Latest Research in Advanced Battery Technologies Research

Top Research Topics in Advanced Battery Technologies Research

• Advanced Battery Technologies Research — 81 papers
• Systems and Control — 5 papers
• Machine Learning — 4 papers
• Data Stream Mining Techniques — 2 papers
• Fuel Cells and Related Materials — 1 papers
• Advanced Thermoelectric Materials and Devices — 1 papers
• Artificial Intelligence — 1 papers
• Signal Processing — 1 papers
• Green IT and Sustainability — 1 papers
• Methodology — 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. Meta-learning based on Hypernetworks for State of Health prediction of lithium-ion batteries under data scarcity
7. 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
8. Early-stage anomaly detection for lithium-ion batteries via dynamic safety domains and hazard potential integration
9. Modeling of non-linear dynamics and degradation characterization of lithium-ion batteries using delay-embedded dynamic mode decomposition
10. Structural evolution indicator for lithium-ion batteries deep discharge via ultrasonic inspection
11. Adaptive Conformal Prediction with Foundation Models
12. Lithium-ion battery state-of-health estimation based on health feature selection and IGWO-Transformer-GRU model
13. A lithium-ion battery thermal process modeling framework based on evolutionary-designed relevance vector machine
14. Adaptive Conformal Prediction with Foundation Models
15. Predicting the future of battery lifetime and knee point ultra-early at the formation stage
16. Battery modeling using grey box and black box data driven techniques
17. Interpretable Multi-Feature Fusion for Lithium-Ion Battery State-of-Health Prediction Using ICEEMDAN-Autoformer-BiTCN
18. Review of Lithium-Ion Battery Capacity-Based State of Health Estimation Algorithms
19. Research on a lead-acid battery fault detection method based on LSTM-AE-Cosine
20. Federated Physics-Informed Neural Networks for Privacy-Preserving Lithium-Ion Battery Degradation Prognostics Under Sparse Data Conditions