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
Final release is planned for 2023/02/15
- Preview horizon will be extended to 30s in the future
- Different minor improvements
Preliminary timeline
- EMA submission deadline – tba.
- Paper submission deadline – tba.
Release Notes
Please refer to the change log.
Latest: 13th of Jan. 23 – Beta 3 (i.a. corrected battery voltage signal).
Remarks:
- Parameterization is quiet likely in final state. Next release might be final release.
- Please take notice of our General Answer to Questions about Modelica Implementation Details
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.
- The submitted version of the publication can be found in our elib repository.
- 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).
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 © 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.