Fuel efficiency comparisons of advanced transit buses using fuel cell and engine hybrid electric drivelines

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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A Parametric Analysis Technique for Design of Fuel Cell and Hybrid-Electric Vehicles

10.4271/2003-01-2300 ◽

2003 ◽

Cited By ~ 3

Author(s):

Andrew G. Simpson ◽

Geoffrey R. Walker

Keyword(s):

Fuel Cell ◽

Electric Vehicles ◽

Parametric Analysis ◽

Hybrid Electric Vehicles ◽

Analysis Technique ◽

Hybrid Electric

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Optimal Dual-Mode Hybrid Electric Vehicle Powertrain Architecture Design for a Variety of Loading Scenarios

Volume 3: 16th International Conference on Advanced Vehicle Technologies; 11th International Conference on Design Education; 7th Frontiers in Biomedical Devices ◽

10.1115/detc2014-34897 ◽

2014 ◽

Cited By ~ 9

Author(s):

Alparslan Emrah Bayrak ◽

Yi Ren ◽

Panos Y. Papalambros

Keyword(s):

Electric Vehicle ◽

Hybrid Electric Vehicle ◽

Fuel Efficiency ◽

Architecture Design ◽

Optimization Strategy ◽

Passenger Cars ◽

Hybrid Electric ◽

Distribution Of Power ◽

Architecture Development ◽

Vehicle Powertrain

A hybrid-electric vehicle powertrain architecture consists of single or multiple driving modes, i.e., connection arrangements among engine, motors and vehicle output shaft that determine distribution of power. While most architecture development work to date has focused primarily on passenger cars, interest has been growing in exploring architectures for special-purpose vehicles such as vans or trucks for civilian and military applications, whose weights or payloads can vary significantly during operations. Previous findings show that the optimal architecture can be sensitive to vehicle weight. In this paper we investigate architecture design under a distribution of vehicle weights, using a simulation-based design optimization strategy with nested supervisory optimal control and accounting for powertrain complexity. Results show that an architecture under a single load has significant differences and lower fuel efficiency than an architecture designed to work under a variety of loading scenarios.

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