Pr. MAMMAR, Khaled

MAMMAR, Khaled

LABScore : 93
LABScore depuis 2022 : 0

Chef d'équipe de : Commande et Diagnostic des Systèmes Energétiques Hybrides

Personal Information

Location: BECHAR
Gender: M
Name: MAMMAR
First name: Khaled
First name in Arabic: خالد
Last name in Arabic: معمر
Last degree: Habilitation
Year of last degree obtained: 2015
Last rank: Pr.
Year of last rank obtained: 2019
Status: P. Et.
Main domain: Energie
Membership start date: 2018-01-28
Attachment Structure: U. Béchar
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Professional Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
WOS ID: T-9538-2019
SCOPUS ID: 35190681200
ORCID Identifier: 0000-0003-0081-075
Biography:
 
 
 

Production scientifique

Publications dans la catégorie A

 
  • S. Laribi, K. Mammar, M. Hamouda, and Y. Sahli, “Impedance model for diagnosis of water management in fuel cells using artificial neural networks methodology,” international journal of hydrogen energy, vol. 41, no. 38, pp. 17093–17101, 2016.
  • S. Laribi, K. Mammar, Y. Sahli, and K. Koussa, “Air supply temperature impact on the PEMFC impedance,” Journal of Energy Storage, vol. 17, pp. 327–335, 2018.
  •  K. Mammar and S. Laribi, “Application of adaptive neuro-fuzzy inference system techniques to predict water activity in proton exchange membrane fuel cell,” Journal of Electrochemical Energy Conversion and Storage, vol. 15, no. 4, 2018.
  •  S. Laribi, K. Mammar, Y. Sahli, and K. Koussa, “Analysis and diagnosis of PEM fuel cell failure modes (flooding & drying) across the physical parameters of electrochemical impedance model: Using neural networks method,” Sustainable Energy Technologies and Assessments, vol. 34, pp. 35–42, 2019.
  •  F. Z. Arama, K. Mammar, S. Laribi, A. Necaibia, and T. Ghaitaoui, “Implementation of sensor based on neural networks technique to predict the PEM fuel cell hydration state,” Journal of Energy Storage, vol. 27, p. 101051, 2020.
  • S. Laribi, K. Mammar, Y. Sahli, A. Necaibia, F. Z. Arama, and T. Ghaitaoui, “PEMFC water diagnosis using PWM functionality signal and fractional order model,” Energy Reports, vol. 7, pp. 4214–4221, 2021.
  • S. Laribi, K. Mammar, F. Z. Arama, and T. Ghaitaoui, “Fractional order model for diagnosis of flooding and drying of the proton exchange membrane fuel cell,” International Journal of Hydrogen Energy, vol. 46, no. 66, pp. 33287–33299, 2021.

Publications dans la catégorie B

  •  K. Mammar, F. Saadaoui, and S. Laribi, “Design of a PEM fuel cell model for flooding and drying diagnosis using fuzzy logic clustering,” Renewable Energy Focus, vol. 30, pp. 123–130, 2019.
  •  F. Saadaoui, K. Mammar, and A. Hazzab, “Modeling of photovoltaic system with maximum power point tracking control by neural networks,” International Journal of Power Electronics and Drive Systems, vol. 10, no. 3, p. 1575, 2019. 
  •   F. Saadaoui, K. Mammar, and A. Hazzab, “Water Activity Control in PEMFC Electrical Energy System,” Majlesi Journal of Electrical Engineering, vol. 15, no. 4, pp. 1–11, 2021.

Publications  sans catégorie

  •  F. Saadaoui, K. Mammar, A. Hazzab, and others, “Influence of Relative Humidity in Water Management of a PEMFC system using the Macroscopic Energetic Representation based on the Inversion Control,” Majlesi Journal of Mechatronic Systems, vol. 6, no. 4, pp. 39–44, 2017.
  • F. Saadaoui, M. Youcef, and K. Mammar, “Energy Management of a Hybrid Energy System (PV/PEMFC and Lithium Battery) Using Macroscopic Energy Representation,” in International Conference on Artificial Intelligence in Renewable Energetic Systems, 2021, pp. 372–382.
  • F. Saadaoui, K. Mammar, and A. Hazzab, “The Pursuit of the Maximum Power Point of a Photovoltaic System Using Artificial Neural Network,” in International Conference in Artificial Intelligence in Renewable Energetic Systems, 2019, pp. 103–114. 
  • K. Mammar, F. Saadaoui, and A. Hazzab, “Development and simulation of a PEM fuel cell model for prediction of water content and power generation,” Iranian Journal of Hydrogen & Fuel Cell, vol. 4, no. 4, pp. 289–299, 2018.
  • S. LARIBI, K. MAMMAR, F. Z. ARAMA, and T. GHAITAOUI, “Analyze of Impedance for Water Management in Proton Exchange Membrane Fue Fells Using Neural Networks Methodology,” Algerian Journal of Renewable Energy and Sustainable Development, vol. 1, no. 1, pp. 69–78, 2019.
     
  •  A. HAZZAB, K. MAMMAR, and F. Saadaoui, “WATER ACTIVITY CONTROL OF PEM FUEL CELL USING ENERGETIC MACROSCOPIC AND INVERSION METHODOLOGY,” Journal of Electrical Engineering, vol. 19, no. 3, pp. 11–11, 2019.

Scientific production

    Journal Publications

    Publishing in category A+

  • 122, Arama, F. Z., MAMMAR, K., , , . & , ,. (2019). Implementation of sensor based on neural networks technique to predict the PEM fuel cell hydration state vol 27 101051. Journal of Energy Storage , .
  • 119, Laribi, S., MAMMAR, K., Y., S., K., K., , , . & , ,. (2019). Analysis and diagnosis of PEM fuel cell failure modes (flooding & drying) across the physical parameters of electrochemical impedance model: Using neural networks method. Sustainable Energy Technologies and Assessments , .
  • 118, MAMMAR, K., F., S., S., L., , , . & , ,. (2019). Design of a PEM fuel cell model for flooding and drying diagnosis using fuzzy logic clustering. Renewable energy focus , .
  • 121, Laribi, S., MAMMAR, K., , , ., , , . & , ,. (2018). Air supply temperature impact on the PEMFC impedance 17 (2018) 327–335. Journal of Energy Storage , , 327–335.
  • 120, MAMMAR, K., L., S., , , . & , ,. (2018). "Application of Adaptive Neuro-Fuzzy Inference System Techniques to Predict Water Activity in Proton Exchange Membrane Fuel Cell Vol. 15 / 041009-1". Journal of Electrochemical Energy Conversion and Storage by ASME , 15.
  • 115, Laribi, S., MAMMAR, K., M., H., Y., S. & , ,. (2016). Impedance model for diagnosis of water management in fuel cells using artificial neural networks methodology. International Journal of Hydrogen Energy , .

    • Publishing in category B

  • 234, MAMMAR, K., Saadaoui, F., , , . & Hazzab, A. (2017). Development and simulation of a PEM fuel cell model for prediction of water content and power generation. Iranian Journal of Hydrogen & Fuel Cell (2383)/(160X), .

Impact, visibility and academic attractiveness

    Directed and/or defended dissertations or theses

    Thesis of Doctorate / DESM (concerns the candidate member of the team and the thesis director)

  • , (8), Contribution à étude de la gestion de l'eau dans une pile à combustible, , . 2017, , Slimane, L. & MAMMAR, K., , Université TAHRI Mohamed Bechar.  
  • , (12), Gestion d’énergie d’un système hybride à pila à combustible, utilisation de la logique floue et réseaux de neurone, , , , Yaiche, H. & MAMMAR, K., , Université TAHRI Mohamed Bechar.  
  • , (11), Modélisation dynamique par ordre fractionnel d’une pile à combustible PEM et d'une batterie de lithium-ion pour utilisation en électronique de puissance, , , , Massera, M. & MAMMAR, K., , Université TAHRI Mohamed Bechar.  
  • , (10), Contribution à la Modélisation d’un système multi physique et commande d’un système énergétique hybride (Photovoltaïque et pile à combustible), , , , Farid, S. & MAMMAR, K., , Université TAHRI Mohamed Bechar.  
  • , (9), Contribution à la modélisation d’un véhicule électrique hybride à (pile à combustible et batterie de lithium, , , , Medah, S. & MAMMAR, K., , Université TAHRI Mohamed Bechar.  

    • Final graduation project dissertation [master, engineer, medical science] (subject taken in the laboratory)

  • , (24), Modélisation et commande d'un système hybride photovoltaïque batterie de lithium, , . 2018, , Touhami, M. & MAMMAR, K., , Université TAHRI Mohamed Bechar.  
  • , (23), Modélisation et commande des cellules photovoltaïques avec Réseaux de neurones, , . 2018, , Brahim, R., Ahmed, D., Ahmed, D. & MAMMAR, K., , Université TAHRI Mohamed Bechar.  
  • , (22), Modélisation et Commande d’un système énergétique hybride (PAC-Energie Solaire et Batteries), , . 2018, , Bouziane, S., Abdelatif, H. & MAMMAR, K., , Université TAHRI Mohamed Bechar.  
  • , (21), Modélisation numérique d'un véhicule électrique à pile à combustible, , . 2018, , Abderrahmane, A., Salim, D. M. & MAMMAR, K., , Université TAHRI Mohamed Bechar.  
  • , (20), Utilisation des réseaux neurones pour la modélisation de la pile PEMFC et pour le diagnostic du comportement., , . 2017, , Elarabi, G., Belkacem, A. M. & MAMMAR, K., , Université TAHRI Mohamed Bechar.  
  • , (17), Estimation des paramètres d'impédances de la pile à combustible par réseaux de neurones, , . 2016, , Chakib, C. M. & MAMMAR, K., , Université TAHRI Mohamed Bechar.