TY - GEN
T1 - Electrical Equivalent Model of Vanadium Redox Flow Battery
AU - Challapuram, Yaswanth Reddy
AU - Quintero, Gina Muñoz
AU - Bayne, Stephen B.
AU - Subburaj, Anitha Sarah
AU - Harral, Mark A.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - Grid-scale energy storage systems have become popular for the growth of hybrid renewable power systems. Due to design flexibility, low manufacturing costs for large scale, indefinite lifetime and recyclable electrolytes Vanadium redox flow batteries (VRFBs) are a promising energy storage technology. In this paper, an electrical equivalent model of VRFB which is present in Distributed Asset Research Testing (DART) facility in Texas is proposed. The VRFB is connected to a 3.6kW resistive load. The effect of flow rate and pump power losses has been considered in modeling the VRFB. A control method for State of Charge (SOC) estimation is also proposed as it plays an important role in over-charge/ discharge of VRFB. The entire work is simulated in Matlab/Simulink environment and the results obtained prove the efficient operation of VRFB.
AB - Grid-scale energy storage systems have become popular for the growth of hybrid renewable power systems. Due to design flexibility, low manufacturing costs for large scale, indefinite lifetime and recyclable electrolytes Vanadium redox flow batteries (VRFBs) are a promising energy storage technology. In this paper, an electrical equivalent model of VRFB which is present in Distributed Asset Research Testing (DART) facility in Texas is proposed. The VRFB is connected to a 3.6kW resistive load. The effect of flow rate and pump power losses has been considered in modeling the VRFB. A control method for State of Charge (SOC) estimation is also proposed as it plays an important role in over-charge/ discharge of VRFB. The entire work is simulated in Matlab/Simulink environment and the results obtained prove the efficient operation of VRFB.
KW - Electrical equivalent circuit
KW - State of Charge
KW - Vanadium redox flow battery
KW - battery modeling
KW - flow rate
UR - http://www.scopus.com/inward/record.url?scp=85069893656&partnerID=8YFLogxK
U2 - 10.1109/GreenTech.2019.8767145
DO - 10.1109/GreenTech.2019.8767145
M3 - Conference contribution
AN - SCOPUS:85069893656
T3 - IEEE Green Technologies Conference
BT - 2019 IEEE Green Technologies Conference, GreenTech 2019
PB - IEEE Computer Society
T2 - 2019 IEEE Green Technologies Conference, GreenTech 2019
Y2 - 3 April 2019 through 6 April 2019
ER -