy;2023-01

4. State-of-Charge Estimation in Lithium-Ion Battery for Electric Vehicle Applications: A Comparative Review;Recent Advances in Power Electronics and Drives;2023

5. A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries;Electrochimica Acta;2022-12

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