Determination of lithium-ion battery state-of-health based on constant-voltage charge phase
By A. Eddahech, O. Briat, J. Vinassa. 2014
160 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3e02aa141d836b53f9fe389dbe715750cb9d6751
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- David Flynn
- Chunting Chris Mi
- Michael G. Pecht
- Wenxin Huang
- Valentin Robu
- Yuhong Fu
- Bing Xia
- Jufeng Yang
In Electrical and Electronic Engineering
- David Flynn
- Chunting Chris Mi
- Michael G. Pecht
- Wenxin Huang
- Valentin Robu
- Yuhong Fu
- Bing Xia
- Jufeng Yang
Citations in the corpus
- Machine learning pipeline for battery state-of-health estimation (2021, methodology): “CVCT has already been considered as input to SOH methods in the additional studies [72], [73].”
- Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis (2018, background): “more than 30min for batteries in [46,56,57]).”