ORQA: Modeling Energy and Quality of Service within AUTOSAR Models

Borjan Tchakaloff 1, 2, * Sébastien Saudrais 2 Jean-Philippe Babau 1
* Auteur correspondant
1 Lab-STICC_UBO_CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance, UBO - Université de Brest
Abstract : Electric vehicles embed a low amount of energy, so their devices need to be managed efficiently to optimize the vehicle autonomy. A vehicle management is achieved by the embedded systems, modeled following the AUTOSAR standard. AUTOSAR covers most of the automotive concerns, but it lacks energy consumption and user-oriented Quality of Service models. This paper presents ORQA, a framework to model and manage the electric vehicle devices through energy consumption and user-oriented Quality of Service. At design time, the architects choose and tune the actual vehicle device models through their power requirements and, if appropriate, quality levels. The generated implementation is then embedded in the existing AUTOSAR models. Thus, at run-time, the vehicle's system is able to evaluate the global consumption of a trip and to propose the user a specific driving strategy. The optional devices are managed throughout the trip, based on the driver preferences. ORQA is illustrated with a classic use-case: a work to home trip.
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Communication dans un congrès
Quality of Software Architectures (QoSA), Jun 2013, Vancouver, Canada. ACM, New York, NY, USA, pp.Pages 3-12, 2013, QoSA'13 Proceedings of the 9th international ACM Sigsoft conference on Quality of software architectures. 〈10.1145/2465478.2465488〉
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Dernière modification le : mardi 16 janvier 2018 - 15:54:23
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Borjan Tchakaloff, Sébastien Saudrais, Jean-Philippe Babau. ORQA: Modeling Energy and Quality of Service within AUTOSAR Models. Quality of Software Architectures (QoSA), Jun 2013, Vancouver, Canada. ACM, New York, NY, USA, pp.Pages 3-12, 2013, QoSA'13 Proceedings of the 9th international ACM Sigsoft conference on Quality of software architectures. 〈10.1145/2465478.2465488〉. 〈hal-00852862〉

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