Dynamic Voltage Stability Enhancement in Electric Vehicle Battery Charger Using Particle Swarm Optimization

被引:8
|
作者
Rajendran, Gowthamraj [1 ]
Vaithilingam, Chockalingam Aravind [1 ]
Naidu, Kanendra [2 ]
Alsakati, Ahmad Adel [1 ]
Oruganti, Kameswara Satya Prakash [1 ]
Fauzan, Mohd Faizal [3 ]
机构
[1] Taylors Univ, Fac Innovat & Technol, Sch Comp Sci & Engn, High Impact Res Lab, Subang Jaya 47500, Selangor, Malaysia
[2] Univ Teknol MARA UiTM, Coll Engn, Sch Elect Engn, Shah Alain 40450, Selangor, Malaysia
[3] Univ Kebangsaan Malaysia, Solar Energy Res Inst, Bangi 43600, Selangor, Malaysia
来源
IEEE ACCESS | 2022年 / 10卷
关键词
Vienna rectifier; voltage oriented controller (VOC); particle swarm optimization (PSO); electric vehicles; charging stations; PID CONTROLLER; DESIGN;
D O I
10.1109/ACCESS.2022.3199416
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Electric vehicles (EVs) are poised to lead the transportation sector as the primary choice of automobile due to their efficiency and environmental benefits. EVs with enhanced autonomy and reduced pricing have become feasible in the market, enabling a gradual transition for higher EV penetration. However, electric vehicles require highly efficient and stabilized charging stations in urban areas to ensure the vehicle's charging time is not compromised. In this regard, the Vienna rectifier with a voltage-oriented controller (VOC) plays a significant role in improving the power quality of the utility grid for EV battery charger applications. The low stability of the battery charger's output voltage and current is due to the trial-and-error method used to select the PI controller gains. In order to improve the voltage and current stability, the particle swarm optimization (PSO) technique is used to optimize VOC's PI controller gains. The code composer studio (CCS) platform integrates the PSO technique for EV battery chargers in the experimental setup. The Vienna rectifier with VOC for EV battery charger is implemented using TMS 320F28337 digital signal controller in the test board. Findings indicate that the PSO optimized VOC improves the output voltage and current stability by 12% compared to the existing trial-and-error technique. Furthermore, the proposed system is tested in an experimental setup that provides input current THD to less than 5% for different load variations (up to 1.5kW) to meet the IEEE-519 standards. Results from simulations and experimental setup verify that the proposed PSO-PI controller-based Vienna rectifier significantly improves EV battery chargers' output voltage and current stability.
引用
收藏
页码:97767 / 97779
页数:13
相关论文
共 50 条
  • [41] An Improved PQ Zeta Converter with Reduced Switch Voltage Stress for Electric Vehicle Battery Charger
    Kushwaha, Radha
    Singh, Bhim
    Khadkikar, Vinod
    [J]. 2020 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2020, : 858 - 863
  • [42] Robust nonlinear control of battery electric vehicle charger in grid to vehicle and vehicle to
    Ahmed, Ijaz
    Adil, Hafiz Mian Muhammad
    Ahmed, Shahzad
    Ahmad, Iftikhar
    Rehman, Zubair
    [J]. JOURNAL OF ENERGY STORAGE, 2022, 52
  • [43] A Power Factor Corrected Electric Vehicle Battery Charger Using Boost Converter
    Pandey, Rahul
    Singh, Bhim
    [J]. 2018 8TH IEEE INDIA INTERNATIONAL CONFERENCE ON POWER ELECTRONICS (IICPE), 2018,
  • [44] Off-board electric vehicle battery charger using PV array
    Nachinarkiniyan, Sujitha
    Subramanian, Krithiga
    [J]. IET ELECTRICAL SYSTEMS IN TRANSPORTATION, 2020, 10 (03) : 291 - 300
  • [45] Stability analysis of particle swarm optimization using swarm activity
    Su, Shou-Bao
    Cao, Xi-Bin
    Kong, Min
    [J]. Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2010, 27 (10): : 1411 - 1417
  • [46] Particle swarm optimization for operational parameters of series hybrid electric vehicle
    Wang, Zhancheng
    Huang, Bufu
    Li, Weimin
    Xu, Yangsheng
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-3, 2006, : 682 - +
  • [47] Velocity Profile Optimization of an Electric Vehicle with Battery Dynamic Model
    Naeem, Hafiz Muhammad Yasir
    Bhatti, Aamer Iqbal
    Butt, Yasir Awais
    Ahmed, Qadeer
    [J]. 2019 12TH ASIAN CONTROL CONFERENCE (ASCC), 2019, : 609 - 614
  • [48] Plug-in hybrid electric vehicle energy management system using particle Swarm Optimization
    Banvait, Harpreetsingh
    Lin, Xiao
    Anwar, Sohel
    Chen, Yaobin
    [J]. World Electric Vehicle Journal, 2009, 3 (03): : 618 - 628
  • [49] Plug-in hybrid electric vehicle energy management system using particle swarm optimization
    Banvait, Harpreetsingh
    Lin, Xiao
    Anwar, Sohel
    Chen, Yaobin
    [J]. World Electric Vehicle Journal, 2009, 3 (01):
  • [50] Underwater Image Enhancement Using Particle Swarm Optimization
    AbuNaser, Amal
    Abu Doush, Iyad
    Mansour, Nahed
    Alshattnawi, Sawsan
    [J]. JOURNAL OF INTELLIGENT SYSTEMS, 2015, 24 (01) : 99 - 115