Automotive

XiL Engineering for virtual ECU validation

XiL engineering for virtual ECU validation

Modern vehicle development depends on being able to validate ECU software before all physical components and complete vehicle networks are available. Rest-bus simulation makes this possible by simulating missing network participants so that the control unit under test or the function under test can be evaluated in realistic test environments. 

For a premium automotive development program, VAIVA supported the analysis, concept, implementation, and validation of rest-bus models for simulated ECUs across various vehicle platforms. The work covered functional logic, signal chains, control behavior, and the physical behavior of vehicle systems. 

The models were used in Virtual Test Drive environments, offline simulations, and at SiL/HiL test benches. This enabled development teams to validate functions earlier, analyze issues faster, and reuse simulation assets across different test stages. This aligns with established XiL practice, where standards such as ASAM XIL support the reuse and transfer of test cases across MiL, SiL, HiL, and other test systems. 

VAIVA also implemented control chains for speed control, lateral dynamics, and trajectory tracking. In parallel, our team supported fault analysis and issue resolution for virtual vehicle and environment models — both offline and directly at the test bench. 

To improve release efficiency, VAIVA redesigned the Virtual Test Drive TestSuite for module and release tests and automated the release process for vECU adapters used in SiL simulation. Supporting tools such as a ModelGenerator helped standardize recurring engineering tasks and reduce manual effort. 

The results: A robust XiL engineering setup for virtual ECU validation with reusable rest-bus models, automated release workflows, and faster issue resolution across SiL and HiL environments. 

Capability Highlights 

  • Restbus Model Engineering 
    Analysis, concept, implementation, and validation of simulated ECU logic and chains of effect across vehicle platforms 

  • Vehicle Dynamics and System Modelling 
    Modeling the physical behavior of vehicles and system interactions for realistic virtual validation

  • SiL/HiL Issue Resolution 
    Fault analysis and correction of Virtual Test Drive rest-bus models offline and at SiL/HiL test benches

  • Control Chain Implementation 
    Development of control logic for speed control, lateral dynamics, and trajectory tracking

  • Virtual Test Drive TestSuite Development 
    Redesign of test suites for module tests, release tests, and recurring validation workflows

  • vECU Adapter Release Automation 
    Automation of release processes for virtual ECU adapters in SiL simulation

  • Engineering Tool Development 
    Development and support of productivity tools such as a ModelGenerator to standardize and accelerate model creation or VPFBasis for creating simulation environments and interfaces

  • Testbench Toolchain and Sensor Injections 
    Successful delivery of HiL test bench solutions for environment simulation and sensor injection using proven frameworks such as FEP and ROS

  • CI/CD/CT-supported Virtual Validation Workflows 
    Integration of automated SiL/HiL validation and regression testing into continuous integration, continuous delivery, and continuous testing pipelines to accelerate software releases and increase validation efficiency

  • Software-defined Vehicle Development Support 
    Support for SDV-oriented development through scalable virtual ECU validation, reusable simulation assets, and automated virtual test workflows

  • End-to-end Virtual Validation Framework 
    Building a scalable framework for developing, integrating, and validating functions, simulated ECUs, and complete vehicle models in a unified virtual development workflow

Read more

Defence

Secure Software Delivery for mission-critical defence systems

Mission systems, autonomy functions, optronics, support tools, embedded controllers, and digital interfaces must be developed and maintained under conditions that require both cyber resilience and engineering discipline.

Defence

Realistic perception before field deployment

Sensor-based defence functions are only as reliable as the perception on which they are built. Whether it is counter-UAS, force protection, reconnaissance, autonomous mobility, or optronic target acquisition and sighting systems: development teams must understand how their systems behave before physical tests are available and before costly test campaigns begin.

Defence

Intelligent networking for secure mobility

Protected mobility platforms must be able to perceive, interpret, and respond to their environment, even where human vision is limited and the complexity of sensor systems increases.

Defence

Secure Software Delivery for mission-critical defence systems

Mission systems, autonomy functions, optronics, support tools, embedded controllers, and digital interfaces must be developed and maintained under conditions that require both cyber resilience and engineering discipline.

Defence

Realistic perception before field deployment

Sensor-based defence functions are only as reliable as the perception on which they are built. Whether it is counter-UAS, force protection, reconnaissance, autonomous mobility, or optronic target acquisition and sighting systems: development teams must understand how their systems behave before physical tests are available and before costly test campaigns begin.

Bring engineering maturity to your defence programs.

Speak with our Defence team — we bring an engineering standard from series development into your program and adapt it to your mission logic.

Bring engineering maturity to your defence programs.

Speak with our Defence team — we bring an engineering standard from series development into your program and adapt it to your mission logic.

Bring engineering maturity to your defence programs.

Speak with our Defence team — we bring an engineering standard from series development into your program and adapt it to your mission logic.