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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(More)
The energy management of electric vehicles is located in the storage system. It considers only the storage physical constituents and adapts the demand of the drive-chain technologies but is blind to other parts of the vehicle. Furthermore it has a very focused approach - to optimise the vehicle movement - and misses the driver's pragmatical needs. ORQA is a(More)
The development of new automotive functions in a car must comply with the AUTOSAR standard. Such functions are distributed over the ECUs of the car connected with buses. The development of these distributed functions is not easy in AUTOSAR because there is no global view of the system. In this paper we propose an approach that counters this difficulty by(More)
Energy management of electric vehicles has been the focus of recent research to allow optimal engine and battery usage. Many efforts have been realised to use the trip knowledge - or a prediction of it - to provide the best vehicle efficiency. Yet few works take into account the embedded devices and the vehicle global Quality of Service. The ORQA framework(More)
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