Renato‘s research on “Accurate State-of-Charge Prediction of Li-ion Batteries”, was awarded 1st place at Temple University’s Graduate Research Poster Competition, on February 21th, 2024.
Research Topic
Data-driven Discovery of Governing Equations of Li-ion Batteries Pertaining State of Charge
Publications
- Rodriguez, R., Ahmadzadeh, O., Wang, Y., & Soudbakhsh, D. “Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics.” ASME. J. Dyn. Sys., Meas., Control. January 2024; 146(1): 011101. https://doi.org/10.1115/1.4064026.
- Rodriguez, R., Ahmadzadeh, O., Wang, Y., & Soudbakhsh, D. (2023, May). Discovering governing equations of li-ion batteries pertaining state of charge using input-output data. In 2023 American Control Conference (ACC) (pp. 3081-3086), IEEE, https://doi.org/10.23919/ACC55779.2023.10156114.
- Ahmadzadeh, O., Rodriguez, R., Wang, Y., & Soudbakhsh, D. (2023, May). A physics-inspired machine learning nonlinear model of li-ion batteries. In 2023 American Control Conference (ACC) (pp. 3087-3092). IEEE, https://doi.org/10.23919/ACC55779.2023.10156368.
- Ahmadzadeh, O., Rodriguez, R., and Soudbakhsh, D. “Modelling of Li-ion Batteries for Real-Time Analysis: A Data-Driven Approach”, American Control Conference, 2022, https://doi.org/10.23919/ACC53348.2022.9867616
