"Amamou, A."

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Nombre de documents archivés : 9.


Mohammadpour, M., Kelouwani, S., Gaudreau, M. A., Allani, B., Zeghmi, L., Amamou, A. et Graba, M. (2022). Energy-efficient local path planning of a self-guided vehicle by considering the load position. IEEE Access, 10 . pp. 112669-112685. ISSN 2169-3536 DOI 10.1109/ACCESS.2022.3216601

Mohammadpour, M., Zeghmi, L., Kelouwani, S., Gaudreau, M.-A., Amamou, A. et Graba, M. (2021). An investigation into the energy-efficient motion of autonomous wheeled mobile robots. Energies, 14 (12). p. 3517. ISSN 1996-1073 DOI 10.3390/en14123517

Amamou, A., Kandidayeni, M., Kelouwani, S. et Boulon, L. (2020). An online self cold startup methodology for PEM fuel cells in vehicular applications. IEEE Transactions on Vehicular Technology, 69 (12). pp. 14160-14172. ISSN 0018-9545 DOI 10.1109/TVT.2020.3011381

Amamou, A., Kandidayeni, M., Macias, A., Boulon, L. et Kelouwani, S. (2020). Efficient model selection for real-time adaptive cold start strategy of a fuel cell system on vehicular applications. International Journal of Hydrogen Energy . ISSN 0360-3199 DOI 10.1016/j.ijhydene.2020.04.253

Ghobadpour, A., Amamou, A., Kelouwani, S., Zioui, N. et Zeghmi, L. (2020). Impact of powertrain components size and degradation level on the energy management of a hybrid industrial self-guided vehicle. Energies, 13 (19). p. 5041. ISSN 1996-1073 DOI 10.3390/en13195041

Graba, M., Kelouwani, S., Zeghmi, L., Amamou, A., Agbossou, K. et Mohammadpour, M. (2020). Investigating the impact of energy source level on the self-guided vehicle system performances, in the Industry 4.0 context. Sustainability, 12 (20). p. 8541. ISSN 2071-1050 DOI 10.3390/su12208541

Mohammed, A. S., Amamou, A., Ayevide, F. K., Kelouwani, S., Agbossou, K. et Zioui, N. (2020). The perception system of intelligent ground vehicles in all weather conditions: A systematic literature review. Sensors, 20 (22). p. 6532. ISSN 1424-8220 DOI 10.3390/s20226532

Amamou, A., Kandidayeni, M., Boulon, L. et Kelouwani, S. (2018). Real time adaptive efficient cold start strategy for proton exchange membrane fuel cells. Applied Energy, 216 . pp. 21-30. ISSN 0306-2619 DOI 10.1016/j.apenergy.2018.02.071

Document issu d'une conférence ou d'un atelier

Ziadia, M., Kelouwani, S., Amamou, A., Dubé, Y. et Agbossou, K. (2019, May 3-5). Using an intelligent vision system for obstacle detection in winter condition. Dans VEHITS 2019 - Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, Heraklion, Crete.

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