The invention discloses a fault diagnosis and early warning method for an intelligent
thermal management system of a
power battery, and relates to the technical field of
new energy automobile
power battery safety. Comprising the following steps executed in sequence: S1) based on real-time
monitoring data of a distributed temperature sensor in a battery module, constructing a dynamic space-time neural field model through an adaptive graph neural network, and generating a thermal field
fingerprint representing a thermal propagation topology mode; according to the fault diagnosis and early warning method for the intelligent
thermal management system of the
power battery, a dynamic space-time neural field model is constructed, a sub-DEG C weak thermal abnormal
signal is accurately captured, and a micro
short circuit fault is recognized in advance in combination with
electric heating delay analysis, so that the problem that a fault precursor
signal is submerged by a complex working condition is solved; a double-channel
verification mechanism depends on double mutual
verification of
physical law rigid constraint and intelligent residual
feature recognition, the misjudgment risk caused by cooling
system fluctuation and sensor
noise is eliminated, and the early warning accuracy is improved.