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IEEE Motor Vehicles Challenge 2023

License: Other

MATLAB 0.59% C 98.79% C++ 0.57% TeX 0.06%
electromobility energy-management trajectory-control

ieee-mvc-2023's Introduction

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.

Announcement

Dear competitors,

we are happy to announce that the team
EDLab Sharks team from University of Padova won this year’s edition of the IEEE VTS Motor Vehicles Challange 2023.
2nd place: Ricercatori Polimi TEAM 2 from Politecnico di Milano
3rd place: NDS strategy 1 from Politecnico di Milano

Congratulations!

All rankings and details on the assessment process can be found here.

Many thanks to all competitors and their valuable input during the development process of the challenge.
We are looking forward to meet you in person at the IEEE VPPC 2023 in Milan!

Release Notes

Please refer to the change log.
Latest: 17th of Feb. 2023 - Final Release (i.a. 30 s preview horizon).
Remarks:

Important Links

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 © 2022-2023 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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