The invention relates to the technical field of
energy storage of iron-
chromium flow batteries, and provides an online monitoring method for aging of a negative
electrode of an iron-
chromium flow battery. The method comprises the following steps: designing a special negative
electrode storage tank system to regularly collect trace
electrolyte, detecting the content of
chromium complex ions Cr (H2O) 6-nCln (3-n) + (n = 0-3) through an
ultraviolet spectrum, and associating cycle times to construct an aging
mathematical model to form an off-line monitoring
database, thereby establishing an off-line monitoring mechanism; the method comprises the following steps: establishing a special online spectrum detection experiment platform, collecting
chromium complex ion spectrum data in real time, analyzing a
chromium complex ion evolution rule in a charging and discharging stage and a circulating process, analyzing a dynamic behavior and a
reaction mechanism of a negative
electrode chromium complex ion, and establishing a battery aging online monitoring mechanism; and based on the off-line detection result and a special experimental platform, performing
correlation analysis on the chromium complex ion concentration distribution trend, the chromium complex ion concentration attenuation trend and the chromium complex
ion formation mechanism, and quantitatively predicting the aging time point of the battery. According to the method, offline structure-activity relationship modeling and an online
spectrum analysis technology are innovatively combined, the time
hysteresis limitation of traditional offline detection is broken through, and in-situ, real-time and nondestructive monitoring of the iron-chromium
flow battery negative electrode aging process is realized. Meanwhile, regeneration intervention on the iron-chromium
flow battery at the most appropriate time point can be effectively guided, so that the
electrolyte utilization rate is maximized, the service life of the
system is prolonged, and the operation and maintenance economy is optimized.