Front-Loading: Virtual Validation and Calibration on LABCAR Maruti Suzuki India Limited

Format:

Book

Conference/Event

Author/Creator:

Samaddar, Soumik, author.

Contributor:

Galgali, Abhishek

Garg, Charu

P R, Renjith

Varsha, Anuroopa

Conference Name:

Symposium on International Automotive Technology (2024-01-23 : Pune, India)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2024

Summary:

The advent of BS6 coupled with RDE emission norms has increased the development efforts and costs due to the shear amount of testing and validation on real engines and vehicles which are necessitated by these stringent norms.Front-loading of tasks by moving actual vehicle and engine tasks on to virtual setup, will reduce the development efforts and costs significantly. This front-loading of tasks on to a LABCAR would need real time and highly accurate plant models, tools to parameterize these plant models and accurate data driven models to predict dynamic parameters like emissions.In this collaborative work between Maruti Suzuki India Ltd and ETAS India, ETAS VVTB and ICE plant models were parameterized with the data generated on engine test with ASCMO Global DoE test plan by using ASCMO MOCA. The ASCMO Global test plan also ensures the coverage of data points across the entire engine operating space. These plants models were optimized to an accuracy level of more than 95%. The optimized plant model parameters are integrated on ETAS LABCAR and necessary fine tuning is carried out on the LABCAR.The results show, for MIDC cycle the accuracy of simulation torque and airflow results are greater than 95% and fuel consumption simulation has an error less than 6%. Accuracy levels of ASCMO dynamic emission models also have good accuracy levels

Notes:

Vendor supplied data

Publisher Number:

2024-26-0247

Access Restriction:

Restricted for use by site license