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pro vyhledávání: '"Arora, Shashank"'
Publikováno v:
Applied Soft Computing July 2021
A key aspect for the forklifts is the state-of-health (SoH) assessment to ensure the safety and the reliability of uninterrupted power source. Forecasting the battery SoH well is imperative to enable preventive maintenance and hence to reduce the cos
Externí odkaz:
http://arxiv.org/abs/2107.05489
A Dynamic Battery State-of-Health Forecasting Model for Electric Trucks: Li-Ion Batteries Case-Study
Publikováno v:
ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) 2020 IMECE2020-23949, V008T08A021
It is of extreme importance to monitor and manage the battery health to enhance the performance and decrease the maintenance cost of operating electric vehicles. This paper concerns the machine-learning-enabled state-of-health (SoH) prognosis for Li-
Externí odkaz:
http://arxiv.org/abs/2103.16280
Akademický článek
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Autor:
Arora, Shashank1 (AUTHOR), Rana, Mausam1 (AUTHOR), Sachdev, Ananya1 (AUTHOR), D’Souza, Jacinta S1 (AUTHOR) jacinta@cbs.ac.in
Publikováno v:
Journal of Biosciences. Mar2023, Vol. 48 Issue 1, p1-27. 27p.
Autor:
Arora, Shashank
Publikováno v:
In Journal of Power Sources 1 October 2018 400:621-640
Publikováno v:
In Journal of Power Sources 28 February 2018 378:759-775
Publikováno v:
In Computers and Chemical Engineering 9 June 2017 101:81-94
Publikováno v:
In Journal of Power Sources 15 May 2017 350:117-126
Publikováno v:
In Renewable and Sustainable Energy Reviews July 2016 60:1319-1331