Bre22_MVC2023.bib

@InProceedings{Brembeck2022,
  author    = {Jonathan Brembeck and Ricardo de Castro and Jakub Tobolar and Iman Ebrahimi},
  booktitle = {19th IEEE Vehicle Power and Propulsion Conference (VPPC)},
  title     = {IEEE VTS Motor Vehicles Challenge 2023: A Multi-physical Benchmark Problem for Next Generation Energy Management Algorithms},
  year      = {2022},
  abstract  = {This article presents a benchmark problem that researchers can use to evaluate the performance of energy management algorithms for multi-energy source and multi-motor electric vehicles. The model makes use of Modelica, an open source, a-causal, object-oriented language for modeling cyber-physical systems in multi-domains (e.g. electrical, mechanical, thermal) of the vehicle components. The model also includes the aspect of three-dimensional mechanics, which enables completely new degrees of freedom in the controller design in comparison to one-dimensional approaches. To support interoperability among multiple design tools, the Modelica vehicle model is provided as a Functional Mockup Unit, an industry standard for exchange of simulation models. A set of standardized input-output interfaces and key performance metrics is also provided in the benchmarking problem, enabling the systematic ranking of multiple energy management strategies.},
  groups    = {Papers},
  keywords  = {energy management, vehicle dynamics control, electro-mobility, trajectory control, energy management, battery model, Modelica, Functional Mockup Interface, hydrogen fuel cell, multi-physical modelling, drivetrain models},
  url       = {https://ieeexplore.ieee.org/xpl/conhome/1001124/all-proceedings},
  venue     = {Merced, California, USA},
}

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