Current-Sensing Techniques for Revenue Metering and for Detecting
                    Direct Current Injection from Electric Vehicles: A Review

Mironenko, Olga; Kempton, Willett; Kiamilev, Fouad

doi:10.4271/14-10-02-0010

Cited by 1 publication

(1 citation statement)

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“…These vehicles rely heavily on precise and accurate current measurements for essential functions such as battery management, motor control, autonomous driving, and charging systems [11][12][13][14][15]. Fluxgate current sensors, known for their high precision, wide bandwidth (including DC), and galvanic isolation, are particularly favored in this context [16][17][18].These sensors have become a focal point in research aimed at enhancing performance. An innovative approach involves using a 20 µm-thick Fe 15 Ni 46 Co 39 film with low coercivity and high Curie temperature, placed on a Cu ring to serve as a magnetic core [19].…”

Section: Introductionmentioning

confidence: 99%

Design of Fluxgate Current Sensor Based on Magnetization Residence Times and Neural Networks

Li,

Ren,

Luo

et al. 2024

Sensors

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This study introduces a novel fluxgate current sensor with a compact, ring-shaped configuration that exhibits improved performance through the integration of magnetization residence times and neural networks. The sensor distinguishes itself with a unique magnetization profile, denoted as M waves, which emerge from the interaction between the target signal and ambient magnetic interference, effectively enhancing interference suppression. These M waves highlight the non-linear coupling between the magnetic field and magnetization residence times. Detection of these residence times is accomplished using full-wave rectification circuits and a Schmitt trigger, with a digital output provided by timing sequence detection. A dual-layer feedforward neural network deciphers the target signal, exploiting this non-linear relationship. The sensor achieves a linearity error of 0.054% within a measurement range of 15 A. When juxtaposed with conventional sensors utilizing the residence-time difference strategy, our sensor reduces linearity error by more than 40-fold and extends the effective measurement range by 150%. Furthermore, it demonstrates a significant decrease in ambient magnetic interference.

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