Modeling of Li-ion batteries for real-time analysis and control: A data-driven approach
Author:
Affiliation:
1. Temple University,Dynamical Systems Lab (DSLab),Department of Mechanical Engineering,Philadelphia,PA,USA
Funder
Office of Naval Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867616.pdf?arnumber=9867616
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2. A data-driven framework for learning governing equations of Li-ion batteries and co-estimating voltage and state-of-charge;Journal of Energy Storage;2024-04
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4. Effect of Temperature and SOC on Frequency-Response Modeling of Li-ion Batteries;2023 IEEE Conference on Control Technology and Applications (CCTA);2023-08-16
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