Frontloading hybrid vehicles controls development and calibration with multi-level simulation

Designing hybrid electric vehicles of tomorrow means predicting and balancing the performance of various attributes, such as fuel economy, power, comfort, and drivability. Getting insights early in the development cycle is valuable as multiple iterations of different hardware configurations and control strategies can be simulated and analyzed. Developing the optimal supervisory controller overseeing the complete energy management strategy is complex, particularly with hybrid architecture. A model-based approach enables optimized performance, even with complex requirements.

In this webinar, experts will explain how to extend the system simulation-based methodology used in design phases to control development and calibration of hybrid powertrain systems. In addition, model-based development will allow to consider attributes balancing at earlier development stage, which was not possible with test based calibration. Dr. Jae Sung Bang from Hyundai Motor will precisely detail how they’re implementing model-based calibration for HEV control logic with high fidelity vehicle model, and how to deploy closed loop simulation model of transmission mounted electric device HEV which contains main controllers such as HCU, EMS, TCU, MCU, etc.