Optimal charging of Li-ion batteries using sparse identification of nonlinear dynamics
Optimal charging of Li-ion batteries requires careful management of charge rates, as high
rates can lead to accelerated degradation, while low rates significantly extend charging …
rates can lead to accelerated degradation, while low rates significantly extend charging …
A data-driven framework for learning governing equations of Li-ion batteries and co-estimating voltage and state-of-charge
O Ahmadzadeh, Y Wang, D Soudbakhsh - Journal of Energy Storage, 2024 - Elsevier
This paper presents a reduced-order nonlinear model for Lithium-ion batteries (LiBs). Unlike
mechanistic models, data-driven models offer accurate representations of system dynamics …
mechanistic models, data-driven models offer accurate representations of system dynamics …
Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics
R Rodriguez, O Ahmadzadeh… - Journal of …, 2024 - asmedigitalcollection.asme.org
We present a physics-inspired input/output predictor of lithium-ion batteries (LiBs) for online
state-of-charge (SOC) prediction. The complex electrochemical behavior of batteries results …
state-of-charge (SOC) prediction. The complex electrochemical behavior of batteries results …
Effect of Temperature and SOC on Frequency-Response Modeling of Li-ion Batteries
M Derakhshan, HM Shankin, LA Lohan… - … IEEE Conference on …, 2023 - ieeexplore.ieee.org
This paper investigates the choice of equivalent circuit models (ECMs) for modeling Li-ion
batteries (LiBs). ECMs with distributed elements (dECMs) are the most common tools to …
batteries (LiBs). ECMs with distributed elements (dECMs) are the most common tools to …