Edocti Training

Stateflow for Automotive Applications

Name: Stateflow for Automotive Applications
Rating: 4.9 (93 reviews)

Intermediate

7 h

4.9 (93 reviews)

Scheduled sessions

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Stateflow for Automotive: Design and implement highly robust state machines for control logic and complex diagnostics on ECUs.

Master the use of events, transitions, guard conditions, and temporal logic to build deterministic behavior.

Implement hierarchical and parallel states, debouncing logic, and industry-standard mode management patterns.

Gain practical experience: ~70% of the training consists of hands-on labs focused on modeling, simulating, and debugging real-world ECU behaviors.

How this helps: Construct clear, testable, and maintainable logic that integrates seamlessly with Simulink and production code generation.

Who it’s for: Control and embedded engineers, as well as MBD teams, looking for solid practical skills in Stateflow.

The course includes essential verification tips (coverage, assertions) and integration with Simulink Test tools.

Skills You Will Learn

Stateflow Charts Hierarchical & Parallel States Temporal Logic Patterns Mealy & Moore Machines Truth Tables & Logic ECU Debugging & Simulation Model Verification Basics Code Generation Prep

Curriculum

Building models with Simulink

Simulink introduction; workspace and signal basics
Implement a simple model; simulate and analyze outputs

State machines with Stateflow

States and transitions; initialization and execution order
State actions (entry/during/exit) and transition actions
Events (broadcast/local) and temporal logic (after, every, at)
Hierarchy, parallel states and history junctions

Flow charts

Junctions and transitions; chart execution semantics
Conditions and guards; data scope and typing
Mealy vs. Moore style charts; when to choose each

Discrete systems

Discrete states and sample times; rate transitions
Discrete transfer functions and state-space models
Fixed-step simulation tips for deterministic behavior

Continuous systems

Continuous states; modeling patterns
Zero-crossings and stiffness; avoiding solver chattering
Variable-step simulation tips

Solver selection

Match solver to system dynamics and discontinuities
Recommended settings for mixed discrete/continuous models

Integration patterns & testing

Function-call subsystems; integrating charts with plant/control models
Bus objects, enumerations and data dictionaries
Lightweight test harnesses and coverage (overview)

Course Day Structure

Part 1: 09:00–10:30
Break: 10:30–10:45
Part 2: 10:45–12:15
Lunch break: 12:15–13:15
Part 3: 13:15–15:15
Break: 15:15–15:30
Part 4: 15:30–17:30