The invention discloses a DFV
algorithm identification method and
system for
battery cell leakage characteristics, and relates to the technical field of an
electrochemical energy storage system battery
management system, and the method comprises the steps: carrying out the data preprocessing of a relaxation
voltage signal of a
battery cell, and obtaining a complex
frequency domain impedance spectrum; defining a corresponding
time constant set, and constructing a complex
frequency domain response matrix; and optimizing a target function in the DFV
algorithm. According to the method, more accurate results are obtained for different liquid leakage forms and early-stage liquid leakage detection through the liquid leakage characteristics identified by the method, the calculation complexity of the
algorithm is low, the DFV algorithm is operated on the preprocessed data to realize rapid liquid leakage characteristics, and the algorithm can realize rapid liquid leakage detection through fusion of time-
frequency domain signal processing and relaxation
time distribution modeling. The problems that in a traditional liquid leakage detection method, sensor
data dependence is high, the physical mechanism is not clear, and
weak signal recognition sensitivity is low are solved, and accurate extraction and efficient diagnosis of early characteristics of
battery cell liquid leakage are achieved.