January 01, 2018 article Open access Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach IEEE Access DOI: 10.1109/access.2018.2858856 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 435 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 One-shot battery degradation trajectory prediction with deep learning 2021 Journal of Power Sources article Engineering Advanced Battery Technologies Research Open access cited by 2 patents 234 citations Modeling long-term capacity degradation of lithium-ion batteries 2020 Journal of Energy Storage article Engineering Advanced Battery Technologies Research Open access 54 citations Online capacity estimation of lithium-ion batteries with deep long short-term memory networks 2020 Journal of Power Sources article Engineering Advanced Battery Technologies Research Open access 366 citations 3 results Cited by imported patents 1 (EPO, DOI in their cited literature) METHOD FOR DETERMINING AT LEAST ONE CHARACTERISTIC VALUE OF A BATTERY CELL 2022 EP4196806A1 +1 publications granted Physics 2 offices References 0