June 07, 2023 article Open access Boosting battery state of health estimation based on self-supervised learning Journal of Energy Chemistry DOI: 10.1016/j.jechem.2023.05.034 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 74 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Aging State Classification of Lithium-Ion Batteries in a Low-Dimensional Latent Space 2026 Batteries article Engineering Advanced Battery Technologies Research Open access 0 citations Unlocking the potential of unlabeled data: Self-supervised machine learning for battery aging diagnosis with real-world field data 2024 Journal of Energy Chemistry article Engineering Advanced Battery Technologies Research Open access 32 citations State-of-health estimation for fast-charging lithium-ion batteries based on a short charge curve using graph convolutional and long short-term memory networks 2024 Journal of Energy Chemistry article Engineering Advanced Battery Technologies Research cited by 2 patents 71 citations Transferable data-driven capacity estimation for lithium-ion batteries with deep learning: A case study from laboratory to field applications 2023 Applied Energy article Engineering Advanced Battery Technologies Research 57 citations 4 results References 0