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Comparative analysis of forward-facing models vs backwardfacing models in powertrain component sizing

机译:动力总成零部件选型中前向模型与后向模型的比较分析

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Powertrain size optimisation based on vehicle class and usage profile is advantageous for reducing emissions. Backward-facing powertrain models, which incorporate scalable powertrain components, have often been used for this purpose. However, due to their quasi-static nature, backward-facing models give very limited information about the limits of the system and drivability of the vehicle. This makes it difficult for control system development and implementation in hardware-in-the-loop (HIL) test systems. This paper investigates the viability of using forward-facing models in the context of powertrain component sizing optimisation. The vehicle model used in this investigation features a conventional powertrain with an internal combustion engine, clutch, manual transmission, and final drive. Simulations that were carried out have indicated that there is minimal effect on the optimal cost with regards to variations in the driver model sensitivity. This opens up the possibility of using forward-facing models for the purpose of powertrain component sizing.
机译:基于车辆类别和使用情况的动力总成尺寸优化有利于减少排放。包含可扩展动力总成组件的后向动力总成模型通常用于此目的。但是,由于它们具有准静态特性,因此后向模型提供的有关系统限制和车辆驾驶性能的信息非常有限。这使得控制系统在硬件在环(HIL)测试系统中的开发和实现变得困难。本文研究了在动力总成组件尺寸优化中使用前向模型的可行性。本研究中使用的车辆模型具有常规动力总成,具有内燃机,离合器,手动变速器和终传动。进行的模拟表明,关于驾驶员模型灵敏度的变化,对最佳成本的影响最小。这开辟了使用前向模型进行动力总成零部件尺寸确定的可能性。

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