شماره ركورد كنفرانس :
5060
عنوان مقاله :
Co-Estimation of Supercapacitor States and Parameters Considering Three-Branch Equivalent Circuit Model
Author/Authors :
Farshid ، Naseri School of Electrical and Computer Engineering - Shiraz University، Shiraz, Iran , Sepehr, Karimi School of Electrical and Computer Engineering - Shiraz University، Shiraz, Iran , Ebrahim، Farjah School of Electrical and Computer Engineering - Shiraz University، Shiraz, Iran , Erik ، Schaltz Department of Energy Technology - Aalborg University، Aalborg, Denmark , Teymoor، Ghanbari School of Advanced Technologies - Shiraz University، Shiraz, Iran
كليدواژه :
Unscented Kalman Filter (UKF) , Supercapacitor , State Estimation , Condition Monitoring , Electric Vehicles (EVs)
عنوان كنفرانس :
11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC)
چكيده فارسي :
فاقد چكيده فارسي
چكيده لاتين :
In this paper, the co-estimation of the supercapacitor states and parameters using the Unscented Kalman Filter (UKF) is fulfilled. The proposed method considers the three-branch equivalent circuit model of the supercapacitor for the state estimation. The observability of the considered model is analytically confirmed using a graphical approach (GA). The proposed method provides better estimation accuracy over KF and Extended KF (EKF) algorithms since the linearization errors during the filtering process are avoided. In addition, the correlations between the states and parameters are taken into account during the estimation process, which further improves the state estimation accuracy. A laboratory testbed is provided for testing the effectiveness of the proposed approach. The results demonstrate that the proposed approach can provide accurate state and parameter estimation results while it is also able to run in real-time on low-cost digital signal processors (DSPs).
