Learning from the real-world: Insights on light-vehicle efficiency and CO2 emissions from long-term on-board fuel and energy consumption data collection

IF 9.9 1区 工程技术 Q1 ENERGY & FUELS
Alessandro Tansini , Andres L. Marin , Jaime Suarez , Nestor F. Aguirre , Georgios Fontaras
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引用次数: 0

Abstract

This study explores the potential of On-Board Fuel and energy Consumption Monitoring (OBFCM) and telemetry to bridge the knowledge gap in real-world vehicle usage and fuel/energy consumption. Driving data from 50 light-duty vehicles with different technologies was collected over-the-air through OBD dongles and analysed (data is made available online), highlighting elements of vehicles real-world operation complementing the official OBFCM datasets. Fuel and energy consumption metrics are presented for the vehicle technologies captured, together with an analysis of the real-world factors affecting them. Internal Combustion Engine Vehicles (ICEVs) and Mild Hybrid Electric Vehicles (MHEVs) are mostly affected by urban driving, with a fuel increase of up to +1.20 l/100 km. Hybrid Electric Vehicles (HEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) are mostly affected by motorway driving, with an increase of +1.26 and +3.85 l/100 km respectively. Extreme ambient temperatures affect ICEVs and MHEVs (up to +1 l/100 km) less than HEVs and PHEVs (+1.5 l/100 km and more). Distance statistics are also analysed in terms of daily driven distance distribution, total annual distance and shares between different driving conditions (urban, rural and motorway). PHEVs charge sustaining and pure electric driving consumption are presented together with details on the charging events. Real-world hints on the utility factor concept are discussed. Our PHEVs corporate users consume more compared to private users because of lower charging applied. The findings highlight how OBFCM provides accurate real-world data, crucial for accelerating greenhouse gas emissions reduction and energy consumption improvements.
从现实世界中学习:从长期的车载燃料和能源消耗数据收集中对轻型汽车效率和二氧化碳排放的见解
本研究探讨了车载燃料和能源消耗监测(OBFCM)和遥测技术的潜力,以弥合现实世界车辆使用和燃料/能源消耗方面的知识鸿沟。50辆采用不同技术的轻型汽车的驾驶数据通过OBD加密狗进行无线收集和分析(数据可在线获取),突出了车辆实际操作的元素,补充了官方OBFCM数据集。介绍了捕获的车辆技术的燃料和能源消耗指标,并分析了影响它们的现实因素。内燃机汽车(ICEVs)和轻度混合动力汽车(mhev)受城市驾驶影响最大,油耗增加高达1.20升/百公里。混合动力汽车(hev)和插电式混合动力汽车(phev)受高速公路行驶影响最大,分别增加+1.26和+3.85升/百公里。极端环境温度对icev和mhev的影响(最高为+1升/100公里)小于hev和phev(+1.5升/100公里或更多)。距离统计还分析了日行驶距离分布、年行驶总距离和不同行驶条件(城市、农村和高速公路)之间的份额。介绍了插电式混合动力车的充电持续时间和纯电动驾驶消耗,并详细介绍了充电事件。讨论了效用因子概念在现实世界中的提示。由于收费较低,我们的插电式混合动力车企业用户比私人用户消耗更多。研究结果强调了OBFCM如何提供准确的真实世界数据,这对于加速温室气体减排和改善能源消耗至关重要。
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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来源期刊
Energy Conversion and Management
Energy Conversion and Management 工程技术-力学
CiteScore
19.00
自引率
11.50%
发文量
1304
审稿时长
17 days
期刊介绍: The journal Energy Conversion and Management provides a forum for publishing original contributions and comprehensive technical review articles of interdisciplinary and original research on all important energy topics. The topics considered include energy generation, utilization, conversion, storage, transmission, conservation, management and sustainability. These topics typically involve various types of energy such as mechanical, thermal, nuclear, chemical, electromagnetic, magnetic and electric. These energy types cover all known energy resources, including renewable resources (e.g., solar, bio, hydro, wind, geothermal and ocean energy), fossil fuels and nuclear resources.
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