Model-Based Development in Automotive with MATLAB & Simulink

Master Simulink signal blocks like constant block, step, pulse generator, and signal builder to create fixed values, time-based, and custom signals for testing and prototyping.

Explore the data type conversion block to change a signal from double to int8, and manage rounding, overflow, and saturation for automotive models.

Use the signal conversion block to alter signal interpretation in Simulink, turning signals into a non-virtual bus, scalar, or vector for clearer logging and robust model behavior.

Explore the not block in Simulink and learn to invert a logical signal, turning true into false and vice versa, with an automotive seatbelt warning light example.

Explore the xor block in Simulink, which outputs true only when exactly one of two inputs is true. An automotive light example shows exclusive control and toggle behavior.

Learn how if blocks and if action subsystems decide electric vehicle drive modes by battery level, activating performance above 80%, normal between 13% and 80%, or eco below 30%.

Trigger blocks monitor signal changes and fire subsystems only on rising, falling, or either edges. Use a unit delay and a relational operator to detect changes.

Explore the signal dictionary file, a single source of truth in Simulink that standardizes input and output signals, supports modeling and code generation, and enhances traceability across automotive projects.

Set the model to a fixed-step discrete solver with a 10 ms sample time, then implement initialization using unit delay and ROM-based parameters for enumerations and bus signals.

Implements a functional requirement that synchronizes four internal parameters with input signals on every execution cycle, updating cabin temperature, humidity, solar load, and fan mode.

Implement defrost mode logic by using an update flag to propagate current command or fall back to last valid value or defaults when signals are missing, rejected, or confirmed.

Learn how to generate C or C++ code from Simulink models using Simulink Coder, configure code generation for embedded targets, and verify functional equivalence by comparing model and code.