most citedImpedance-based Capacity Estimation for Lithium-Ion Batteries Using Generative Adversarial Network

7 citations · 8 across the 2 of their papers we have counts for

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2 papers

eess.SP2023★ 1 cited

Model-Free Reconstruction of Capacity Degradation Trajectory of Lithium-Ion Batteries Using Early Cycle Data

Seongyoon Kim, Hangsoon Jung, Minho Lee +2

Early degradation prediction of lithium-ion batteries is crucial for ensuring safety and preventing unexpected failure in manufacturing and diagnostic processes. Long-term capacity…

eess.SP2021★ 7 cited

Impedance-based Capacity Estimation for Lithium-Ion Batteries Using Generative Adversarial Network

Seongyoon Kim, Yun Young Choi, Jung-Il Choi

This paper proposes a fully unsupervised methodology for the reliable extraction of latent variables representing the characteristics of lithium-ion batteries (LIBs) from electroch…