This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Network Delay Modelling and Optimization of Internet-Based Distributed Test Platform for Fuel Cell Electric Vehicle Powertrain System
Technical Paper
2021-01-7026
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
The accelerated global progress in the research and development of automobile products, and the use of new technologies, such as the Internet, cloud computing and big data, to coordinate development platforms in different regions and fields, can reduce the duration and cost of development and testing. Specifically, in the context of the current coronavirus disease (COVID-19) pandemic, which has caused great obstacles to normal logistics and transportation, personnel exchanges and information communication, platforms that can support global operation are significant for product testing and validation, because they eliminate the need for the transportation of personnel and equipment. Therefore, the establishment of a distributed test and validation platform for automotive powertrain systems, which can integrate software and hardware testing, is important in terms of both scientific research and industrialization. The main technical difficulties associated with such test and validation platforms include data transmission and the control of the transmission effect. A distributed test and validation platform for a fuel cell electric vehicle powertrain system is proposed herein. The two-time-scale Markov chain is used to simulate the delay between two places (China and Germany), and the least-squares support vector machine (LSSVM) method is used to optimize the transmission effect. The results show that the two-time-scale Markov chain model can effectively simulate the delay between two nations, and that its probability distribution is close to the measured value. The LSSVM method is effectively optimized for all four indicators (velocity, fuel cell output power, battery output power and electric motor output torque). This method can be effectively used in the remote development test validation of vehicle powertrain system.
Authors
Topic
Citation
Niu, W., Song, K., and Liang, C., "Network Delay Modelling and Optimization of Internet-Based Distributed Test Platform for Fuel Cell Electric Vehicle Powertrain System," SAE Technical Paper 2021-01-7026, 2021, https://doi.org/10.4271/2021-01-7026.Also In
References
- Niu , W. , Song , K. et al. Transparency of a Geographically Distributed Test Platform for Fuel Cell Electric Vehicle Powertrain Systems Based on X-in-the-Loop Approach Energies 2018 11, (9) 2411
- Niu , W. , Song , K. , Zhang , Y. et al. Influence and Optimization of Packet Loss on the Internet-Based Geographically Distributed Test Platform for Fuel Cell Electric Vehicle Powertrain Systems IEEE Access 8 2020 20708 20716
- Krishnan , R. , Madhyastha , H.V. , Srinivasan , S. , et al. Moving Beyond End-To-End Path Information to Optimize CDN Performance Proc. 9th ACM SIGCOMM Conference on Internet Measurement Conference Chicago, USA November 4-6 2009 190 201
- Ciavattone , L. , Morton , A. , Ramachandran , G. et al. Standardized Active Measurements on a Tier 1 IP Backbone IEEE Communications Magazine 41 6 2003 90 97
- https://www.corp.att.com
- https://www.dotcom-monitor.com
- https://enterprise.verizon.com/terms/latency
- Yang , F. , Yao , Z. , Ding , F. et al. Understanding Urban Mobility Pattern with Cellular Phone Data: A Case Study of Residents and Travelers in Nanjing Sustainability 11 19 2019 5502
- Rodionov , I.V. On Estimation of Weibull-Tail and Log-Weibull-tail Distributions for Modeling End-to-end Delay Proc. International Conference on Distributed Computer and Communication Networks Valencia, Spain July 29 - August 1 2019 302 314
- Sagatov , E.S. , Samoilova , D.V. , Sukhov , A.M. , et al. Composite Distribution for One-Way Packet Delay in the Global Network Proc. 2016 24th Telecommunications Forum (TELFOR) Belgrade, Serbia November 22-23 2016 1 4
- Popoola , J. , Popoola , O. , and Olaniran , O.R. An Approximate Performance of Self-Similar Lognormal M 1 K Internet Traffic Model Journal of Science and Technology 11 2 2019 36 42
- Wang , C. , Guan , X. , Qin , T. et al. Modeling Heterogeneous and Correlated Human Dynamics of Online Activities with Double Pareto Distributions Information Sciences 330 2016 186 198
- Xu , W. , Omar , H.A. , Zhuang , W. et al. Delay Analysis of In-Vehicle Internet Access Via On-road WiFi Access Points IEEE Access 5 2017 2736 2746
- Zheng , Y. 2018
- Zhang , Y. , Lu , S. , Yang , Y. et al. Internet-Distributed Vehicle-in-the-Loop Simulation for HEVs IEEE Transactions on Vehicular Technology 67 5 2018 3729 3739
- Naets , F. , Geysen , J. , Desmet , W. An Approach for Combined Vertical Vehicle Model and Road Profile Identification from Heterogeneous Fleet Data Proc. 2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Graz, Austria November 4-8 2019
- Liu , M. , Teng , Y. , Yu , F.R. , et al. Deep Reinforcement Learning Based Performance Optimization in Blockchain-Enabled Internet of Vehicle Proc. 2019 IEEE International Conference on Communications (ICC) Shanghai, China May 20-24 2019
- Albers , A. , and Düser , T. Implementation of a Vehicle-in-the-Loop Development and Validation Platform Proc. the FISITA World Automotive Congress Budapest, Hungary May 30-June 4 2010 F2010-C-177
- Albers , A. , Behrendt , M. , Klingler , S. , et al. Verifikation und Validierung im Produktentstehungsprozess Proc. Handbuch Produktentwicklung München, Germany April 11 2016 541 569
- Zhou , D. , Al-Durra , A. , Matraji , I. et al. Online Energy Management Strategy of Fuel Cell Hybrid Electric Vehicles? A Fractional-Order Extremum Seeking Method IEEE Trans. Ind. Electron 65 2018 6787 6799
- Giordano , G. , Klass , V. , Behm , M. et al. Model-Based Lithium-Ion Battery Resistance Estimation from Electric Vehicle Operating Data IEEE Trans. Veh. Technol 67 2018 3720 3728
- Wu , F. , Yin , G. , and Wang , L.Y. Stability of a Pure Random Delay System with Two-Time-Scale Markovian Switching Journal of Differential Equations 253 3 2012 878 905
- Israel , R.B. , Rosenthal , J.S. , and Wei , J.Z. Finding Generators for Markov Chains via Empirical Transition Matrices, with Applications to Credit Ratings Mathematical Finance 11 2 2001 245 265
- Yuan , X. , Chen , C. , Yuan , Y. et al. Short-Term Wind Power Prediction Based on LSSVM-GSA Model Energy Conversion and Management 101 2015 393 401
- Jinlian , L. , Yufen , Z. , Jiaxuan , L. Long and Medium Term Power Load Forecasting Based on a Combination Model of GMDH, PSO and LSSVM Proc. Chinese Control and Decision Conference Chongqing, China May 28-30 2017 964 969
- Ge , X. , Brudnak , M. , Jayakumar , P. , et al. A Model-Free Predictor Framework for Tele-Operated Vehicles Proc. American Control Conference (ACC) Chicago, USA July 1-3 2015 4573 4578