Optimal control of a repowered vehicle: Plug-in fuel cell against plug-in hybrid electric powertrain

2015 ◽  
Author(s):  
L. Tribioli ◽  
R. Cozzolino ◽  
M. Barbieri
Keyword(s):  
Optimal Control ◽  
Fuel Cell ◽  
Hybrid Electric ◽  
Hybrid Electric Powertrain

Control and Design Optimization of a Novel Hybrid Electric Powertrain System

2017 ◽  
Author(s):  
Chenyu Yi ◽  
Bogdan Epureanu
Keyword(s):  
Optimal Control ◽  
Design Optimization ◽  
Fuel Economy ◽  
Optimization Problems ◽  
Computational Cost ◽  
Electric Machines ◽  
Hybrid Electric ◽  
Hybrid Electric Powertrain ◽  
And Control ◽  
Electric Powertrains

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.

Development of a fuel cell hybrid electric powertrain: A real case study on a Minibus application

2017 ◽  
Vol 42 (46) ◽  
pp. 28034-28047 ◽  
Author(s):  
G. Napoli ◽  
S. Micari ◽  
G. Dispenza ◽  
S. Di Novo ◽  
V. Antonucci ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Cell Hybrid ◽  
Real Case ◽  
Hybrid Electric ◽  
Hybrid Electric Powertrain ◽  
Fuel Cell Hybrid

scholarly journals Online powermanagement optimization of a fuel cell-based hybrid electric powertrain

PAMM ◽  
2011 ◽  
Vol 11 (1) ◽  
pp. 827-828
Author(s):  
Matthias Marx ◽  
Dirk Söffker
Keyword(s):  
Fuel Cell ◽  
Hybrid Electric ◽  
Hybrid Electric Powertrain

Powertrain Matching Based on Driving Cycle for Fuel Cell Hybrid Electric Vehicle

2013 ◽  
Vol 288 ◽  
pp. 142-147 ◽  
Author(s):  
Shang An Gao ◽  
Xi Ming Wang ◽  
Hong Wen He ◽  
Hong Qiang Guo ◽  
Heng Lu Tang
Keyword(s):  
Fuel Cell ◽  
Electric Vehicle ◽  
Cell Hybrid ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
Driving Cycle ◽  
Power Performance ◽  
Matching Method ◽  
Hybrid Electric ◽  
Fuel Cell Hybrid

Fuel cell hybrid electric vehicle (FCHEV) is one of the most efficient technologies to solve the problems of the energy shortage and the air pollution caused by the internal-combustion engine vehicles, and its performance strongly depends on the powertrains’ matching and its energy control strategy. The theoretic matching method only based on the theoretical equation of kinetic equilibrium, which is a traditional method, could not take fully use of the advantages of FCHEV under a certain driving cycle because it doesn’t consider the target driving cycle. In order to match the powertrain that operates more efficiently under the target driving cycle, the matching method based on driving cycle is studied. The powertrain of a fuel cell hybrid electric bus (FCHEB) is matched, modeled and simulated on the AVL CRUISE. The simulation results show that the FCHEB has remarkable power performance and fuel economy.

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