Cargando…
Research on Minimization of Data Set for State of Charge Prediction
The quick estimation and prediction of lithium-ion batteries’ (LIBs) state of charge (SoC) are attracting growing attention, since the LIB has become one of the most essential power sources for daily consumer electronics. Most deep learning methods require plenty of data and more than two LIB parame...
Autores principales: | Liu, Tun, Zhao, Jundong, Xiang, Chaoqun, Cheng, Shu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839965/ https://www.ncbi.nlm.nih.gov/pubmed/35161846 http://dx.doi.org/10.3390/s22031101 |
Ejemplares similares
-
Minimal-active-space multistate density functional theory for excitation energy involving local and charge transfer states
por: Zhao, Ruoqi, et al.
Publicado: (2021) -
Development of minimal basic data set to report COVID-19
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2020) -
A Learning Set Up for Detecting Minimally Conscious State (MCS)
por: Kim, Eun Joo, et al.
Publicado: (2012) -
A minimal common outcome measure set for COVID-19 clinical research
Publicado: (2020) -
Minimizing charges associated with the determination of brain death
por: Jenkins, Donald H, et al.
Publicado: (1997)