Asset Administration Shell 기반 전기자동차 실시간 모니터링 시스템 구현 = Implementation of Electric Vehicle Realtime Monitoring System using Asset Administration Shell

다국어 초록 (Multilingual Abstract)

Amid the digital transformation paradigm, the concept of a digital twin that can provide a seamless connection between the physical and information worlds was announced as a critical element. Asset Administration Shell (AAS) is emerging as a core technology for implementing a digital twin. AAS is a meta-model specification that can represent all the characteristics and information of the asset in the information world. In this study, we implemented a real-time electric vehicle monitoring system to verify and analyze the characteristics of battery pack operations. A monitoring system collects and stores almost all data on communication between electric vehicle facilities such as the inverter, battery pack, brake system, air conditioning, vehicle location, and vehicle direction depending on the driver’s operations. Furthermore, we developed an AAS meta-model for electric vehicle information to provide a standardized interface for applications. In this paper, we demonstrate a simple example in which the behavior of a battery pack can be analyzed based on the action of the electric vehicle.

다국어 초록 (Multilingual Abstract)

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참고문헌 (Reference)

1 양승무 ; 김동완 ; 김일환, "전기차 주행 데이터에 의한 경로별 배터리 상태 추정" 전력전자학회 24 (24): 139-146, 2019

2 J. Jasperneite, "Why we need automation models: Handling complexity in Industry 4.0 and the Internet of Things" 14 (14): 29-40, 2020

3 S. Bader, "Wende, C" 2021

4 X. Ye, "Toward Industry 4.0 components:Insights into and implementation of asset administration shells" 13 (13): 13-25, 2019

5 C. Wagner, "The role of the Industry 4.0 asset administration shell and the digital twin during the life cycle of a plant" 1-8, 2017

6 R. Heidel, "The reference Architecture Model RAMI4.0 and the Industrie 4.0 component" Beuth Verlag 2019

7 S. Bader, "Submodel templates of the Asset Administration Shell-generic frame for technical data for Industrial equipment in manufacturing" 2020

8 M. Billmann, "Submodel templates of the Asset Administration Shell : submodel for contact information(version 1. 0)" 2021

9 H. Bedenbender, "Submodel Templates of the Asset Administration Shell - ZVEI Digital Nameplate for industrial equipment" 2020

10 Y. Gong, "Nonlinear MIMO for Industrial internet of things in cyberphysical systems" 17 (17): 5533-5541, 2020

11 A. W. Colombo, "Industrial cyberphysical systems : A backbone of the fourth Industrial revolution" 11 (11): 6-16, 2017

12 "IEC PAS 63088, Smart manufacturing - Reference architecture model industry 4.0 (RAMI4.0)"

13 "IEC 62890, Industrial-process measurement, control and automation - Life-cycle-management for systems and components"

14 "IEC 62264-1, Enterprise-control system integration - Part 1:Models and terminology"

15 "IEC 61512-1, Batch control - Part 1: Models and terminology"

16 "IEC 61360-4, IEC reference collection of standard data ele ment types and component classes"

17 "ECLASS Standard"

18 B. Boss, "Digital twin and asset administration shell concepts and application in the Industry internet and Industrie 4.0, An Industrial Internet Consortium and Plattform Industrie 4.0 Joint Whitepaper"

19 S. Bader, "Details of the Asset Administration Shell - Part1: The exchange of information between partners in the value chain of Industrie 4.0" 2020

20 A. Bayha, "Describing capabilities of Industrie 4.0 components" 2020

21 "AutomationML"

22 "Aasx Package Explorer"