Physics-Based Model Predictive Control for Power Capability Estimation of Lithium-Ion Batteries-Reference-Cited by-同舟云学术

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Physics-Based Model Predictive Control for Power Capability Estimation of Lithium-Ion Batteries

Published:2023-11 Issue:11 Volume:19 Page:10763-10774
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Li Yang¹^ORCID,Wei Zhongbao²^ORCID,Xie Changjun³^ORCID,Vilathgamuwa D. Mahinda⁴^ORCID

Affiliation:

1. Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden

2. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China

3. School of Automation, Wuhan University of Technology, Wuhan, China

4. School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, QLD, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10255543/10035432.pdf?arnumber=10035432

Reference26 articles.

1. Model-Based Electrochemical Estimation and Constraint Management for Pulse Operation of Lithium Ion Batteries

2. Comparative study of methods for integrated model identification and state of charge estimation of lithium-ion battery

3. Electrochemical Estimation and Control for Lithium-Ion Battery Health-Aware Fast Charging

4. A physics-based distributed-parameter equivalent circuit model for lithium-ion batteries

5. A comprehensive review of on-board State-of-Available-Power prediction techniques for lithium-ion batteries in electric vehicles

Cited by 4 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 Data-Driven Reinforcement Learning Enabled Battery Fast Charging Optimization Using Real-World Experimental Data;IEEE Transactions on Industrial Electronics;2024

2. Control Strategy-Oriented Power Capability Online Estimation of Lithium Titanate Batteries for Battery Electric Locomotives;2024

3. Modelling and Estimation in Lithium-Ion Batteries: A Literature Review;Energies;2023-09-27

4. Review on Li-ion Battery Parameter Extraction Methods;IEEE Access;2023

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