abstract

• In this paper, the identification of the parameters of a battery model is addressed by measuring the current and voltage at the terminals of the battery and by using a moving window least square method in an online application. The battery is considered to supply a DC voltage reference to a dedicated load through a buck converter with an LC filter at the input. The converter output voltage is regulated through a conventional controller that ensures stability, sufficient damping and zero steady-state error at constant voltage references. The results of numerical simulations show that the presented scheme is capable of identifying battery parameters such as internal resistance, battery capacity and the time constant of an RC network when referring to an equivalent electric circuit model that considers the battery relaxation effect. © 2020 IEEE.

authors

• Escobar G.
• Juarez M.A.
• Langarica Córdoba Diego
• Lopez-Granados I.
• Martínez Rodríguez Pánfilo Raymundo
• Sosa J.M.
• Vazquez G.

publication date

• 2020-01-01

published in

• 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020  Proceedings

keywords

• Battery management systems; Electric batteries; Least squares approximations; Parameter estimation; Passive filters; Voltage measurement; Conventional controllers; DC-DC buck converter; Equivalent electric circuits; Identification of the parameters; Internal resistance; Least square methods; On-line applications; Zero steady state error; DC-DC converters

Digital Object Identifier (DOI)

• 10.1109/ROPEC50909.2020.9258696

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