Electric vehicle owners who want to charge at work will soon have a new tool to help, thanks to a study announced Thursday from UC San Diego researchers.
The research, to be published in the April issue of science journal Renewable Energy, was intended to help firms working to support employees making the switch to EVs.
Ryan Hanna, assistant research scientist at UC San Diego and co-author of the paper, explained that early EV adopters have tended to be wealthier and able to boost their vehicles with private home chargers. But others who may switch to EVs, he noted, are renters or bought into buildings with multiple units, and are unlikely to install home units.
“They need other options and most forecasts indicate that workplace charging is going to be the second-most prevalent mode of charging, behind residential charging,” he said.
Hanna and co-author Jeff Myers, a research associate with the UC San Diego Deep Decarbonization Initiative, worked with researchers and UCSD leaders to study how vehicle owners actually use their cars on campus.
Using data from more than 800 EV drivers at UCSD – home to the largest EV charging network of any university in the English-speaking world – they developed a tool to improve computational models by incorporating reported and observed habits of drivers at the campus’ 439 charging stations.
“We have demonstrated that using data from real EV drivers – rather than relying on idealized or regionally-averaged assumptions – can have a significant impact on the optimal design of a charging network,” Myers said.
For example, the team learned drivers charge their vehicles more frequently than previously assumed, not liking to fall below 60% of full charge.
“The study shows that if workplaces take the time to understand how their employees use their electric cars and charge them, they can create charging networks that are more cost-effective, more efficient and better for the environment,” said another co-author, Teevrat Garg, an associate professor of economics at UCSD’s School of Global Policy and Strategy.
The researchers said they plan to make the computational model available to the public.
According to the study, organizations can collect data in their own networks and insert it into the model. Key data points include annual driving mileage, commuting mileage, whether or not drivers have a home charger and how often they charge at work.
Even if unable to collect this data independently, firms can still use the model by inputting behavior data for the average EV driver.
David Victor, a senior author of the study and professor of innovation and public policy at the School of Global Policy and Strategy, said he hopes UCSD’s research and EV investment “serve as a model for other institutions seeking to curb emissions by supporting the growing number of electric vehicles on the road.
“This kind of tailored design could help organizations provide a better charging experience for their workers, support the shift to electric vehicles and contribute to sustainability goals by reducing emissions from commuting,” he said.
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