Control strategies for high-power electric vehicles powered by hydrogen fuel cell, battery and supercapacitor

被引:169
作者
Garcia, Pablo [1 ]
Torreglosa, Juan P. [2 ]
Fernandez, Luis M. [1 ]
Jurado, Francisco [2 ]
机构
[1] Univ Cadiz, Dept Elect Engn, Algeciras 11202, Cadiz, Spain
[2] Univ Jaen, Dept Elect Engn, Linares, Jaen, Spain
关键词
Fuel cell; Energy storage system; Energy management system; Electric vehicle; ENERGY MANAGEMENT; HYBRID; SYSTEMS; ULTRACAPACITOR;
D O I
10.1016/j.eswa.2013.02.028
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Problems relating to oil supply, pollution, and green house effects justify the need for developing of new technologies for transportation as a replacement for the actual technology based on internal combustion engines (ICE). Fuel cells (FCs) are seen as the best future replacement for ICE in transportation applications because they operate more efficiently and with lower emissions. This paper presents a comparative study performed in order to select the most suitable control strategy for high-power electric vehicles powered by FC, battery and supercapacitor (SC), in which each energy source uses a DC/DC converter to control the source power and adapt the output voltage to the common DC bus voltage, from where the vehicle loads are supplied. Five different controls are described for this kind of hybrid vehicles: a basic control based on three operation modes of the hybrid vehicle depending on the state of charge (SOC) of the battery (operation mode control); a control strategy based on control loops connected in cascade, whose aim is to control the battery and SC SOC (cascade control); a control based on the technique of equivalent fuel consumption, called equivalent consumption minimization strategy (ECMS); and two based on control techniques very used nowadays, the first one of them is a fuzzy logic control and the second one is a predictive control. These control strategies are tested and compared by applying them to a real urban street railway. The simulation results reflect the optimal performance of the presented control strategies and allow selecting the best option for being used in this type of high-power electric vehicles. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:4791 / 4804
页数:14
相关论文
共 46 条
[1]   Review of design considerations and technological challenges for successful development and deployment of plug-in hybrid electric vehicles [J].
Amjad, Shaik ;
Neelakrishnan, S. ;
Rudramoorthy, R. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2010, 14 (03) :1104-1110
[2]  
[Anonymous], 2012, SIMPOWERSYSTEMS REF
[3]   MPC for battery/fuel cell hybrid vehicles including fuel cell dynamics and battery performance improvement [J].
Arce, Alicia ;
del Real, Alejandro J. ;
Bordons, Carlos .
JOURNAL OF PROCESS CONTROL, 2009, 19 (08) :1289-1304
[4]   Vehicle hybridization with fuel cell, supercapacitors and batteries by sliding mode control [J].
Ayad, M. Y. ;
Becherif, M. ;
Henni, A. .
RENEWABLE ENERGY, 2011, 36 (10) :2627-2634
[5]   A comparative study of fuel-cell-battery, fuel-cell-ultracapacitor, and fuel-cell-battery-ultracapacitor vehicles [J].
Bauman, Jennifer ;
Kazerani, Mehrdad .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2008, 57 (02) :760-769
[6]  
Brandon NP, 2006, 2006 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, P282
[7]  
Broussely M., 2007, Industrial applications of batteries : from cars to aerospace and energy storage
[8]   Electric, Hybrid, and Fuel-Cell Vehicles: Architectures and Modeling [J].
Chan, C. C. ;
Bouscayrol, Alain ;
Chen, Keyu .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2010, 59 (02) :589-598
[9]   Multiple model predictive control for a hybrid proton exchange membrane fuel cell system [J].
Chen, Qihong ;
Gao, Lijun ;
Dougal, Roger A. ;
Quan, Shuhai .
JOURNAL OF POWER SOURCES, 2009, 191 (02) :473-482
[10]   Control and real-time optimization of an automotive hybrid fuel cell power system [J].
Dalvi, A. ;
Guay, M. .
CONTROL ENGINEERING PRACTICE, 2009, 17 (08) :924-938