FEI Zicheng (費子成)

Research Output

  1. 2024
  2. Published

    A feature fusion-based convolutional neural network for battery state-of-health estimation with mining of partial voltage curve

    Lu, Z., Fei, Z., Wang, B. & Yang, F., 1 Feb 2024, In: Energy. 288, 129690.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 3
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  3. 2023
  4. Published

    Deep learning powered rapid lifetime classification of lithium-ion batteries

    Fei, Z., Zhang, Z., Yang, F. & Tsui, K., Oct 2023, In: eTransportation. 18, 100286.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 1
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  5. Published

    A deep attention-assisted and memory-augmented temporal convolutional network based model for rapid lithium-ion battery remaining useful life predictions with limited data

    Fei, Z., Zhang, Z., Yang, F. & Tsui, K., Jun 2023, In: Journal of Energy Storage. 62, 106903.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 14
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  6. Online published

    Deep Learning Powered Online Battery Health Estimation Considering Multi-timescale Ageing Dynamics and Partial Charging Information

    Fei, Z., Zhang, Z. & Tsui, K., 5 Apr 2023, (Online published) In: IEEE Transactions on Transportation Electrification.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 5
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  7. 2022
  8. Published

    Early-stage lifetime prediction for lithium-ion batteries: A deep learning framework jointly considering machine-learned and handcrafted data features

    Fei, Z., Zhang, Z., Yang, F., Tsui, K. & Li, L., 15 Aug 2022, In: Journal of Energy Storage. 52, B, 104936.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 13
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  9. 2021
  10. Published

    Early prediction of battery lifetime via a machine learning based framework

    Fei, Z., Yang, F., Tsui, K., Li, L. & Zhang, Z., 15 Jun 2021, In: Energy. 225, 120205.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 112
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  11. Published

    Life prediction of lithium-ion batteries based on stacked denoising autoencoders

    Xu, F., Yang, F., Fei, Z., Huang, Z. & Tsui, K., Apr 2021, In: Reliability Engineering and System Safety. 208, 107396.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 94
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