The study, published in the journal Applied Energy, shows that balanced installation of medium and fast charging stations with strategic distribution can increase usage rates by 50% to 100% compared to current random placement methods.
The team, led by operations researcher Euchen Sophie Liu, used Bayesian optimization, a mathematical technique that uses historical data and effectively models the behavior of millions of drivers, to improve future placements. Analyzing data from the Atlanta area, researchers examined models of 30,000 vehicles across more than 113,000 simulated trips.
The results showed that “Level 2” medium-speed charging stations appeal to drivers who park for long periods of time, while “DCFC” fast charging stations attract drivers who make unexpected sudden stops. Additionally, the study highlights how factors such as market size, consumer preferences, and pricing significantly impact the efficiency of electric vehicle charging infrastructure.
Source: Ferra
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