Utilising High-Fidelity Engine Plant Models to Increase the Efficiency and Robustness of Base Engine Calibration

Utilising High-Fidelity Engine Plant Models to Increase the Efficiency and Robustness of Base Engine Calibration

Using simulation results to calibrate ECU parameters is essential to reducing the required facilities, people and hardware to carry out calibration. However, the calibration requirements for accurate representation of the physical hardware in simulation reduces the potential savings.

In this 60-minute webinar, Ricardo’s Alistair Peel, Calibration Solution Lead, and Petr Cerveny, Solutions Manager showcase Ricardo’s Efficient Calibration tools and process for Base Engine Calibration, enabling a reduction in the time and cost required for calibration while increasing its robustness.

Ricardo’s approach is a combination of unique methodology and Hi-Fidelity physical real-time capable plant model implemented into a single process, applicable for HiL, MiL and SiL. The webinar presents the process, its applications and valued savings.

Realis Simulation formerly Ricardo Software.

Gain access to this resource

Please tick the boxes below if you give consent for Realis Simulation to contact you with additional information on our services, products or events. Your information will be stored on our secure systems, will not be shared with 3rd parties, read our privacy notice.

Latest Resources

What's New in WAVE 2022.3?

What's New in WAVE 2022.3?

Webinar
Download resource
Using simulation to improve calibration efficiency

Using simulation to improve calibration efficiency

White paper
Download resource
Evaluation of Fast Detailed Kinetics Calibration Methodology for 3D CFD Simulations of Spray Combustion

Evaluation of Fast Detailed Kinetics Calibration Methodology for 3D CFD Simulations of Spray Combustion

Technical paper
Download resource