Adaptive Fuzzy Logic Control of Fuel-Cell-Battery Hybrid Systems for Electric Vehicles

Jian Chen*, Chenfeng Xu, Chengshuai Wu, Weihua Xu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


In this paper, we propose an adaptive control approach with fuzzy logic parameter tuning (AFLPT) for the energy management of electric vehicles that are using fuel cell battery hybrid systems. The controller is adaptive to different driving conditions including normal, regenerative, and overload conditions. Specifically, the power flow between the fuel cell (FC) and the Li-ion battery is controlled in real time to maintain the battery state of charge (SOC) at a desirable level while satisfying the FC dynamic constraints. For guaranteeing performance in different driving conditions, the FLPT is integrated with the adaptive controller. Moreover, theoretical properties of the designed controller are analyzed. Simulation and experiment results illustrate the effectiveness of the proposed strategy for FC-battery hybrid systems in electric vehicles.

Original languageEnglish
Article number7593264
Pages (from-to)292-300
Number of pages9
JournalIEEE Transactions on Industrial Informatics
Issue number1
StatePublished - Jan 2018
Externally publishedYes


  • Adaptive control
  • electric vehicles
  • fuel cell battery hybrid system
  • fuzzy logic control
  • power management


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