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Dieses Tool beschreibt eine objektive und kostenneutrale Methode zum simulativen Benchmarking von Elektrofahrzeugen, indem Fahrzeugparameter in Kombination mit Durchschnittsparametern ein Referenz-Simulationsmodell entwickeln, welches mit den realen Ergebnissen verglichen wird.

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TUMFTM/Scientific-Benchmarking-Engineering-Quality-Evaluation-of-Electric-Vehicle-Concepts

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Scientific Benchmarking - Engineering Quality Evaluation of Electric Vehicle Concepts

This tool describes an objective and cost-neutral simulation approach of benchmarking electric vehicle concepts. Applying a combination of real vehicle parameters with state-of-the-art parameters for specific vehicle types, a simulation reference model is built which allows for the comparison between state-of-the-art electric vehicle results to the actual real vehicle results

Developer

The main developer of this tool is Nico Rosenberger (Institute for Automotive Technology, Technical University of Munich).

The below stated reference is the main documentation for the tool documented in this repositiory.

There are several other contributors who worked on different modules of the tool. The contributors of each function are listed in the function's overhead. Here follows an overviews of the contributors (in alphabetical order):

  • Bogdan, Simon (Semester Thesis at the Technical University of Munich)
  • Fundel, Moritz (Master Thesis at the Technical University of Munich)
  • Köning, Lukas (Semester Thesis at the Technical University of Munich)
  • Kragt, Peter (Semester Thesis at the Technical University of Munich)
  • Kühberger, Moritz (Master and Semester Thesis at the Technical University of Munich)

Scope of this tool

We present a simulation tool that utilizes advanced modeling techniques to quantify the customer-relevant features of different battery electric vehicles (BEV) concepts. By incorporating comprehensive longitudinal and lateral dynamics analyses, the tool provides an in-depth understanding of passenger vehicle concepts in various driving conditions. Furthermore, the tool emphasizes evaluating comfort, presenting a holistic view concluding into the overall driving experience. Metrics considering the vehicle’s packaging are employed to assess the comfort aspects of the concepts. Implementing this simulation tool achieves a more systematic and reliable approach to evaluating BEV concepts. The application based on the parameters of 18 state-of-the-art BEV proved its compliance in the presented categories with the results of physical tests performed by reputable magazines with great experience and comprehensice test protocols. Its academic foundation ensures the utilization of state-of-the-art methodologies and the integration of the latest research findings in vehicle dynamics and comfort. This simulation tool offers automotive engineers, researchers, and industry stakeholders a valuable resource for objectively assessing and benchmarking the performance and comfort aspects of BEV concepts. With its ability to provide accurate evaluations and reasoning for weaknesses, this tool has the potential to significantly contribute to the advancement and optimization of future electric vehicle designs by assessing concepts in early development stages before physical prototypes are available, allowing for cost-efficient modifications.

Sources

The tool is documented in the following scientific publication:

Rosenberger, N.; Fundel, M.; Bogdan, S.; Köning, L.; Kragt, P.; Kühberger, M.; Lienkamp, M. Scientific benchmarking: Engineering quality evaluation of electric vehicle concepts. e-Prime - Advances in Electrical Engineering, Electronics and Energy 2024, 9, 100746. https://doi.org/10.1016/j.prime.2024.100746.

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Dieses Tool beschreibt eine objektive und kostenneutrale Methode zum simulativen Benchmarking von Elektrofahrzeugen, indem Fahrzeugparameter in Kombination mit Durchschnittsparametern ein Referenz-Simulationsmodell entwickeln, welches mit den realen Ergebnissen verglichen wird.

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