Road segment and driving schedule effects in real-time operation on electric vehicle performance and operating cost analysis

Author:

Gurusamy Azhaganathan1ORCID,Ashok Bragadeshwaran1ORCID

Affiliation:

1. School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

Abstract

Electric two-wheelers (E2W) are getting attraction as personal commuting vehicles owing to their key features like zero tailpipe emissions and lower energy consumption. However, the driving range, maximum speed and load-carrying capacity are the major hurdles associated with the E2W penetration rate in modern mobility. Likewise, these performance characteristics are varying based on the powertrain size, driving and atmospheric conditions. To address these challenges, The present study is focused on evaluating the operating regions of E2W powertrain components under three major road segments including rural, highway and urban at different driving schedules such as morning, afternoon and evening. The speed, acceleration and time-related driving parameters for the selected driving routes and trip timings are calculated to study their influence on the performance of E2W along with ambient conditions. Further, this research work is extended to compare the operating cost and CO2 emission of E2W with spark-ignition two-wheeler (SI-2W) based on real-time driving conditions. The energy consumed per km for E2W is 47.10, 40.53 and 41.63 Wh/km for morning, afternoon and evening driving trips. Similarly, the battery state of charge is recorded about 14%, 30% and 27% respectively at the end of the trips. Also, the results revealed that higher energy is consumed on the morning driving schedule due to higher average speeds with unfavourable ambient conditions. On the other way around, the CO2 emission, operating cost per trip and 100 km of E2W are 6.4, 6.5 and 2.4 times lesser than SI-2W.

Funder

Royal Academy of Engineering, United Kingdom

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Reference33 articles.

1. IEA. Global EV Outlook 2022 – analysis, https://www.iea.org/reports/global-ev-outlook-2022 (2022, accessed 21 June 2023).

2. Study on real-world performance of electric two-wheelers and three-wheelers under heterogeneous traffic conditions: a case study in West Bengal State, India

3. Factors Influencing Consumers’ Purchase Intention towards Electric Two-Wheelers

4. NITI Aayog and TIFAC. Report on future penetration of electric two-wheelers in the Indian market, https://www.niti.gov.in/sites/default/files/2022-06/ForecastingPenetration-ofElectric2W_28-06.pdf (2022; accessed 22 June 2023).

5. Identification and evaluation of barriers in implementation of electric mobility in India

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