Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Ahmed Chaibet"'
Publikováno v:
IEEE Access, Vol 12, Pp 105027-105041 (2024)
Autonomous vehicle lane change maneuvers are an intricate task that requires multiple subsystems to work together to ensure the maneuver’s safety and efficiency. This research paper investigates lane change maneuvers of autonomous vehicles, utilizi
Externí odkaz:
https://doaj.org/article/165f1e3667d640faba6c6bf8a34a4115
Publikováno v:
The Journal of Engineering, Vol 2023, Iss 11, Pp n/a-n/a (2023)
Abstract This abstract discusses the significant progress made in autonomous vehicles, focusing on decision‐making systems and control algorithms. It explores recent advances, challenges, and contributions in the field, emphasizing the need for pre
Externí odkaz:
https://doaj.org/article/bda56fc424194bee968573c2b27d1d51
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:
Applied Sciences, Vol 13, Iss 11, p 6700 (2023)
Autonomous driving has the potential to revolutionize mobility and transportation by reducing road accidents, alleviating traffic congestion, and mitigating air pollution. This transformation can result in energy efficiency, enhanced convenience, and
Externí odkaz:
https://doaj.org/article/36b62c43eb214307a3f8b0eb92a2f3a7
Publikováno v:
Energies, Vol 16, Iss 6, p 2645 (2023)
Integrating hydrogen fuel cell systems (FCS) remains challenging in the expanding electric vehicle market. One of the levers to meet this challenge is the relevance of energy supervisors. This paper proposes an innovative energy management strategy (
Externí odkaz:
https://doaj.org/article/79ea73d461f8461e85fab592af93edd6
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:
Energies, Vol 15, Iss 4, p 1358 (2022)
Mobile robot path planning has passed through multiple phases of development and took up several challenges. Up to now and with the new technology in hands, it becomes less complicated to conduct path planning for mobile robots and avoid both static
Externí odkaz:
https://doaj.org/article/b36006a2acc8433fa32b9a6a8ed33c04
Publikováno v:
Applied Artificial Intelligence, Vol 32, Iss 6, Pp 515-540 (2018)
The main aim of the present work is development of an active fault tolerant control for two shafts gas turbine fault detection and isolation based on a neuro fuzzy inference system adaptive approach. This approach combines the advantages of the neura
Externí odkaz:
https://doaj.org/article/d0cef3c04c024a6a90128d4ebe95c1c5
Publikováno v:
Journal of Engineering Science and Technology, Vol 13, Iss 6, Pp 1850-1868 (2018)
This paper deals with the application of the multivariable linear system Matrix Fraction Description (MFD) theory for the identification of the Left Linear MIMO ARX turbo-compressor model based on Extended Least Square (ELS) estimator. Indeed, the id
Externí odkaz:
https://doaj.org/article/b61e8ced02164a7b8236bb281c443479
Publikováno v:
Energies, Vol 13, Iss 12, p 3081 (2020)
In this paper a mechanical sensorless control of Switched Reluctance Motors (SRMs) scheme of an electric vehicle (EV) powertrain is presented. The aim is to develop a soft sensors implementation for position and speed measurements of SRM. This contri
Externí odkaz:
https://doaj.org/article/58bacb1580724a57aec0baa69505377c