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While the European regulation on the end-of-life vehicle is more and more strict, the introduction of innovations makes the material composition of vehicles evolve and can lead to a risk for approval on the recoverability of the vehicle. We set up a preventive tool named OSIRIS to evaluate the impact of an innovation on the recyclability rate of a vehicle. The innovation teams and the vehicle project leaders may obtain a tendency of this impact. It is supported 1) by a modular point of view of the vehicle, 2) by a simplifying assumption for fixing a module, and 3) on a management of the end-oflife options. By testing this approach on a hybrid motorization, we show that the uncertainty resulting from the simplifying hypothesis is less than 0.20% when the initial and innovative solutions have a mass difference less than 40-60 kg. 1 Context Since the end of the 90's, the car has become one of the most regulated products, for example on pollutants (European Parliament, Council, 2007) and carbon dioxide emissions (European Parliament, Council, 2009) during the use. The analysis of (Schipper, 2011) shows that, since the 80's, in spite of the reduction of fuel consumption relative to the vehicle mass, the vehicle mass and power have never stopped to increase because of the rise in the levels of service expected by the customer. According to

International audienceThe automotive product is increasingly restricted by environmental regulations, including reducing emissions of CO2 and pollutants in exhaust pipes of vehicles. One solution implemented in the automotive industry are plug-in hybrid electric vehicles (PHEV) that use an electric traction battery. To help vehicle manufacturers in their choice of traction battery from an environmental point of view, a simulation method of environmental impacts generated by the use phase is proposed in this paper. This method takes into account the possible usages of the vehicle and potential developments of electric mix, with the formulation of a constraint satisfaction problem (CSP) solved using constraint programming (CP) techniques. The sensitivity of five parameters is investigated: the electricity mix used to charge the battery, the battery mass, electric consumptions, the autonomy in " all-electric mode " , and the share of total travel in " all-electric mode ". Power grid is the most differentiating parameter for global warming and PHEV generates less impact if less used in " all-electric mode " on a high carbon intensity power grid. Lastly, CSP acausal modeling makes it possible to process different simulations with the same model

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