CN-121995104-A - Fluxgate current sensor

CN121995104ACN 121995104 ACN121995104 ACN 121995104ACN-121995104-A

Abstract

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

Inventors

LIU ZHI
SONG TING
LI YANGYANG
CHEN WU
WANG JIE
HU YU
GU JINXI

Assignees

霍尼韦尔国际公司

Dates

Publication Date: 20260508
Application Date: 20241106

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 the primary current, wherein the fluxgate signal includes at least two plateau periods, and each plateau period defines a plurality of candidate calculation windows; Generating, by the controller, an operating condition classification based on the signal feature set by applying the signal feature set to a classification model, wherein the operating condition classification is one of (i) an AC operating condition indicative of an AC primary current or (ii) a DC operating condition indicative of a DC primary current; Selecting, by the controller, a computing window from a plurality of computing windows based on the operating condition classification, wherein the plurality of computing windows includes a first computing window and a second computing window, and Generating, by the controller, a predicted current value of the primary current by applying a sampled current value within a selected calculation window for each of the at least two plateau periods to a prediction model, wherein generating the predicted current value includes 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 a set of signal features based on the fluxgate signal by performing an analysis on the fluxgate signal.
4. A method according to claim 3, wherein the signal feature set comprises (i) peak signal data, (ii) signal variance data, and (iii) periodic data.
5. The method of claim 4, wherein generating the operating condition classification comprises determining (i) whether the peak signal data meets a peak threshold, (ii) whether the variance data meets a variance threshold, and (iii) whether the period data meets a period threshold.
6. The method of claim 5, wherein generating the operating condition classification further comprises generating the operating condition classification as a DC operating condition classification in response to determining that (i) the peak signal data fails to meet the peak threshold and (ii) the variance data fails to meet the variance threshold.
7. The method of claim 5, wherein generating the operating condition classification further comprises generating the operating condition classification as an AC operating condition classification in response to determining that (i) the peak signal data meets the peak threshold or (ii) the variance data meets the variance threshold.
8. The method of claim 1, wherein the classification model is a rule-based model comprising a plurality of rules, wherein generating the operating condition classification comprises comparing the signal feature set to one or more thresholds.
9. The method of claim 1, wherein selecting the computing window from the plurality of computing windows based on the operating condition classification comprises selecting the first computing window in response to a DC operating condition classification, wherein the first computing 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 a computing window from a plurality of computing windows based on the operating condition classification comprises selecting a second computing window in response to the AC operating condition classification.

Description

Fluxgate current sensor Technical Field The present disclosure relates to current sensors, and more particularly to fluxgate current sensor measurements. Some example embodiments are directed to fluxgate current sensors under ac operation. Background Applicant has identified a number of technical challenges and difficulties associated with current sensor measurements. Through applied efforts, originality, and innovation, applicants have addressed many of these identified problems by developing embodiments of the present disclosure, which are described in detail below. Disclosure of Invention Various embodiments described herein relate to current sensors, and more particularly to fluxgate current sensor measurements. Some example embodiments relate to fluxgate current sensors under Alternating Current (AC) operation. According to one aspect of the present disclosure, a method of measuring current using a fluxgate sensor is provided. In some embodiments, a method includes receiving, by a controller, a fluxgate signal corresponding to a primary current, wherein the fluxgate signal includes at least two plateau periods (plateauperiod) and each plateau period defines a plurality of candidate computation windows, generating, by the controller, an operating condition classification based on the signal feature set by applying the signal feature set to a classification model, wherein the operating condition classification is one of (i) an AC operating condition indicative of an AC primary current or (ii) a DC operating condition indicative of a DC primary current, selecting, by the controller, a computation window from a plurality of computation windows based on the operating condition classification, wherein the plurality of computation windows includes a first computation window and a second computation window, and generating, by the controller, a predicted current value for the primary current by applying a sampled current value within the selected computation window for each of the at least two plateau periods to a prediction model, wherein generating the predicted current value includes generating an average of the sampled current value. In some embodiments, a fluxgate signal is received from a fluxgate excitation and sampling module. In some embodiments, the method further comprises generating a set of signal features based on the fluxgate signal by performing an analysis on the fluxgate signal. In some embodiments, the signal feature set includes (i) peak signal data, (ii) signal variance (variance) data, and (iii) periodic data. In some embodiments, generating the operating condition classification includes determining (i) whether peak signal data meets a peak threshold, (ii) whether variance data meets a variance threshold, and (iii) whether period data meets a period threshold. In some embodiments, generating the operating condition classification further comprises generating the operating condition classification as a DC operating condition classification in response to determining that (i) the peak signal data fails to meet the peak threshold and (ii) the variance data fails to meet the variance threshold. In some embodiments, generating the operating condition classification further comprises generating the operating condition classification as an AC operating condition classification in response to determining that (i) the peak signal data meets a peak threshold or (ii) the variance data meets a variance threshold. In some embodiments, the classification model is a rule-based model comprising a plurality of rules, wherein generating the operating condition classification comprises comparing the signal feature set to one or more thresholds. In some embodiments, selecting a computing window from the plurality of computing windows based on the operating condition classification includes selecting a first computing window in response to the DC operating condition classification, wherein the first computing window has a length that is less than a length of each of the at least two plateau periods. In some embodiments, selecting a computing window from the plurality of computing windows based on the operating condition classification includes selecting a second computing window in response to the AC operating condition classification. Drawings The description of the illustrative embodiments may be read in connection with the accompanying drawings. It will be appreciated that for simplicity and clarity of illustration, elements shown in the figures have not necessarily been drawn to scale, unless otherwise described. For example, the dimensions of some of the elements may be exaggerated relative to other elements unless otherwise described. Embodiments that incorporate the teachings of the present disclosure are shown and described with respect to the drawings presented herein, wherein: fig. 1 provides a block diagram of an example fluxgate current sensor in accordance with at least one embodiment of the pres