Accelerating ESC Software Development with Model-Based Design

As Electronic Stability Control (ESC) systems become increasingly software-driven, automotive OEMs and suppliers face growing pressure to accelerate development while maintaining software quality, traceability, and compliance with industry standards. A global automotive embedded systems supplier partnered with SRM Technologies to modernize its ESC software development lifecycle through a Model-Based Design (MBD) approach.

The initiative focused on transitioning from a code-centric development process to a scalable model-based framework that improves development efficiency, enhances software quality, and streamlines verification activities. The framework enabled the development and validation of ESC algorithms, including wheel-speed processing, vehicle dynamics monitoring, yaw-rate-based stability assessment, and brake intervention control logic.

By leveraging MATLAB®, Simulink®, automated embedded code generation, integrated Model-in-the-Loop (MIL) and Software-in-the-Loop (SIL) validation, coverage-driven verification, and bidirectional traceability, SRM Technologies established a reusable engineering framework that accelerated development activities, improved software quality, and provided a scalable foundation for future ECU software programs.

Business Objectives

Reduce dependency on manual hand-coding practices.
Accelerate software development and validation through automation.
Support development activities aligned with ISO 26262 requirements while adhering to MISRA coding guidelines and MAAB modeling guidelines.
Enable early defect detection and reduce rework effort.
Establish end-to-end traceability across the development lifecycle.
Improve scalability, reusability, and engineering efficiency for future ECU programs.

Solution

SRM Technologies implemented a comprehensive Model-Based Design (MBD) framework to modernize the client’s ESC software development and validation processes.

The solution integrated requirements management, graphical modeling, automated embedded code generation, coverage-driven verification, and automated validation workflows into a unified development framework.

Requirements were managed and linked using Simulink Requirements, enabling bidirectional traceability between requirements, models, generated code, test cases and verification artifacts.

This improved impact analysis, change management, verification coverage, and compliance-related activities throughout the development lifecycle.

Verification activities included model testing, code verification, coverage assessment, and automated regression testing to ensure functional correctness and consistency across development artifacts.

The framework enabled the development and validation of ESC algorithms, including wheel-speed processing, vehicle dynamics monitoring, yaw-rate-based stability assessment, and brake intervention control logic.

Key Highlights

Model-Based Development Framework
ESC Algorithm Development and Validation
Automated Embedded Code Generation using dSPACE TargetLink
Early and Iterative Validation through Model-in-the-Loop (MIL) and Software-in-the-Loop (SIL)
Coverage-Driven Validation using Simulink Coverage to assess execution, condition, and decision coverage
Model quality checks, formal design analysis, and static code verification using Simulink Check, Simulink Design Verifier, and Polyspace tools
Bidirectional Traceability using Simulink Requirements across requirements, models, generated code, test cases, and validation artifacts
Automated Verification and Reporting using BTC EmbeddedTester and MATLAB-based automation utilities
Reusable Development Assets including model templates, software components, test harnesses, automation scripts, and verification utilities
Scalable ECU Software Development Framework

Outcomes

Improved development efficiency through automation and model-based workflows.
Reduced the potential for manual coding errors through automated embedded code generation.
Accelerated issue identification and resolution through integrated MIL and SIL testing workflows.
Strengthened traceability to support safety, quality, and regulatory requirements.
Reduced rework effort through earlier defect detection and continuous verification.
Improved verification completeness through coverage-driven validation activities.
Established a reusable Model-Based Design framework to support future scalability and faster project onboarding.
Enhanced maintainability through standardized development and verification processes.