The invention relates to a tunnel reluctance
current sensor structure and temperature parameter optimization method and
system, and the method comprises the steps: arranging an annular
magnetic core, forming symmetrically distributed air gaps in the annular
magnetic core, placing a tunnel reluctance
current sensor in each air gap, and forming a double-air-gap
magnetic circuit structure; constructing a
magnetic field consistency coefficient according to the average magnetic induction intensity, the minimum magnetic induction intensity and the maximum magnetic induction intensity of the air gap center area, and performing optimization solution on structural parameters of the double-air-gap
magnetic circuit structure by taking minimization of the
magnetic field consistency coefficient as a target; respectively establishing a measurement channel and a reference channel according to the double-air-gap
magnetic circuit structure obtained through optimization solution; multiple times of
voltage signal acquisition are carried out through a reference channel under different injection reference currents and different temperature environments, and a temperature compensation factor is calculated, so that
gain parameters of an
amplifier in a measurement channel are adjusted. Compared with the prior art, the anti-interference capability and the measurement sensitivity of the
system can be greatly improved.