A comparative study of equivalent circuit models for Li-ion batteries

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How researchers see this paper

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Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (2016, background): “Architecture of battery test bench [45].”
A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation (2014, positive): “A good comparison of circuit-based models for Li-ion batteries is presented by Hu et al. in [36].”
Machine learning pipeline for battery state-of-health estimation (2021, methodology): “Compared to electrochemical models, ECMs use fewer inputs, considerably reducing the number of parameters required to be learnt over time, however, they have limited accuracy and robustness due to assumptions in battery behavior [8].”
The Co-estimation of State of Charge, State of Health, and State of Function for Lithium-Ion Batteries in Electric Vehicles (2018, methodology): “The second-order RC equivalent circuit model is selected in this work because of its high accuracy and practicality [31].”