Progress and challenges in ultrasonic technology for state estimation and defect detection of lithium-ion batteries
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
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1. Enhanced vision-transformer integrating with semi-supervised transfer learning for state of health and remaining useful life estimation of lithium-ion batteries;Energy and AI;2024-09
2. A Review of Non-Destructive Testing for Lithium Batteries;Energies;2024-08-14
3. A hybrid algorithm for the state of energy estimation of lithium-ion batteries based on improved adaptive-forgotten-factor recursive least squares and particle swarm optimized unscented particle filtering;Ionics;2024-07-20
4. A review on health estimation techniques of end-of-first-use lithium-ion batteries for supporting circular battery production;Journal of Energy Storage;2024-07
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