Energy Management Strategy for a Fuel Cell E-REV Based on Minimum Power Loss Algorithm

Jin Yu Hu; Ke Song; Tong Zhang

doi:10.4028/www.scientific.net/AMR.510.603

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 510Energy Management Strategy for a Fuel Cell E-REV...

Energy Management Strategy for a Fuel Cell E-REV Based on Minimum Power Loss Algorithm

Abstract:

Aim at the different characteristics from general fuel-cell vehicles of extended-range electric vehicles (E-REVs) with a fuel-cell stack as the Range Extender (RE), an energy management strategy based on minimum power loss algorithm is presented, which considers the efficiency of the fuel-cell stack and the charging and discharging efficiency of battery. The strategy is realized by neural network, simulated with the E-REV model, which is set up with ADVISOR. And a longer driving range is obtained.

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Periodical:

Advanced Materials Research (Volume 510)

Pages:

603-608

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.510.603

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Online since:

April 2012

Authors:

Jin Yu Hu, Ke Song, Tong Zhang

Keywords:

Energy Management Strategy, Extended-Range Electric Vehicles, Fuel Cell (FC), Neural Network (NN)

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