High-Fidelity Energy Metering for Electric Vehicle Battery Charging: A Dual-ADC Self-Calibration Approach

The rapid proliferation of electric vehicles (EVs) and the demand for faster charging times necessitate accurate energy metering across increasingly wider current ranges. Conventional single-meter approaches struggle to meet these demands, often exhibiting limited accuracy, particularly at high currents. To address this challenge, we present a novel energy metering model based on dual analog-to-digital converter (ADC) self-calibration. The model incorporates a zero-flux high-current monitoring technique and dual-ADC enhancement strategy, continuous current measurement. Additionally, a power gap compensation strategy, accounting for both switching-transition energy and conduction energy, enables accurate wide-range power metering. Experimental validation demonstrates a metering error of 1.29% <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times 10^{-2}$ </tex-math></inline-formula>% across a 0–600 A range, achieving high-level accuracy of 0.02 with a measurement uncertainty of 0.017%. These results highlight the potential of our approach to provide robust, high-fidelity energy metering for next-generation EV charging systems.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3553226
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
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article

High-Fidelity Energy Metering for Electric Vehicle Battery Charging: A Dual-ADC Self-Calibration Approach

Yufeng Sun, Xiyang Ou, Siyuan Liang, Changxi Yue et al.
IEEE Transactions on Instrumentation and Measurement
Advanced Battery Technologies Research
article

High-Fidelity Energy Metering for Electric Vehicle Battery Charging: A Dual-ADC Self-Calibration Approach

Yufeng Sun, Xiyang Ou, Siyuan Liang, Changxi Yue, Jicheng Yu, Xiaodong Yin, You Zhou
article en

Abstract

The rapid proliferation of electric vehicles (EVs) and the demand for faster charging times necessitate accurate energy metering across increasingly wider current ranges. Conventional single-meter approaches struggle to meet these demands, often exhibiting limited accuracy, particularly at high currents. To address this challenge, we present a novel energy metering model based on dual analog-to-digital converter (ADC) self-calibration. The model incorporates a zero-flux high-current monitoring technique and dual-ADC enhancement strategy, continuous current measurement. Additionally, a power gap compensation strategy, accounting for both switching-transition energy and conduction energy, enables accurate wide-range power metering. Experimental validation demonstrates a metering error of 1.29% <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times 10^{-2}$ </tex-math></inline-formula>% across a 0–600 A range, achieving high-level accuracy of 0.02 with a measurement uncertainty of 0.017%. These results highlight the potential of our approach to provide robust, high-fidelity energy metering for next-generation EV charging systems.

IEEE Transactions on Instrumentation and MeasurementVol. 74
National Institute for Education (SK)
Affordable and clean energy
Openalex Percentile: Top 94%
Advanced Battery Technologies Research
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