FIRG005 - A rapid neural network-based state of health estimation scheme for screening of end of life electric vehicle batteries (2020)
Attributed to:
The Faraday Institution
funded by
ISCF
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1177/0959651820953254
Publication URI: http://dx.doi.org/10.1177/0959651820953254
Type: Journal Article/Review
Parent Publication: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
Issue: 3