Model-Based Condition Monitoring of a Vanadium Redox Flow Battery

Energies

Binyu Xiong¹  TutiMariana Lim²  Shujuan Meng³ 

[1] School of Automation, Wuhan University of Technology, Wuhan 430072, China;School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore;School of Space and Environment, Beihang University, Beijing 100191, China;

关键词: state of charge;    capacity decay;    parameter identification;    condition monitoring;    vanadium redox flow battery;   

DOI  :  10.3390/en12153005

来源: DOAJ

【 摘 要 】

The safe, efficient and durable utilization of a vanadium redox flow battery (VRB) requires accurate monitoring of its state of charge (SOC) and capacity decay. This paper focuses on the unbiased model parameter identification and model-based monitoring of both the SOC and capacity decay of a VRB. Specifically, a first-order resistor-capacitance (RC) model was used to simulate the dynamics of the VRB. A recursive total least squares (RTLS) method was exploited to attenuate the impact of external disturbances and accurately track the change of model parameters in realtime. The RTLS-based identification method was further integrated with an H-infinity filter (HIF)-based state estimator to monitor the SOC and capacity decay of the VRB in real-time. Experiments were carried out to validate the proposed method. The results suggested that the proposed method can achieve unbiased model parameter identification when unexpected noises corrupt the current and voltage measurements. SOC and capacity decay can also be estimated accurately in real-time without requiring additional open-circuit cells.

【 授权许可】

Unknown