Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Pranaya K. Terala"'
Publikováno v:
IEEE Access, Vol 12, Pp 33705-33719 (2024)
Conventional model-based probabilistic inference methods require increasingly complex models to improve Electric Vehicle (EV) battery State of Charge (SOC) estimation. Deep learning methods gained popularity in recent years with their model free esti
Externí odkaz:
https://doaj.org/article/2460c60720a24d3d9e5da3971e6d42e1
Publikováno v:
Micromachines, Vol 13, Iss 9, p 1397 (2022)
Energy storage technologies are being used excessively in industrial applications and in automobiles. Battery state of charge (SOC) is an important metric to be monitored in these applications to ensure proper and safe functionality. Since SOC cannot
Externí odkaz:
https://doaj.org/article/10444543829748efb1622f3ebc79dc71