Ali Amamou

Dr. Ali Amamou

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 November 2020 in Sensors
Verified
Journal Article
Open access
PDF file
Abdul Sajeed MohammedAbdul Sajeed Mohammed
Abdul Sajeed Mohammed
AAAli Amamou
Ali Amamou
FAFollivi Kloutse Ayevide
Follivi Kloutse Ayevide
Sousso KelouwaniSousso Kelouwani
Sousso Kelouwani
KAKodjo Agbossou
Kodjo Agbossou
NZNadjet Zioui
Nadjet Zioui
Perception is a vital part of driving. Every year, the loss in visibility due to snow, fog, and rain causes serious accidents worldwide. Therefore, it is important to be aware of the impact of weather conditions on perception performance while driving on highways and urban traffic in all weather conditions. The goal of this paper is to provide a survey of sensing technologies used to detect the surrounding environment and obstacles during driving maneuvers in different weather conditions. Firstly, some important historical milestones are presented. Secondly, the state-of-the-art automated driving applications (adaptive cruise control, pedestrian collision avoidance, etc.) are introduced with a focus on all-weather activity. Thirdly, the most involved sensor technologies (radar, lidar, ultrasonic, camera, and far-infrared) employed by automated driving applications are studied. Furthermore, the difference between the current and expected states of performance is determined by the use of spider charts. As a result, a fusion perspective is proposed that can fill gaps and increase the robustness of the perception system.

2 August 2016 in IEEE Access
Verified
Journal Article
Open access
AAAli Amamou
Ali Amamou
SKSousso Kelouwani
Sousso Kelouwani
LBLoic Boulon
Loic Boulon
KAKodjo Agbossou
Kodjo Agbossou
Proton exchange membrane fuel cell (PEMFC) can be a significant eco-friendly alternative power source for vehicles. However, under subfreezing conditions, cell degradation and irreversible performance decay can occur because of ice formation and repetitive thaw/freeze cycles. These problems have limited the further commercialization of PEMFC in cold weather countries. Thus, many improvements have been made to repair the freeze protection and rapid cold startup problems in PEMFC vehicles. In this paper, a comprehensive review dedicated to engineers of the recent research progress on the PEMFC cold start problems is presented. Systems and methods for fuel cell shutdown are summarized and classified into two categories: purge solution and material to avoid freezing. Regarding the system and solutions for PEMFC cold startup, different heating solutions are classified into two main groups depending on their heating sources and categorized as internal and external heating methods. This paper concludes with a detailed review of cold startup strategies based on an exhaustive survey of journal papers and patents.

1 March 2018 in Journal of Power Sources
Verified
Journal Article
Open access
Mohsen KandidayeniMohsen Kandidayeni
Mohsen Kandidayeni
Alvaro Macias FernandezAlvaro Macias Fernandez
Alvaro Macias Fernandez
AAAli Amamou
Ali Amamou
LBL. Boulon
L. Boulon
SKS. Kelouwani
S. Kelouwani
HCH. Chaoui
H. Chaoui

2 August 2023 in IEEE Access
Verified
Journal Article
Open access
SHSeyed Mohammad Hosseini
Seyed Mohammad Hosseini
MSMehdi Soleymani
Mehdi Soleymani
Sousso KelouwaniSousso Kelouwani
Sousso Kelouwani
AAAli Amamou
Ali Amamou
This review article examines the crucial role of energy harvesting and energy recovery in the design of battery electric vehicles (BEVs) and fuel cell hybrid electric vehicles (FCHEVs) as these vehicles have limited onboard power sources. Harvesting energy and recovering energy from onboard systems can significantly improve energy efficiency, increase range, and reduce fuel consumption. The latest advances in vehicular energy recovery and harvesting, including regenerative braking, regenerative suspension, solar and wind energy harvesting, and other recovery methods are studied and the impact of the energy storage system and powertrain architecture on energy harvesting is investigated. Regenerative brake control strategies and driver behaviour’s effect on energy recovery are reviewed, and the potential of energy harvesting in electric vehicles is discussed, including experimental and low-power harvesting methods. The importance of using perception and navigation technologies in autonomous vehicles to enhance energy efficiency is highlighted. The article identifies critical research gaps, challenges, and future directions for research in this field. This review stands out from previous papers by covering overlooked subjects such as driver behaviour and deceleration planning in autonomous vehicles, low-power harvesting methods, and experimental techniques applicable to electric vehicles.

13 June 2021 in Energies
Verified
Journal Article
Open access
PDF file
MMMohammad Mohammadpour
Mohammad Mohammadpour
LZLotfi Zeghmi
Lotfi Zeghmi
Sousso KelouwaniSousso Kelouwani
Sousso Kelouwani
MGMarc-André Gaudreau
Marc-André Gaudreau
AAAli Amamou
Ali Amamou
MGMassinissa GRABA
Massinissa GRABA
In recent years, the use of electric Autonomous Wheeled Mobile Robots (AWMRs) has dramatically increased in transport of the production chain. Generally, AWMRs must operate for several hours on a single battery charge. Since the energy density of the battery is limited, energy efficiency becomes a key element in improving material transportation performance during the manufacturing process. However, energy consumption is influenced by the navigation stages, because the type of motion necessary for the AWMR to perform during a mission is totally defined by these stages. Therefore, this paper analyzes methods of energy efficiency that have been studied recently for AWMR navigation stages. The selected publications are classified into planning and motion control categories in order to identify research gaps. Unlike other similar studies, this work focuses on these methods with respect to their implications for the energy consumption of AWMRs. In addition, by using an industrial Self-Guided Vehicle (SGV), we illustrate the direct influence of the motion planning stage on global energy consumption by means of several simulations and experiments. The results indicate that the reaction of the SGV in response to unforeseen obstacles can affect the amount of energy consumed. Hence, energy constraints must be considered when developing the motion planning of AWMRs.

23 July 2020 in IEEE Transactions on Vehicular Technology
Verified
Journal Article
Closed access
AAAli Amamou
Ali Amamou
Mohsen KandidayeniMohsen Kandidayeni
Mohsen Kandidayeni
Sousso KelouwaniSousso Kelouwani
Sousso Kelouwani
LBLoic Boulon
Loic Boulon
This paper puts forward an adaptive cold start strategy for a proton exchange membrane fuel cell (PEMFC) based on maximum power mode. The proposed strategy consists of a water evacuation process after PEMFC shutdown and a self-heating process at PEMFC cold startup. To maximize the performance of the suggested strategy, an optimal operating condition for the cold start procedure is sought first. In this respect, an experimental parametric study is performed to explore the impact of fan velocity, micro-short circuit, anode pressure, and purge procedure on the PEMFC cold start performance. After laying down the proper conditions, the proposed cold start procedure is implemented on a test bench for experimental validations. The self-heating process is based on an online adaptive algorithm that maximizes the PEMFCs internal heat depending on its operating parameters variation. In fact, this algorithm attempts to keep the current density at high levels, leading to PEMFCs performance improvement achieved by membrane hydration and temperature increase. The experimental results confirm the effectiveness of the proposed strategy, which presents a fast and cost-effective PEMFCs cold start.