Design and Analysis of Bi-directional DC-DC Driver for Electric Vehicles

被引:0
作者
Metin, Nuri Alper [1 ]
Boyar, Aydin [2 ]
Kabalci, Ersan [2 ]
机构
[1] Nevsehir Haci Bektas Veli Univ, Inst Sci, Elect & Elect Engn, Nevsehir, Turkey
[2] Nevsehir Haci Bektas Veli Univ, Fac Eng & Arch, Elect & Elect Engn, Nevsehir, Turkey
来源
2019 IEEE 1ST GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (GPECOM2019) | 2019年
关键词
electric vehicle; dc machine; bi-directional dc-dc converter; fuzzy logic control;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The level of exhaust gases is rising with increasing usage of internal combustion engine vehicles. In order to reduce carbon emission, researchers and industry head up for improving electric vehicle technologies in all over the word. This paper deals with design and simulation of a bi-directional power converter of electric vehicle. The power electronics block is comprised by batteries, bi-directional dc-dc converter and dc machine. The initial state of battery charge is set around 90% where the discharge current is 44.5 A during motor mode. The nominal voltage of battery stack is 350 V and maximum capacity is 100 Ah. The rated power of dc machine is set to 250 HP with 500 V armature voltage and 300 V field voltage. The operating mode of power converter is determined according to the torque values of dc machine which is operated in motor and generator modes. The charge and discharge conditions of batteries have been controlled regarding to operating modes of dc machine. The bi-directional dc-dc converter is controlled with fuzzy logic controller in both modes. The proposed converter and controller are designed to meet charge control and motor drive requirements of an all-electric vehicle.
引用
收藏
页码:227 / 232
页数:6
相关论文
共 19 条
  • [1] Albiol-Tendillo L, 2012, 2012 15TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (EPE/PEMC)
  • [2] [Anonymous], 2011, INT J ENG SCI TECHNO, DOI DOI 10.4314/IJEST.V3I3.68426
  • [3] Azizi I, 2015, 2015 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), P402
  • [4] The Fuzzy Logic Control of a Multilevel Converter in a Variable Speed Wind Turbine
    Bayindir, Ramazan
    Colak, Ilhami
    Kabalci, Ersan
    Irmak, Erdal
    [J]. EIGHTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS, 2009, : 787 - +
  • [5] Chapman S.J., 2012, Electric Machinery Fundamentals, V5th ed.
  • [6] Cipin R., 2017, 2017 IEEE INT C ENV, P1
  • [7] A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems
    Cordon, Oscar
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2011, 52 (06) : 894 - 913
  • [8] Junyi Shen, 2015, 2015 IEEE Transportation Electrification Conference and Expo (ITEC), P1, DOI 10.1109/ITEC.2015.7165791
  • [9] The State Space Average Model of Boost Switching Regulator Including All of the System Uncertainties
    Modabbernia, Mohammad Reza
    Sahab, Ali Reza
    Mirzaee, Mohammad Taghy
    Ghorbany, Kazem
    [J]. MEMS, NANO AND SMART SYSTEMS, PTS 1-6, 2012, 403-408 : 3476 - +
  • [10] Regenerative Braking System of Electric Vehicle Driven by Brushless DC Motor
    Nian, Xiaohong
    Peng, Fei
    Zhang, Hang
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 61 (10) : 5798 - 5808