Kurzvita / CV

Veröffentlichungen / Publications

• Ali, A. M.; Moulik, B.; Söffker, D.: Intelligent Real-time Power Management of Multi-Source HEVs based on Driving State Recognition and Offline Optimization. IEEE Transactions on Intelligent Transportation Systems, Vol. 24, No. 1, 2023, pp. 247-257.
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• Katepalli, B.; Moulik, B.; Ali, A. M.; Söffker, D.: An Eco-Driving Technique for Energy Aware Driving With an Electric Vehicle. International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India, Nov, 3-4 , 2023, pp. 493-498.
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• Moulik, B.; Bose, B.; Ali, A.M.; Söffker, D.: Energy management strategy for electric vehicles and connected renewable energy systems in a micro grid environment of a university campus. Transforming Mobility Ð What Next?, 2022, pp. 195Ð217.
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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. Proff, H.: Neue Dimensionen der Mobilität, Springer, Duisburg, Germany, Vol. 1 , 2020, pp. 185-194.
• Ali, A. M.; Söffker, D.: Real-time applicable power management of multi-source fuel cell vehicles using situation-based model predictive control. Proceedings of the ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Virtual, 2020, Vol. 4, pp. V004T04A029.
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• Moulik, B.; Bhaumik, K.; Beganovic,N; Ali, A.M.; Söffker, D.: Adaptive prioritization of a situation-based power management for hybrid electric vehicles. IEEE-VPPC2020 Vehicle Power and Propulsion Conference, Gijón, Spain, 2020.
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• 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, Vol. 68, No. 11, 2019, pp. 10394-10405.
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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, , Vol. 68, No. 12, 2019, pp. 11473-11482.
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• 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, 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, 2019.
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• 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 , 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, 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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