Mobypost的EMR建模

D. Chrenko, L. Vichard
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引用次数: 0

摘要

为虚拟和硬件在环测试开发高可信度、实时仿真模型,为汽车行业在虚拟产品开发和生产方面提供了新的机会,以降低成本缩短燃料电池电动汽车(fcev)的上市时间。然而,fcev面临的挑战是混合动力和电气化的结合,这将导致车辆品种的显著增加和系统复杂性的增加。本文提出了一种统一的数字模型组织方法,以实现虚拟测试与真实测试的无缝集成。该工具还应用于Mobypost项目期间开发的邮政投递FCEV及其车辆级别的组件。该模型可以反映出在PANDA项目中开发的方法能够描述包括电、磁、机械和化学在内的多领域的Mobypost车辆。此外,通过模拟复杂的道路环境,还可以为氢燃料电池汽车参数的优化提供电池与燃料电池之间的功率和能量比例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EMR Modeling of Mobypost
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.
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