A hybrid analytical and numerical model for cross-over and performance decay in a unit cell vanadium redox flow battery

被引:11
作者
Chen, Yunxiang [1 ]
Bao, Jie [2 ]
Xu, Zhijie [1 ]
Gao, Peiyuan [1 ]
Yan, Litao [2 ]
Kim, Soowhan [2 ]
Wang, Wei [2 ]
机构
[1] Pacific Northwest Natl Lab, Phys & Computat Sci Directorate, Richland, WA 99354 USA
[2] Pacific Northwest Natl Lab, Energy & Environm Directorate, Richland, WA 99354 USA
关键词
Redox flow battery; Cross-over; Performance decay; Partition coefficients; Migration and convection; PERFLUOROSULFONIC ACID MEMBRANES; ION CROSSOVER; CAPACITY LOSS; DYNAMIC-MODEL; TRANSPORT; DIFFUSION; TRANSIENT; NAFION(R);
D O I
10.1016/j.jpowsour.2023.233210
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Developing an accurate and efficient model for cross-over is critical for improving the long-term performance of redox flow batteries (RFBs). This work presents a hybrid analytical and numerical model that combines a two-dimensional analytical solution to the active species, a one-dimensional analytical model for cross-over mechanisms, and a zero-dimensional numerical model for outlet concentrations of reactants. By comparing with experiment over 41 cycles (ca. 144 h), the model reported a mean voltage difference of 0.0089 V, mean time difference of 14 s per cycle (of 3.5 h), maximum relative difference for capacity and energy of 1.34% and 1.63%, respectively. The predicted mean concentrations for V2+, V3+, and VO+2 in membrane are 65% & SIM; 77% of measured values from the literature. Upon validation, the model reproduced behaviors in electrolyte imbalance similar to those observed in experiments and numerical models, and revealed the control of cross-over, self-discharge, stoichiometry of side reactions, and Coulombic efficiency on electrolyte imbalance. The model also demonstrates excellent computational efficiency for simulating 41 cycles (around 37,000 points) within 3 & SIM; 4 s. The demonstrated efficiency and accuracy for predicting cross-over and its impacts on voltage, capacity & energy decay, membrane concentrations, and electrolyte imbalance makes it a reliable tool for optimizing RFBs' long-term performance.
引用
收藏
页数:12
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