Lyapunov based adaptive controller for power converters used in hybrid energy storage systems

被引:19
作者
Hassan, Mudasser [1 ]
Paracha, Zahir Javed [2 ]
Armghan, Hammad [4 ]
Ali, Naghmash [4 ]
Said, Hafiz Ahsan [3 ]
Farooq, Umar [2 ]
Afzal, Ammar [2 ]
Hassan, Muhammad Arshad Shehzad [1 ]
机构
[1] Univ Faisalabad, Sch Elect Engn Technol, Faisalabad 38000, Pakistan
[2] Univ Faisalabad, Sch Elect Engn, Faisalabad 38000, Pakistan
[3] Maynooth Univ, Ctr Ocean Energy Res COER, Maynooth, Kildare, Ireland
[4] Shandong Univ, Sch Elect Engn, Jinan 250061, Peoples R China
关键词
Fuel cell; Lyapunov controller; Hybrid electric vehicle; Sliding mode controller; Energy storage systems;
D O I
10.1016/j.seta.2020.100853
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Depleting fossil fuels, natural gas resources, escalating oil prices, and global warming issues have made fuel cell (FC) based electric vehicles (EVs), a vital replacement to its conventional counterpart. Modeling of such a system contains power-conditioning circuitry, which exhibits nonlinear nature. In this paper, a model for hybrid electric vehicle is proposed with FC as primary source, whereas ultra-capacitor (UC) and battery are secondary sources. All the sources are linked with a direct current (DC) bus comprising of DC-DC converters. The study of the system is done mathematically and simulations are performed on MATLAB/Simulink. The dynamic model based on Lyapunov based adaptive control technique with model uncertainties designed to accomplish the following objectives. Firstly, the perfect regulation of DC bus voltage having minimum steady-state error under the load variations. Secondly, current of battery and UC precisely followed quickly under their relating reference values. Finally, asymptotically stability of the closed loop system. Proposed controller performances are analyzed using MATLAB/Simulink and comparative analysis is done with the sliding mode controller (SMC) and proportional integral derivative (PID) controller, which demonstrates the closed-loop stability of the proposed controller. Moreover, all control objectives are achieved efficiently.
引用
收藏
页数:16
相关论文
共 35 条
  • [1] Optimal control based algorithms for energy management of automotive power systems with battery/supercapacitor storage devices
    AnhTu Nguyen
    Lauber, Jimmy
    Dambrine, Michel
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2014, 87 : 410 - 420
  • [2] Nonlinear Controller Analysis of Fuel Cell-Battery-Ultracapacitor-based Hybrid Energy Storage Systems in Electric Vehicles
    Armghan, Hammad
    Ahmad, Iftikhar
    Ali, Naghmash
    Munir, Muhammad Faizan
    Khan, Saud
    Armghan, Ammar
    [J]. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2018, 43 (06) : 3123 - 3133
  • [3] Design and new control of DC/DC converters to share energy between supercapacitors and batteries in hybrid vehicles
    Camara, Mamadou Baeilo
    Gualous, Hamid
    Gustin, Frederic
    Berthon, Alain
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2008, 57 (05) : 2721 - 2735
  • [4] Optimizing for Efficiency or Battery Life in a Battery/Supercapacitor Electric Vehicle
    Carter, Rebecca
    Cruden, Andrew
    Hall, Peter J.
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2012, 61 (04) : 1526 - 1533
  • [5] Electric vehicles charge forward
    Chan, C.C.
    Wong, Y.S.
    [J]. IEEE Power and Energy Magazine, 2004, 2 (06): : 24 - 33
  • [6] El Fadil H., 2012, IFAC PROC VOL, V45, P669, DOI [10.3182/20120902-4-FR-2032.00117, DOI 10.3182/20120902-4-FR-2032.00117]
  • [7] Modeling and Nonlinear Control of a Fuel Cell/Supercapacitor Hybrid Energy Storage System for Electric Vehicles
    El Fadil, Hassan
    Giri, Fouad
    Guerrero, Josep M.
    Tahri, Abdelouahad
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2014, 63 (07) : 3011 - 3018
  • [8] Emori A., 2008, IEEE Vehicle Power and Propulsion Conference (VPPC), P1, DOI [10.1109/VPPC.2008, DOI 10.1109/VPPC.2008]
  • [9] Modelling and control of hybrid electric vehicles (A comprehensive review)
    Enang, Wisdom
    Bannister, Chris
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 74 : 1210 - 1239
  • [10] Multi-sources model and control algorithm of an energy management system for light electric vehicles
    Hannan, M. A.
    Azidin, F. A.
    Mohamed, A.
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2012, 62 : 123 - 130