October 28, 2024 article Physics-based parameter identification of an electrochemical model for lithium-ion batteries with two-population optimization method Applied Energy DOI: 10.1016/j.apenergy.2024.124748 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 61 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 Rapid and robust parameter estimation for electrochemical battery models via BOLT: A batch-optimized local-to-global technique 2026 Applied Energy article Engineering Advanced Battery Technologies Research Open access 1 citations Enhancing state of charge estimation of lithium-ion batteries via unlabeled data and self-supervised deep learning 2026 SSRN Electronic Journal preprint Engineering Advanced Battery Technologies Research Open access 0 citations Optimizing parameter estimation for electrochemical battery model: A comparative analysis of operating profiles on computational efficiency and accuracy 2025 Journal of Power Sources article Engineering Advanced Battery Technologies Research Open access 3 citations 3 results 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 Data-driven systematic parameter identification of an electrochemical model for lithium-ion batteries with artificial intelligence 2021 Energy storage materials article Engineering Advanced Battery Technologies Research Open access cited by 2 patents 210 citations Unlocking electrochemical model-based online power prediction for lithium-ion batteries via Gaussian process regression 2021 Applied Energy article Engineering Advanced Battery Technologies Research cited by 2 patents 76 citations 2 results