Fundamental Studies of Variable-Voltage Hybrid-Electric Powertrains

Author(s):  
Brent Mills ◽  
Anubhav Datta

A variable-voltage hybrid-electric powertrain is constructed and tested to acquire data and understand the fundamental characteristics of the system. The powertrain is examined component by component, with over 500 test points, from the engine alone to the engine–generator, to the engine–generator with four distributed propulsors, in an instrumented test bed. The principal conclusion is that generator voltage is a key parameter that needs careful control relative to rotor speed to minimize engine-specific fuel consumption. For any operating state—defined by rotor torque and revolutions per minute (RPM)—the generator voltage should be minimized. In general, the system is influenced more by the engine–generator than electric motors. Hence greater rotor torque and lower rotor RPM is desired in general, implying the need for collective control on the rotor. The overall understanding gained from this work is that the effectiveness of a hybrid-electric powertrain for vertical take-off and landing is closely coupled with controls and aeromechanics. Reliable design and simulation will require integration with these disciplines—a powerplant designed in isolation will be suboptimal. The data reported in this paper can provide a basis to build and validate models that can be used for this purpose.

Author(s):  
Chenyu Yi ◽  
Bogdan Epureanu

Control and design optimization of hybrid electric powertrains is necessary to maximize the benefits of novel architectures. Previous studies have proposed multiple optimal and near-optimal control methods, approaches for design optimization, and ways to solve coupled design and control optimization problems for hybrid electric powertrains. This study presents control and design optimization of a novel hybrid electric powertrain architecture to evaluate its performance and potential using physics-based models for the electric machines, the battery and a near-optimal control, namely the equivalent consumption minimization strategy. Design optimization in this paper refers to optimizing the sizes of the powertrain components, i.e. electric machines, battery and final drive. The control and design optimization problem is formulated using nested approach with sequential quadratic programming as design optimization method. Metamodeling is applied to abstract the near-optimal powertrain control model to reduce the computational cost. Fuel economy, sizes of components, and consistency of city and highway fuel economy are reported to evaluate the performance of the powertrain designs. The results suggest an optimal powertrain design and control that grants good performance. The optimal design is shown to be robust and non-sensitive to slight component size changes when evaluated for the near-optimal control.


Author(s):  
Lorenzo Serrao ◽  
Christopher J. Hubert ◽  
Giorgio Rizzoni

The paper presents a dynamic model of a hybrid electric powertrain for a heavy-duty vehicle. The model involves all powertrain components and considers purely longitudinal vehicle dynamics; time constants of 0.05 – 5 seconds are taken into account, thus neglecting high frequency phenomena (NVH, engine cylinder-to-cylinder motion). Integration with handling dynamics models, characterized by the same frequency range, is possible but not discussed here. The simulator is an accurate virtual test bench for energy management strategies applied to hybrid electric powertrains, capable of predicting both fuel consumption and dynamic performance. The accuracy in both metrics is demonstrated by comparison with experimental data collected on a conventional heavy-duty refuse truck and a prototype of a series hybrid electric version of the same vehicle.


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