The rising population in suburban areas have led to an increasing demand for commuter\nbuses. Coupled with a desire to reduce pollution from the daily routine of traveling and transportation,\nelectric vehicles have become more interesting as an alternative placement for internal combustion\nengine vehicles. However, in comparison to those conventional vehicles, electric vehicles have an issue\nof limited driving range. One of the main challenges in designing electric vehicles (EVs) is to estimate\nthe size and power of energy storage system, i.e., battery pack, for any specific application. Reliable\ninformation on energy consumption of vehicle of interest is therefore necessary for a successful EV\nimplementation in terms of both performance and cost. However, energy consumption usually\ndepends on several factors such as traffic conditions, driving cycle, velocities, road topology, etc.\nThis paper presents an energy consumption analysis of electric vehicle in three different route types\ni.e., closed-area, inter-city, and local feeder operated by campus tram and shuttle bus. The driving\ndata of NGV campus trams operating in a university located in suburban Bangkok and that of shuttle\nbuses operating between local areas and en route to the city were collected and the corresponding\nrepresentative driving cycles for each route were generated. The purpose of this study was to carry\nout a battery sizing based on the fulfilment of power requirements from the representative real\ndriving pattern in Thailand. The real driving cycle data i.e., velocity and vehicle global position were\ncollected through a GPS-based piece of equipment, VBOX. Three campus driving data types were\ngathered to achieve a suitable dimensioning of battery systems for electrified university public buses.
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