Comparisons of Driving Characteristics between Electric and Diesel-Powered Bus Operations along Identical Bus Routes

Author:

Ng Ka-Wai1,Tong Hing-Yan2ORCID

Affiliation:

1. Aston Professional Education Centre, Aston University, Birmingham B6 6EJ, UK

2. Department of Engineering Systems and Supply Chain Management, Aston University, Birmingham B4 7ET, UK

Abstract

The energy consumption profiles of conventional fuelled and electric vehicles are different due to the fundamental differences in the driving characteristics of these vehicles, which have been actively researched elsewhere but mostly on the basis of uncommon geographical contexts. This study, therefore, collected driving data on electric and conventional diesel buses running along exactly the same set of bus routes in Hong Kong during normal daily revenue operations. This enabled a fair comparison of driving characteristics for both types of bus under identical real-life, on-road driving conditions, which highlighted the originality and contributions of this study. A three-step approach was adopted to carry out detailed driving pattern analyses, which included key driving parameters, speed–acceleration probability distributions (SAPDs), and vehicle-specific power (VSP) distributions. Results found that route-based comparisons did highlight important differences in driving patterns between electric and diesel buses that might have been smoothed out by analyses with mixed-route datasets. In particular, the spread, intensity, and directions of these differences were found to be exaggerated at the route-based level. The differences in driving patterns varied across different routes, which has significant implications on vehicle energy consumption. Government agencies and/or bus operators should make references to these results in formulating electric bus deployment plans.

Publisher

MDPI AG

Reference63 articles.

1. Is it really the end of internal combustion engines and petroleum in transport?;Kalghatgi;Appl. Energy,2018

2. Dual fuel combustion and hybrid electric powertrains as potential solution to achieve 2025 emissions targets in medium duty trucks sector;Gaillard;Energy Convers. Manag.,2020

3. Effectiveness of hybrid powertrains to reduce the fuel consumption and NOx emissions of a Euro 6d-temp diesel engine under real-life driving conditions;Energy Convers. Manag.,2019

4. Comparative study of fuel cell, battery and hybrid buses for renewable energy constrained areas;Stempien;J. Power Sources,2017

5. Ritchie, H., and Roser, M. (2024, April 30). CO2 and Greenhouse Gas Emissions, Our World in Data. Available online: https://ourworldindata.org/co2-and-greenhouse-gas-emissions.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3