Battery sizing for electric public transportation based on real driving patterns in Rayong

Name: Arunyakonkul R.

Organization : King Mongkut's University of Technology Thonburi. Faculty of Engineering

Name: Ruangjirakit K.

Organization : King Mongkut's University of Technology Thonburi. Faculty of Engineering

Name: Hirai S.

Organization : Tokyo Institute of Technology. Academic Department of Mechanical Engineering

Name: Mongkoltanatas J.

Organization : National Science and Technology Development Agency (NSTDA). MTEC

Name: Benyajati C.

Organization : National Science and Technology Development Agency (NSTDA). MTEC

Email : chinab@mtec.or.th

keyword: Electric Public Transportation

LCSH: Transportation -- Energy consumption

LCSH: Buses, Electric -- Energy consumption

LCSH: Battery management systems

LCSH: Electric vehicles

Abstract: The rising gas price and low oil production, coupled with a desire to reduce pollution from commuting and transportation, have further pushed electric vehicles (EVs) into an increasingly popular alternative to their internal combustion engine counterpart. However, range anxiety is still an issue plaguing the application of electric vehicles. Determining the size and power of the energy storage is one of the main design challenges for electric vehicles. Reliable and accurate information on the typical usage of the vehicle of interest would be a great source to indicate power requirements and cost-effective design. However, energy consumption usually depends on several factors such as traffic conditions, driving cycle, velocities, road topology, etc. This paper presented the energy consumption analysis of electric public fleet in Rayong province. Daily operating data from six public-serviced vehicles; four diesel medium-duty trucks, and two diesel pick-up trucks, were collected. The real driving cycle was obtained via an on-board measurement method. A data logging equipment (RACELOGIC VBOX VB2SX10) was employed to collect velocity, latitude, longitude, time, and height during the daily operation of the studied vehicles. A Microtrips method was then used to construct representative driving cycles. The most representative newly constructed driving cycle from each route was used to calculate energy consumption via MATLAB/Simulink. The normalized energy consumption rate result of diesel mediumduty truck and diesel pick-up truck are 0.068 kWh/ton·km and 0.0771 kWh/ton·km.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2022

Modified: 2023-05-08

Issued: 2023-05-08

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BibliograpyCitation : In King Mongkut's University of Technology Thonburi. Faculty of Engineering. Department of Mechanical Engineering. The 12th TSME International Conference on Mechanical Engineering (TSME-ICoME12 2022) (pp.101-111). Bangkok : King Mongkut's University of Technology Thonburi

eng

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