This work analyzes a real-life dataset of charging records to understand charging behaviors at public charging stations. Data analytics were carried out to understand the statistical distribution of EV charging time, peak charging period, charging duration, seasonal and yearly effects, etc. The study was carried out with charger-centric data of a public car park in England, containing more than 12,000 charging records from 2016 to 2020. The results found that rapid charger (up to 50kW DC) is 3 times more popular than the fast charger (single-phase 7kW) and delivers 4 times more energy than the fast charger. This work will greatly help Charge Point Operators and Power Distribution Networks Operators for EV charging infrastructures planning and operations.
Keywords electric vehicles, EV charging, EV charging behavior