Calibration Tools & Techniques

Ricardo have developed a powerful calibration toolset which integrates with Ricardo advanced testing capability

The efficient calibration toolset consists of:

Design:

• Experiment designs are matched to calibration task
• Templates library developed for common tasks
• Automatic test sequence generation from user defined variable ranges

Auto-Test:

• Execution of test sequences using STARS
• Automated testing and data quality checking
• Up 600 test points per day achievable
• Global modelling reduces testing requirements by up to 50%

Model:

• Stochastic Process Models used as standard
• High model accuracy and robustness to variable data quality
• Multiple visualisation methods including multiple responses
• Automatic calculation of confidence intervals and model quality statistics

Optimise:

• Concurrent optimisation for multiple test cycles and/or vehicle applications
• Multiple constraints can be applied, including cycle emissions and fuel consumption, map gradient, sensitivity & local constrains, e.g. combustion stability, combustion noise
• Second by second prediction for transient cycles

Validate:

• Calibrations automatically evaluated for robustness to component / sensor tolerances
• Monte Carlo technique used to build responses for 1,000,000 engines using individual component tolerance specification
• CoP risk and cost reduction opportunities can be quickly evaluated early on