File(s) under embargo

Reason: Required by LiS:FAB consortium agreement.

9

year(s)

10

month(s)

17

day(s)

until file(s) become available

Research Data for Likelihood Partitioned Bayesian Filters for Lithium-Sulfur Battery State Estimation

dataset
posted on 30.04.2021, 16:08 by Srinivasan Munisamy, Daniel Auger, Abbas Fotouhi, Neda Shateri, Bob Hawkes, Euthymios Kappos
This folder contains a set of data and MATLAB 2020b programs and data that were used in the paper that wiull reference this data set.

Funding

Zephyr Innovation Programme (ZIP)

Innovate UK

Find out more...

Lithium Sulfur: Future Automotive Battery (LiS:FAB)

Innovate UK

Find out more...

Lithium sulphur for SAfe road electrification

European Commission

Find out more...

History

Authoriser (e.g. PI/supervisor)

d.j.auger@cranfield.ac.uk

Licence

Exports