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

Kurzfassung

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.

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• IEEE VTS Motor Vehicles Challenge 2023: A Multi-physical Benchmark Problem for Next Generation Energy Management Algorithms. (deposited 30 Nov 2022 09:04) [Gegenwärtig angezeigt]
  • IEEE VTS Motor Vehicles Challenge 2023: A Multi-physical Benchmark Problem for Next Generation Energy Management Algorithms. (deposited 05 Dez 2022 09:46)
    • IEEE VTS Motor Vehicles Challenge 2023: A Multi-physical Benchmark Problem for Next Generation Energy Management Algorithms. (deposited 30 Jan 2023 11:11)
      • IEEE VTS Motor Vehicles Challenge 2023: A Multi-physical Benchmark Problem for Next Generation Energy Management Algorithms. (deposited 17 Feb 2023 09:43)