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41 results on '"state of health estimation"'

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3. Machine learning enables rapid state of health estimation of each cell within battery pack.

4. Refined lithium-ion battery state of health estimation with charging segment adjustment.

5. State of health estimation for lithium-ion batteries based on incremental capacity analysis and Transformer modeling.

6. State of health estimation for lithium-ion batteries using impedance-based simplified timescale information.

7. State of health estimation of lithium-ion batteries based on feature optimization and data-driven models.

8. Enhanced multi-constraint dung beetle optimization-kernel extreme learning machine for lithium-ion battery state of health estimation with adaptive enhancement ability.

9. An adaptive semi-supervised self-learning method for online state of health estimation of lithium-ion batteries.

10. Comparison of techniques based on frequency response analysis for state of health estimation in lithium-ion batteries.

11. State of Health (SoH) estimation methods for second life lithium-ion battery—Review and challenges.

12. A charging-feature-based estimation model for state of health of lithium-ion batteries.

13. State-of-health estimation for lithium-ion battery via an evolutionary Stacking ensemble learning paradigm of random vector functional link and active-state-tracking long–short-term memory neural network.

14. Critical summary and perspectives on state-of-health of lithium-ion battery.

15. Lithium-ion battery state-of-health estimation in electric vehicle using optimized partial charging voltage profiles.

16. A novel data-model fusion state-of-health estimation approach for lithium-ion batteries.

17. Predicting the discharge capacity of a lithium-ion battery after nail puncture using a Gaussian process regression with incremental capacity analysis.

18. State of health estimation of lithium-ion batteries based on modified flower pollination algorithm-temporal convolutional network.

19. A novel battery health indicator and PSO-LSSVR for LiFePO4 battery SOH estimation during constant current charging.

20. State of health estimation of lithium-ion batteries based on fine-tuning or rebuilding transfer learning strategies combined with new features mining.

21. A fast estimation algorithm for lithium-ion battery state of health.

22. Adaptive sliding mode observers for lithium-ion battery state estimation based on parameters identified online.

23. State of health estimation for lithium-ion batteries on few-shot learning.

24. State of health estimation of lithium-ion battery with automatic feature extraction and self-attention learning mechanism.

25. A Study of Cell-to-Cell Interactions and Degradation in Parallel Strings: Implications for the Battery Management System.

26. Integration of sampling based battery state of health estimation method in electric vehicles.

27. Online state of health estimation on NMC cells based on predictive analytics.

28. State of health estimation algorithm of LiFePO4 battery packs based on differential voltage curves for battery management system application.

29. Critical review of state of health estimation methods of Li-ion batteries for real applications.

30. State of health estimation of lithium-ion batteries with a temporal convolutional neural network using partial load profiles.

32. State of health estimation in composite electrode lithium-ion cells.

33. Sampling based State of Health estimation methodology for Li-ion batteries.

34. A comprehensively optimized lithium-ion battery state-of-health estimator based on Local Coulomb Counting Curve.

35. Novel informed deep learning-based prognostics framework for on-board health monitoring of lithium-ion batteries.

36. Model based identification of aging parameters in lithium ion batteries

37. A review on the state of health estimation methods of lead-acid batteries.

38. A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries.

39. A hybrid prognostic strategy with unscented particle filter and optimized multiple kernel relevance vector machine for lithium-ion battery.

40. State-of-health estimation of lithium-ion batteries based on semi-supervised transfer component analysis.

41. An optimized ensemble learning framework for lithium-ion Battery State of Health estimation in energy storage system.