Adaptive Models for Improved Battery Charging Systems / Adaptivni modeli za poboljšane sisteme punjenja baterija

Energija, ekonomija, ekologija, 2, XXVI (2024) (стр 1- 9)
 

АУТОР(И) / AUTHOR(S): Danijel PAVKOVIĆ, Sandra STANKOVIĆ, Karlo KVATERNIK, Nikolina SITAR, Mihael CIPEK

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DOI: 10.46793/EEE24-2.01P

САЖЕТАК / ABSTRACT:

During its operation, sometimes it is a needed to swiftly replenish the battery from a partially depleted state, while strictly adhering to its technological limitations such as the battery terminal voltage and rated continuous charging current. To achieve this goal, this contribution outlines the dynamic battery recharging system, utilizing feedback provided by the nonlinear estimator of the battery state-of-charge (SoC) or SoC-related open-circuit-voltage (OCV). In the former case, the estimator is realized as an extended Kalman filter (EKF), while in the latter case it is implemented using the methodology of a System Reference Adaptive Model (SRAM), whose design is based on the Lyapunov stability theory. Thus-obtained innovative adaptive battery chargers are compared against the conventional constant-current/constant-voltage (CCCV) charging system, which relies solely on battery voltage feedback. A comprehensive comparative analysis is conducted through extensive simulations utilizing the nonlinear equivalent circuit model of the lithium titanate battery (LTO) cell.

КЉУЧНЕ РЕЧИ / KEYWORDS:

Battery charging, State-of-charge, Nonlinear estimators, Extended Kalman filter (EKF), System Reference Adaptive Model (SRAM)

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