Dr.-Ing. Ahmed Mohamed Ali

Ahmed Mohamed Ali

Military Technical College, Egypt

RaumMB 327
Tel.:+49 (0) 203 / 3 79 - 1580
E-Mail:ahmed.ali (at) uni-due.de

Kurzvita / CV

2019 Dr.-Ing. Mechanical Engineering,
Faculty of Engineering,
University of Duisburg-Essen, Germany
2015Associate Lecturer,
Chair of Automotive Engineering,
Military Technical College, Egypt
2015M.Sc. in Mechanical Engineering/Automotive Engineering,
Chair of Automotive Engineering,
Military Technical College, Egypt
2010Teacher Assistant,
Chair of Automotive Engineering,
Military Technical College, Egypt
2010B.Sc. in Mechanical Engineering/Automotive Engineering,
Chair of Automotive Engineering,
Military Technical College, Egypt

Veröffentlichungen / Publications

  • Ali, A.M.; Ghanbar, A.; Söffker, D.: Optimal control of multi-source electric vehicles in real-time using Advisory Dynamic Programming. IEEE, Transactions on Vehicular Technology, 2019, accepted.
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  • Ali, A.M.; Shivapurkar, R.; Söffker, D.: Optimal situation-based power management and application to state predictive models for multi-source electric vehicles. IEEE Transactions on Vehicular Technology, , 2019, accepted.
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  • Ali, A.M.; Moulik, B.; Söffker, D.: Optimizing the fuel efficiency of fuel cell-based hybrid electric vehicles considering real implications. 11. Wissenschaftsforum Mobilität - New Dimensions of Mobility Systems, Duisburg, Germany, May 23, 2019.
  • Ali, M.A.; Moulik, B.; Beganovic, N.; Söffker, D.: A state-of-health-oriented power management strategy for multi-source electric vehicles considering situation-based optimized solutions in real-time. Annual Conference of the Prognostics and Health Management (PHM) Society, Scottsdale, Arizona, USA, September 21-26, 2019.
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  • Beganovic, N.; Moulik, B.; Ali, A.M.; Söffker, D.: Lifetime model developement for integration in power management of HEVs by terms of minimizing fuel consumption and battery degradation. Annual Conference of the Prognostics and Health Management (PHM) Society, Scottsdale, Arizona, USA, September 21-26, 2019.
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  • Ali, A. M.; Söffker, D.: Real-time applicable power management of multi-source fuel cell vehicles using situation-based model predictive control. Energy, 2019, submitted.
  • Ali, M.A.; Söffker, D.: Towards optimal power management of hybrid electric vehicles in realtime: An overview on methods, challenges, and the state-of-the-art solutions. Energies, MDPI, Vol. 11, No. 3, 2018.
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  • Ali, M.A.; Söffker, D.: Observer-based power management for multi-source electric vehicles using optimized splitting ratios. ASME-IDETC-2018, Quebec, Canada , October 11-13, 2018, Vol. 3: pp. V003T01A037.
  • Ali, M.A.; Shivapurkar, R.; Söffker, D.: Development and improvement of a situation-based power management method for multi-source electric vehicles. IEEE-VPPC-2018 Vehicle Power and Propulsion Conference, Chicago, USA, August 27-30, 2018, pp. 1-6.
  • Ali, M.A.; Söffker, D.: Realtime Application of Progressive Optimal Search and Adaptive Dynamic Programming in Multi-Source HEVs. ASME 2017 Dynamic Systems and Control Conference, Tysons, Virginia, USA, August 26-29, 2017, Vol. 2, pp. V002T17A003.
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  • Ali, M.A.; Söffker, D.: Realtime power management of a multi-source hev using adaptive dynamic programing and probabilistic drive state model. ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Cleveland, Ohio, USA, August 6-9, 2017, Vol. 3, pp. V003T01A025.
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