University of Cincinnati aerospace engineer Kelly Cohen and his doctoral student talked to the journal Complex Engineering Systems about how artificial intelligence will open the door to commercial drones and flying cars.
UC doctoral student Jon Ander Martin studies battery performance in drones in Cohen's lab. Unlike planes that become lighter between takeoff and landing as they burn fuel, drones powered by batteries maintain a constant weight throughout their flight, he said.
Martin's research is dedicated to finding the right size battery for an unmanned aerial vehicle or drone. The battery must be big enough to maintain flight time without being so big as to hinder performance. Finding the perfect compromise is a crucial engineering consideration, he told Complex Engineering Systems.
"The more weight in an aircraft, the performance is going to be worse," Martin said. "You need that trade-off between how many batteries you put in there and how large they are and what range you want to achieve. So you need to reach that optimum point."
Martin is the lead author of a comparative study published in Complex Engineering Systems that examined battery modeling regression methods to study battery performance.
Featured image at top: UC aerospace engineers pilot a drone. Photo/Andrew Higley/UC Marketing + Brand
