Effects of driving style on the fuel consumption of city buses under different road conditions and vehicle masses. (December 2015)

• Record Type: Journal Article
• Authors: Ma, Hongjie; Xie, Hui; Huang, Denggao; Xiong, Shuo
• Is Part Of: Transportation research. Volume 41(2015)
• Page Start: 205
• Page End: 216
• Publication Date: 2015-12
• Subjects: Driving style -- Fuel consumption -- Road condition -- Vehicle mass -- Eco-driving; Transportation -- Research -- Periodicals; Transportation -- Environmental aspects -- Periodicals; 354.76
• DOI: 10.1016/j.trd.2015.10.003
• Languages: English
• ISSNs: 1361-9209

Abstract

Highlights: 26 driving style parameters are summarized based on a vehicle-engine combined model. Operation behavior in accelerating process significantly influence fuel consumption. Surplus power will increase fuel economy difference among different driving styles. The minimum sample size necessary for analyzing the said influence is calculated. Abstract: The variance in fuel consumption caused by driving style (DS) difference exceeds 10% and reaches a maximum of 20% under different road conditions, even for experienced bus drivers. To study the influence of DS on fuel consumption, a method for summarizing DS characteristic parameters on the basis of vehicle-engine combined model is proposed. With this method, the author proposes 26 DS characteristic parameters related to fuel consumption in the accelerating, normal running, and decelerating processes of vehicles. The influence of DS characteristic parameters on fuel consumption under different road conditions and vehicle masses is quantitatively analyzed on the basis of real driving data over 100, 000 km. Analysis results show that the influence of DS characteristic parameters on fuel consumption changes with road condition and vehicle mass, with road condition serving a more important function. However, the DS characteristics in the accelerating process of vehicles are decisive for fuel consumption under different conditions. This study also calculates the minimum sample size necessary for analyzing the effect of DS characteristics on fuel consumption. The statistical analysis based on the real driving data over 2500 km can determine the influence of DS on fuel consumption under a given power-train configuration and road condition. The analysis results can be employed to evaluate the fuel consumption of drivers, as well as to guide the design of Driver Advisory System for Eco-driving directly.