Multi-Physics Models of Electro-Magnetic Structural Systems
 

Engine AC Torque Absorber and Energy Harvester

Hybrid electric vehicles (HEVs) have become increasingly popular due to their high fuel economy performance. HEVs usually use smaller internal combustion engines (ICEs) because of the existence of multiple power sources, which suffer from high torque fluctuations detrimental for noise vibration harshness (NVH) performance. We aim at developing a novel hybrid electric powertrain architecture (patent pending) which suppresses torque fluctuations and carries out the functionality of hybrid driving. With two electric machines, including one with a rotating stator, that connect to the ICE, the new system is able to carry out functionalities of existing hybrid powertrains, including transmission, boost, regenerative braking.

Design Walkthrough

The structure of the device being designed is shown In the figure on the left. The electric machines are named A and B machine. Internal combustion engine (ICE) crank shaft connects A rotor. A stator, which rotates, is connected to B rotor. B rotor connects the wheel via a final gear. A machine provides the slippage necessary between ICE and the wheel so that it is possible to set single and efficient operating point for ICE. Gamma machine changes torque to ICE torque, so that the output torque to the wheel is exactly the amount required by the driver.



Research Progress

The system level multi-physics model is completed in Matlab Simulink. The model contains a driver model, ICE model, battery model, electric model, and a dynamics model for the powertrain system. The battery model and electric machines models are physics based models, which is realized by applying equations for electric circuitry, power electronics, torque generation, etc. In addition, we have developed a rule-based extended electrical continuously variant transmission (EECVT) controller. The controller defines several operating modes for the powertrain and decides which operating mode for vehicle according to vehicle and driving conditions. Current work focuses on developing a real-time MPGe analysis method, creating multi-physics structural dynamics and vibrations modeling, and optimizing the powertrain system.

     
University of Michigan
College of Engineering