An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
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1. Advancing state of health estimation for electric vehicles: Transformer-based approach leveraging real-world data;Advances in Applied Energy;2024-12
2. Advanced data-driven techniques in AI for predicting lithium-ion battery remaining useful life: a comprehensive review;Green Chemical Engineering;2024-09
3. A Comprehensive Review of Cloud-Based Lithium-Ion Battery Management Systems for Electric Vehicle Applications;IEEE Access;2024
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