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August 20, 2024Journal of Electrochemical Energy Conversion and Storage

State of Health Estimation for Lithium-Ion Batteries Based on Multi-Scale Frequency Feature and Time-Domain Feature Fusion Method

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Authors

YZYunji ZhaoYLYuchen Liu

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Zhao et al. (2024) studied this question.

synapsesocial.com/papers/68e5b8a1b6db64358755145chttps://doi.org/10.1115/1.4066270
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1State of Health Estimation for Lithium‐Ion Batteries via Multisource Health Feature Fusion and Transformers2026
  2. 2State of Health Estimation Method for Lithium-Ion Batteries Based on BiLSTM-Transformer and Fusion Features2025
  3. 3State of Health Estimation for Lithium-Ion Batteries Using Hybrid Signal Decomposition and Deep Feature Fusion2025
  4. 4Lithium-Ion Battery SOH Prediction Method Based on Multidimensional Feature Data Fusion2026
  5. 5State‐of‐Health Estimation of Lithium‐Ion Battery Based on Partial Charge Data and Multimodal Image Fusion2026