Faster plant models for SiL and HiL
Modern motion-control applications such as active suspension, brake-by-wire, and integrated vehicle dynamics depend on accurate plant models for simulation and validation. The challenge is that conventional physics-based modeling is slow to build, hard to recalibrate for each test scenario, and often struggles to represent the nonlinear behavior engineers see in real measurements. That becomes a real bottleneck when teams want to frontload validation and run meaningful SiL and HiL testing earlier in development.
Key challenges
High manual modeling effort
Building and updating physics-based plant models takes significant time, requires deep domain expertise, and creates rework when requirements change.
Nonlinear behavior gap
Hand-built models often miss real system effects visible in measurement data.
Variant overhead
Different test targets need different model behavior, but manual recalibration does not scale.
Delayed frontloading
Missing real-time capable models slows SiL and HiL validation.
Your benefits
Cut model creation time dramatically
Move from months of manual modeling effort to a workflow measured in days.
Improve simulation realism
Build models from real measurement data to capture nonlinear system behavior more accurately.
Frontload validation effectively
Give SiL and HiL teams usable plant models earlier and reduce reliance on physical prototypes and test benches.
Generate variants faster
Create calibrated model versions for different test scenarios with an automated, repeatable process.
Knowledge base
Our Knowledge base is your central hub for practical guidance and expertise. It provides in-depth insights into automotive software and engineering, equipping you with the practical information you need to succeed.
