LAPSE:2023.29861
Published Article

LAPSE:2023.29861
Integrated Electric Vehicle Shunt Current Sensing System for Concurrent Revenue Metering and Detection of DC Injection
April 14, 2023
Abstract
Certified electric vehicle power converters can inject DC current into the AC grid if they fail. Verification of DC injection by electric vehicle supply equipment can be a cost-effective extra measure to ensure power quality from a variety of plugged-in electric vehicles. As electric vehicle supply equipment typically performs high-accuracy revenue energy metering, we propose that measurement of AC current and DC injection with a single sensor is the most economically efficient design. This article presents an integrated shunt current sensing system with separation of AC and DC signals for concurrent revenue metering and DC injection detection. It also shows how the combined sensor is integrated into 19.2 kW single-phase electric vehicle supply equipment, and outlines how the design would be extended to 100 kW three-phase electric vehicle supply equipment. The prototype can detect DC injection of ≥400 mA in an AC current up to 80 A in accordance with the IEEE 1547-2018 standard. The prototype can also conduct revenue metering within the 1.0 accuracy class. The prototype does not have high power dissipation at high currents typical for shunt systems. Finally, the prototype is less costly than common electric vehicle supply equipment revenue metering CT systems with the addition of the popular Hall-effect sensor.
Certified electric vehicle power converters can inject DC current into the AC grid if they fail. Verification of DC injection by electric vehicle supply equipment can be a cost-effective extra measure to ensure power quality from a variety of plugged-in electric vehicles. As electric vehicle supply equipment typically performs high-accuracy revenue energy metering, we propose that measurement of AC current and DC injection with a single sensor is the most economically efficient design. This article presents an integrated shunt current sensing system with separation of AC and DC signals for concurrent revenue metering and DC injection detection. It also shows how the combined sensor is integrated into 19.2 kW single-phase electric vehicle supply equipment, and outlines how the design would be extended to 100 kW three-phase electric vehicle supply equipment. The prototype can detect DC injection of ≥400 mA in an AC current up to 80 A in accordance with the IEEE 1547-2018 standard. The prototype can also conduct revenue metering within the 1.0 accuracy class. The prototype does not have high power dissipation at high currents typical for shunt systems. Finally, the prototype is less costly than common electric vehicle supply equipment revenue metering CT systems with the addition of the popular Hall-effect sensor.
Record ID
Keywords
bidirectional charging, current measurements, DC injection, electric vehicle supply equipment, electric vehicles, power quality, sensor systems and applications, shunts, vehicle to grid
Subject
Suggested Citation
Mironenko O, Ejzak G, Kempton W. Integrated Electric Vehicle Shunt Current Sensing System for Concurrent Revenue Metering and Detection of DC Injection. (2023). LAPSE:2023.29861
Author Affiliations
Mironenko O: Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA [ORCID]
Ejzak G: Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA [ORCID]
Kempton W: Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA; College of Earth, Ocean and Environment, University of Delaware, Newark, DE 19716, USA [ORCID]
Ejzak G: Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA [ORCID]
Kempton W: Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA; College of Earth, Ocean and Environment, University of Delaware, Newark, DE 19716, USA [ORCID]
Journal Name
Energies
Volume
14
Issue
4
First Page
1193
Year
2021
Publication Date
2021-02-23
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14041193, Publication Type: Journal Article
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LAPSE:2023.29861
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https://doi.org/10.3390/en14041193
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