Indirect Fuel Rationing for a Special Self-Propelled Rolling Stock

Alexander Mitrofanov, Anton Ivaschenko, Alexandr Avsievich, Vladimir Avsievich and Oleg Golovnin
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Alexander Mitrofanov: Railway Power Supply and Mechatronics, Automation and Transport Control Departments, Samara State Transport University, 443066 Samara, Russia
Anton Ivaschenko: Computer Science Department, Samara State Technical University, 443100 Samara, Russia
Alexandr Avsievich: Railway Power Supply and Mechatronics, Automation and Transport Control Departments, Samara State Transport University, 443066 Samara, Russia
Vladimir Avsievich: Railway Power Supply and Mechatronics, Automation and Transport Control Departments, Samara State Transport University, 443066 Samara, Russia
Oleg Golovnin: Information Systems and Technologies Department, Samara National Research University, 443086 Samara, Russia

Energies, 2022, vol. 15, issue 3, 1-20

Abstract: A method of indirect rationing of diesel fuel for special self-propelled rolling stock is presented, based on the identification of actual fuel consumption and controlled operating modes. Based on the results of test trips using automated accounting systems for operating modes and fuel consumption, the method allows us to assess reasonable volumes of fuel consumption in a specific section of the railway infrastructure. We show how the methods of identifying actual fuel consumption and operating modes can establish consumption rates of special self-propelled rolling stock without the use of automated fuel metering. The identification method is based on solving a multifactorial equation, the coefficients of which are determined in a program with statistical functions. To eliminate multicollinearity problems, the use of cluster analysis methods is proposed. Unlike traditional calculation methods, the method allows for the determination of the norming indicators in conditions of incomplete and partially incorrect data. The study was conducted using data on fuel consumption of special self-propelled rolling stock at a particular railway range and the relevant regulatory documents provided by Russian Railways. The results were obtained by applying the method to special self-propelled rolling stock used in the electrification and railway track departments of Russian Railways. The proposed method allows for simulation of the indicator of normalized fuel consumption with an accuracy not worse than 96%. Based on the obtained model of normalized fuel consumption, the method and parameters for identifying abnormal and unauthorized fuel overconsumption are shown. The criteria for identifying abnormal fuel overconsumption using the normalized standard deviation function were determined.

Keywords: diesel fuel consumption; special self-propelled rolling stock; predicted fuel consumption; self-propelled rolling stock functioning modes; identification method; simulation accuracy; factors of cluster analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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