September 03, 2024 article Open access Advanced data-driven techniques in AI for predicting lithium-ion battery remaining useful life: a comprehensive review Green Chemical Engineering DOI: 10.1016/j.gce.2024.09.001 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 69 References 2 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 Integrating mechanism and machine learning based capacity estimation for LiFePO4 batteries under slight overcharge cycling 2024 Energy article Engineering Advanced Battery Technologies Research Open access 68 citations A multi-scale learning approach for remaining useful life prediction of lithium-ion batteries based on variational mode decomposition and Monte Carlo sampling 2023 Energy article Engineering Advanced Battery Technologies Research Open access 58 citations 2 results