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.
Skip Nav Destination
e-mail: [email protected]
e-mail: [email protected]
Article navigation
April 2010
This article was originally published in
Journal of Fuel Cell Science and Technology
Research Papers
Optimal Design of Hybrid Electric Fuel Cell Vehicles Under Uncertainty and Enterprise Considerations
Jeongwoo Han,
e-mail: [email protected]
Jeongwoo Han
Argonne National Laboratory
, 9700 S. Cass Avenue, Building 362, Argonne, IL 60439
Search for other works by this author on:
Panos Y. Papalambros
Panos Y. Papalambros
Department of Mechanical Engineering,
e-mail: [email protected]
University of Michigan
, 2350 Hayward, Ann Arbor, MI 48109
Search for other works by this author on:
Jeongwoo Han
Argonne National Laboratory
, 9700 S. Cass Avenue, Building 362, Argonne, IL 60439e-mail: [email protected]
Panos Y. Papalambros
Department of Mechanical Engineering,
University of Michigan
, 2350 Hayward, Ann Arbor, MI 48109e-mail: [email protected]
J. Fuel Cell Sci. Technol. Apr 2010, 7(2): 021020 (9 pages)
Published Online: January 20, 2010
Article history
Received:
May 6, 2008
Revised:
March 7, 2009
Online:
January 20, 2010
Published:
January 20, 2010
Citation
Han, J., and Papalambros, P. Y. (January 20, 2010). "Optimal Design of Hybrid Electric Fuel Cell Vehicles Under Uncertainty and Enterprise Considerations." ASME. J. Fuel Cell Sci. Technol. April 2010; 7(2): 021020. https://doi.org/10.1115/1.3179762
Download citation file:
Get Email Alerts
Cited By
Energy Management of Hybrid Electric Vehicle Considering Battery and Fuel Cell Parameters Using Multi-Objective Optimization for Dynamic Driving Cycles
J. Electrochem. En. Conv. Stor (November 2025)
Electric Vehicles Charging Time Prediction Based on Multimodel Fusion
J. Electrochem. En. Conv. Stor (November 2025)
Analysis of Thermal Runaway Temperature Characteristics, Gas Composition, and Thermal Runaway Products of Semi-Solid Li(Ni0.6Co0.2Mn0.2)O2 Battery
J. Electrochem. En. Conv. Stor (November 2025)
Dynamic Loading for Solid Oxide Stacks Under Limited Actuation
J. Electrochem. En. Conv. Stor (November 2025)
Related Articles
Control Strategy Optimization of a Fuel-Cell Electric Vehicle
J. Fuel Cell Sci. Technol (May,2008)
Optimal Design of Hybrid Fuel Cell Vehicles
J. Fuel Cell Sci. Technol (November,2008)
Modeling and Analysis of Transient Behavior of Polymer Electrolyte Membrane Fuel Cell Hybrid Vehicles
J. Fuel Cell Sci. Technol (August,2007)
Fuel Economy and Emission Performance of Fuel Cell-Based Diesel HEVs
J. Fuel Cell Sci. Technol (February,2008)
Related Proceedings Papers
Related Chapters
Defining Joint Quality Using Weld Attributes
Ultrasonic Welding of Lithium-Ion Batteries
Getting Ready for Production
Total Quality Development: A Step by Step Guide to World Class Concurrent Engineering
Risk Mitigation for Renewable and Deispersed Generation by the Harmonized Grouping (PSAM-0310)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)