Online Energy Management Strategy of Fuel Cell Hybrid Electric Vehicles: A Fractional-Order Extremum Seeking Method

Daming Zhou, Ahmed Al-Durra, Imad Matraji, Alexandre Ravey, Fei Gao

Research output: Contribution to journalArticlepeer-review

149 Scopus citations

Abstract

In this paper, an online energy management control strategy is proposed based on a novel fractional-order extremum seeking (ES) method. The proposed method is an online adaptive optimization algorithm, which can be effectively used in the applications of fuel cell hybrid electric vehicles. Compared with the traditional integer-order ES method, the presented method uses Oustaloup approximation based fractional-order calculus in order to achieve faster convergence speed and higher robustness. A detailed mathematical analysis of the proposed method is presented to give a stability proof and shows how the fractional-order calculus improves the integer-order ES method. In order to support the stability analysis results and demonstrate the effectiveness and robustness of the proposed method, a hardware-in-the-loop test bench is developed to provide two experimental case studies. Experimental results show that, by using the presented fractional-order ES approach, the operation points of a proton exchange membrane fuel cell stack system can be effectively controlled in its maximum efficiency area. In addition, the fuel cell system durability can be improved.

Original languageBritish English
Pages (from-to)6787-6799
Number of pages13
JournalIEEE Transactions on Industrial Electronics
Volume65
Issue number8
DOIs
StatePublished - Aug 2018

Keywords

  • Extremum seeking (ES) method
  • fractional-order calculus
  • fuel cell hybrid electric vehicle (FCHEV)
  • online energy management strategy

Fingerprint

Dive into the research topics of 'Online Energy Management Strategy of Fuel Cell Hybrid Electric Vehicles: A Fractional-Order Extremum Seeking Method'. Together they form a unique fingerprint.

Cite this