SystemC-AMS for modeling heterogenous systems in automotive domain.

Model-based software design is a fundamental approach used in automotive industry to develop reliable and efficient systems. This thesis explores the integration of model-based software design and the V-cycle methodology, with a specific focus on the application of Model in the Loop (MIL) technique using SystemC-AMS instead of Simulink. My reference case study for the modeling and analysis, providing valuable insights into the benefits and limitations of employing SystemC-AMS in this context. The thesis begins by presenting a comprehensive review of model-based software design principles and the V-cycle methodology, emphasizing their significance in system development. Subsequently, the focus shifts to the utilization of SystemC- AMS as an alternative to Simulink for modeling the semi-active suspension systems. The models developed in SystemC-AMS are compared against their Simulink counterparts, using all fixed-step solvers available in Simulink. Throughout the thesis, specific attention is given to the drawbacks of SystemC- AMS, such as the absence of certain components. By acknowledging these limi- tations, the thesis aims to provide a balanced perspective on the applicability of SystemC-AMS in modeling complex systems. The comparison between SystemC-AMS and Simulink models is carried out under various scenarios using different input stimuli and different solver settings and obtaining the simulation results, Additionally, analytical techniques such as error calculations is employed to further assess the accuracy of SystemC-AMS w.r.t. Simulink in the given conditions. In conclusion, this thesis contributes to the understanding of SystemC-AMS as a potential alternative to Simulink for automotive system modeling. By leveraging a reference model and aligning with Simulink’s modeling rules, the thesis facilitates a meaningful comparison and provides valuable insights for the automotive industry. The findings will aid in the exploration of more advanced modeling techniques and foster the development of efficient and accurate automotive system simulations using SystemC-AMS.