Analysis of the Impact of Static and Dynamic Driving Factors on the Consumption Difference Between LNG-and Diesel-Powered Heavy-Duty Trucks in Test Track Environment

Abstract

The present study builds upon the authors′ previous research, which highlighted the fuel consumption advantage of LNG-powered (liquefied natural gas) trucks over conventional diesel vehicles. Expanding on this topic, the aim of this research is to analyze the influence of static and dynamic driving factors on the consumption advantage of LNG vehicles. The study was conducted in a test-track environment, ensuring optimal reproducibility with minimal external influencing factors, allowing for various types of measurements. In this research, fuel consumption values were recorded indirectly through the fleet management system (FMS) using controller area network (CAN) messages. Data distribution analysis, the Shapiro-Wilk test, and ANOVA were employed to validate the research hypotheses. Our study is unique in the field of heavy-duty vehicles (HDVs) as the measurements were performed at the test-track level, providing precise data for emission differences. The results indicate that the static driving environment (represented by different test track modules) has a stronger influence on the consumption advantage of LNG vehicles. In contrast, driving mode has a lesser effect on the consumption difference between LNG and diesel trucks.