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Christofer Sundström

Associate Professor, Docent

Publications

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

Kristoffer Ekberg, Lars Eriksson, Christofer Sundström,  Electrification of a Heavy-Duty CI Truck-Comparison of Electric Turbocharger and Crank Shaft Motor, Energies 14:1402 (2021)  https://doi.org/10.3390/en14051402

Christofer Sundström, Alexey Voronov, Olof Lindgarde, Adam Lagerberg,  Optimal Speed and Gear Shift Control of Long-haulage Trucks, IFAC PAPERSONLINE, IFAC papers online, pp. 471-477, ELSEVIER (2019)  https://doi.org/10.1016/j.ifacol.2019.09.075

Daniel Jung, Christofer Sundström,  A Combined Data-Driven and Model-Based Residual Selection Algorithm for Fault Detection and Isolation, IEEE Transactions on Control Systems Technology 27:616-630 (2019)  https://doi.org/10.1109/TCST.2017.2773514

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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