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Battery sizing for electric vehicles based on real driving patterns in Thailand
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Document Title
Battery sizing for electric vehicles based on real driving patterns in Thailand
Author
Duangsrikaew B., Mongkoltanatas J., Benyajati C.-N., Karin P., Hanamura K.
Name from Authors Collection
Scopus Author ID
55569885200
Scopus Author ID
55786383800
Affiliations
National Science and Technology Development Agency (NSTDA), 111 Thailand Science Park, Thanon Phahonyothin, Tambon Khlong Nueng, Amphoe Khlong Luang, Phathum Thanni, 12120, Thailand; MTEC, National Science and Technology Development Agency (NSTDA), 114 Thailand Science Park, Thanon Phahonyothin, Tambon Khlong Nueng, Amphoe Khlong Luang, Phathum Thanni, 12120, Thailand; King Mongkut's Institute of Technology Ladkrabang, Chalongkrung Road, Ladkrabang, Bangkok, 10520, Thailand; Department of Mechanical Engineering, Tokyo Institute of Technology, Tokyo, 152-8550, Japan
Type
Article
Source Title
World Electric Vehicle Journal
ISSN
20326653
Year
2019
Volume
10
Issue
2
Open Access
Gold
Publisher
MDPI AG
DOI
10.3390/wevj10020043
Format
Abstract
The rising population in suburban areas have led to an increasing demand for commuter buses. Coupled with a desire to reduce pollution from the daily routine of traveling and transportation, electric vehicles have become more interesting as an alternative placement for internal combustion engine vehicles. However, in comparison to those conventional vehicles, electric vehicles have an issue of limited driving range. One of the main challenges in designing electric vehicles (EVs) is to estimate the size and power of energy storage system, i.e., battery pack, for any specific application. Reliable information on energy consumption of vehicle of interest is therefore necessary for a successful EV implementation in terms of both performance and cost. However, energy consumption usually depends on several factors such as traffic conditions, driving cycle, velocities, road topology, etc. This paper presents an energy consumption analysis of electric vehicle in three different route types i.e., closed-area, inter-city, and local feeder operated by campus tram and shuttle bus. The driving data of NGV campus trams operating in a university located in suburban Bangkok and that of shuttle buses operating between local areas and en route to the city were collected and the corresponding representative driving cycles for each route were generated. The purpose of this study was to carry out a battery sizing based on the fulfilment of power requirements from the representative real driving pattern in Thailand. The real driving cycle data i.e., velocity and vehicle global position were collected through a GPS-based piece of equipment, VBOX. Three campus driving data types were gathered to achieve a suitable dimensioning of battery systems for electrified university public buses. © 2019 by the authors.
Keyword
Battery sizing | Driving cycle | Electric vehicle | Energy consumption
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
Funding Sponsor
Mahidol University; National Science and Technology Development Agency; Tokyo Institute of Technology; Thailand Graduate Institute of Science and Technology; National Metal and Materials Technology Center
License
CC BY
Rights
Author
Publication Source
Scopus
Note
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