M.Sc. Maximilian Cussigh

CompanyBMW Group
DepartmentTotal Vehicle Development – Efficient Dynamics
TaskCustomer Functions/Energy Management
E-mailmaximilian.cussigh@bmw.de
WWWhttp://www.bmw.com

Research interests

  • Predictive functions in vehicles
  • Car-2-X Communication
  • Energy-optimal routing and navigation

Experience

  • External Master thesis on: Intelligent adaption to an imminent load profile of a high-voltage battery's thermal management in a battery electric vehicle, BMW Group / In-stitute for Automotive Engineering Aachen
  • M.Sc. Energy technology, Rheinisch-Westfaelische Technische Hochschule Aachen (RWTH Aachen University)
  • B.Sc. Mechanical Engineering, RWTH Aachen University / Universidad Politécnica de Madrid

Publications

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.