“EMR Modeling of Mobypost”

Title: EMR Modeling of Mobypost

Written by: Daniela Chrenko, Loïc Vichard

Abstract: The development of high-confidence, real-time capable simulation models for virtual and hardware-in-the-loop testing offers new opportunities for the automotive industry in terms of virtual product development and production to reduce the time-to-market of the fuel cell electric vehicles (FCEVs) at lower costs. However, the challenge is the combination of the hybridization and electrifications in the FCEVs leading to significantly increased vehicle variants and increased system complexity. In this paper, a unified organization of digital models is applied with the objective to seamlessly integrate virtual and real testing as proposed in the PANDA project is presented. This tool is than applied to the postal delivery FCEV developed during the Mobypost project and its components at the vehicle level. The model can reflect that the method developed during the PANDA project is capable to describe the Mobypost vehicle with its multi-domains, including electric, magnetic, mechanical and chemical. Besides, by simulating a complex road environment, the proportion of power and energy between battery and fuel cell can also be provided for the optimization of the FCEVs parameters.

Roads, Fuel cells, Production, Tools, Propulsion, Real-time systems, Testing

DOI: 10.1109/VPPC49601.2020.9330834

Orginal article: https://ieeexplore.ieee.org/document/9330834