用于钒液流电池精确实时监测的低成本光学多波长传感器

Advanced Sensor and Energy Materials Pub Date : 2026-03-01 Epub Date: 2026-02-05 DOI:10.1016/j.asems.2026.100183
Ange A. Maurice, Pablo A. Prieto-Díaz, Marcos Vera
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引用次数: 0

摘要

我们提出了一种新型的低成本光学传感器,用于精确实时监测钒液流电池的充电状态(SoC)和总钒浓度。该传感器仅使用6个离散波长,可实现与全光谱方法相当的精度,同时显着降低设备成本和复杂性。采用一般反卷积法测量无矿质和溶出液中SoC和总钒浓度,校准浓度范围为1.21 ~ 1.82 mol/L。我们获得的SoC的均方根误差(RMSE)值分别为1.2%和3.2%,未溶物和posolyte中总钒浓度分别为54 mmol/L和97 mmol/L,与参考紫外可见(UV-vis)数据具有良好的一致性。此外,提出了波长优化研究,以确定光谱通道的最佳数量和位置,为钒电解质光学传感器的定制设计提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-cost optical multi-wavelength sensor for accurate real-time state-of-charge monitoring in vanadium flow batteries
We present a novel, low-cost optical sensor for accurate real-time monitoring of the state of charge (SoC) and total vanadium concentration in vanadium flow batteries. Using only six discrete wavelengths, the sensor achieves precision comparable to full-spectrum methods while significantly reducing equipment costs and complexity. A general deconvolution method is used to measure the SoC and the total vanadium concentration in both the negolyte and posolyte, with calibration covering concentrations from 1.21 to 1.82 mol/L. We achieve root mean square error (RMSE) values of 1.2% and 3.2% for the SoC, and 54 mmol/L and 97 mmol/L for the total vanadium concentration in the negolyte and posolyte, respectively, demonstrating excellent agreement with reference ultraviolet visible (UV-vis) data. In addition, a wavelength optimization study is proposed to determine the optimal number and placement of spectral channels, providing a basis for the design of tailored optical sensors for vanadium electrolytes.
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