Reducing the variability of hybrid electric vehicle fuel economy in the real world
Reducing the variability of hybrid electric vehicle fuel economy in the real world
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DOI：
10.1177/0954407015603855
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发表时间：
2016-07
期刊：
影响因子：
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通讯作者：
Hillol K. Roy;A. McGordon;P. Jennings
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文献类型：
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作者：
Hillol K. Roy;A. McGordon;P. Jennings
除了提高燃料经济性之外，燃料经济性的可变性的降低对于混合动力电动车辆也是非常重要的。以前，关于如何优化混合动力电动车辆的动力传动系统部件的尺寸的研究通常集中于在给定的驾驶模式下提高燃料经济性。燃油经济性在实际驾驶模式范围内的变化通常被忽视，这可能意味着混合动力电动汽车的燃油经济性优势在实际使用中并不一致。在最近的一项研究中，提出了一种新的混合动力电动汽车的动力总成部件的设计优化方法，以减少由于驾驶模式的变化而导致的燃油经济性的变化，但该方法需要在实际使用中进行验证，以确保其实用性。在本文中，该方法在现实世界的驾驶条件下进行了验证。本文研究了由10个不同的驾驶员在预定义的路线，包括城市和高速公路驾驶产生的10个现实世界的驾驶模式的方法。该研究是使用模拟模型的丰田普锐斯混合动力电动汽车被认为是基准车辆。与丰田普锐斯相比，在10种真实驾驶模式下，该方法产生的设计将燃油经济性的可变性降低了5.3%，而不会降低平均燃油经济性。这表明所描述的方法适用于现实世界的使用。
Apart from improving the fuel economy, a reduction in the variability of the fuel economy is also of significant importance for hybrid electric vehicles. Previously, research on how to optimise the sizes of the powertrain components of hybrid electric vehicles has generally focused on improving the fuel economy over a given driving pattern. The variability of the fuel economy over a realistic range of driving patterns has generally been overlooked, and this can mean that the fuel economy benefits of hybrid electric vehicles are not consistently realised in real-world usage. In a recent study, a new methodology for design optimisation of the powertrain components of hybrid electric vehicles was proposed for the reduction in the variability of the fuel economy due to variation in the driving patterns, but the methodology needs to be validated in real-world usage for practical applicability. In this paper, the methodology is validated in real-world driving conditions. This paper investigated the methodology for 10 real-world driving patterns generated by 10 different drivers over a predefined route consisting of urban and highway driving. The study was carried out using a simulation model of a Toyota Prius hybrid electric vehicle which was considered as the benchmark vehicle. The design produced by the methodology reduced the variability of the fuel economy by 5.3% without reducing the average fuel economy compared with the Toyota Prius over the 10 real-world driving patterns. This demonstrates that the methodology described is applicable to real-world usage.