Online Parameter Identification of Ultracapacitor Models Using the Extended Kalman Filter
AbstractUltracapacitors (UCs) are the focus of increasing attention in electric vehicle and renewable energy system applications due to their excellent performance in terms of power density, efficiency, and lifespan. Modeling and parameterization of UCs play an important role in model-based regulation and management for a reliable and safe operation. In this paper, an equivalent circuit model template composed of a bulk capacitor, a second-order capacitance-resistance network, and a series resistance, is employed to represent the dynamics of UCs. The extended Kalman Filter is then used to recursively estimate the model parameters in the Dynamic Stress Test (DST) on a specially established test rig. The DST loading profile is able to emulate the practical power sinking and sourcing of UCs in electric vehicles. In order to examine the accuracy of the identified model, a Hybrid Pulse Power Characterization test is carried out. The validation result demonstrates that the recursively calibrated model can precisely delineate the dynamic voltage behavior of UCs under the discrepant loading condition, and the online identification approach is thus capable of extracting the model parameters in a credible and robust manner. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Zhang, L.; Wang, Z.; Sun, F.; Dorrell, D.G. Online Parameter Identification of Ultracapacitor Models Using the Extended Kalman Filter. Energies 2014, 7, 3204-3217.
Zhang L, Wang Z, Sun F, Dorrell DG. Online Parameter Identification of Ultracapacitor Models Using the Extended Kalman Filter. Energies. 2014; 7(5):3204-3217.Chicago/Turabian Style
Zhang, Lei; Wang, Zhenpo; Sun, Fengchun; Dorrell, David G. 2014. "Online Parameter Identification of Ultracapacitor Models Using the Extended Kalman Filter." Energies 7, no. 5: 3204-3217.