An Open Access Journal
From: Development of an assessment model for predicting public electric vehicle charging stations
Variables data plan to collect (Where i is the EV user i) | Type of data | Method of collection | |
---|---|---|---|
EV User i’s Daily Travelling Distance | Quantitative | D i | Review scientific researches; check government-related websites |
EV User i’s Charging Behavior (The percentage of EV User’s Charging Away from Home) | Quantitative | i | Review scientific researches |
EV User i’s Preference of Type of Chargers in Public (L1, L2, or DC Fast Charger) | Quantitative | Pref(Ll)i. Pref(L2)i, or Pref(L3)i | Observe directly during site survey |
EV i’s Electric Range | Quantitative | Ri | Review scientific researches |
EV i’s Battery Capacity | Quantitative | Bi | Review scientific researches |
Duration of Public Charger Work Per Day (L1, L2, or DC Fast Charger) | Quantitative | TL1, TL2, and TDC | Observe directly during site survey |
The Output Power of Public Chargers Supply (L1, L2, or DC Fast Charger) | Quantitative | PL1, PL2, and PL3 | Review scientific researches |