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Battery State-of-Health Estimation Using Machine Learning and Preprocessing with Relative State-of-Charge

Autor: Sungwoo Jo, Sunkyu Jung, Taemoon Roh

Publikováno v: Energies, Vol 14, Iss 21, p 7206 (2021)

Because lithium-ion batteries are widely used for various purposes, it is important to estimate their state of health (SOH) to ensure their efficiency and safety. Despite the usefulness of model-based methods for SOH estimation, the difficulties of b

Externí odkaz: https://doaj.org/article/85d0be4c45ce4c6ba53a4f5fc0b08fa5

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Battery State-of-Health Estimation Using Machine Learning and Preprocessing with Relative State-of-Charge

Autor: Sunkyu Jung, Taemoon Roh, Sungwoo Jo

Publikováno v: Energies, Vol 14, Iss 7206, p 7206 (2021)
Energies; Volume 14; Issue 21; Pages: 7206

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7161979672159d154912a5cca6c1b23
https://www.mdpi.com/1996-1073/14/21/7206

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Design study of linearized AlGaAs/GaAs HBTs using Volterra series

Autor: Young-Sik Kim, Woonyun Kim, Bumman Kim, Taemoon Roh, Joon Woo Lee

Publikováno v: 1996 IEEE MTT-S International Microwave Symposium Digest.

The intermodulation (IM) mechanism of HBT has been studied theoretically and experimentally. Volterra series analysis with an analytical nonlinear HBT model shows that IP3 can be greatly enhanced by using a punch-through collector structure. It is al

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b7409963c26139731d42a3273efef9aa
https://doi.org/10.1109/mwsym.1996.512287

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