The development of automotive systems has become more complex due to the growing demand for sophisticated features, the necessity for smooth integration of technology, and faster production schedules, leading to numerous challenges in their development. To tackle some of these challenges, this paper introduces a practical method designed to simplify the early design and assessment stages of complex automotive systems through the use of sophisticated systems engineering methodologies. It details the combination of Systems Modeling Language (SysML) and IBM Rational Rhapsody’s Parametric Constraint Evaluator (PCE) within an improved Model-Based Systems Engineering (MBSE) framework aimed at the development of complex systems. This fusion enables the virtual evaluation of parametric constraints and the analysis of engineering performance for different system configurations, thus enhancing the process of engineering analysis. We demonstrate the practicality and effectiveness of this approach using a generic automotive powertrain case study. This involves modeling a system based on specific requirements and evaluating its performance across predetermined configurations. Furthermore, the versatility of the MBSE framework is highlighted, showing its applicability beyond the automotive industry to encompass a wide range of engineering domains. This study aims to pave the way for more efficient and manageable development processes in the face of growing system complexity.