KR-20260067985-A - FLUXGATE CURRENT SENSOR

KR20260067985AKR 20260067985 AKR20260067985 AKR 20260067985AKR-20260067985-A

Abstract

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

Inventors

리우, 지
송, 팅
리, 양양
첸, 우
왕, 지에
후, 유
구, 진시

Assignees

허니웰 인터내셔날 인코포레이티드

Dates

Publication Date: 20260513
Application Date: 20251020
Priority Date: 20241106

Claims (3)

A method for measuring current using a fluxgate current sensor, wherein the method comprises: A step of receiving a flux-gate signal corresponding to a primary current by a controller - said flux-gate signal includes at least two plateau periods, and each plateau period defines a plurality of candidate calculation windows -; A step of generating an operation condition classification based on the signal characteristic set by applying the signal characteristic set to a classification model by the above controller - the operation condition classification is one of (i) an AC operation condition representing an AC primary current or (ii) a DC operation condition representing a DC primary current -; A step of selecting a calculation window from a plurality of calculation windows based on the operation condition classification by the above controller - the plurality of calculation windows includes a first calculation window and a second calculation window -; and A method comprising the step of generating a predicted current value for the primary current by applying a prediction model to each of the at least two plateau intervals for current values sampled within the selected calculation window by the controller, wherein the step of generating the predicted current value includes the step of generating an average of the sampled current values.
A method according to claim 1, wherein the flux gate signal is received from a flux gate excitation and sampling module.
A method according to claim 1, further comprising the step of generating a set of signal characteristics based on the fluxgate signal by performing an analysis on the fluxgate signal.

Description

Fluxgate Current Sensor The present disclosure relates to current sensors, more specifically to fluxgate current sensor measurements. Some exemplary embodiments relate to fluxgate current sensors under AC operation. The applicant has identified many technical challenges and difficulties associated with current sensor measurements. Through effort, ingenuity, and innovation, the applicant has solved many of these identified problems by developing the embodiments of the present disclosure, which are described in detail below. The various embodiments described herein relate to current sensors, more specifically, to fluxgate current sensor measurements. Some exemplary embodiments relate to fluxgate current sensors under alternating current (AC) operation. According to one aspect of the present disclosure, a method for measuring current using a fluxgate sensor is provided. In some embodiments, the method comprises: receiving a fluxgate signal corresponding to a primary current by a controller, wherein the fluxgate signal includes at least two plateau periods, each plateau period defines a plurality of candidate calculation windows; generating an operating condition classification based on the signal characteristic set by applying a signal characteristic set to a classification model by the controller, wherein the operating condition classification is one of (i) an AC operating condition representing an AC primary current or (ii) a DC operating condition representing a DC primary current; and selecting a calculation window from a plurality of calculation windows based on the operating condition classification by the controller, wherein the plurality of calculation windows includes a first calculation window and a second calculation window. and by the controller, the step of generating a predicted current value for the primary current by applying a prediction model to each of the at least two plateau intervals for the current values sampled within the selected calculation window—the step of generating the predicted current value includes the step of 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 the step of generating the signal characteristic set based on the fluxgate signal by performing an analysis on the fluxgate signal. In some embodiments, the signal characteristic set includes (i) peak signal data, (ii) signal dispersion data, and (iii) cycle data. In some embodiments, generating an operating condition classification includes determining whether (i) peak signal data satisfies a peak threshold, (ii) variance data satisfies a variance threshold, and (iii) cycle data satisfies a cycle threshold. In some embodiments, generating an operating condition classification further comprises generating an operating condition classification as a DC operating condition classification in response to determining that (i) peak signal data does not meet a peak threshold and (ii) variance data does not meet a variance threshold. In some embodiments, generating an operating condition classification further comprises generating an operating condition classification with an AC operating condition classification in response to determining that (i) peak signal data satisfies a peak threshold or (ii) variance data satisfies a variance threshold. In some embodiments, the classification model is a rule-based model comprising a plurality of rules, wherein generating an operation condition classification includes comparing a set of signal characteristics with one or more thresholds. In some embodiments, selecting a calculation window from a plurality of calculation windows based on an operating condition classification includes selecting a first calculation window in response to a DC operating condition classification, wherein the first calculation window has a length shorter than the length of each of at least two plateau sections. In some embodiments, selecting a calculation window from a plurality of calculation windows based on an operating condition classification includes selecting a second calculation window in response to an AC operating condition classification. Description of exemplary embodiments can be read together with the accompanying drawings. For the sake of simplicity and clarity of example, it will be recognized that, unless otherwise stated, the elements illustrated in the drawings are not necessarily drawn to scale. For example, the dimensions of some elements may be exaggerated compared to others unless otherwise stated. Embodiments incorporating the teachings of the present disclosure are illustrated and described in connection with the drawings set forth herein: FIG. 1 provides a block diagram of an exemplary fluxgate current sensor according to at least one embodiment of the present disclosure. FIG. 2 provides an exemplary flux-gate signal waveform for a prima