6533b7d6fe1ef96bd12659d0

RESEARCH PRODUCT

Supercapacitor diagnosis using an Extended Kalman Filtering approach

Gianpaolo VitaleFrancesco AlongeGiulio RodonoMaurizio Cirrincione

subject

SupercapacitorEngineeringOptimization problembusiness.industry020209 energy020208 electrical & electronic engineering02 engineering and technologyKalman filterCapacitanceInvariant extended Kalman filterNonlinear systemExtended Kalman filterControl theory0202 electrical engineering electronic engineering information engineeringFast Kalman filterbusiness

description

This paper deals with the model-based analysis of a Supercapacitor for diagnostic purposes. A two legs nonlinear physical model is assumed for the Supercapacitor and the corresponding second-order nonlinear state-space mathematical model is obtained. Then, an Extended Kalman Filter is tuned so that the estimated outputs reproduce the voltages at the equivalent capacitance terminals; they give information on the state of health of the supercapacitor but are not directly measurable. In particular, an optimization problem is firstly formulated, involving the experimental input-output data and those given by the Extended Kalman Filter.

yearjournalcountryeditionlanguage
2016-06-012016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)
https://doi.org/10.1109/eeeic.2016.7555592