首页> 外文会议>IEEE Vehicle Power and Propulsion Conference >Multi-Frequency Averaging (MFA) Model of Electric-Hybrid Powertrain Suitable for Variable Frequency Operation Applied in Geographically-Distributed Power Hardware-in-the-Loop (GD-PHiL) Simulation
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Multi-Frequency Averaging (MFA) Model of Electric-Hybrid Powertrain Suitable for Variable Frequency Operation Applied in Geographically-Distributed Power Hardware-in-the-Loop (GD-PHiL) Simulation

机译:适用于变频运行的电混合动力总成的多频平均(MFA)模型在地理分布式电源在环(GD-PHiL)仿真中的应用

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Project aims to develop capability for OEMs and suppliers to 'virtually-connect' multiple prototype powertrain components (engine, drive etc.) and engage in real-time system simulation, thereby reducing cost by eliminating co-location dependency. Technical challenge faced is to duplicate test-hardware state & performance at remote location(s) real-time via an indeterminate internet connection characteristic of latency and jitter. MFA-based remote model is a potential solution but applied research till date has been for fixed-frequency operation. This paper explores variable frequency operation of MFA and outlines the implementation of generic electric powertrain intended for remote control/operation, indicating key performance improvements over time-domain switching models.
机译:项目旨在为OEM和供应商制定能力,以“实际上连接”多种原型动力总成部件(发动机,驱动器等)并从而实现实时系统仿真,从而通过消除共同位置依赖来降低成本。面临的技术挑战是通过延迟和抖动的不确定Internet连接特性将测试硬件状态和性能进行重复。基于MFA的远程模型是一个潜在的解决方案,但应用研究到达日期已经用于固定频率操作。本文探讨了MFA的变频操作,并概述了用于远程控制/操作的通用电动动力驱动器的实现,表明通过时域切换模型的关键性能改进。

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