Skip to main content
Have a personal or library account? Click to login
A Python Package to Preprocess the Data Produced by Novonix High-Precision Battery-Testers Cover

A Python Package to Preprocess the Data Produced by Novonix High-Precision Battery-Testers

Open Access
|Mar 2020

References

  1. Burns, J C, Stevens, D E, Dahn, J R 2015 In-Situ Detection of Lithium Plating Using High Precision Coulometry. J. Electrochem. Soc., 162(6): A959A964. DOI: 10.1149/2.0621506jes
  2. Csala, D, Hoster, H E 2017 Emissions: Step on the natural gas for German cars. Nature, 541: 157. DOI: 10.1038/541157b
  3. Li, Y, Zou, C, Berecibar, M, Nanini-Maury, E, Chan, J C W, van den Bossche, P, Van Mierlo, J, Omar, N 2018 Random forest regression for online capacity estimation of lithium-ion batteries. Applied Energy, 232: 197210. DOI: 10.1016/j.apenergy.2018.09.182
  4. Yang, Z 2011 Electrochemical Energy Storage for Green Grid. Chemical reviews, 111(5): 35773613. DOI: 10.1021/cr100290v
  5. Wu, B 2015 Differential thermal voltammetry for tracking of degradation in lithium-ion batteries. Journal of power sources, 273: 495501. DOI: 10.1016/j.jpowsour.2014.09.127
DOI: https://doi.org/10.5334/jors.281 | Journal eISSN: 2049-9647
Language: English
Submitted on: Jun 11, 2019
Accepted on: Feb 7, 2020
Published on: Mar 4, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 V. Gonzalez-Perez,, P. Keil, Y. Li, A. Zülke, R. Burrel, D. Csala, H. Hoster, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.