Data-driven identification of lithium-ion batteries: A nonlinear equivalent circuit model with diffusion dynamics
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction
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1. Understanding of Lithium-ion battery degradation using multisine-based nonlinear characterization method;Energy;2024-03
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3. An estimation method for the state-of-charge of lithium-ion battery based on PSO-LSTM;AIP Advances;2023-11-01
4. A Comparative Study of Equivalent Circuit Models with Diverse Nonlinear Dynamics for Li-Ion Batteries;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16
5. Deep learning to predict battery voltage behavior after uncertain cycling-induced degradation;Journal of Power Sources;2023-10
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