Experimental investigation on the online fuzzy energy management of hybrid fuel cell/battery power system for UAVs

被引:101
作者
Zhang, Xiaohui [1 ]
Liu, Li [1 ]
Dai, Yueling [1 ]
Lu, Tianhe [1 ]
机构
[1] Beijing Inst Technol, Sch Aerosp Engn, Beijing 100081, Peoples R China
关键词
Online energy management; Fuel cell; Battery; Hybrid power system; UAVs; PROPULSION SYSTEM; VEHICLE;
D O I
10.1016/j.ijhydene.2018.04.075
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The hybrid powerplant combining a fuel cell and a battery has become one of the most promising alternative power systems for electric unmanned aerial vehicles (UAVs). To enhance the fuel efficiency and battery service life, highly effective and robust online energy management strategies are needed in real applications. In this work, an energy management system is designed to control the hybrid fuel cell and battery power system for electric UAVs. To reduce the weight, only one programmable direct-current to direct-current (dcdc) converter is used as the critical power split component to implement the power management strategy. The output voltage and current of the dcdc is controlled by an independent energy management controller. An executable process of online fuzzy energy management strategy is proposed and established. According to the demand power and battery state of charge, the online fuzzy energy management strategy produces the current command for the dcdc to directly control the output current of the fuel cell and to indirectly control the charge/discharge current of the battery based on the power balance principle. Another two online strategies, the passive control strategy and the state machine strategy, are also employed to compare with the proposed online fuzzy strategy in terms of the battery management and fuel efficiency. To evaluate and compare the feasibility of the online energy management strategies in application, experiments with three types of missions are carried out using the hybrid power system test-bench, which consists of a commercial fuel cell EO5600, a Lipo battery, a programmable dcdc converter, an energy management controller, and an electric load. The experimental investigation shows that the proposed online fuzzy strategy prefers to use the most power from the battery and consumes the least amount of hydrogen fuel compared with the other two online energy management strategies. (C) 2018 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:10094 / 10103
页数:10
相关论文
共 26 条
[1]  
ACE, HIGH DISCH LIPO BATT
[2]  
Bradley T., 2009, P 7 INT EN CONV ENG, P4590
[3]  
Bradley T., 2008, Modeling, design and energy management of fuel cell systems for aircraft
[4]   On-line fuzzy energy management for hybrid fuel cell systems [J].
Caux, S. ;
Hankache, W. ;
Fadel, M. ;
Hissel, D. .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2010, 35 (05) :2134-2143
[5]   Fuzzy Energy Management for Hybrid Fuel Cell/Battery Systems for More Electric Aircraft [J].
Corcau, Jenica-Ileana ;
Dinca, Liviu ;
Grigorie, Teodor Lucian ;
Tudosie, Alexandru-Nicolae .
APPLIED MATHEMATICS AND COMPUTER SCIENCE, 2017, 1836
[6]   Analysis of a hydrogen fuel cell-PV power system for small UAV [J].
Gadalla, Mohamed ;
Zafar, Sayem .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2016, 41 (15) :6422-6432
[7]   Energy Management System of Fuel-Cell-Battery Hybrid Tramway [J].
Garcia, Pablo ;
Fernandez, Luis M. ;
Andres Garcia, Carlos ;
Jurado, Francisco .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2010, 57 (12) :4013-4023
[8]  
Gong A, 2014, 52 AER SCI M
[9]   Fuel cell propulsion in small fixed-wing unmanned aerial vehicles: Current status and research needs [J].
Gong, Andrew ;
Verstraete, Dries .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (33) :21311-21333
[10]   Performance of a hybrid, fuel-cell-based power system during simulated small unmanned aircraft missions [J].
Gong, Andrew ;
Palmer, Jennifer L. ;
Brian, Geoff ;
Harvey, James R. ;
Verstraete, Dries .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2016, 41 (26) :11418-11426