Uncertainty Management in Lebesgue-Sampling-Based Li-Ion Battery SFP Model for SOC Estimation and RDT Prediction-Reference-Cited by-同舟云学术

Uncertainty Management in Lebesgue-Sampling-Based Li-Ion Battery SFP Model for SOC Estimation and RDT Prediction

Published:2023-04 Issue:2 Volume:28 Page:611-620
ISSN:1083-4435
Container-title:IEEE/ASME Transactions on Mechatronics
language:
Short-container-title:IEEE/ASME Trans. Mechatron.

Author:

Liu Enhui¹^ORCID,Wang Xuan¹^ORCID,Niu Guangxing¹^ORCID,Lyu Dongzhen²^ORCID,Yang Tao²^ORCID,Zhang Bin¹^ORCID

Affiliation:

1. Department of Electrical Engineering, University of South Carolina, Columbia, SC, USA

2. China–EU Institute for Clean and Renewable Energy and the School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/3516/10103747/09900063.pdf?arnumber=9900063

Reference33 articles.

1. Effect of integrating the hysteresis component to the equivalent circuit model of Lithium-ion battery for dynamic and non-dynamic applications

2. Global Parameter Sensitivity Analysis of Electrochemical Model for Lithium-Ion Batteries Considering Aging

3. Hysteresis Compensation and Nonlinear Observer Design for State-of-Charge Estimation Using a Nonlinear Double-Capacitor Li-Ion Battery Model

4. Comparative Research on RC Equivalent Circuit Models for Lithium-Ion Batteries of Electric Vehicles

5. Lebesgue-Time–Space-Model-Based Diagnosis and Prognosis for Multiple Mode Systems

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