Data for "Lithium-Sulfur Battery State-of-Charge Observability Analysis and Estimation"
Date
2017-11-21 11:49
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Cranfield University
Department
Type
Dataset
ISSN
Format
Free to read from
Citation
Fotouhi, Abbas; Auger, Daniel; Propp, Karsten; Longo, Stefano (2017). Data for "Lithium-Sulfur Battery State-of-Charge Observability Analysis and Estimation". Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.5297209
Abstract
3.4 Ah Li-S cell pulse discharge test data at 30 degree. File created in MATLAB 2015a.
Description
Software Description
Software Language
Github
Keywords
lithium-sulfur', 'battery', 'pulse test data', 'Automotive Mechatronics'
DOI
10.17862/cranfield.rd.5297209
Rights
CC BY 4.0
Relationships
Relationships
Supplements
Funder/s
This research was undertaken as part of two projects: the "Revolutionary Electric Vehicle Battery"™ (REVB) project, co-funded by Innovate UK /EPSRC (TS/L000903/1 and EP/L505286/1), and the "Understanding Future Vehicles"™ project funded by EPSRC (EP/I038586/1).