Research on remote verification methods for charging piles by virtual standard device
ID：157
Submission ID：120 View Protection：ATTENDEE
Updated Time：2024-10-23 10:02:35 Hits：30
Poster Presentation
Start Time：Pending （Asia/Shanghai）
Duration：Pending
Session：[No Session] » [No Session Block]
No files
Abstract
Compared to traditional fuel vehicles, new energy vehicles offer advantages such as no exhaust emissions and lower carbon footprint. In recent years, the number of electric vehicles has grown exponentially, and the number of charging infrastructure has also increased rapidly. Electric vehicle charging stations are measurement instruments used for trade settlement, and regulations require these instruments to be periodically verified. Traditional measurement work for charging stations involves on-site verification based on physical standards, which is limited by physical space and cannot meet the growing demand efficiently. This paper analyzes and discusses the issue based on Bayesian theory, designing a system for verifying electric vehicle charging stations that improves efficiency. The algorithm explores remote measurement error assessment and uncertainty evaluation methods, using the tree-like structure of the charging process to estimate measurement errors, achieving an accuracy rate of over 85% for identifying out-of-tolerance charging stations, demonstrating the algorithm's effectiveness.
Keywords
Charging piles; Bayesian theory ；remote verification；Virtual standard device
Speaker
HanZongtao
DR Shenzhen Academy of Metrology & Quality InspectionSubmission Author
All comments
15th August 2024 31st August 2024- Manuscript Submission
15th September 2024 - Acceptance Notification
1st October 2024 - Camera Ready Submission
1st October 2024 – Early Bird Registration
Contact Us
Website:
https://icsmd2024.aconf.org/
Comment submit