Skip to content

US: New control algorithms to improve Li-ion efficiency

Engineers at the University of California, San Diego, have developed new algorithms that allow lithium-ion batteries to run more efficiently, potentially reducing their cost by 25% and allowing them to accept a charge twice as fast as is currently possible. In one instance, electric batteries could be charged in 15 minutes. The US Department of … Continued

Engineers at the University of California, San Diego, have developed new algorithms that allow lithium-ion batteries to run more efficiently, potentially reducing their cost by 25% and allowing them to accept a charge twice as fast as is currently possible. In one instance, electric batteries could be charged in 15 minutes.

The US Department of Energy’s Advanced Research Projects Agency – Energy (ARPA-E) has awarded researchers at the Jacobs School of Engineering at UC San Diego, Bosch, and the battery manufacturer Cobasys just under US$4m to develop the estimation algorithms technology for EV batteries. UC San Diego’s share of the grant is US$415,000 for the research group of Professor Miroslav Krstic and UC President’s Postdoctoral Fellow Scott Moura in the Department of Mechanical and Aerospace Engineering at the Jacobs School.

“This research is bringing the promise that, with advanced estimation algorithms that are based on mathematical models, batteries can be charged faster and can run more powerful electric motors,” said Krstic, who is also Associate Vice Chancellor for research at UC San Diego. Manufacturers usually rely on voltage and current to monitor batteries’ behaviour and health, but relying on these measures can lead to over-designed or oversized batteries that are heavier and more expensive than they need to be.

The grant will allow the researchers to refine the algorithms and to test them on batteries on test beds developed by Bosch and Cobasys. They will first estimate the charge distribution within the battery, then estimate its state of health. Finally the researchers will devise a strategy to find optimal rates of charging and discharging batteries. By testing their algorithms on EV batteries and comparing their performance to a battery run with existing technology, Krstic, Moura and colleagues plan to formulate a strategy to charge and use batteries to their maximum potential, safely.  

Welcome back , to continue browsing the site, please click here