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IEEE VTS Motor Vehicles Challenge 2023: A Multi-physical Benchmark Problem for Next Generation Energy Management Algorithms

Introduction

The competitors are invited to develop the energy management algorithm (EMA) for the vehicle (cf. Figure 1). The EMA determines the operating conditions for the two energy storage devices and the three electric motors; minimization of the energy consumption and battery degradation are some of the main goals of the EMA.

Annoucment

Registration is open. All interested competitor teams are asked to register for the MVC 2023.

Preliminary timeline

  • Registration open until end of Dec. 22
  • EMA submission deadline ~ March 23
  • Paper submission deadline - tba

Release Notes

2nd of Nov. 22

Initial Alpha release - future changes in the component's parameterization are likely.

Important Links

  • How to get ready in MATLAB/Simulink, please refer to installation readme.
  • For additional information please view presentation slides of the paper *.pdf.
  • For information on the given tracks, please refer to tracks readme.

THE MVC 2023 Benchmark Problem

In Figure 1 the MVC 2023 challenge model and it's components are shown. The competitors are invited to develop the top red block, the energy management algorithm (EMA).

Figure 1: Block diagram of the MVC 2023 benchmark problem.

Bibliography

Brembeck, J.; de Castro, R.; Tobolar, J. & Ebrahimi, I. IEEE VTS Motor Vehicles Challenge 2023: A Multi-physical Benchmark Problem for Next Generation Energy Management Algorithms 19th IEEE Vehicle Power and Propulsion Conference (VPPC), 2022

Link to reference *.bib file.

License

Copyright © 2022 DLR & UCM. The code is released under the CC BY-NC 4.0 license. Link to short summary of CC BY-NC 4.0 license. For attribution see also license file.

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