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Storage Classes in Embedded Coder

Storage ClassGenerated CodeAutomotive Use
Auto (default)Local or internal global; optimised by Embedded CoderInternal signals; no external access needed
ExportedGlobalExtern declaration in .h; definition in .cCalibration parameters (readable by CANape/INCA)
ImportedExternExtern in .h; defined elsewhere (no definition generated)Signals provided by OS, MCAL, or hand-written code
ImportedExternPointerPointer extern; resolved at link timeMemory-mapped hardware registers
FileScopeStatic in .c file; not visible outsideDiagnostics counters; internal state
Custom (CSC)Project-defined section attribute, const qualifier, volatileConst calibration in ROM; safety-critical volatile outputs

Custom Storage Class for Calibration Parameters

MATLABcustom_storage_class.m
% Define custom storage class for calibration parameters
% Target: parameter in ROM, declared as const, accessible via A2L

% In Embedded Coder Dictionary (sldd) or package:
% Custom Storage Class: "CalibrationParameter"
% Properties:
%   Data access: Read-only
%   Storage type: Structured
%   Header file:  "$R_cal.h"     ($R = model root name)
%   Source file:  "$R_cal.c"
%   Memory section: CALIB_ROM    (linker section for ROM)

% Applying to a Simulink.Parameter:
Kp = Simulink.Parameter;
Kp.Value   = 10.0;
Kp.DataType = "single";
Kp.CoderInfo.StorageClass = "Custom";
Kp.CoderInfo.CustomStorageClass = "CalibrationParameter";

% Generated code:
% In SpeedController_cal.h:
% extern const single_T Kp;
% In SpeedController_cal.c:
% const single_T Kp = 10.0F;  /* @CALIB_ROM */
% This value appears in A2L MEASUREMENT/CHARACTERISTIC section
% and is accessible in CANape / INCA for calibration

Key Code Optimization Settings

SettingEffect on CodeWhen to Use
OptimizeBlockIOStorageBlock signals reuse buffers; fewer global arraysAlways in production
LocalBlockOutputsIntermediate signals become stack vars, not globalsAlways (reduces RAM 20-40%)
InlineInvariantSignalsConstant-output blocks inlined as literalsAlways (reduces ROM lookups)
BooleanDataType = onBoolean outputs use bool/uint8, not int32Always (saves RAM; MISRA compliant)
EnableMemcpyLarge struct copies use memcpy (faster on most MCUs)Models with bus assignments; struct copies
GenerateStepFunctionPrototypeCustom step function signatureWhen integrating into existing OS scheduler

Summary

Storage classes control whether generated code variables are internal (optimised away by Embedded Coder), externally visible (readable by calibration tools), or provided by external code (MCAL signals, OS variables). The ExportedGlobal storage class for calibration parameters is the bridge between the Simulink model and the A2L file used by CANape and INCA: every ExportedGlobal parameter appears in the A2L as a CHARACTERISTIC (writeable calibration value) and is accessible for calibration and parameter optimisation on the real vehicle. Getting storage classes wrong produces calibration tools that cannot see the parameters they need to tune - one of the most common integration failures in MBD projects.

🔬 Deep Dive — Core Concepts Expanded

This section builds on the foundational concepts covered above with additional technical depth, edge cases, and configuration nuances that separate competent engineers from experts. When working on production ECU projects, the details covered here are the ones most commonly responsible for integration delays and late-phase defects.

Key principles to reinforce:

  • Configuration over coding: In AUTOSAR and automotive middleware environments, correctness is largely determined by ARXML configuration, not application code. A correctly implemented algorithm can produce wrong results due to a single misconfigured parameter.
  • Traceability as a first-class concern: Every configuration decision should be traceable to a requirement, safety goal, or architecture decision. Undocumented configuration choices are a common source of regression defects when ECUs are updated.
  • Cross-module dependencies: In tightly integrated automotive software stacks, changing one module's configuration often requires corresponding updates in dependent modules. Always perform a dependency impact analysis before submitting configuration changes.

🏭 How This Topic Appears in Production Projects

  • Project integration phase: The concepts covered in this lesson are most commonly encountered during ECU integration testing — when multiple software components from different teams are combined for the first time. Issues that were invisible in unit tests frequently surface at this stage.
  • Supplier/OEM interface: This is a topic that frequently appears in technical discussions between Tier-1 ECU suppliers and OEM system integrators. Engineers who can speak fluently about these details earn credibility and are often brought into critical design review meetings.
  • Automotive tool ecosystem: Vector CANoe/CANalyzer, dSPACE tools, and ETAS INCA are the standard tools used to validate and measure the correct behaviour of the systems described in this lesson. Familiarity with these tools alongside the conceptual knowledge dramatically accelerates debugging in real projects.

⚠️ Common Mistakes and How to Avoid Them

  1. Assuming default configuration is correct: Automotive software tools ship with default configurations that are designed to compile and link, not to meet project-specific requirements. Every configuration parameter needs to be consciously set. 'It compiled' is not the same as 'it is correctly configured'.
  2. Skipping documentation of configuration rationale: In a 3-year ECU project with team turnover, undocumented configuration choices become tribal knowledge that disappears when engineers leave. Document why a parameter is set to a specific value, not just what it is set to.
  3. Testing only the happy path: Automotive ECUs must behave correctly under fault conditions, voltage variations, and communication errors. Always test the error handling paths as rigorously as the nominal operation. Many production escapes originate in untested error branches.
  4. Version mismatches between teams: In a multi-team project, the BSW team, SWC team, and system integration team may use different versions of the same ARXML file. Version management of all ARXML files in a shared repository is mandatory, not optional.

📊 Industry Note

Engineers who master both the theoretical concepts and the practical toolchain skills covered in this course are among the most sought-after professionals in the automotive software industry. The combination of AUTOSAR standards knowledge, safety engineering understanding, and hands-on configuration experience commands premium salaries at OEMs and Tier-1 suppliers globally.

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