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Power management optimization of fuel cell/battery hybrid vehicles with experimental validation.
- Source :
-
Journal of Power Sources . Apr2014, Vol. 252, p333-343. 11p. - Publication Year :
- 2014
-
Abstract
- Abstract: Fuel cell hybrid vehicles offer a high-efficiency and low-emission substitute for their internal combustion engine counterparts. The hybridization significantly improves the fuel economy of the vehicle; however, exploiting the hybridization requires a well-designed power management strategy that optimally shares the power demand between the power sources. This paper deals with the optimization of power management strategy of a fuel cell/battery hybrid vehicle, both off-line and in real-time. A new formulation of the optimization problem for the real-time strategy is presented. The new approach allows the optimization of the controller over a set of driving cycles at once, which improves the robustness of the designed strategy. The real-time optimization is applied to two forms of real-time controllers: a PI controller based on Pontryagin's Minimum Principle with three parameters and a fuzzy controller with ten parameters. The results show that the PI controller can outperform the fuzzy controller, even though it has fewer parameters. The real-time controllers are designed by simulation and then validated by experiment. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 03787753
- Volume :
- 252
- Database :
- Academic Search Index
- Journal :
- Journal of Power Sources
- Publication Type :
- Academic Journal
- Accession number :
- 93590063
- Full Text :
- https://doi.org/10.1016/j.jpowsour.2013.12.012