The Growing Demand For Model-Based Development (MBD) Engineers In Automotive
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The Growing Demand For Model-Based Development (MBD) Engineers In Automotive

Posted on by Chetan Shidling

Hello guys, welcome back to our blog. In this article, I will discuss the growing demand for model-based development (MBD) engineers in the automotive.

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Growing Demand For Model-Based Development (MBD) Engineers

The automotive industry is undergoing a rapid transformation driven by electrification, automation, and stringent safety regulations. Model-Based Development (MBD) has emerged as a crucial methodology in modern automotive engineering, allowing companies to accelerate development cycles, enhance safety, and reduce costs. This article explores the growing demand for MBD engineers in the automotive industry, their roles, required skills, and how aspiring engineers can build a successful career in this field.

With increasing complexity in automotive systems, there is a pressing need for highly skilled engineers who can design, develop, and validate control systems efficiently. Companies worldwide are embracing MBD to optimize their workflows, reduce development times, and ensure compliance with evolving industry standards. The demand for MBD engineers has grown exponentially, and this trend is expected to continue as automotive technology advances.

Understanding Model-Based Development (MBD)

Model-based development (MBD) is a software development methodology that uses models to design, simulate, and verify embedded systems. Unlike traditional coding-based approaches, MBD allows engineers to create graphical representations of control systems, enabling early-stage validation and reducing hardware dependencies.

Model-Based Development (MBD)

Key Benefits of MBD

01. Rapid Prototyping – MBD allows engineers to develop prototypes quickly and refine them through iterative simulations.

02. Reduced Errors – Early-stage validation through simulation minimizes errors before hardware implementation.

03. Improved Collaboration – Teams across different domains (software, hardware, and validation) can collaborate effectively.

04. Cost Efficiency – Reduces the need for extensive physical testing, saving both time and resources.

05. Automated Code Generation – Reduces manual coding efforts and ensures consistency.

06. Compliance with Industry Standards – Ensures adherence to safety and regulatory requirements.

Key Components of MBD

  • MATLAB/Simulink: The primary tool for designing and simulating control models.
  • Stateflow: Used for modeling and simulating complex control logic.
  • Code Generation (Embedded Coder, TargetLink): Automatic generation of production code from models.
  • Hardware-in-the-Loop (HiL) and Software-in-the-Loop (SiL) Testing: Validation of control systems before deployment.
  • MIL, SIL, PIL, and HIL Testing: Different levels of simulation and testing are used in MBD workflows.

Applications of MBD in the Automotive Industry

MBD is widely applied in various aspects of automotive engineering, including:

01. Powertrain Control: MBD plays a significant role in developing advanced powertrain control systems. By using MBD, engineers can optimize engine performance, reduce emissions, and enhance fuel efficiency. Hybrid and electric vehicle powertrains also rely heavily on MBD for efficient energy management.

02. Advanced Driver Assistance Systems (ADAS): MBD is essential in developing ADAS features like adaptive cruise control, lane-keeping assist, and automated emergency braking. Engineers use simulation models to validate these systems before real-world testing.

03. Electric Vehicles (EVs): With the global shift toward electrification, MBD is extensively used in battery management systems, motor control algorithms, and charging infrastructure development. The ability to simulate different driving conditions and energy consumption patterns helps in designing efficient EV powertrains.

04. Chassis Control Systems: MBD enables the development of intelligent braking, suspension, and steering control systems. These systems improve vehicle stability, handling, and safety.

05. Body Electronics: From smart lighting to HVAC control, MBD simplifies the design and integration of various body electronic systems in modern vehicles.

Why is the Demand for MBD Engineers Increasing?

Several factors are contributing to the rising demand for MBD engineers in the automotive sector:

a. Electrification of Vehicles: As OEMs shift to electric powertrains, MBD plays a vital role in developing efficient control strategies.

b. Autonomous Driving Technologies: MBD accelerates the development and validation of ADAS and self-driving algorithms.

c. Shorter Development Cycles: Automakers seek faster and more cost-effective development processes.

d. Compliance with Safety Standards: MBD ensures compliance with ISO 26262 and other industry standards.

e. Growing Complexity in Automotive Systems: Modern vehicles integrate numerous electronic control units (ECUs), requiring advanced simulation and validation techniques.

f. Software-Defined Vehicles (SDVs): The shift toward SDVs requires robust model-based approaches to software development and deployment.

Skills Required for a Career in MBD

Aspiring MBD engineers should develop expertise in the following areas:

  • MATLAB/Simulink and Stateflow: Proficiency in modeling and simulation.
  • Embedded C Programming: Understanding of code generation and optimization.
  • Control System Design: Knowledge of classical and modern control theories.
  • Software Development Lifecycle: Understanding of V-model and Agile methodologies.
  • Automotive Communication Protocols: CAN, LIN, and FlexRay.
  • Testing and Validation Techniques: MIL, SIL, PIL, and HIL testing.
  • Familiarity with Functional Safety (ISO 26262): Ensuring compliance with industry safety standards.
  • AI and Machine Learning Integration: Understanding how AI can enhance MBD applications.
  • Version Control and Configuration Management: Familiarity with Git and other version control tools.

How to Build a Career in Automotive Model-Based Design

01. Educational Background

  • A degree in Electrical, Electronics, Mechanical, or Automotive Engineering.
  • Specialization in control systems, embedded systems, or software engineering.

02. Hands-on Experience

  • Work on real-world MBD projects.
  • Gain experience with MATLAB/Simulink and code generation tools.

03. Certifications and Training

  • MATLAB certifications.
  • Automotive SPICE and ISO 26262 training.

04. Internships and Industry Exposure

  • Seek internships in automotive companies using MBD.
  • Participate in research and development projects.

05. Networking and Professional Development

  • Join industry forums, attend conferences, and connect with professionals in the field.

06. Stay Updated with Industry Trends

  • Follow advancements in electric and autonomous vehicle technologies.
  • Keep up with emerging MBD tools and techniques.

Future of MBD in Automotive Engineering

The future of MBD in automotive engineering looks promising, with continuous advancements in:

  • AI and Machine Learning Integration: Enhancing predictive modeling and automation.
  • Cloud-Based Simulations: Improving collaboration and scalability in development.
  • Digital Twins: Creating real-time virtual replicas of automotive systems.
  • 5G and IoT Connectivity: Enabling remote diagnostics and updates.
  • Edge Computing for Real-Time Control: Bringing faster and more efficient decision-making to automotive systems.

Conclusion

Model-based development is reshaping the automotive industry by streamlining design, testing, and deployment processes. The demand for skilled MBD engineers is rapidly increasing as automakers strive for innovation, efficiency, and safety. By acquiring the right skills, gaining hands-on experience, and staying updated with industry trends, aspiring engineers can establish a successful career in automotive MBD and contribute to the future of mobility.

As the industry evolves, MBD engineers will continue to play a pivotal role in shaping the future of autonomous, connected, and electrified vehicles. With the right knowledge and expertise, engineers can unlock exciting opportunities in this high-demand field.

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Chetan Shidling

Automotive | Technical Blogger | Engineer | Content Creator

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