Adaptive Second Order Sliding Mode Control of a Fuel Cell Hybrid System for Electric Vehicle Applications

We present an adaptive-gain second order sliding mode (SOSM) control applied to a hybrid power system for electric vehicle applications. The main advantage of the adaptive SOSM is that it does not require the upper bound of the uncertainty. The proposed hybrid system consists of a polymer electrolyt...

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Main Authors: Jianxing Liu, Yue Zhao, Bo Geng, Bing Xiao
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/370424
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spelling doaj-db25c517842846c1bc30b30bb8d5d7cc2020-11-24T23:15:38ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/370424370424Adaptive Second Order Sliding Mode Control of a Fuel Cell Hybrid System for Electric Vehicle ApplicationsJianxing Liu0Yue Zhao1Bo Geng2Bing Xiao3Control Science and Engineering, Harbin Institute of Technology, Harbin 150000, ChinaControl Science and Engineering, Harbin Institute of Technology, Harbin 150000, ChinaDepartment of Electrical and Computer Engineering, University of Texas, Austin, TX 78712, USACollege of Engineering, Bohai University, Jinzhou 121013, ChinaWe present an adaptive-gain second order sliding mode (SOSM) control applied to a hybrid power system for electric vehicle applications. The main advantage of the adaptive SOSM is that it does not require the upper bound of the uncertainty. The proposed hybrid system consists of a polymer electrolyte membrane fuel cell (PEMFC) with a unidirectional DC/DC converter and a Li-ion battery stack with a bidirectional DC/DC converter, where the PEMFC is employed as the primary energy source and the battery is employed as the second energy source. One of the main limitations of the FC is its slow dynamics mainly due to the air-feed system and fuel-delivery system. Fuel starvation phenomenon will occur during fast load demand. Therefore, the second energy source is required to assist the main source to improve system perofrmance. The proposed energy management system contains two cascade control structures, which are used to regulate the fuel cell and battery currents to track the given reference currents and stabilize the DC bus voltage while satisfying the physical limitations. The proposed control strategy is evaluated for two real driving cycles, that is, Urban Dynamometer Driving Schedule (UDDS) and Highway Fuel Economy Driving Schedule (HWFET).http://dx.doi.org/10.1155/2015/370424
collection DOAJ
language English
format Article
sources DOAJ
author Jianxing Liu
Yue Zhao
Bo Geng
Bing Xiao
spellingShingle Jianxing Liu
Yue Zhao
Bo Geng
Bing Xiao
Adaptive Second Order Sliding Mode Control of a Fuel Cell Hybrid System for Electric Vehicle Applications
Mathematical Problems in Engineering
author_facet Jianxing Liu
Yue Zhao
Bo Geng
Bing Xiao
author_sort Jianxing Liu
title Adaptive Second Order Sliding Mode Control of a Fuel Cell Hybrid System for Electric Vehicle Applications
title_short Adaptive Second Order Sliding Mode Control of a Fuel Cell Hybrid System for Electric Vehicle Applications
title_full Adaptive Second Order Sliding Mode Control of a Fuel Cell Hybrid System for Electric Vehicle Applications
title_fullStr Adaptive Second Order Sliding Mode Control of a Fuel Cell Hybrid System for Electric Vehicle Applications
title_full_unstemmed Adaptive Second Order Sliding Mode Control of a Fuel Cell Hybrid System for Electric Vehicle Applications
title_sort adaptive second order sliding mode control of a fuel cell hybrid system for electric vehicle applications
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description We present an adaptive-gain second order sliding mode (SOSM) control applied to a hybrid power system for electric vehicle applications. The main advantage of the adaptive SOSM is that it does not require the upper bound of the uncertainty. The proposed hybrid system consists of a polymer electrolyte membrane fuel cell (PEMFC) with a unidirectional DC/DC converter and a Li-ion battery stack with a bidirectional DC/DC converter, where the PEMFC is employed as the primary energy source and the battery is employed as the second energy source. One of the main limitations of the FC is its slow dynamics mainly due to the air-feed system and fuel-delivery system. Fuel starvation phenomenon will occur during fast load demand. Therefore, the second energy source is required to assist the main source to improve system perofrmance. The proposed energy management system contains two cascade control structures, which are used to regulate the fuel cell and battery currents to track the given reference currents and stabilize the DC bus voltage while satisfying the physical limitations. The proposed control strategy is evaluated for two real driving cycles, that is, Urban Dynamometer Driving Schedule (UDDS) and Highway Fuel Economy Driving Schedule (HWFET).
url http://dx.doi.org/10.1155/2015/370424
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AT yuezhao adaptivesecondorderslidingmodecontrolofafuelcellhybridsystemforelectricvehicleapplications
AT bogeng adaptivesecondorderslidingmodecontrolofafuelcellhybridsystemforelectricvehicleapplications
AT bingxiao adaptivesecondorderslidingmodecontrolofafuelcellhybridsystemforelectricvehicleapplications
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