State of Health Estimation and Prediction for Lithium-ion Batteries Based on Transfer Learning

Search results

• 2024

  Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection

  Che, Y., Zheng, Y., Forest, F. E., Sui, X., Hu, X. & Teodorescu, R., Jan 2024, In: Reliability Engineering and System Safety. 241, 109603.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File

  • Lithium-Ion Batteries 100%
  • Battery (Electrochemical Energy Engineering) 100%
  • Neural Network 100%
  • Long Short-Term Memory 100%
  • Lithium Ion Battery 100%

  72   Link opens in a new tab Citations (Scopus)

  154 Downloads (Pure)

• 2023

  Battery health prognostic with sensor-free differential temperature voltammetry reconstruction and capacity estimation based on multi-domain adaptation

  Che, Y., Vilsen, S. B., Meng, J., Sui, X. & Teodorescu, R., Jul 2023, In: eTransportation. 17, 100245.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File

  • State of Health 100%
  • Battery (Electrochemical Energy Engineering) 100%
  • Temperature Curve 100%
  • Differential Temperature 100%
  • Multi-domain Adaptation 100%

  47   Link opens in a new tab Citations (Scopus)

  191 Downloads (Pure)

• Battery States Monitoring for Electric Vehicles Based on Transferred Multi-Task Learning

  Che, Y., Zheng, Y., Wu, Y., Lin, X., Li, J., Hu, X. & Teodorescu, R., 1 Aug 2023, In: IEEE Transactions on Vehicular Technology. 72, 8, p. 10037-10047 11 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Neural Network 100%
  • Internal Variable 33%
  • Future Temperature 33%

  38   Link opens in a new tab Citations (Scopus)

• Boosting battery state of health estimation based on self-supervised learning

  Che, Y., Zheng, Y., Sui, X. & Teodorescu, R., Sept 2023, In: Journal of Energy Chemistry. 84, p. 335-346 12 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File

  • Supervised Learning 100%
  • Learning System 50%
  • Unsupervised Learning 50%
  • Downstream State 20%
  • Sparsely Labeled Data 20%

  56   Link opens in a new tab Citations (Scopus)

  246 Downloads (Pure)

• Semi-supervised self-learning-based lifetime prediction for batteries

  Che, Y., Stroe, D. I., Hu, X. & Teodorescu, R., 1 May 2023, In: IEEE Transactions on Industrial Informatics. 19, 5, p. 6471-6481 11 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Battery (Electrochemical Energy Engineering) 100%
  • Relative Error 33%
  • Mean Lifetime 25%
  • Uncertainty Expression 25%
  • Degradation Prediction 25%

  76   Link opens in a new tab Citations (Scopus)

• 2022

  Data efficient health prognostic for batteries based on sequential information-driven probabilistic neural network

  Che, Y., Zheng, Y., Wu, Y., Sui, X., Bharadwaj, P., Stroe, D.-I., Yang, Y., Hu, X. & Teodorescu, R., Oct 2022, In: Applied Energy. 323, 119663.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File

  • Sequential Information 100%
  • Probabilistic Neural Network 100%
  • Battery (Electrochemical Energy Engineering) 100%
  • Neural Network 100%
  • Long Short-Term Memory 100%

  96   Link opens in a new tab Citations (Scopus)

  447 Downloads (Pure)