This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Virtualization X Real Component: The Advantages of System Modeling on the Automotive Development Process
Technical Paper
2017-36-0229
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
The automotive industry has been facing a great challenge on the current market. With the rapid advance of technology and the growth complexity of its projects, one question comes up: how to speed up development time, while increasing options for the products, maintaining the quality and keeping the competitiveness at the same time? The answer for this question is not easy and can include several decisions and actions in the whole development process. In this context, partial system virtualization, or even a complete virtualization of systems included in a vehicle, can be used as an important tool to help answer the mentioned question. In other words, the usage of modeled components can help decrease the development time and increase product quality. Besides, this virtualization can be used on different steps during the development of new products or even for the maintenance of those already on the market. There are several decisions associated with this virtualization that needs to be taken into account in order to balance the cost benefit ratio, such as: 1) which development phase the models will be used; 2) how accurate the models needs to be; 3) will it use only models, only real components or a mix between them; In other words, the requirements of these tools are intrinsically related with the development phase, such as concept, prototyping, test, validation and so on. In this context, this article will discuss aspects that needs to be considered when the requirements of automotive systems virtualization are defined. Some examples will be presented to illustrate how these models can be used and how they can help in the automotive development process.
Authors
- Jeeves Lopes dos Santos - FCA - Fiat Chrysler Automobiles
- Gabriela Vieira - FCA - Fiat Chrysler Automobiles
- Felype Nery de Oliveira Vasconcelos - FCA - Fiat Chrysler Automobiles
- Elaine Cristina Guglielmoni Silva - FCA - Fiat Chrysler Automobiles
- André Rolim Almeida Guimarães - FCA - Fiat Chrysler Automobiles
- Marcel Liberato Queda - FCA - Fiat Chrysler Automobiles
Citation
Santos, J., Vieira, G., de Oliveira Vasconcelos, F., Silva, E. et al., "Virtualization X Real Component: The Advantages of System Modeling on the Automotive Development Process," SAE Technical Paper 2017-36-0229, 2017, https://doi.org/10.4271/2017-36-0229.Also In
References
- Palma , A. and Esposito , C. The HCCI Concept and Control, Performed with MultiAir Technology on Gasoline Engines SAE Technical Paper 2011-24-0026 2011 10.4271/2011-24-0026
- Broy , M. , Kirstan , S. , Krcmar , H. , Schätz , B. at al. What is the benefit of a model-based design of embedded software systems in the car industry? Chapter of Software Design and Development: Concepts, Methodologies, Tools, and Applications 2013
- Definition of system Merriam-Webster Springfield, MA, USA Retrieved 2017 05 09
- Karlsson J. and Ryan K. A cost-value approach for prioritizing requirements IEEE Software 14 5 67 74 Sep Oct 1997 10.1109/52.605933
- Boehm , B. , Clark , B. , Horowitz , E. , Westland , C. , Madachy , R. , & Selby , R. 1995 Cost models for future software life cycle processes: COCOMO 2.0 Annals of software engineering 1 1 57 94
- Balaji , S. , & Murugaiyan , M. S. 2012 Waterfall vs. V-Model vs. Agile: A comparative study on SDLC International Journal of Information Technology and Business Management 2 1 26 30
- Schwaber , K. , & Beedle , M. 2002 Agile software development with Scrum (Vol. 1) Upper Saddle River Prentice Hall
- Boehm , B. W. 1988 A spiral model of software development and enhancement Computer 21 5 61 72
- Kwon , W. H. , & Choi , S. G. 1999 Real-time distributed software-in-the-loop simulation for distributed control systems Computer Aided Control System Design, 1999. Proceedings of the 1999 IEEE International Symposium on 115 119 IEEE
- Jiang , Z. , Leonard , R. , Dougal , R. , Figueroa , H. , & Monti , A. 2004 June Processor-in-the-loop simulation, real-time hardware-in-the-loop testing, and hardware validation of a digitally-controlled, fuel-cell powered battery-charging station Power Electronics Specialists Conference, 2004. PESC 04. 2004 IEEE 35th Annual 3 2251 2257 IEEE
- Franklin , G. F. , Powell , J. D. , & Workman , M. L. 1998 Digital control of dynamic systems (Vol. 3) Menlo Park Addison-wesley
- Soe , K. Driveable Automotive Electrical & Electronics Test-Board SAE Technical Paper 2017-01-1681
- Stefania , Spada et al. FCA Ergonomics Proactive Approach in Developing New Cars: Virtual Simulations and Physical Validation Advances in Applied Digital Human Modeling and Simulation Springer International Publishing 2017 57 63
- Trajkovic , S. , Tunestål , P. , & Johansson , B. 2009 Simulation of a pneumatic hybrid powertrain with VVT in GT-power and comparison with experimental data (No. 2009-01-1323 ). SAE Technical Paper
- King , A. J. 2002 A turbocharger unsteady performance model for the GT-Power internal combustion engine simulation
- Li , S. , Stapelbroek , M. , and Pfluger , J. Model-in-the-Loop Testing of SOC and SOH Estimation Algorithms in Battery Management Systems SAE Technical Paper 2017-26-0094 2017 10.4271/2017-26-0094
- Schmied , R. , Obereigner , G. , and Waschl , H. Analysis and Adaptive Estimation of Human Car Following Behavior for Advanced Driver Assistance Systems SAE Technical Paper 2017-01-0044 2017 10.4271/2017-01-0044
- Shahbaz , Muzammil , and Eschbach Robert Reverse engineering ECUs of automotive components: a case study Proceedings of the First International Workshop on Model Inference In Testing ACM 2010