An Enhanced Equivalent Circuit Model of Vanadium Redox Flow Battery Energy Storage Systems Considering Thermal Effects
Journal article, 2019

Thermal issue is one of the major concerns for safe, reliable, and efficient operation of the vanadium redox flow battery (VRB) energy storage systems. During the design of the operational strategy for a grid-connected VRB system, a suitable mathematical model is needed to predict the dynamic behaviors under various operating conditions. However, conventional VRB models usually neglect the impact of temperature variations on system performance. This work develops an enhanced VRB model with the consideration of the coupling effects between the electrochemical and the thermal behaviors. The proposed model consists of two equivalent circuits. First, the electrochemical behaviors of the VRB are modeled by a second-order RC network taking account of the effects of concentration variation of the vanadium ions and the electrochemical activation. Second, a third-order Cauer network is used to model the heat transfer process in the VRB system, and the dynamic thermal behaviors of stacks, pipes and heat exchangers are characterized. Well-designed experiments and particle swarm optimization algorithm are use to identify the parametric values of the developed model. The proposed modeling method was validated experimentally using a 5kW/3kWh VRB platform, and the results show that the model is capable of accurately predicting the VRB performance under variable temperature conditions. The developed coupled electro-thermal model is then used for simulating and analyzing the performance of a VRB system operated in conjunction with a wind power plant under real-world conditions.

coupled electro-thermal model

Vanadium redox ow battery

thermal model

battery energy storage systems

Cauer network

Author

Binyu Xiong

Wuhan University of Technology

Yesen Yang

Wuhan University of Technology

Jinrui Tang

Wuhan University of Technology

Yang Li

Wuhan University of Technology

Zhongbao Wei

Beijing Institute of Technology

Yixin Su

Wuhan University of Technology

Qingyong Zhang

Wuhan University of Technology

IEEE Access

2169-3536 (ISSN) 21693536 (eISSN)

Vol. 7 162297-162308

Driving Forces

Sustainable development

Subject Categories

Energy Engineering

Computer Systems

Areas of Advance

Energy

DOI

10.1109/ACCESS.2019.2952212

More information

Latest update

8/20/2023