Latest Research in Battery Health Prognostic Frameworks

Top Research Topics in Battery Health Prognostic Frameworks

• Advanced Battery Technologies Research — 119 papers
• Systems and Control — 7 papers
• Machine Learning — 6 papers
• Data Stream Mining Techniques — 2 papers
• Green IT and Sustainability — 2 papers
• Fuel Cells and Related Materials — 1 papers
• Advanced Thermoelectric Materials and Devices — 1 papers
• Artificial Intelligence — 1 papers
• Computational Engineering, Finance, and Science — 1 papers
• Formal Languages and Automata Theory — 1 papers

Highest-Cited Papers

1. A closed-loop state of charge estimation of lithium-ion batteries by integrating deep learning and adaptive Kalman filter
2. An Interactive Remaining Useful Life Estimation Method for Lithium-Ion Batteries Based on Composite Performance Index and Nonlinear Wiener Process
3. An improved iTransformer framework for health prediction of proton exchange membrane fuel cells
4. Reproducibility of battery state of health estimation using short discharge tests across independent experimental platforms
5. Chance-constrained model predictive control with online gaussian process learning reduces battery degradation in vehicle-to-grid service
6. Early-cycle life prediction of mechanically damaged lithium-ion batteries via multi-physics features and machine learning
7. Meta-learning based on Hypernetworks for State of Health prediction of lithium-ion batteries under data scarcity
8. State-of-charge estimation of lithium-ion battery: A fusion model combining unidirectional and bidirectional long short-term memory networks and multi-head attention mechanism
9. Early-stage anomaly detection for lithium-ion batteries via dynamic safety domains and hazard potential integration
10. Modeling of non-linear dynamics and degradation characterization of lithium-ion batteries using delay-embedded dynamic mode decomposition
11. Structural evolution indicator for lithium-ion batteries deep discharge via ultrasonic inspection
12. Adaptive Conformal Prediction with Foundation Models
13. Lithium-ion battery state-of-health estimation based on health feature selection and IGWO-Transformer-GRU model
14. A lithium-ion battery thermal process modeling framework based on evolutionary-designed relevance vector machine
15. Adaptive Conformal Prediction with Foundation Models
16. Predicting the future of battery lifetime and knee point ultra-early at the formation stage
17. Battery modeling using grey box and black box data driven techniques
18. A Multi-Stage Cell Grouping Method for Retired 18650 Ternary Lithium-Ion Batteries Based on Serpentine Sorting
19. Excitation Current Generation Circuit for Electrochemical Impedance Spectroscopy Measurement Based on a Variable-Inductance Bidirectional Ćuk Converter for Wideband AC Excitation
20. Interpretable Multi-Feature Fusion for Lithium-Ion Battery State-of-Health Prediction Using ICEEMDAN-Autoformer-BiTCN

Sub-Regions

• Advanced Battery Technologies Research — 19 papers
• Fuel Cells and Related Materials — 12 papers
• Systems and Control — 11 papers
• Advanced NMR Techniques and Applications — 4 papers
• Computation and Language — 2 papers
• Advanced Battery Technologies Research — 1 papers