The following is an excerpt from “The Next Big Thing In Automobiles” session presented by Manfred Broy from the Technical University at Munich and Dominik Ruechardt from PTC at LiveWorx 17.  The presentation PDF can be downloaded here, and the audio file is here.

Automotive Industry Challenges

The automotive industry is moving from just physical products to physical and digital products.  A look at some challenges facing the automotive industry:

  • From 2010 till 2025: the role of software increases from 15% of the development effort to 30% and more
  • Software volume, complexity, and costs explode
  • New functionality
    • Connectivity
    • Autonomous driving
  • New engineering paradigms
    • Functionality: services
    • Architecture: layered service-oriented architecture
    • Systematic deployment
  • Requirements
    • Variability
    • Reuse
    • Quality

Model Based Systems Engineering

Model Based Systems Engineering is the next big engineering paradigm after the commercial introduction of CAD.

Cars are “cyber-physical systems” – systems with embedded software which:

  • Directly record physical data using sensors and affect physical processes using actuators;
  • Evaluate and save recorded data, and actively or reactively interact both with the physical and digital world;
  • Are connected with one another and in global networks via digital communication facilities (wireless and/or wired, local and/or global);
  • Use globally available data and services;
  • Have a series of dedicated, multimodal human-machine interfaces

The key properties and challenges associated with cyber-physical systems include:

  • Physicality
    • Real-time
    • Probability
    • Real-world awareness
  • Connectivity –systems get connected
    • To context systems
    • To cloud services
  • Systems of systems
    • Sub-system decomposition
    • Service decomposition
  • Interoperability
    • Service platforms
  • Safety
  • Openness
    • Security
  • Quality
    • Reliability
  • HMI
    • Human Centric Engineering
  • Dynamicity of systems
    • Dynamic interfaces
    • Dynamic architectures
    • Dynamic change of behavior (adaptivity)
  • Mobile systems
    • Space awareness

What is Needed for Digital Engineering of Cars?

  • Comprehensive product models (products are CPSs)
  • Modelling system structure and behavior
    • Structure: syntactic interfaces and architectural structure –syntactic consistency
    • Behavior: interaction over interfaces –validation, simulation, verification
  • Modular system composition
  • Seamless model based development
    • Semantic coherence
  • Context modelling
  • Tracing
  • Comprehensive tool support
  • Expressiveness
  • Flexibility and agility

Learn how system models take their roles as communication platforms for all engineering disciplines when developing multi-disciplinary systems by reading the presentation PDF here, and listening to the the audio file here.

 For more great content like this, register for LiveWorx 2018, June 17-20 in Boston!