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The paper presents the driveline models conceived by the author in order to evaluate the main parameters for an optimal tuning of the driveline of a passenger vehicle. The paper deals with a full modal analysis of the contributions of the different parts. The implemented models permit to consider the non-linear driveline dynamics, including the effect of the clutch damper (in terms of non-linear stiffness and variable amplitude hysteresis in the case of the models in the time domain) and the halfshafts, the engine mounting system and the tires. The influence of each component of the driveline on the overall frequency response of the system is presented. In particular, the paper demonstrates that the tire can be modeled like a non-linear damper within the rotational dynamics of the driveline and that it is the fundamental component contributing to the first order dynamics of the transmission.

E-mobility is a game changer for the automotive domain. It promises significant reduction in terms of complexity and in terms of local emissions. With falling prices and recent technological advances, the second generation of electric vehicles (EVs) that is now in production makes electromobility an affordable and viable option for more and more transport mission (people, freight). Current e-vehicle platforms still present architectural similarities with respect to combustion engine vehicle (e.g., centralized motor). Target of the European project EVC1000 is to introduce corner solutions with in-wheel motors supported by electrified chassis components (brake-by-wire, active suspension) and advanced control strategies for full potential exploitation. Especially, it is expected that this solution will provide more architectural freedom toward “design-for-purpose” vehicles built for dedicated usage models, further providing higher performances.

E-mobility is a game changer for the automotive domain. It promises significant reduction in terms of complexity and in terms of local emissions. With falling prices and recent technological advances, the second generation of electric vehicles (EVs) that is now in production makes electromobility an affordable and viable option for more and more transport mission (people, freight). Still, major challenges for large scale deployment remain. They include higher maturity with respect to performance (e.g., range, interaction with the grid), development efficiency (e.g., time-to-market), or production costs. Additionally, an important market transformation currently occurs with the co-development of automated driving functions, connectivity, mobility-as-a-service. New opportunities arise to customize road transportation systems toward application-driven, user-centric smart mobility solutions.