A Study on the Prediction of Actual Driving Fuel Consumption and Carbon Emission of N2 Class Heavy Duty Diesel Vehicles on Mountain City Road

IF 3.8 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Gangzhi Tang, Xuefei Deng, Dong Liu, Jiajun Liu
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Abstract

In order to predict the fuel consumption and carbon emission of vehicle driving on mountain city road, this research constructs energy conversion, fuel consumption and carbon emission model for N2 class heavy-duty diesel vehicle. The model is constructed based on the first law of engineering thermodynamics and the driving dynamic theory. The constructed model fully considers the impact of road slope characteristics on fuel consumption of mountain city roads and requires fewer parameters. The accuracy of the model is verified by actual road driving test data. Then, the prediction model is improved by adopting actual acceleration characteristics. Next, this research discusses the effects of speed, acceleration and slope on fuel consumption and carbon emission characteristics. Result indicates that when assuming the vehicle travels at a constant speed, the errors are large between measurement value and prediction value, the average errors are approximately 13% for fuel consumption and 14% for carbon emission. After considering the acceleration factor, the accuracy of the prediction model is significantly improved. Result shows that the correlation coefficient R2 between predicted value and tested value increased by 0.154 for fuel consumption and 0.183 for instantaneous work done, indicating an enhanced correlation between these values. This article constructs a vehicle fuel consumption and carbon emission model for mountain city roads. The predicted results of the model can reflect the actual fuel consumption and carbon emission levels during driving. Model developed in this paper has a typical physical meaning and can be applied to other roads and other vehicles.

为了预测车辆在山区城市道路行驶的油耗和碳排放,本研究构建了 N2 级重型柴油车的能量转换、油耗和碳排放模型。模型的构建基于工程热力学第一定律和行驶动力学理论。所建模型充分考虑了山地城市道路坡度特性对油耗的影响,所需参数较少。实际道路行驶测试数据验证了模型的准确性。然后,通过采用实际加速度特性对预测模型进行了改进。接下来,本研究讨论了速度、加速度和坡度对油耗和碳排放特征的影响。结果表明,假设车辆以恒定速度行驶,测量值与预测值之间的误差较大,油耗的平均误差约为 13%,碳排放的平均误差约为 14%。在考虑加速度因素后,预测模型的准确性得到了显著提高。结果表明,预测值与测试值之间的相关系数 R2 在燃料消耗量方面增加了 0.154,在瞬时功耗方面增加了 0.183,表明这些值之间的相关性增强。本文构建了山区城市道路车辆燃料消耗和碳排放模型。该模型的预测结果能够反映车辆行驶过程中的实际油耗和碳排放水平。本文建立的模型具有典型的物理意义,可应用于其他道路和其他车辆。
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
Water, Air, & Soil Pollution
Water, Air, & Soil Pollution 环境科学-环境科学
CiteScore
4.50
自引率
6.90%
发文量
448
审稿时长
2.6 months
期刊介绍: Water, Air, & Soil Pollution is an international, interdisciplinary journal on all aspects of pollution and solutions to pollution in the biosphere. This includes chemical, physical and biological processes affecting flora, fauna, water, air and soil in relation to environmental pollution. Because of its scope, the subject areas are diverse and include all aspects of pollution sources, transport, deposition, accumulation, acid precipitation, atmospheric pollution, metals, aquatic pollution including marine pollution and ground water, waste water, pesticides, soil pollution, sewage, sediment pollution, forestry pollution, effects of pollutants on humans, vegetation, fish, aquatic species, micro-organisms, and animals, environmental and molecular toxicology applied to pollution research, biosensors, global and climate change, ecological implications of pollution and pollution models. Water, Air, & Soil Pollution also publishes manuscripts on novel methods used in the study of environmental pollutants, environmental toxicology, environmental biology, novel environmental engineering related to pollution, biodiversity as influenced by pollution, novel environmental biotechnology as applied to pollution (e.g. bioremediation), environmental modelling and biorestoration of polluted environments. Articles should not be submitted that are of local interest only and do not advance international knowledge in environmental pollution and solutions to pollution. Articles that simply replicate known knowledge or techniques while researching a local pollution problem will normally be rejected without review. Submitted articles must have up-to-date references, employ the correct experimental replication and statistical analysis, where needed and contain a significant contribution to new knowledge. The publishing and editorial team sincerely appreciate your cooperation. Water, Air, & Soil Pollution publishes research papers; review articles; mini-reviews; and book reviews.
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