仅表示这篇论文与本数据集在文献网络中相邻, 不代表该论文确实使用了本数据集。

• ANALYSIS OF OPEN LI-ION BATTERY TESTING DATASETS FOR DEGRADATION MODELING AND LIFECYCLE MANAGEMENT 2026 · 综述收录
• Semi-supervised learning with physicochemical health indicators using an Encoder-Gaussian process framework for battery state of health estimation under dynamic discharge conditions 2026 · 用于方法验证
• Interpretable Battery SOH Prediction: A Comparative Interpretability Framework for Multi-Architecture ML Models 2026 · 使用该数据集
• Intelligent prediction of the remaining useful life of lithium-ion batteries based on a CGHF-MDH-Mamba model 2026 · 用于方法验证
• Hybrid physics-informed machine learning framework for calibration-free degradation prediction of lithium-ion batteries 2026 · 候选引用(未核验)
• SSA(BBO)-optimized neural networks for remaining useful life estimation and health monitoring of lithium-ion batteries 2026 · 候选引用(未核验)
• A multi-stage modelling framework for accurate early-life SoH and EOL prediction 2026 · 候选引用(未核验)
• Semi-Supervised Learning with Physicochemical Health Indicators Using an Encoder–Gaussian Process Framework for Battery State of Health Estimation Under Dynamic Discharge Conditions 2026 · 候选引用(未核验)
• Degradation-Aware Federated Learning for Second-Life EV Batteries in Autonomous Nanogrids 2026 · 候选引用(未核验)
• Picid: A Modular Evaluation Infrastructure for Reproducible PHM Across Tasks and Domains 2026 · 候选引用(未核验)
• Towards Unified and Data-Efficient Prognostics and Health Management with Tabular Foundation Models 2026 · 候选引用(未核验)
• Boosting battery health prediction in electric vehicles via extended quantum optimized model with gaussian process regression 2025 · 用于方法验证
• Artificial Intelligence Applications in Battery Management Systems for Electric Vehicles 2025 · 用于方法验证
• High-Fidelity SOH Prediction in Lithium-Ion Batteries Using Hybrid ML Networks 2025 · 用于方法验证
• Lithium-ion battery RUL prediction based on optimized VMD-SSA-PatchTST algorithm 2025 · 候选引用(未核验)
• DegradAI: A scalable framework for early battery health diagnosis from limited data 2025 · 候选引用(未核验)
• Novel Taxonomy and Approaches for the Identification of Frequently Occurring Regularities in Degradation Processes of Engineering Systems 2025 · 候选引用(未核验)
• Battery Modeling with Mittag-Leffler Function 2024 · 用于方法验证
• Semi-supervised deep learning for lithium-ion battery state-of-health estimation using dynamic discharge profiles 2024 · 候选引用(未核验)
• Dimensionality reduced deep learning-based state of health estimation of Lithium-Ion batteries using standard dataset 2024 · 候选引用(未核验)

仅列前 20 篇(首发/综述优先,按年份倒序);全量见 API。