File(s) under embargo

Reason: Confidentiality required by consortium agreement

3804

days

13

hours

until file(s) become available

Research data for 'State of Charge Estimation in Lithium-Sulfur Cells using LSTM Recurrent Neural Networks'

dataset
posted on 22.07.2020 by Zhihuo Wang, Abbas Fotouhi, Daniel Auger
Full data set including time histories of voltage and current and MATLAB programs to perform the operations described in the research paper.

This dataset is embargoed for contractual reasons and we are not in a position to release it ahead of the specified embargo date.

Funding

ALISE Project, European Commission, H2020-NMP-GV-2014, Grant Agreement No. 666157

LiS:FAB Project, Innovate UK/Faraday Battery Challenge, TS/R013780/1

History

Authoriser (e.g. PI/supervisor)

d.j.auger@cranfield.ac.uk

Licence

Exports

Logo branding

Licence

Exports