A simulation model of the real-world fuel and energy consumption of light-duty vehicles

IF 1.9
N. Zacharof, S. Doulgeris, A. Zafeiriadis, A. Dimaratos, René van Gijlswijk, Sonsoles Díaz, Zissis Samaras
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Abstract

The European Union has intensified efforts to reduce CO2 emissions from the transport sector, with the target of reducing tailpipe CO2 emissions from light-duty vehicle new registrations by 55% by 2030 and achieving zero emissions by 2035 according to the “Fit for 55” package. To promote fuel and energy consumption awareness among users under real-world conditions the MILE21—LIFE project provided tools such as a self-reporting tool and a find-a-car tool that included the official and representative on-road fuel/energy consumption values. In order to produce representative values, an in-house vehicle longitudinal dynamics simulation model was developed for use in the background of the on-line platform utilizing only a limited amount of inputs. To achieve this, the applied methodology is based on precalculated efficiency values. These values have been produced using vehicle micro-model simulations covering a wide range of operating conditions. The model was validated using measurements from a dedicated testing campaign and performed well for petrol vehicles with an average divergence of −1.1%. However, the model showed a divergence of 9.7% for diesel vehicles, 10.6% for hybrids and 8.7% for plug-in hybrids. The model was also applied to US vehicles and showed a divergence of 1.2% and 10% for city and highway driving, respectively. The application of the developed model presented in this work showed that it is possible to predict real-world fuel and energy consumption with the desired accuracy using a simplified approach with limited input data.
轻型汽车实际油耗和能耗模拟模型
根据 "Fit for 55 "一揽子计划,到 2030 年,轻型汽车新注册量的尾气二氧化碳排放量将减少 55%,到 2035 年实现零排放。为了提高用户在实际条件下对燃料和能源消耗的认识,MILE21-LIFE 项目提供了各种工具,如自我报告工具和查找汽车工具,其中包括官方和具有代表性的道路燃料/能源消耗值。为了生成具有代表性的数值,我们开发了一个内部车辆纵向动力学仿真模型,用于在线平台的后台,仅使用有限的输入量。为此,应用的方法以预先计算的效率值为基础。这些数值是通过车辆微观模型模拟得出的,涵盖了广泛的运行条件。该模型通过专门测试活动的测量结果进行了验证,对汽油车的性能表现良好,平均偏差为-1.1%。然而,该模型显示柴油车的偏差为 9.7%,混合动力车为 10.6%,插电式混合动力车为 8.7%。该模型还应用于美国车辆,在城市和高速公路行驶中分别显示出 1.2% 和 10% 的偏差。这项工作中提出的应用所开发的模型表明,使用简化方法和有限的输入数据,可以以理想的精度预测真实世界的燃料和能源消耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.20
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