Tech Xplore

With machine learning, researchers embrace the atomic-scale complexity of batteries

For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...
Tech Xplore

Researchers achieve remote, autonomous power control of a research reactor in real time

For the first time, researchers from Idaho National Laboratory, the Grainger College of Engineering at the University of ...
Electronic Design

Ask the Expert: Faster Charging is Achievable through Multiphysics Simulation

EV battery fast charging is essential to making electric vehicles more competitive, but charging speed is constrained by ...
IEEE

A Federated Transfer Learning Framework for Lithium-Ion Battery State of Health Estimation Based on Fast-Charging Segments

Abstract: Accurately estimating the state of health (SOH) of lithium-ion batteries (LIBs) using limited segments of fast-charging data is essential for effective battery management in electric ...
IEEE

Enhanced Battery Capacity Estimation in Data-Limited Scenarios Through Swarm Learning

Abstract: Data-driven methods have shown potential in electric-vehicle battery management tasks such as capacity estimation, but their deployment is bottlenecked by poor performance in data-limited ...