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Explore IndustryFrontloading hybrid vehicles controls development and calibration with multi-level simulation
Frontloading hybrid vehicles controls development and calibration with multi-level simulation
Design the optimal control strategies to reach the expected performance levels balancing conflicting attributes.
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.
Você aprenderá:
Dr Jae Sung Bang
Senior Research Engineer, Hyundai Motor
Landry Saussol
Simcenter System Simulation Business Developer, Siemens Digital Industries Software
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Olá Bob (será substituído com o primeiro nome real durante a visita do site real)
Você tem acesso a este webinar por 90 dias. Clique abaixo para iniciar a visualização.
Design the optimal control strategies to reach the expected performance levels balancing conflicting attributes.
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.
Você aprenderá:
Dr Jae Sung Bang
Senior Research Engineer, Hyundai Motor
Landry Saussol
Simcenter System Simulation Business Developer, Siemens Digital Industries Software