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Model Based Design
Component Technologies Impact on Fuel Efficiency
Government Performance Result Act (GPRA)
Powertrain Configuration
Component Requirements
Vehicle Level Control
Cost
Component-in-the-Loop
Model Validation
Light Duty
Heavy Duty

MODEL-BASED DESIGN APPROACH

Autonomie has been designed to be used as a single tool throughout the different phases of Model Based Design of the Vehicle Development Process (VDP). Model-Based Design is a math-based visual method for designing complex control systems and is being used successfully in many motion control, industrial, aerospace, and automotive applications. It provides an efficient methodology that includes four key elements in the development process: modeling a plant (from first principles or system identification), synthesizing and analyzing a controller for the plant, simulating the plant and controller together, and programming/deploying the controller. Model-Based Design integrates all these multiple phases and provides a common framework for communication throughout the entire design process.

The Model-Based Design paradigm is significantly different from traditional design methodology. Rather than using complex structures and extensive software code, designers can formulate advanced functional characteristics by using continuous-time and discrete-time computational building blocks. These models and associated simulation support tools can provide rapid prototyping, virtual functional verification, and software testing and hardware/software validation. Model-Based Design is a process that enables faster, more cost-effective development of dynamic systems, including control systems, signal processing, and communications systems. In Model-Based Design, a system model is at the center of the development process, from requirements development, through design, implementation, and testing. The control algorithm model is an executable specification that is continually refined and elaborated throughout the development process.

Model-Based Design allows one to improve efficiency by:

  • Using a common design environment across project teams
  • Linking designs directly to requirements
  • Integrating testing with design to continuously identify and correct errors
  • Investigating the effects of variation on system performance and robustness
  • Refining algorithms through multi-domain simulation
  • Automatically generating embedded software code
  • Developing and reusing test suites
  • Automatically generating documentation
  • Reusing designs to deploy systems across multiple processors and hardware targets

 

Next: Different Phases of Model-Based Design >

 


PUBLICATIONS

Automated Model Based Design Process to Evaluate Advanced Component Technologies (pdf)

Hardware Evaluation in System Context (pdf)

 
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