A Wavelet-ADALINE Network Based Load Sharing and Control Algorithm for a FC/UC Hybrid Vehicular Power System

被引:0
|
作者
Ates, Y. [1 ]
Uzunoglu, M. [1 ]
Erdinc, O. [1 ]
Vural, B. [1 ]
机构
[1] Yildiz Tech Univ, Dept Elect Engn, TR-34349 Istanbul, Turkey
关键词
ADALINE; Fuel cell; Hybrid Electrical Vehicle; Ultra-capacitor; Wavelet Transform; MANAGEMENT;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The most attractive features of fuel cell technologies are the environment friendly operation and fuel economy. Instead of using only a FC system for vehicle propulsion, hybridizing FC system with an energy, storage system provides many advantages. Fuel cell (FC) and ultra-capacitor (UC) based hybrid power systems appear to be very promising for satisfying high energy and high power requirements for vehicular applications. In this study. an adaptive linear neuron (ADALINE) network and wavelet transform based energy management strategy developed for a FC/UC hybrid vehicle system is proposed. While wavelet transforms are suitable for analvzing and evaluating the dynamic load demand profile of a hybrid electric vehicle (HEV), the use of adaline network controller is appropriate for the hybrid system control. The mathematical and electrical models of the system are developed in detail and simulated using Matlat (R), Simulink (R) and SimPowerSystems (R) environments.
引用
收藏
页码:582 / 585
页数:4
相关论文
共 50 条
  • [1] Modeling and analysis of an FC/UC hybrid vehicular power system using a wavelet-fuzzy logic based load sharing and control algorithm
    Erdinc, O.
    Vural, B.
    Uzunoglu, M.
    Ates, Y.
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2009, 34 (12) : 5223 - 5233
  • [2] Modeling and analysis of an FC/UC hybrid vehicular power system using a novel-wavelet-based load sharing algorithm
    Uzunoglu, M.
    Alam, M. S.
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2008, 23 (01) : 263 - 272
  • [3] Energy management of an FC/UC hybrid vehicular power system using a combined neural network-wavelet transform based strategy
    Ates, Y.
    Erdinc, O.
    Uzunoglu, M.
    Vural, B.
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2010, 35 (02) : 774 - 783
  • [4] A novel wavelet based load sharing algorithm for fuel cell and ultra-capacitor based hybrid vehicular power system
    Uzunoglu, M.
    Alam, M. S.
    PROCEEDINGS OF THE SIXTH IASTED INTERNATIONAL CONFERENCE ON EUROPEAN POWER AND ENERGY SYSTEMS, 2006, : 271 - +
  • [5] A fuzzy logic based supervisory controller for an FC/UC hybrid vehicular power system
    Eren, Y.
    Erdinc, O.
    Gorgun, H.
    Uzunoglu, M.
    Vural, B.
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2009, 34 (20) : 8681 - 8694
  • [6] A hybrid learning algorithm for neural network based power system load forecasting
    Yi, D.
    Shen, A.-W.
    2001, Changsha University of Electic Power (16):
  • [7] Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System
    Song, Y. D.
    Cao, Qian
    Du, Xiaoqiang
    Karimi, Hamid Reza
    JOURNAL OF APPLIED MATHEMATICS, 2013,
  • [8] POWER CONTROL ALGORITHM OF HYBRID ENERGY STORAGE SYSTEM FOR VEHICULAR APPLICATIONS
    Wieczorek, Maciej
    Lewandowski, Miroslaw
    ROAD AND RAIL INFRASTRUCTURE IV, 2016, : 343 - 349
  • [9] Optimal load sharing strategy for a wind/diesel/battery hybrid power system based on imperialist competitive neural network algorithm
    Safari, Masoud
    Sarvi, Mohammad
    IET RENEWABLE POWER GENERATION, 2014, 8 (08) : 937 - 946
  • [10] Fuel Cell (FC) Hybrid Power System with mitigation of the load power variability by the FC fuel flow control
    Bizon, Nicu
    Lopez-Guede, Jose Manuel
    Hoarca, Ioan Cristian
    Culcer, Mihai
    Iliescu, Mariana
    PROCEEDINGS OF THE 2018 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI), 2018,