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The V-Cycle is a well accepted and commonly implemented process model for systems engineering. The concept phase is represented by the upper-left portion of the V, in which very high level system simulations are the predominant modeling activity. Traveling down the V toward the vertex, sub-system level and component level simulations are employed as one enters the development phase. Finally, the test and validation phase is completed, and is represented by the right side of the V. Simulation tools have historically been used throughout some phases of the V-cycle, and with the ever increasing computing power, and the increasingly accurate and predictive simulation tools available to the engineer, today it is common that simulation is used in every phase of the cycle, from concept straight through the test and validation phases.

Model portability, model fidelity and Real-Time capability are becoming critical requirements in the new era of virtual engineering. These characteristics provide the foundation to ensure continuity, reliability, and scalability both for physical and control model representations, along all the product development phases. The adoption of the digital twin model design is key to enhancing the pre-concept phase, to anticipating possible issues, to being competitive in the time-to-market especially for high performance BEV vehicles. Novel simulation methodologies have been developed in a joint effort between Maserati and Gamma Technologies with the aim of reducing computation time and of preserving model fidelity.

An increasing demand for reducing cost and time effort of the design process via improved CAE (Computer-Aided Engineer) tools and methods has characterized the automotive industry over the past two decades. One of the main challenges involves the effective simulation of a vehicle’s propulsion system dealing with different physical domains: several examples have been proposed in the literature mainly based on co-simulation approach which involves a specific tool for each propulsion system part modeling. Nevertheless, these solutions are not fully suitable and effective to perform statistical analysis including all physical parameters. In this respect, this paper presents the definition and implementation of a new simulation methodology applied to a propulsion subsystem.