Abstract

There is an increasing interest in properly representing local driving patterns. The most frequent alternative to describe driving patterns is through a representative time series of speed, denominated driving cycle (DC). However, the DC duration is an important factor in achieving DC representativeness. Long DCs involve high testing costs, while short DCs tend to increase the uncertainty of the fuel consumption and tailpipe emissions results. There is not a defined methodology to establish the DC duration. This study aims to study the effect of different durations of the DCs on their representativeness. We used data of speed, time, fuel consumption, and emissions obtained by monitoring for two months the regular operation of a fleet of 15 buses running in two flat urban regions with different traffic conditions. Using the micro-trips method, we constructed DCs with a duration of 5, 10, 15, 20, 25, 30, 45, 60, and 120 min for each region. For each duration, we repeated the process 500 times in order to establish the trend and dispersion of the DC characteristic parameters. The results indicate that to obtain driving pattern representativeness, the DCs must last at least 25 min. This duration also guarantees the DC representativeness in terms of energy consumption and tailpipe emissions.

Highlights

  • We used as assessment criteria average speed, percentage of idling time, and specific fuel consumption (SFC), following up the results reported in Quirama et al [21], who identified the main characteristic parameters to construct driving cycle (DC)

  • We proposed a methodology to analyze the effects of driving cycle (DC)

  • Duration on the level of representativeness of the local driving pattern and on the level of reproducibility of fuel consumption and tailpipe emissions when vehicles are tested on a chassis dynamometer following that DCs

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. There is an increasing interest in studying the manner that drivers drive the vehicles in a region, and its impact on energy consumption, in the case of electric vehicles, and fuel consumption and tailpipe emissions in the case of vehicles with an internal combustion engine. Local driving pattern is a term used to define the average driving characteristics of the region. The driving patterns frequently are described by a speed-time series, denominated driving cycle (DC) [1,2]

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