The invention relates to the technical field of ultra-low field magnetic
resonance systems, in particular to a
battery charge state detection method and
system based on closed-loop adaptive ultra-low field MRI, and the method comprises the steps: collecting the
phase change of a water molecule H
signal caused by the
magnetic field disturbance of a to-be-detected battery, and reconstructing a first
signal phase image; extracting to obtain a high-information-content area
mask, and then performing
resampling to obtain a second
signal phase image; and inputting the second signal
phase image into a state-of-
charge detection model to predict a state-of-charge value of the to-be-detected battery. In order to solve the problem that a battery magnetic
resonance detection scheme in the prior art needs to adopt a high-field magnetic
resonance system and is not beneficial to
production line use, detection equipment is replaced with an ultralow-field magnetic resonance
system, so that structures such as a shielding room in a traditional magnetic resonance system are omitted, and a high-information-content area is positioned firstly, so that the detection efficiency is improved; and
resampling is carried out on the region, so that the imaging precision is improved, and the accuracy of
state of charge estimation of the detection model is improved.