利用开发的中国重型汽车能耗和碳排放计算模型实施监测和认证

IF 3.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
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引用次数: 0

摘要

由于人们对全球变暖的担忧不断升级,汽车排放的温室气体已成为人们关注的焦点。为有效监测和认证重型汽车的燃料消耗量和二氧化碳排放量,本研究提出了一种名为 "中国重型汽车能耗和碳排放计算模型(CHECM)"的计算模型。CHECM 是一种基于纵向动力学的仿真工具。利用分类学习器获得换挡策略,在规定的驾驶循环下,准确率分别达到 92.9% 和 93.5%。此外,还采用了耗油量模型来预测发动机和变速器的瞬态性能。此外,还使用 Sobol 方法评估了滚动阻力、空气阻力和旋转质量转换系数对驱动力的敏感性,并提出了一种获得道路阻力修正系数的方法。获得了三辆国六重型车在两个法规测试周期内的测试结果,并用于模型精度评估。结果表明,测量油耗与计算油耗之间的偏差为 1.25%-3.57%,而使用中国世界瞬态车辆循环测量二氧化碳排放与计算二氧化碳排放之间的偏差为 3.23%-4.16%。CHECM具有准确复制各种驾驶条件和车辆配置的潜力,特别是在特定不确定因素受到限制的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of monitoring and certification with the developed China heavy-duty vehicle energy consumption and carbon emission calculation model

Owing to escalating concerns regarding global warming, there has been a heightened focus on greenhouse gases emitted by vehicles. To effectively monitor and certify the fuel consumption and CO2 emissions of heavy-duty vehicles, this study proposes a calculation model named the China Heavy-Duty Vehicle Energy Consumption and Carbon Emission Calculation Model (CHECM). The CHECM is a simulation tool based on longitudinal dynamics. A classification learner was utilised to obtain shifting strategies, achieving accuracies of 92.9% and 93.5% under regulated driving cycles. A fuel-consumption model was incorporated to predict the transient performance of the engine and transmission. In addition, the Sobol method was used to assess the sensitivities of rolling resistance, air drag and rotational mass conversion coefficients to the driving force and a method was proposed to obtain the road resistance correction factor. The test results of three China-6 heavy-duty vehicles over two regulatory test cycles were obtained and used for model accuracy evaluation. The results showed that the deviations between the measured and calculated fuel consumption were 1.25–3.57%, whereas those between the measured and calculated CO2 emissions using the Chinese World Transient Vehicle Cycle were 3.23–4.16%. The CHECM has the potential to accurately replicate various driving conditions and vehicle configurations, particularly when specific sources of uncertainty are constrained.

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来源期刊
Atmospheric Pollution Research
Atmospheric Pollution Research ENVIRONMENTAL SCIENCES-
CiteScore
8.30
自引率
6.70%
发文量
256
审稿时长
36 days
期刊介绍: Atmospheric Pollution Research (APR) is an international journal designed for the publication of articles on air pollution. Papers should present novel experimental results, theory and modeling of air pollution on local, regional, or global scales. Areas covered are research on inorganic, organic, and persistent organic air pollutants, air quality monitoring, air quality management, atmospheric dispersion and transport, air-surface (soil, water, and vegetation) exchange of pollutants, dry and wet deposition, indoor air quality, exposure assessment, health effects, satellite measurements, natural emissions, atmospheric chemistry, greenhouse gases, and effects on climate change.
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