How much do you know about Model-Based Design for power electronics systems?

Designing systems using models only for simulation

The systematic use of models throughout the development process, from requirements specification to system operation

A block diagram approach to solving a problem

Generating code from simulation models

A complex electrical switching system, including the power electronics, passive circuit elements, and control algorithms for simulation and code generation

A virtual system to discover integration issues between models of power sources, loads, electrical components, and control algorithms

A digital twin of the electrical system to optimize operation, detect faults, etc.

All of the above

You can generate optimized C/C++ and HDL code for control algorithms for real-time testing and directly targeting microcontrollers, FPGAs and SOCs

You can generate C/C++ and HDL code for the plant model for Hardware-in-the-loop testing

You cannot generate code, Model-Based Design only supports simulations

Providing hardware prototypes that are already built for your project

Enabling use of fewer and less expensive components by using simulation to make informed design decisions

Reusing models to adapt to different designs and regenerating code for a new specification

Reducing number of hardware prototypes through SIL, PIL and HIL testing

Sizing active and passive components of your design

Gaining understanding of interactions between control algorithms and power electronics converters through closed loop simulation

Reducing development time by verifying functionality of controllers and generating code from simulation models optimized for embedded controllers

All of the above

True

False

Existing code cannot be used with Model-Based Design, you must re-do the algorithm in Simulink

Only C/C++ code written after 2020 can be integrated

Existing C/C++ code can be integrated in your models for simulation, verification, and code generation

Existing C/C++ can only be integrated in your models for simulation

Unit testing

Coverage analysis and test case generation

Design error detection (e.g., dead logic, integer overflow, divide by zero)

Standards compliance checking

All of the above

Progression from one phase to the other using the Waterfall approach

Continuous integration for automatic testing and verification of models and code

Middleware integration for data management in distributed applications

Process modeling for alignment with the RAD model

True

False