Giovanni D'Eredita
SimRod E-Powertrain Modelling and Identification.
Rel. Stefano Alberto Malan. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2024
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Abstract
Nowadays, mechatronic systems modelling and identifications methods are go- ing towards more challenging and complex scenarios. Practically, model based testing (MBT) approaches are mostly employed in order to face several kind of requirements and features of specific systems designs. Moreover, generally, the development of these techniques allows to move to new testing methodologies, such as X-in-the-Loop (XiL). Moving to the automotive world and, specifically, to modern electric vehicle (EV) powertrain systems, advanced and complex methods are continuously designed and developed for centering goals in terms of safety and production requirements. Indeed, high reliability with a reduced amount of costs, efforts and time are increas- ingly widespread requirements.
Physical vehicle prototypes testing is an expensive and time consuming process and the instrumentation needed for multi-physical acquisitions is not always easy to implement in on-road test scenarios so that, obviously, virtual approaches are becoming increasingly preferable
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