FIRG025 - Battery state-of-charge estimation using machine learning analysis of ultrasonic signatures (2022)

First Author: Galiounas E

Attributed to: The Faraday Institution funded by ISCF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.egyai.2022.100188

Publication URI: http://dx.doi.org/10.1016/j.egyai.2022.100188

Type: Journal Article/Review

Parent Publication: Energy and AI