کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5119371 1485869 2017 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fuel consumption model for heavy duty diesel trucks: Model development and testing
ترجمه فارسی عنوان
مدل مصرف سوخت برای کامیون های دیزلی سنگین: توسعه و آزمایش مدل
کلمات کلیدی
کامیون دیزل سنگین مدل مصرف سوخت، زیست محیطی، رانندگی با محیط زیست، سرعت کروز بهینه
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست علوم زیست محیطی (عمومی)
چکیده انگلیسی


- An instantaneous energy consumption model is developed for diesel heavy duty trucks.
- The model does not produce a bang-bang control system.
- A convex fuel consumption model captures grade and truck weight impacts on fuel consumption.
- The model estimates are demonstrated to be consistent with the field measurements.
- The optimum cruising speed for trucks ranges between 32 and 52 km/h.

A simple, efficient, and realistic fuel consumption model is essential to support the development of effective eco-freight strategies, including eco-routing and eco-driving systems. The majority of the existing heavy duty truck (HDT) fuel consumption models, however, would recommend that drivers accelerate at full throttle or brake at full braking to minimize their fuel consumption levels, which is obviously not realistic. To overcome this shortcoming, the paper applies the Virginia Tech Comprehensive Power-based Fuel consumption Model (VT-CPFM) framework to develop a new model that is calibrated and validated using field data collected using a mobile emissions research laboratory (MERL). The results demonstrate that the model accurately predicts fuel consumption levels consistent with field observations and outperforms the comprehensive modal emissions model (CMEM) and the motor vehicle emissions simulator (MOVES) model. Using the model it is demonstrated that the optimum fuel economy cruise speed ranges between 32 and 52 km/h with steeper roads and heavier trucks resulting in lower optimum cruise speeds. The results also demonstrate that the model generates accurate CO2 emission estimates that are consistent with field measurements. Finally, the model can be easily calibrated using data collected using non-engine instrumentation (e.g. Global Positioning System) and readily implemented in traffic simulation software, smartphone applications and eco-freight programs.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part D: Transport and Environment - Volume 55, August 2017, Pages 127-141
نویسندگان
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