Discussion of the Performance of VRB Based on Modeling by Using EKF to Estimate SOC

There are several ongoing researchers on searching for an appropriate model to describe the characteristic of Vanadium redox flow batteries(VRB) .Based on one of these models, a SOC estimator of VRB- Extended Kalman Filter (EKF) is advanced. And then, update the VRB model by using EKF to estimate SOC when simulation in SIMULINK. At last, the effects of the temperature and operating current on performance of VRB, including battery capacity, output voltage, efficiencies are discussed.

[1]  G. Joos,et al.  VRB Modelling for the Study of Output Terminal Voltages, Internal Losses and Performance , 2007, 2007 IEEE Canada Electrical Power Conference.

[2]  Chen Li-quan.  Effects of temperature on the performance of vanadium redox flow battery , 2009 .

[3]  Gyo-Bum Chung,et al.  SOC estimation of LiPB batteries using Extended Kalman Filter based on high accuracy electrical model , 2011, 8th International Conference on Power Electronics - ECCE Asia.

[4]  Akira Shibata,et al.  Development of vanadium redox flow battery for electricity storage , 1999 .

[5]  T. P. Robbins,et al.  A field trial of a Vanadium Energy Storage System , 2001 .

[6]  Guangjun Liu,et al.  A battery State of Charge estimation method with extended Kalman filter , 2008, 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[7]  T. Funaki,et al.  A Study of Output Terminal Voltage Modeling for Redox Flow Battery Based on Charge and Discharge Experiments , 2007, 2007 Power Conversion Conference - Nagoya.

[8]  R. Teodorescu,et al.  Stand-alone wind system with Vanadium Redox Battery energy storage , 2008, 2008 11th International Conference on Optimization of Electrical and Electronic Equipment.