EP-4741839-A1 - FLUXGATE CURRENT SENSOR

Abstract

Embodiments of the present disclosure provide techniques for improved fluxgate current sensor. A fluxgate signal (120) corresponding to a primary current may be received. The fluxgate signal may include at least two plateau periods (210A, 210B). Each plateau period may define a plurality of candidate calculation windows (330A). An operation condition classification may be generated based on a signal characteristics set by applying the signal characteristics set to a classification model. The operation condition may be one of an AC operation condition or DC operation condition. A calculation window may be selected based on the operation condition classification. The plurality of calculation windows may include a first calculation window and a second calculation window. A predicted current value may be generated for the primary current by applying sampled current values within the selected calculation window for each of the at least two plateau periods to a prediction model.

Inventors

• LIU, ZHI
• SONG, Ting
• LI, YANGYANG
• CHEN, WU
• WANG, JIE
• HU, YU
• GU, Jinxi

Assignees

• Honeywell International Inc.

Dates

Publication Date

20260513

Application Date

20250930

Claims (10)

1. A method of measuring current using a fluxgate current sensor, the method comprising: receiving, by a controller, a fluxgate signal corresponding to a primary current, wherein the fluxgate signal comprises at least two plateau periods and each plateau period defines a plurality of candidate calculation windows; generating, by the controller, an operation condition classification based on a signal characteristics set by applying the signal characteristics set to a classification model, wherein the operation condition classification is one of (i) an AC operation condition indicative of AC primary current or (ii) DC operation condition indicative of DC primary current; selecting, by the controller, a calculation window from a plurality of calculation windows based on the operation condition classification, wherein the plurality of calculation windows comprises a first calculation window and a second calculation window; and generating, by the controller, a predicted current value for the primary current by applying sampled current values within the selected calculation window for each of the at least two plateau periods to a prediction model, wherein the generating the predicted current value comprises generating an average of the sampled current values.
2. The method of claim 1, wherein the fluxgate signal is received from a fluxgate excitation and sampling module.
3. The method of claim 1, further comprising generating the signal characteristics set based on the fluxgate signal by performing analytics on the fluxgate signal.
4. The method of claim 3, wherein the signal characteristics set comprises (i) peak signal data, (ii) signal variance data, and (iii) cycle data.
5. The method of claim 4, wherein generating the operation condition classification comprises determining: (i) whether the peak signal data satisfies a peak threshold value (ii) whether the variance data satisfies a variance threshold value, and (iii) whether the cycle data satisfies a cycle threshold.
6. The method of claim 5, wherein generating the operation condition classification further comprises generating the operation condition classification as a DC operation condition classification in response to determining that (i) the peak signal data fails to satisfy the peak threshold value and (ii) the variance data fails to satisfy the variance threshold value.
7. The method of claim 5, wherein generating the operation condition classification further comprises generating the operation condition classification as an AC operation condition classification in response to determining that (i) the peak signal data satisfies the peak threshold value or (ii) the variance data satisfies the variance threshold value.
8. The method of claim 1, wherein the classification model is a rules-based model that comprises a plurality of rules, wherein generating the operation condition classification comprises comparing the signal characteristics set to one or more thresholds.
9. The method of claim 1, wherein selecting the calculation window from the plurality of calculation windows based on the operation condition classification comprises selecting the first calculation window in response to a DC operation condition classification, wherein the first calculation window has a length that is less than a length of each of the at least two plateau periods.
10. The method of claim 1, wherein selecting the calculation window from the plurality of calculation windows based on the operation condition classification comprises selecting the second calculation window in response to an AC operation condition classification.

Description

FIELD OF THE INVENTION The present disclosure relate to current sensors and, more particularly, to fluxgate current sensor measurement. Some example embodiments are directed to fluxgate current sensor under alternating current operation. BACKGROUND Applicant has identified many technical challenges and difficulties associated with current sensor measurement. Through applied effort, ingenuity, and innovation, Applicant has solved many of these identified problems by developing the embodiments of the present disclosure, which are described in detail below. BRIEF SUMMARY Various embodiments described herein relate to current sensors and, more particularly to fluxgate current sensor measurement. Some example embodiments are directed to fluxgate current sensor under alternating current (AC) operation. In accordance with one aspect of the present disclosure, a method for measure current using a fluxgate sensor is provided. In some embodiments, the method include receiving, by a controller, a fluxgate signal corresponding to a primary current, wherein the fluxgate signal comprises at least two plateau periods and each plateau period defines a plurality of candidate calculation windows; generating, by the controller, an operation condition classification based on a signal characteristics set by applying the signal characteristics set to a classification model, wherein the operation condition classification is one of (i) an AC operation condition indicative of AC primary current or (ii) DC operation condition indicative of DC primary current; selecting, by the controller, a calculation window from a plurality of calculation windows based on the operation condition classification, wherein the plurality of calculation windows comprises a first calculation window and a second calculation window; and generating, by the controller, a predicted current value for the primary current by applying sampled current values within the selected calculation window for each of the at least two plateau periods to a prediction model, wherein the generating the predicted current value comprises generating an average of the sampled current values. In some embodiments, the fluxgate signal is received from a fluxgate excitation and sampling module. In some embodiments, the method further includes generating the signal characteristics set based on the fluxgate signal by performing analytics on the fluxgate signal. In some embodiments, the signal characteristics set comprises (i) peak signal data, (ii) signal variance data, and (iii) cycle data. In some embodiments, generating the operation condition classification comprises determining: (i) whether the peak signal data satisfies a peak threshold value (ii) whether the variance data satisfies a variance threshold value, and (iii) whether the cycle data satisfies a cycle threshold. In some embodiments, generating the operation condition classification further comprises generating the operation condition classification as a DC operation condition classification in response to determining that (i) the peak signal data fails to satisfy the peak threshold value and (ii) the variance data fails to satisfy the variance threshold value. In some embodiments, generating the operation condition classification further comprises generating the operation condition classification as an AC operation condition classification in response to determining that (i) the peak signal data satisfies the peak threshold value or (ii) the variance data satisfies the variance threshold value. In some embodiments, the classification model is a rules-based model that comprises a plurality of rules, wherein generating the operation condition classification comprises comparing the signal characteristics set to one or more thresholds. In some embodiments, selecting the calculation window from the plurality of calculation windows based on the operation condition classification comprises selecting the first calculation window in response to a DC operation condition classification, wherein the first calculation window has a length that is less than a length of each of the at least two plateau periods. In some embodiments, selecting the calculation window from the plurality of calculation windows based on the operation condition classification comprises selecting the second calculation window in response to an AC operation condition classification. BRIEF DESCRIPTION OF THE DRAWINGS The description of the illustrative embodiments may be read in conjunction with the accompanying figures. It will be appreciated that, for simplicity and clarity of illustration, elements illustrated in the figures have not necessarily been drawn to scale, unless described otherwise. For example, the dimensions of some of the elements may be exaggerated relative to other elements, unless described otherwise. Embodiments incorporating teachings of the present disclosure are shown and described with respect to the figures presented herein, in which: FIG