Power Generation Technology ›› 2018, Vol. 39 ›› Issue (6): 554-560.DOI: 10.12096/j.2096-4528.pgt.18157

• New and Renewable Energy • Previous Articles     Next Articles

Study on the Management of Fuel Cell Vehicle Energy System Using Hybrid Fuzzy Logic Controller

Shengzhe ZHOU1(),Qiang CUI2,Maoyuan ZHANG3,Guoting XIA1,Kai WANG1()   

  1. 1 School of Automation and Electrical Engineering, Qingdao University, Qingdao 266071, Shandong Province, China
    2 Shandong Nuclear Power Company LTD, Haiyang 265100, Shandong Province, China
    3 Qingdao Police Station, Qingdao 266071, Shandong Province, China
  • Received:2018-08-20 Published:2018-12-31 Online:2018-12-28
  • Supported by:
    National High Technology R & D Program (863 Program)(2014AA052303);Shandong Key R & D Plan(2017GGX50114)

Abstract:

Reasonable allocation of power output from different power sources is a core part of fuel cell vehicle energy management. In this paper, an energy management strategy controlled by hybrid fuzzy logic is proposed for the hybrid energy storage system of "fuel cell+battery (FC+B)" electric vehicle. This strategy dynamically adjusts the power distribution according to the load demand power, current state of charge (SOC) of the battery and the target value of the battery SOC. The proposed hybrid fuzzy logic control is verified by MATLAB/Simulink. The simulation results show that when the SOC of the battery is moderate (the state of charge value is represented by HSOC, when HSOC=60%), the change of SOC is almost the same under the combined fuzzy logic control strategy and power tracking strategy, but the hydrogen consumption of the former is reduced by 0.54g. When the initial SOC of the battery is lower or higher (taking HSOC=39.8% and HSOC=80.2%, respectively), compared with the power tracking strategy, this strategy makes the battery SOC approach the target value gradually. This strategy can improve the efficiency of the system by reducing the energy consumption of fuel cell. The control is more flexible and has certain practical value.

Key words: fuel cell vehicle, hybrid power system, energy management, hybrid fuzzy logic controller