A machine learning technique to improve analysis and prediction of lithium-ion battery life has been developed by researchers in Scotland. Gonçalo dos Reis and colleagues at the University of Edinburgh and Heriot-Watt University, Edinburgh, U.K., report the development and application of their procedure in an article in the open access journal Energy and AI. The ability to predict the course of a battery's decline early in its life cycle could improve battery management, testing and design.
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Machine learning technique improves analysis and prediction of lithium-ion battery life
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