Zobrazeno 1 - 10
of 247
pro vyhledávání: '"Moussa Boukhnifer"'
Autor:
Moussa Boukhnifer, Larbi Djilali
Publikováno v:
Energies, Vol 17, Iss 10, p 2250 (2024)
Nowadays, the increasing use of electrical machines and devices in more critical applications has driven the research in condition monitoring and fault tolerance [...]
Externí odkaz:
https://doaj.org/article/351480c74fea439b854dcd46784a0024
Publikováno v:
Diagnostyka, Vol 24, Iss 1, Pp 1-10 (2023)
The three-phase induction motor is well suited for a wide range of mobile drives, specifically for electric vehicle powertrain. During the entire life cycle of the electric motor, some types of failures can occur, with stator winding failure being th
Externí odkaz:
https://doaj.org/article/80d1e73e6eb14d1aa44264c82773e08b
Publikováno v:
Energies, Vol 16, Iss 14, p 5310 (2023)
This paper proposes a modular modeling towards a health system integration of fuel cells by considering not only the dynamics of the gases but also fault models that affect the PEMFC performances. The main goal is to simulate the faulty state in orde
Externí odkaz:
https://doaj.org/article/5e2860c433cf481bb445508096bc296c
Autor:
Olaoluwa Demola Aladetola, Mondher Ouari, Yakoub Saadi, Tedjani Mesbahi, Moussa Boukhnifer, Kondo Hloindo Adjallah
Publikováno v:
Energies, Vol 16, Iss 6, p 2701 (2023)
The electric machine and the control system determine the performance of the electric vehicle drivetrain. Unlike rare-earth magnet machines such as permanent magnet synchronous machines (PMSMs), synchronous reluctance machines(SynRMs) are manufacture
Externí odkaz:
https://doaj.org/article/4d4b410a06d146cf9e41e6f5134eb7d2
Autor:
Yesid Bello, Juan Sebastian Roncancio, Toufik Azib, Diego Patino, Cherif Larouci, Moussa Boukhnifer, Nassim Rizoug, Fredy Ruiz
Publikováno v:
Energies, Vol 16, Iss 4, p 1950 (2023)
Increasing the range of electric vehicles (EVs) is possible with the help of eco-driving techniques, which are algorithms that consider internal and external factors, like performance limits and environmental conditions, such as weather. However, the
Externí odkaz:
https://doaj.org/article/c9dac652c8224847b009830f4a4dc562
Publikováno v:
IEEE Access, Vol 8, Pp 56992-57002 (2020)
Innovative technologies and naturalistic driving data sources provide a great potential to develop reliable autonomous driving systems. Understanding the behaviors of surrounding vehicles is essential for improving safety and mobility of autonomous v
Externí odkaz:
https://doaj.org/article/34fe2daec43a45dabbd4306eeb9d5d77
Autor:
Jose A. Ruz-Hernandez, Larbi Djilali, Mario Antonio Ruz Canul, Moussa Boukhnifer, Edgar N. Sanchez
Publikováno v:
Energies, Vol 15, Iss 23, p 8975 (2022)
This paper presents the development of a neural inverse optimal control (NIOC) for a regenerative braking system installed in electric vehicles (EVs), which is composed of a main energy system (MES) including a storage system and an auxiliary energy
Externí odkaz:
https://doaj.org/article/fc4f9c79c95f429384f7b2062e34fe20
Publikováno v:
Sensors, Vol 22, Iss 21, p 8148 (2022)
Despite the great technological advances in ADAS, autonomous driving still faces many challenges. Among them is improving decision-making algorithms so that vehicles can make the right decision inspired by human driving. Not only must these decisions
Externí odkaz:
https://doaj.org/article/cf8fdd29432d4d6a99f988a9ba4554dd
Publikováno v:
SSRN Electronic Journal.
Modelling and fixed order robust H ∞ control of aerial vehicle : Simulation and experimental results
Publikováno v:
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2016, Vol. 35, Issue 3, pp. 1064-1085.