Plug-in Electric Vehicle Owner Behaviour Studyusing Fuzzy Systems

In this paper, we focused on one of the important aspects of plug-in electric vehicle (PIEV) use: the PIEV owners’ behaviour modelling. In order to investigate the effect of several factors on owners’ behaviour, having a set of historical data about the customers is necessary. For this purpose, a questionnaire has been designed in Google spreadsheet and the output results of this data collection have been used for modelling purpose. Firstly, the collected data was sorted and shown in a fuzzified format based on the final decision-making concept. In the next step, fuzzy rules are defined to calculate the customer acceptance index (CAI) based on four fuzzy inputs: cost of electricity (CE), cost of fuel (CF), fast/slow charging penetration (FSP) and controlled/uncontrolled charging penetration (CUP). Finally, the results have been shown in terms of CAI value which is an integer in the [0,1] interval.