Research Papers

Optimal Design of Hybrid Electric Fuel Cell Vehicles Under Uncertainty and Enterprise Considerations

[+] Author and Article Information
Jeongwoo Han1

 Argonne National Laboratory, 9700 S. Cass Avenue, Building 362, Argonne, IL 60439jhan@anl.gov

Panos Y. Papalambros

Department of Mechanical Engineering, University of Michigan, 2350 Hayward, Ann Arbor, MI 48109pyp@umich.edu


Corresponding author.

J. Fuel Cell Sci. Technol 7(2), 021020 (Jan 20, 2010) (9 pages) doi:10.1115/1.3179762 History: Received May 06, 2008; Revised March 07, 2009; Published January 20, 2010; Online January 20, 2010

Hybrid electric fuel cell vehicles are studied using a system perspective that explores the tradeoffs among fuel economy, acceleration, and other vehicle attributes. Design decisions are derived from an enterprise decision-making model that seeks to maximize profit. Uncertainties stemming from manufacturing variability, customer preferences, and market response to fuel price fluctuations are also included. The system is hierarchically partitioned into three levels that comprise enterprise, powertrain, fuel cell, and battery subsystem models. Analytical target cascading, a decomposition-based multidisciplinary design optimization strategy, is used to solve the resulting problem. Results indicate a strong interaction between enterprise and engineering considerations, and a significant impact of uncertainty on the optimal system design.

Copyright © 2010 by American Society of Mechanical Engineers
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Figure 1

Example of index notation in ATC and information flow for an element Oij

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Figure 2

Hybrid electric fuel cell vehicles design problem

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Figure 3

Decoupling of a hybrid powertrain into mechanical and electrical parts

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Figure 4

Reactant supply subsystems (modified from Ref. 18)

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Figure 5

Typical fuel cell system performance maps

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Figure 6

Li-ion cell sandwich consisting of composite negative and positive electrode and separator (adapted from Ref. 23)

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Figure 7

Discharging and charging resistances of a Li-ion battery showing agreement between estimated resistances and quadratic approximations

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Figure 8

Simulation of a hybrid electric fuel cell vehicle

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Figure 9

Fuel cell system performance map

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Figure 10

Parametric study on cost and fuel price models




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