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[해외논문] F-DCS: FMI-Based Distributed CPS Simulation Framework with a Redundancy Reduction Algorithm 원문보기

Sensors, v.20 no.1, 2020년, pp.252 -   

Hong, Seokjoon (The Department of Computer and Software, Hanyang University, 222 Wangsimni-ro, Seoul 04763, Korea) ,  Lim, Ducsun (daniel379@hanyang.ac.kr (S.H.)) ,  Joe, Inwhee (imcoms@hanyang.ac.kr (D.L.)) ,  Kim, WonTae (iwjoe@hanyang.ac.kr (I.J.))

Abstract AI-Helper 아이콘AI-Helper

A cyber physical system (CPS) is a distributed control system in which the cyber part and physical part are tightly interconnected. A representative CPS is an electric vehicle (EV) composed of a complex system and information and communication technology (ICT), preliminary verified through simulatio...

Keyword

참고문헌 (47)

  1. 1. Lee E.A. Cyber physical systems: Design challenges Proceedings of the 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing (ISORC) Orlando, FL, USA 5?7 May 2008 IEEE Computer Society Washington, DC, USA 2008 363 369 

  2. 2. Derler P. Lee E.A. Vincentelli A.S. Modeling cyber?physical systems Proceedings of the 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems Las Vegas, NV, USA 27?29 April 2011 Volume 100 13 28 

  3. 3. Eidson J.C. Lee E.A. Matic S. Seshia S.A. Zou J. Distributed real-time software for cyber?physical systems Proc. IEEE 2011 100 45 59 10.1109/JPROC.2011.2161237 

  4. 4. National Science Foundation of the United States Cyber-Physical System (CPS) Program Solicitation Available online: http://www.nsf.gov/pubs/2010/nsf10515/nsf10515.htm (accessed on 18 August 2017) 

  5. 5. Guan X. Yang B. Chen C. Dai W. Wang Y. A comprehensive overview of cyber-physical systems: From perspective of feedback system IEEE/CAA J. Autom. Sin. 2016 3 1 14 

  6. 6. Sharma A. Rathee G. Kumar R. Saini H. Vijaykumar V. Nam Y. Chilamkurti N. A Secure, Energy-and SLA-Efficient (SESE) E-Healthcare Framework for Quickest Data Transmission Using Cyber-Physical System Sensors 2019 19 2119 10.3390/s19092119 31067811 

  7. 7. Jiang Y. Yin S. Kaynak O. Data-driven monitoring and safety control of industrial cyber-physical systems: Basics and beyond IEEE Access 2018 6 47374 47384 10.1109/ACCESS.2018.2866403 

  8. 8. Roy D. Zhang L. Chang W. Mitter S.K. Chakraborty S. Semantics-preserving cosynthesis of cyber-physical systems Proc. IEEE 2017 106 171 200 10.1109/JPROC.2017.2779456 

  9. 9. Yu Z. Zhou L. Ma Z. El-Meligy M.A. Trustworthiness modeling and analysis of cyber-physical manufacturing systems IEEE Access 2017 5 26076 26085 10.1109/ACCESS.2017.2777438 

  10. 10. Emadi A. Lee Y.J. Rajashekara K. Power electronics and motor drives in electric, hybrid electric, and plug-in hybrid electric vehicles IEEE Trans. Ind. Electron. 2008 55 2237 2245 10.1109/TIE.2008.922768 

  11. 11. Iora P. Tribioli L. Effect of ambient temperature on electric vehicles’ energy consumption and range: Model definition and sensitivity analysis based on nissan leaf data World Electr. Veh. J. 2019 10 2 10.3390/wevj10010002 

  12. 12. Morris T.H. Srivastava A.K. Reaves B. Pavurapu K. Abdelwahed S. Vaughn R. Wesley S. Dandass Y. Engineering future cyber-physical energy systems: Challenges, research needs, and roadmap Proceedings of the 41st North. American power symposium Starkville, MS, USA 4?6 October 2009 1 6 

  13. 13. Tehrani K. Maurice O. A cyber physical energy system design (CPESD) for electric vehicle applications Proceedings of the 12th System of Systems Engineering Conference (SoSE) Waikoloa, HI, USA 18?21 June 2017 1 6 

  14. 14. Ge Y. Dong Y. Zhao H. A cyber-physical energy system architecture for electric vehicles charging application Proceedings of the 12th International Conference on Quality Software Xi’an, China 27?29 August 2012 246 250 

  15. 15. Kim J.E. Mosse D. Generic framework for design, modeling and simulation of cyber physical systems ACM SIGBED Rev. 2008 5 1 10.1145/1366283.1366284 

  16. 16. Gao D.W. Mi C. Emadi A. Modeling and simulation of electric and hybrid vehicles Proc. IEEE 2007 95 729 745 10.1109/JPROC.2006.890127 

  17. 17. Muta K. Yamazaki M. Tokieda J. Development of New-Generation Hybrid System THS II-Drastic Improvement of Power Performance and Fuel Economy No. 2004-01-0064 SAE Technical Paper SAE International Warrendale, PA, USA 2004 

  18. 18. Maia R. Silva M. Araujo R. Nunes U. Electric vehicle simulator for energy consumption studies in electric mobility systems Proceedings of the 2011 IEEE Forum on Integrated and Sustainable Transportation Systems Vienna, Austria 29 June?1 July 2011 227 232 

  19. 19. Mahseredjian J. Dennetiere S. Dube L. Khodabakhchian B. Gerin-Lajoie L. On a new approach for the simulation of transients in power systems Electr. Power Syst. Res. 2007 77 1514 1520 10.1016/j.epsr.2006.08.027 

  20. 20. Gomes C. Thule C. Broman D. Larsen P.G. Vangheluwe H. Co-simulation: A survey ACM Comput. Surv. 2018 51 49 10.1145/3179993 

  21. 21. Faruque M.O. Dinavahi V. Steurer M. Monti A. Strunz K. Martinez J.A. Chang G.W. Jatskevich J. Iravani R. Davoudi A. Interfacing issues in multi-domain simulation tools IEEE Trans. Power Deliv. 2011 27 439 448 10.1109/TPWRD.2011.2170861 

  22. 22. Zhao H. Wang B. Zhang G. Feng Y. Energy Saving Design and Control of Steering Wheel System of Steering by Wire Vehicle IEEE Access 2019 7 44307 44316 10.1109/ACCESS.2019.2906224 

  23. 23. Chen Y. Li X. Wiet C. Wang J. Energy management and driving strategy for in-wheel motor electric ground vehicles with terrain profile preview IEEE Trans. Ind. Inform. 2013 10 1938 1947 10.1109/TII.2013.2290067 

  24. 24. Zhang Z. Eyisi E. Koutsoukos X. Porter J. Karsai G. Sztipanovits J. A co-simulation framework for design of time-triggered automotive cyber physical systems Simul. Model. Pract. Theory 2014 43 16 33 10.1016/j.simpat.2014.01.001 

  25. 25. Li W. Zhu X.Y. Ju J. Hierarchical Braking Torque Control of In-Wheel-Motor-Driven Electric Vehicles Over CAN IEEE Access 2018 6 65189 65198 10.1109/ACCESS.2018.2877960 

  26. 26. Yu W. Xue Y. Luo J. Ni M. Tong H. Huang T. An UHV grid security and stability defense system: Considering the risk of power system communication IEEE Trans. Smart Grid 2015 7 491 500 10.1109/TSG.2015.2392100 

  27. 27. Blochwitz T. Functional Mock-Up Interface for Model Exchange and Co-Simulation Available online: https://www.fmi-Standard.org/downloads/ (accessed on 25 July 2014) 

  28. 28. Hyundai Mobis Available online: https://www.mobis.co.kr/main/index.do (accessed on 29 November 2019) 

  29. 29. Broman D. Brooks C. Greenberg L. Lee E.A. Masin M. Tripakis S. Wetter M. Determinate composition of FMUs for co-simulation Proceedings of the Eleventh ACM International Conference on Embedded Software Montreal, QC, Canada 29 September?4 October 2013 2 

  30. 30. Cremona F. Lohstroh M. Broman D. Di Natale M. Lee E.A. Tripakis S. Step revision in hybrid co-simulation with FMI Proceedings of the 2016 ACM/IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE) Kanpur, India 18?20 November 2016 173 183 

  31. 31. Galtier V. Vialle S. Dad C. Tavella J.P. Lam-Yee-Mui J.P. Plessis G. FMI-based distributed multi-simulation with DACCOSIM Proceedings of the Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium San Diego, CA, USA 7?10 April 2015 Society for Computer Simulation International San Diego, CA, USA 2015 39 46 

  32. 32. Lacoursiere C. Hardin T. FMI Go! A simulation runtime environment with a client server architecture over multiple protocols Proceedings of the 12th International Modelica Conference Prague, Czech Republic 15?7 May 2017 Linkoping University Electronic Press Linkoping, Sweden 2017 653 662 

  33. 33. Tijero H.P. Gutierrez J.J. On the schedulability of a data-centric real-time distribution middleware Comput. Stand. Interfaces 2012 34 203 211 10.1016/j.csi.2011.08.005 

  34. 34. Einhorn M. Conte F.V. Kral C. Niklas C. Popp H. Fleig J. A modelica library for simulation of electric energy storages Proceedings of the 8th International Modelica Conference Dresden, Germany 20?22 March 2011 Linkoping University Electronic Press Linkoping, Sweden 2011 436 445 

  35. 35. Chen M. Rincon-Mora G.A. Accurate electrical battery model capable of predicting runtime and IV performance IEEE Trans. Energy Convers. 2006 21 504 511 10.1109/TEC.2006.874229 

  36. 36. Bhatt A. Planning and application of Electric Vehicle with MATLAB ® /Simulink ® Proceedings of the 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) Trivandrum, India 14?17 December 2016 1 6 

  37. 37. Larminie J. Lowry J. Electric Vehicle Technology Explained John Wiley & Sons Hoboken, NJ, USA 2012 978-1-119-94273-3 

  38. 38. Soylu S. Electric Vehicles: Modelling and Simulations BoD?Books on Demand Norderstedt, Germany 2011 978-953-307-447-1 

  39. 39. Niederjohn R.J. Stick P.P. A computer interface for efficient zero-crossing interval measurement IEEE Trans. Comput. 1975 100 329 331 10.1109/T-C.1975.224217 

  40. 40. Cellier F.E. Kofman E. Continuous System Simulation Springer Science & Business Media Berlin, Germany 2006 978-0-387-26102-7 

  41. 41. Pejovic P. Kolar J.W. Nishida Y. Bidirectional AC DC Converter for Regenerative Braking Electronics 2012 16 3 8 10.7251/ELS1216003P 

  42. 42. Karotiya R.M. Gaidhane M.A. Regenerative Braking Method Used in Converter for Traction Application 2015 Available online: https://pdfs.semanticscholar.org/84ca/bf9fb0fd498dcaf455e524c4f5993a4511c7.pdf (accessed on 6 September 2015) 

  43. 43. Cheng K.W.E. Divakar B.P. Wu H. Ding K. Ho H.F. Battery-management system (BMS) and SOC development for electrical vehicles IEEE Trans. Veh. Technol. 2010 60 76 88 10.1109/TVT.2010.2089647 

  44. 44. Qtronic, FMU SDK version 2.0.6 Available online: https://www.qtronic.de/doc.fmusdk.zip (accessed on 25 July 2014) 

  45. 45. OpenDDS version 3.13 Available online: https://opendds.org/ (accessed on 23 August 2018) 

  46. 46. Butler K.L. Ehsani M. Kamath P. A MATLAB-based modeling and simulation package for electric and hybrid electric vehicle design IEEE Trans. Veh. Technol. 1999 48 1770 1778 10.1109/25.806769 

  47. 47. FMU SDK Co-Simulation Master Algorithm Available online: https://github.com/schteppe/fmusdk.git (accessed on 28 November 2012) 

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