Title :
Dual Kalman filter-based SoC/SoH estimator for an ultracapacitor module
Author :
Pavkovic, Danijel ; Smetko, Viktor ; Hrgetic, Mario ; Komljenovic, Ante
Author_Institution :
Fac. of Mech. Eng. & Naval Archit., Univ. of Zagreb, Zagreb, Croatia
Abstract :
This paper presents the design of a dual adaptive Kalman-filter-based state and parameter estimator of an ultracapacitor module suitable for state-of-charge (SoC) and state-of-health (SoH) estimation purposes. A lumped-parameter resistive-capacitive (RC) electrical circuit representation has been used in the design of both estimators. In the case of state estimator a second-order disturbance model has been used for charge balancing current modeling purposes, while in the case of parameter estimator, a time series model of ultracapacitor is extended with a generalized disturbance model describing balancing current effects. The effectiveness of the dual Kalman filter-based SoC/SoH estimator has been verified by means of computer simulations and experimentally on the dedicated ultracapacitor test setup.
Keywords :
adaptive Kalman filters; lumped parameter networks; parameter estimation; supercapacitors; time series; charge balancing current modeling; dual adaptive Kalman filter-based SoC estimator; dual adaptive Kalman filter-based SoH estimator; lumped-parameter RC electrical circuit representation; lumped-parameter resistive-capacitive electrical circuit representation; second-order disturbance model; state of charge parameter estimation; state of health parameter estimation; time series model; ultracapacitor module; Capacitance; Integrated circuit modeling; Kalman filters; Mathematical model; Resistance; Supercapacitors; System-on-chip;
Conference_Titel :
Control Applications (CCA), 2014 IEEE Conference on
Conference_Location :
Juan Les Antibes
DOI :
10.1109/CCA.2014.6981571