Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Mohammed Zaheeruddin"'
Autor:
Nicolae Tudoroiu, Mohammed Zaheeruddin, Roxana-Elena Tudoroiu, Mihai Sorin Radu, Hana Chammas
Publikováno v:
Vehicles, Vol 5, Iss 2, Pp 535-564 (2023)
The main objective of this research paper was to develop two intelligent state estimators using shallow neural network (SNN) and NARX architectures from a large class of deep learning models. This research developed a new modelling design approach, n
Externí odkaz:
https://doaj.org/article/64cedbb61a614a44a333ce6142ba7c38
Autor:
Nicolae Tudoroiu, Mohammed Zaheeruddin, Roxana-Elena Tudoroiu, Mihai Sorin Radu, Hana Chammas
Publikováno v:
Inventions, Vol 8, Iss 3, p 74 (2023)
This research paper aims to design and implement an intelligent least short time memory (LSTM) deep learning classification technique to detect possible anomalies in measurements dataset within a particular Li-ion battery type. For the state of charg
Externí odkaz:
https://doaj.org/article/428dfa34ad3741a0b249a5a3cfbffaac
Publikováno v:
Batteries, Vol 6, Iss 3, p 42 (2020)
Battery state of charge (SOC) accuracy plays a vital role in a hybrid electric vehicle (HEV), as it ensures battery safety in a harsh operating environment, prolongs life, lowers the cost of energy consumption, and improves driving mileage. Therefore
Externí odkaz:
https://doaj.org/article/f41065bb793b4c5ea350d7c0e8ca54ff
Publikováno v:
Batteries, Vol 6, Iss 3, p 41 (2020)
The purpose of this paper is to analyze the accuracy of three state of charge (SOC) estimators of a rechargeable Li-ion SAFT battery based on two accurate Li-ion battery models, namely a linear RC equivalent electrical circuit (ECM) and a nonlinear S
Externí odkaz:
https://doaj.org/article/7a0d3dd2a9bd42ee9f14a2222d70b935
Publikováno v:
Energies, Vol 13, Iss 11, p 2749 (2020)
Estimating the state of charge (SOC) of Li-ion batteries is an essential task of battery management systems for hybrid and electric vehicles. Encouraged by some preliminary results from the control systems field, the goal of this work is to design an
Externí odkaz:
https://doaj.org/article/540b932064174e2a8b0cdcf54bb3dadd
Publikováno v:
Batteries, Vol 4, Iss 2, p 19 (2018)
The Li-Ion battery state-of-charge estimation is an essential task in a continuous dynamic automotive industry for large-scale and successful marketing of hybrid electric vehicles. Also, the state-of-charge of any rechargeable battery, regardless of
Externí odkaz:
https://doaj.org/article/f431216d7e67476fb3ee14e37007ac5c
Akademický článek
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Autor:
Roxana-Elena, Tudoroiu, Mohammed, Zaheeruddin, Nicolae, Tudoroiu, Mihai, Radu, Sorin, Hana, Chammas
This research investigated different nonlinear models, state estimation techniques and control strategies applied to rechargeable Li-ion batteries and electric motors powered and adapted to these batteries. The finality of these investigations was ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=intech______::041eeaab1597c555738b979e16d6dec3
https://mts.intechopen.com/articles/show/title/investigations-of-different-approaches-for-controlling-the-speed-of-an-electric-motor-with-nonlinear
https://mts.intechopen.com/articles/show/title/investigations-of-different-approaches-for-controlling-the-speed-of-an-electric-motor-with-nonlinear
Akademický článek
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Akademický článek
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