Vehicle Dynamics Simulation Setup Validator
Validate vehicle dynamics simulation setups before runtime execution
What You Can Do
You can perform comprehensive pre-flight validation of vehicle dynamics simulation models, catching ~80% of common configuration errors before execution. The skill analyzes solver configurations, parameter interdependencies, FMU interface specifications, and physical constraints to identify mismatches that typically surface mid-run or produce silent failures. This reduces compute waste, prevents misleading results, and accelerates your simulation workflow by flagging issues in 15-20 minutes of structured validation.
Features
Validates solver selection, step sizing, convergence criteria, and numerical settings against model complexity and desired accuracy
Cross-references tire models, suspension geometry, powertrain specs, and control algorithms for mathematical inconsistencies and unit mismatches
Verifies input/output variable mappings, data type consistency, and causality dependencies across co-simulation boundaries
Detects unphysical parameter values (negative stiffness, impossible tire slip angles, invalid mass distributions) before runtime
Confirms compatibility between integrated components (e-motor controllers, battery thermal models, ABS algorithms, chassis control)
Cross-checks simulation inputs (tire compounds, vehicle mass, terrain types) against model calibration ranges and known failure modes
Produces structured validation reports with prioritized findings and corrective actions
Evaluates whether simulation setup is production-ready for automated batch execution
Example Output
Example 1: Solver Incompatibility Detection
- ⚠️ CRITICAL: Solver step size (0.0001s) incompatible with tire model sample rate
- Tire model requires 0.001s minimum discretization
- Current setting will cause numerical aliasing and divergence
→ Recommendation: Increase step size to 0.001s or reduce tire model bandwidth
Example 2: Parameter Inconsistency
- ❌ ERROR: Suspension stiffness mismatch detected
- Front roll stiffness (25 kN/rad) exceeds vehicle CG height constraint
- This configuration physically infeasible for 1200 kg mass
→ Recommendation: Reduce to max 18 kN/rad or increase vehicle mass
Example 3: FMU Interface Issue
- ⚠️ WARNING: Output variable type mismatch in battery model FMU
- Expected: Real array [voltage, current, temperature]
- Received: Real scalar (voltage only)
- ABS controller expecting 3-element input, will receive NaN for current/temp
→ Recommendation: Update FMU output specification or add data unpacking logic
What's Included
- SKILL.md instruction file with validation framework and error taxonomy:
- Solver Configuration Template: Pre-populated checklist for common platforms (CarMaker, PreScan, VTD, VI-grade, custom)
- Parameter Validation Worksheet: Structured table for cross-referencing tire models, suspension specs, and control parameters
- FMU Interface Verification Checklist: Co-simulation boundary validation with variable mapping and causality requirements
- Physical Plausibility Reference Table: Bounds and constraints for common vehicle dynamics parameters (stiffness, damping, tire slip angles, mass distributions)
Who It's For
- Vehicle Dynamics Engineers — Setting up production simulation models and validating new subsystem integrations
- Simulation Validation Specialists — Ensuring simulation fidelity and catching setup errors before long compute runs
- Controls Engineers — Verifying controller algorithm compatibility with vehicle dynamics models in co-simulation workflows
- Powertrain/E-Mobility Engineers — Validating e-motor, battery, and thermal model integration into full-vehicle simulations
- Simulation Automation/DevOps Engineers — Preparing simulation pipelines for CI/CD deployment with pre-flight validation gates
Best For
- Pre-execution validation of new simulation models before 8-12 hour compute runs
- Solver transition workflows (migrating between CarMaker, PreScan, VTD, or custom platforms)
- FMU co-simulation interface verification and troubleshooting
- Subsystem integration validation (e-motor controllers, battery thermal, ABS algorithms)
- Production simulation pipeline setup and automated batch execution readiness assessment
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