Online battery state of health estimation based on Genetic Algorithm for electric and hybrid vehicle applications

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Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis (2018, methodology): “[33] developed a formula to determine the battery capacity based on the estimated diffusion capacitance.”
State-of-Health Estimation Based on Differential Temperature for Lithium Ion Batteries (2020, background): “Ohmic resistance [7], polarization resistance [8], polarization capacitance [9], solid-state diffusion coefficient [10], and OCV [11] have been identified from dynamic discharging profiles to estimate SOH.”
Lithium Battery State-of-Health Estimation via Differential Thermal Voltammetry With Gaussian Process Regression (2021, unknown): “[20] proposed a genetic algorithm (GA) to identify battery parameters under”
An Online SOC and SOH Estimation Model for Lithium-Ion Batteries (2017, methodology): “, KF, EKF [16–18], genetic algorithm (GA) [25], particle filter [26], fuzzy logic [21], artificial neural networks (ANNs) [27], and the least-squares method (LSM) [28].”