How Much Do You Know About Modeling Fuel Cells? 

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

Automatically generating code from simulation models

A detailed fuel cell system that includes a membrane electrode assembly, a multispecies gas network, and a thermal management system

A powertrain model of a fuel cell virtual vehicle that combines a fuel cell, a battery system, and an electric motor

A digital twin of the fuel cell system to monitor key output characteristics and optimize operation

All of the above

Selecting and sizing components of your design

Designing and validating control algorithms for thermal, humidity, and pressure management even before hardware is available

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

All of the above

You can generate optimized C/C++ code or structured text for fuel cell control algorithms and directly target microcontrollers and PLCs

You can generate C/C++ code for the fuel cell plant model for hardware-in-the-loop testing

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

Making informed design decisions about component selection and sizing by using simulations

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

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

Providing hardware prototypes that are already built for your project

True

False

Existing code cannot be used with Model-Based Design; you must redo the algorithm in Simulink^®

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

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

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

Requirements traceability

Standards compliance checking

Coverage analysis and test case generation

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

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

Pressure-reducing valve subsystem

Recirculation subsystem

Coolant tank subsystem

Gas channels subsystem

All of the above