A new study by San Diego at the University of California has developed an innovative computational equipment that can help the institutions better design. Electric vehicles (EV) by focusing on charging networks how real drivers use their cars and Charge them.
StudyPublished in Journal Renewable Energy, designed to meet the needs of organizations and firms that are struggling with ways to support their employees who are switching to EVS.
“Early EV adopters own the rich house owners who charge their vehicles with private home chargers. But it is not a representative of the broad population, which can yet switch to an EV, ”said Ryan Hannah, Assistant Research Scientist at UC San Diego, said, a research colleague with UC with Jeff Myers Are. San Diego Deep decarbonization initiative“We have to identify that many of these drivers are tenants, or they live in multi-stay units without dedicated parking locations-people who do not have the ability to install a private home charger. They require other options and most forecasts indicate that the workplace charging is going to be the second most popular mode of charging behind residential charging. ,
Hannah and Myers worked with one Team of researchers Along with UC San Diego leadership, both Campus’s parking and transport services look after, to conduct several studies in the UC San Diego campus, which is home to the largest EV charging network of any educational institution in the western world .
The team collected unknown behavior data from 2023 to 2024, received from over 800 EV drivers, as well as to charge data of 439 charging stations in UC San Diego.
That study improves existing computational models, which rely on average data or estimate. This is because it incorporates the actual reports of drivers and observed habits that are designed to serve the charging network.
Myers said, “We have displayed that using the data of real EV drivers-instead of relying on average or regional average beliefs–one can have a significant impact on the optimal design of a charging network,” said Myers said , Who earned a master from his Master of Public Policy. UC San Diego School of Global Policy and Strategy in 2023.
EV drivers are plugged when they have less than 60% battery left
For example, the team found that the existing system is not informed much about how people actually charge their EVS when they are away from home when they are away from home.
In UC San Diego, the team has learned that the drivers charge their vehicles more often than have already taken. An important discovery in the study was that drivers have a tendency to charge their cars when they have a lot of batteries left – on average, they do not prefer to fall below 60%.
With these results at hand, the new study estimates that using individual drivers instead of national average can three times the size of the network required to fully support workplace charging. These workplaces are large implications for the cost and design of the charging network. This workplace also underlines the importance of charging policies and managed charging, which dynamically adjusts how the vehicle is charged to meet the needs of both the driver and the electric grid. If well applied, policies and managed charging can encourage more efficient use of the charging network and push down the high number of essential chargers found to be found.
Researchers have planned to make their computational models publicly available so that universities or businesses such as institutions can design charging networks that meet the needs of their employees keeping the cost low.
“Studies show that if workplaces take time to understand how their employees use their electric cars and charge them, they can create charging networks that more cost effective, more efficient and for environment Better, “a colleague, Tevrat Garg said, a colleague.” Professor of Economics and co-writer at the School of Global Policy and Strategy.
The firms can use the model after collecting their own data with the behavior of EV drivers in their network and feed that information to design a more efficient EV charging network in the model. This includes the annual driving mileage of the drivers, reducing the mileage, whether they have home charger or not, how many times they charge and more. However, the firms unable to collect this data can still use the model by inputting the behavior data of the average EV drivers.
“As such, design organizations can help provide a better charging experience for their workers, supporting changes in electric vehicles and can contribute to stability goals by reducing emissions from emissions,” David VictorA senior writer and professor of the study of Innovation and Public Policy at the School of Global Policy and Strategy, who is also the co-director of Deep Decharbonization Initiative. “We hope that with our research, UC San Diego’s advanced EV network and ambitious climatic goals, as a model for other institutions seeking to curb emissions by supporting the increasing number of electric vehicles on the road, supporting the increasing number of electric vehicles on the road Work. “
Paper’s coates include UC San Diego, auxiliary Vice Chancellor of Transport and Activation, Josh Kavanagh,; John Clalesl, Jacobs School of Engineering Professor in Mechanical and Aerospace Engineering Department; Sebastian Taby, East PostDorle Scholar at School of Global Policy and Strategy and current professor at Melbourne University; And Director of Strategic Energy Initiative at Bayran Washam, UC San Diego.
(Tagstotransite) NewsWise (T) (T) California San Diego University
