Data-driven methods for battery life prognosis

Funder	Engineering and Physical Sciences Research Council
Recipient Organization	University of Edinburgh
Country	United Kingdom
Start Date	Aug 31, 2021
End Date	Aug 30, 2025
Duration	1,460 days
Number of Grantees	2
Roles	Student; Supervisor
Data Source	UKRI Gateway to Research
Grant ID	`2590986`

Grant Description

PhD Project focuses on developing mathematical, statistical, and machine learning models for rechargeable battery life prognosis. Prognoses covered include end of life, remaining useful life and state of health of batteries. Also focus on model explainability, robustness, uncertainty, and deployment into production environment.