April 25, 2018 article Open access State estimation of lithium-ion cells using a physicochemical model based extended Kalman filter Applied Energy DOI: 10.1016/j.apenergy.2018.04.011 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 77 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 Porous Electrode Modeling and its Applications to Li‐Ion Batteries 2022 Advanced Energy Materials article Engineering Advanced Battery Technologies Research Open access 192 citations Estimation of Potentials in Lithium-Ion Batteries Using Machine Learning Models 2021 IEEE Transactions on Control Systems Technology article Engineering Advanced Battery Technologies Research 41 citations Electrochemical model-based state estimation for lithium-ion batteries with adaptive unscented Kalman filter 2020 Journal of Power Sources article Engineering Advanced Battery Technologies Research 268 citations Uncertainty-aware state estimation for electrochemical model-based fast charging control of lithium-ion batteries 2020 Journal of Power Sources article Engineering Advanced Battery Technologies Research 56 citations 4 results References 0