Fuel consumption analysis tool based on hybrid electric vehicle models

E. Otaola, Benat Arteta, Joshué Pérez, A. Sierra-González, P. Prieto
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Abstract

The reduction of fuel consumption and Greenhouse Gases is of key importance during the last decades. Heavy-duty vehicles have been extensively researched due to the significant pollution produced. This work presents a novel simulation platform for different heavy-duty powertrain topologies: mainly combustion and parallel hybrid. This work was developed in the framework of a LONGRUN project, where a platform was implemented based on forward-looking formulation. This allows the assessment of hybrid control systems development, analysing the impact of the hybrid and electric topologies. We compared the results with a commercial tool (VECTO) adopted by the European Commission to validate the platform components over combustion powertrain analysis. In this paper, we provide a modular platform for heavy-duty vehicles, in a widely used software inside the automotive industry. Moreover, our tool has the possibility to implement hybrid electric vehicles powertrain topologies for the assessment of their control strategies and the analysis of fuel consumption and Greenhouse Gases emissions. The results show proposing results in terms of performance of the model used and fuel saving.
基于混合动力汽车模型的油耗分析工具
在过去的几十年里,减少燃料消耗和温室气体是至关重要的。由于重型汽车产生的严重污染,人们对其进行了广泛的研究。这项工作为不同的重型动力系统拓扑提供了一个新的仿真平台:主要是燃烧和并联混合动力。这项工作是在龙润项目的框架下开展的,该项目基于前瞻性的制定实施了一个平台。这允许评估混合控制系统的发展,分析混合和电动拓扑的影响。我们将结果与欧洲委员会采用的商业工具(VECTO)进行了比较,该工具通过燃烧动力系统分析来验证平台组件。在本文中,我们为重型车辆提供了一个模块化平台,在汽车行业内广泛使用的软件。此外,我们的工具还可以实现混合动力汽车的动力系统拓扑,以评估其控制策略,并分析燃油消耗和温室气体排放。结果表明,所使用的模型在性能和燃料节约方面取得了令人满意的结果。
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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