M.Sc. Maximilian Cussigh

Forschungsinteressen

• Vorausschaufunktionen im Fahrzeugbetrieb
• Car-2-X-Kommunikation
• energieoptimale Navigation

Biographie

• Externe Masterarbeit zum Thema: Intelligente Anpassung des Wärmemanagements an ein bevorstehendes Belastungsprofil eines Hochvolt-Speichers im vollelektrischen Fahrzeug, BMW Group / Institut für Kraftfahrzeuge Aachen
• M.Sc. Energietechnik, Rheinisch-Westfälische Technische Hochschule Aachen (RWTH Aachen)
• B.Sc. Maschinenbau, RWTH Aachen / Universidad Politécnica de Madrid, Spanien

Veröffentlichungen

M. Cussigh, C. Löchel, T. Straub and T. Hamacher, "Assessing Time-Optimal Journeys: Combined Routing, Charging and Velocity Strategies for Electric Vehicles," 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS), Delft, South Holland Province, Netherlands, 2020, pp. 51-57, doi: 10.1109/FISTS46898.2020.9264845.

C. Löchel, M. Cussigh and M. Ulbrich, "MINLP-Based Routing for Electric Vehicles with Velocity Control in Networks with Inhomogeneous Charging Stations," 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS), Delft, South Holland Province, Netherlands, 2020, pp. 1-7, doi: 10.1109/FISTS46898.2020.9264854.

M. Cussigh, T. Hamacher: “Optimal Charging and Driving Strategies for Battery Electric Vehicles on Long Distance Trips: a Dynamic Programming Approach”, 30th IEEE Intelligent Vehicles Symposium (IV) 2019, DOI: 10.1109/IVS.2019.8813822.

M. Cussigh, T. Straub, M. Frey, T. Hamacher, F. Gauterin: “An All-Electric Alpine Crossing: Time-Optimal Strategy Calculation via Fleet-Based Vehicle Data”, IEEE Open Journal of Intelligent Transportation Systems, doi: 10.1109/OJITS.2020.3019599.