chemical processes may not do enough damage to affect performance, combined they can limit a battery’s performance and shorten its lifespan, which is why researchers are seeking answers to the mysteries of battery degradation, Lee said.
"Safety and reliability are the most important design criteria as we develop batteries that can pack a lot of energy in a small space," he said in a press statement. "By improving the software that monitors charging and discharging, and using data-driven software to control the charging process, I believe we can power a big improvement in battery performance."
Add-On Battery-Monitoring System
Currently, battery health is predicted by tracking the current and voltage during battery charging and discharging. However, this type of monitoring does not take into consideration the process happening within the battery, which require new ways to measure batteries while they are in action—such as algorithms that can detect subtle signals as they are charged and discharged.
The method Lee and his colleagues developed combines a monitoring system of electrical pulses and machine learning. Researchers send electrical pulses into the battery to measure its response, then use a machine-learning model to pinpoint aspects of the electrical response that show that the battery is aging, said Yunwei Zhang, another researcher at the Cavendish Laboratory who also worked on the project.
"Machine learning complements and augments physical understanding," he said in a press statement. "The interpretable signals identified by our machine learning model are a starting point for future theoretical and experimental studies."
Researchers published a paper on their findings in the journal Nature Communications.
The team performed more than 20,000 experimental measurements to train the model, which researchers said can learn how to distinguish important signals from mere noise. Moreover, the system can be used with existing batteries as an add-on rather to measure their health, they said.
Scientists are currently using the platform they designed to gain a better understanding of degradation in different battery chemistries. They also are continuing their work to develop new battery-charging protocols with the goal of developing future batteries that can charge faster and degrade less than current designs.
Elizabeth Montalbano is a freelance writer who has written about technology and culture for more than 20 years. She has lived and worked as a professional journalist in Phoenix, San Francisco and New York City. In her free time she enjoys surfing, traveling, music, yoga and cooking. She currently resides in a village on the southwest coast of Portugal.