Data-driven modeling and estimation of lithium-ion battery properties

(Data Science Institute at Columbia) Two Columbia professors affiliated with the Data Science Institute are developing a machine-learning model that can more accurately estimate a Li-Ion battery's charge level. Current estimates of a battery's state of charge have error rates of five percent, whereas this team's model aims for an error rate of one percent.
Source: EurekAlert! - Biology - Category: Biology Source Type: news