
Learn system modeling for automotive engineering using model-based system engineering, model-based enterprise, and SysML to read, interpret, and analyze automotive system diagrams and their financial and operational implications.
Meet Mehdi, a battery system engineer with a background in energy engineering and automotive electrification, bridging theory and practice in energy systems, electric mobility, and vehicle architecture.
Explore automotive system engineering from fundamentals to model-based system engineering (MBSE) and model-based enterprise (MBE), and study system modeling language and CAMIL, with quizzes and bonus resources.
Explore how systems engineering drives automotive design through model-based approaches (MBSE and MBE) using SysML and Cameo for hands-on vehicle system modeling, design, and optimization.
Master automotive systems engineering by mapping the V-cycle, defining system boundaries and interfaces, and analyzing a high-voltage battery system with its BMS for performance, safety, and lifecycle value.
Define system boundaries to specify inputs, outputs, ownership, and validation, reducing complexity and risk; use SysML/UML to model interfaces for clear, traceable collaboration.
Systems engineering unifies vehicle design into a cohesive, reliable, and safe product by tracing requirements across the life cycle and balancing mechanical, thermal, electrical, and environmental domains, using the V-model.
Walk through a high voltage battery case study for an electric vehicle, applying the 11-step v-model from concept to commissioning, detailing bms, cooling, and safety-driven design, verification, and validation.
Invest in clear requirements and architecture to reduce rework, shorten time to market, and lower life-cycle costs through a rigorous V-cycle in automotive systems engineering.
Systems engineering provides a structured method to manage complexity and risk across a vehicle’s lifecycle, leveraging the V development cycle and ISO 26262 to reduce costs and time to market.
Explore how model-based systems engineering shifts from document-centric to model-centric practices, using MBSE frameworks, model types such as requirement structure, behavior, and interaction models to support automotive product development.
Explore MBSE frameworks and methodologies, including the INCOSE Systems Engineering Handbook and LMS ImagineLab, to model requirements, define architecture, and verify designs in automotive projects.
Explore MBSE model types, including behavioral models with state machine and activity diagrams, structural models with block definitions, parametric, requirement, and interface models, and how they support design and validation.
Model-based systems engineering (mbse) shifts from documents to a model-centric approach, enabling earlier issue spotting, better decisions, and traceability from requirements to tests using INCOSE frameworks, the vModel, and Agile.
Explore model-based enterprise (MBE) concepts that use shared digital models across the product lifecycle, improving collaboration, quality, and speed in automotive design, manufacturing, and supply chain.
Adopting model-based engineering (MBE) faces resistance to change, data integration across CAD, PLM, and ERP, security concerns, and training needs, while delivering faster time-to-market, sustainability, and improved collaboration.
BMW and Tesla demonstrate model-based engineering with digital twins, CAD-linked PLM, and real-time collaboration to accelerate design and production. OTA updates enable rapid prototyping and continuous improvement across development.
Leverage MBE to integrate digital models across the product lifecycle, enabling seamless collaboration and data consistency, driving faster time-to-market, virtual testing, early flaw detection, and improved quality.
Explore SysML and UML, their diagram types and the four pillars: behavior, structure, requirement, and parametric, and learn MBSE with Cameo for automotive system design.
Explore how SysML supports MBSE and data models to define system architecture, behavior, and relationships. See the three data model stages: conceptual, logical, physical, for traceability, reuse, and compliant documentation.
Explore the free CAMEO enterprise architecture reader for SysML and MBSC models, enabling diagram viewing and end-to-end traceability with integrated requirement management.
Explore a SysML-based case study of hybrid powertrains in sport utility vehicles, modeling activity, parametric, and block diagrams to analyze fuel efficiency, battery life, and emission.
SysML enables model-based system engineering in automotive design by unifying structure, behavior, and requirements into a model, boosting traceability and decision-making, with Cameo Enterprise Architecture Reader for simulation and visualization.
Conclude your automotive systems engineering journey by reflecting on MBSE, MBE, SysML, UML, and CAMIL topics. Revisit videos as needed, keep asking questions, and stay curious as automotive engineering evolves.
This comprehensive course provides an in-depth understanding of designing, optimizing, and validating automotive systems, with a particular focus on vehicle development and hybrid powertrain. You will master SysML for modeling system behavior, structure, and requirements, as well as gain hands-on experience with Cameo Enterprise Architecture, a leading tool for MBSE.
We’ll walk you through the V cycle process, emphasizing system requirements, design, integration, and validation. Learn how to apply MBSE to real-world challenges such as high-voltage battery systems and powertrain architecture. Explore how MBSE enhances system integration, reduces errors, and accelerates decision-making across the lifecycle of a product.
Through detailed case studies, you’ll understand the business impact of adopting MBSE and how it contributes to creating more efficient, reliable, and cost-effective vehicles. Whether you’re an aspiring automotive engineer, a systems engineer looking to specialize in electric vehicles, or a professional wanting to enhance your MBSE skills, this course will equip you with the practical knowledge and tools needed to tackle complex automotive system design challenges and and modeling of automotive systems.
By the end of this course, you’ll be prepared to confidently apply MBSE techniques to automotive projects, enhancing your ability to design, analyze, and optimize systems in the rapidly evolving automotive world.