Scipediacontent: Scipediacontent moved page Draft Content 833963529 to Duangsrikaew et al 2019a

2021-02-12T11:31:37Z

Scipediacontent moved page Draft Content 833963529 to Duangsrikaew et al 2019a

Scipediacontent: Created page with " == 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..."

2021-02-12T11:31:34Z

Created page with " == 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..."

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== 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.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_833963529-beopen16-1969-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.3390/wevj10020043 http://dx.doi.org/10.3390/wevj10020043] under the license https://creativecommons.org/licenses/by

* [https://www.mdpi.com/2032-6653/10/2/43/pdf https://www.mdpi.com/2032-6653/10/2/43/pdf] under the license http://creativecommons.org/licenses/by/3.0/

* [https://www.mdpi.com/2032-6653/10/2/43 https://www.mdpi.com/2032-6653/10/2/43],
: [https://doaj.org/toc/2032-6653 https://doaj.org/toc/2032-6653] under the license cc-by

* [https://www.mdpi.com/2032-6653/10/2/43 https://www.mdpi.com/2032-6653/10/2/43],
: [https://www.mdpi.com/2032-6653/10/2/43/pdf https://www.mdpi.com/2032-6653/10/2/43/pdf],
: [https://academic.microsoft.com/#/detail/2952219851 https://academic.microsoft.com/#/detail/2952219851]

* [https://www.mdpi.com/2032-6653/10/2/43/pdf https://www.mdpi.com/2032-6653/10/2/43/pdf],
: [http://dx.doi.org/10.3390/wevj10020043 http://dx.doi.org/10.3390/wevj10020043]

under the license https://creativecommons.org/licenses/by/4.0/

← Older revision	Revision as of 11:31, 12 February 2021
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Duangsrikaew et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 833963529 to Duangsrikaew et al 2019a

Scipediacontent: Created page with " == 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..."