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Christofer Sundström

Associate Professor, Docent

Publications

Mats Janné, Christofer Sundström, Anna Fredriksson, Niki Matinrad, Marduch Tadaros, Martin Waldemarsson,  ELEVATE - Electric Vehicles for Advanced Transportation Efficiency (2025)

Sarmad Majeed Malik, Daniel Jung, Christofer Sundström, Jonas Hellgren,  An Optimal V2G Charging and Discharging Schedule for Electric Vehicles in Sweden’s Day-Ahead and FCR-D Markets, 2025 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE, ISGT EUROPE, IEEE (2025)  https://doi.org/10.1109/ISGTEurope64741.2025.11305294

Svante Johansson, Daniel Jung, Christofer Sundström,  Cost-Effective Routing of a Single Heavy-Duty Battery Electric Truck, IFAC PAPERSONLINE, pp. 31-36, ELSEVIER (2025)  https://doi.org/10.1016/j.ifacol.2025.07.077

Daniel Jung, Christofer Sundström,  Analysis of Tariffs and the Impact on Voltage Variations in Low-Voltage Grids with Smart Charging and Renewable Energy, Energies 16:7648 (2023)  https://doi.org/10.3390/en16227648

Iman Shafikhani, Christofer Sundström, Jan Åslund, Erik Frisk,  MPC-based energy management system design for a series HEV with battery life optimization, 2021 EUROPEAN CONTROL CONFERENCE (ECC), pp. 2591-2596, IEEE (2021)  https://doi.org/10.23919/ECC54610.2021.9655224

Research

Electrical truck.

Route planning of heavy-duty electric vehicles

Electrification of heavy-duty vehicles calls for intelligent methods to optimize the planning of their use and charging. With Scania and Ragn-Sells we develop mathematical models and algorithms for the next generation of transportation systems.

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