DOI: 10.5937/jaes0-27851
This is an open access article distributed under the CC BY 4.0
Volume 19 article 764 pages: 68 - 76
The aim is to develop a methodology for determining analytically the fuel consumption in a hot climate and substantiate
reliability, as well as the possibility of its application by comparison with test results. The article proposes
analytical methods for calculating fuel economy and traction-speed properties when modeling the movement of
cargo-carrying vehicles on real routes, based on theoretical and experimental studies in a hot and dry climate, which
allows for determining the efficiency of cargo-carrying vehicles objectively in terms of traction and speed, fuel and
economic indicators. Using the statistical processing of experimental, theoretical research data, the authors calculate
the coefficient X2, which allows for evaluating the adequacy of the mathematical model and experimental data. The
paper provides for an assessment of fuel economy and traction and speed properties. The authors presented the
results in graphs for the ease of evaluating the effect of external temperature on fuel consumption and the average
speed of a road train. The authors’ methodology allows for determining the efficiency of cargo-carrying vehicles in a
hot and dry climate.
1. Chen, W., Bu, Q., Liu, Z., Li, Q., Sun, B., & Li, M. (2016). Power system design for a fuel cell hybrid power tram. Journal of Southwest Jiaotong University, 51(3). http://jsju.org/index.php/journal/article/ view/119
2. Peng, Q., Li, J., Yang, Y., & Wen, C. (2016). Influences of high-speed railway construction on railway transportation of China. Journal of Southwest Jiaotong University, 51(3). http://jsju.org/index.php/ journal/article/view/114
3. Kulmukhamedov, D. R. (2018). The scientific basis for improving the efficiency of vehicles in hot and dry climates. Tafakkur Kanoti, Tashkent.
4. Zezyulin, D., Makarov, V., Belyaev, A., Ogorodnov, S., & Belyakov, V. (2014). Modeling of roads impacts for life prediction of light commercial vehicles parts. FISITA 2014 World Automotive Congress. http:// www.fisita2014.com/test/programme/sessions/ F2014-LWS-040
5. Zezyulin, D., Makarov, V., Belyaev, A., Ogorodnov, S., & Belyakov, V. (2014). Methodology of roadway impacts modeling to predict the fatigue life of vehicles. Acta Technica Jaurinensis, 7(3), 267-279. doi: 10.14513/actatechjaur.v7.n3.277
6. Zagarin, D. A., & Kulmukhamedov, D. R. (2019). Determination of the effect of external temperature on the engine speed characteristic. Collection of Materials of the International Scientific and Technical Seminar “Global Partnership as a Condition and Guarantee of Sustainable Development”. TIPSEAD, Tashkent.
7. Gusakov, S. V., Afanasyeva, I. V., Mokhsen, A., & Markov, V. A. (2015). Fuel efficiency of a power plant of a motor vehicle with an electromechanical transmission. Bulletin of Volgograd State University. Series 10, Innovation Activities, 1.
8. Karnaukhova, I. V. (2018). Fuel economy during truck operation due to adjustment of air parameters at the engine inlet. PhD thesis. Tyumen.
9. Karnaukhov, V. N., & Karnaukhov, O. V. (2016). Determination of effective specific fuel consumption for various types of engines taking into account density, pressure and air temperature. Bulletin of Kurgan State Agricultural Academy, 4.
10. Belov, A. G., & Anisimov, I. A. (2006). The effect of low external temperatures on vehicle performance. Bulletin of International Academy of Ecology and Life Protection Sciences, 11(6), 5-9.
11. Gusakov, S. V., Markov, V. A., & Mikhryachev, D. V. (2012). Calculation and experimental methodology for adjusting the driving cycle for the phase of vehicle movement in urban conditions. Bulletin of Higher Educational Institutions, 5.
12. Ogorodnov, S. M., Tikhomirov, A. N., & Maleev, S. I. (2015). Assessment of the possibility of using analytical methods in studying the fuel economy of cars. Bulletin of Higher Educational Institutions. Mechanical Engineering, 2, 53-62.