f Fast Charging System of Electric Vehicle Using Optimized Isolated Multi-Port DC-DC Converter based on Modified Coati Optimization Algorithm
FOREX Press I. J. of Electrical & Electronics Research
Support Open Access
  • Home/
  • IJEER-120404

Research Article |

Fast Charging System of Electric Vehicle Using Optimized Isolated Multi-Port DC-DC Converter based on Modified Coati Optimization Algorithm

Author(s): Chithras Thangavel* and Vinoth Krishnamoorthy

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 4

Publisher : FOREX Publication

Published : 15 October 2024

e-ISSN : 2347-470X

Page(s) : 1142-1150

DOI: https://doi.org/10.37391/IJEER.120404

Abstract

Once clean, renewable energy sources are used to charge the batteries in electric vehicles (EVs), the vehicles can produce zero gas emissions, greatly improving the environment. EVs and other distributed energy storage devices can be used in a smart microgrid to deliver energy to the loads throughout highest times, reducing the impact of load shading and improving the quality of the electricity. To achieve these goals of energy balance between EVs, the grid, and renewable energy sources, an isolated hybrid multiport converter is required. This paper develops an optimized isolated multi-port DC-DC converter for controlling power flow in multiple directions in an EV. This converter contains a dc-dc unidirectional converter, a bidirectional dc-dc converter, a triple active bridge (TAB), and a multi-port dual active bridge converter. Additionally, the Optimal Controller (OC) is developed to manage the power between the EV and the battery. The power flow is achieved by using the Modified Coati Optimization Algorithm (MCOA). In the MCOA, the optimal gain parameter of the converter is selected. In the planned technique, a bidirectional DC-DC converter can be considered to interconnect the EV battery towards deliver bidirectional power flow ability with the battery. The proposed approach is executed in MATLAB, and presentations are assessed by considering performance measures. Moreover, it is contrasted with the traditional approaches of particle swarm optimization (PSO) and grey wolf optimization (GWO).

Keywords: Triple active bridge, Modified coati optimization algorithm, bidirectional DC-DC converter, electric vehicle, battery.




Chithras Thangavel*, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology; Email: chithras.gv@gmail.com

Vinoth Krishnamoorthy, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology; Email: vinothkrishna03@gmail.com

    [1] S. S. G. Acharige, M. E. Haque, M. T. Arif, N. Hosseinzadeh, K. N. Hasan and A. M. T. Oo, "Review of Electric Vehicle Charging Technologies, Standards, Architectures, and Converter Configurations," in IEEE Access, vol. 11, pp. 41218-41255, 2023, doi: 10.1109/ACCESS.2023.3267164.
    [2] Karneddi, Harish, and Deepak Ronanki. “Reconfigurable Battery Charger with a Wide Voltage Range for Universal Electric Vehicle Charging Applications.” IEEE Transactions on Power Electronics, vol. 38, no. 9, Sep. 2023, pp. 10606-10610. https://doi.org/10.1109/tpel.2023.3289394.
    [3] Mateen, Suwaiba & Amir, Mohammad & Haque, Ahteshamul & Bakhsh, Farhad. (2023). Ultra-fast charging of electric vehicles: A review of power electronics converter, grid stability and optimal battery consideration in multi-energy systems. Sustainable Energy, Grids and Networks. 35. 101112. 10.1016/j.segan.2023.101112.
    [4] Saha, Jaydeep & Kumar, Nishant & Panda, Sanjib. (2023). Adaptive Grid-Supportive Control for Solar-Power Integrated Electric-Vehicle Fast Charging Station. IEEE Transactions on Energy Conversion. PP. 1-11. 10.1109/TEC.2023.3260191.
    [5] Ramesh Jatoth and B. Mangu (2023), Grid-Tied Solar Power Sharing with V2G and G2V Power Exchange with Dual Bridge Integrated Electrical Vehicle. IJEER 11(1), 192-201. DOI: 10.37391/IJEER.110127.
    [6] Varun krishna paravasthu, Balasubbareddy Mallala and B. Mangu (2024), An Enhanced Multi-Objective Evolutionary Optimization Algorithm based on Decomposition for Optimal Placement of Distributed Generation and EV Fast Charging Stations in Distribution System. IJEER 12(2), 575-580. DOI: 10.37391/IJEER-120232.
    [7] Karmaker, Ashish & Hossain, Md. Alamgir & Pota, Hemanshu & Onen, Ahmet & Jung, Jaesung. (2023). Energy Management System for Hybrid Renewable Energy-Based Electric Vehicle Charging Station. IEEE Access. PP. 1-1. 10.1109/ACCESS.2023.3259232.
    [8] Assadi, Seyed & Gong, Zhe & Coelho, Nathan & Zaman, Mohammad & Trescases, Olivier. (2023). Modular Multi-Port Electric-Vehicle DC Fast-Charge Station Assisted by a Dynamically Reconfigurable Stationary Battery. IEEE Transactions on Power Electronics. PP. 1-12. 10.1109/TPEL.2023.3237622.
    [9] Zanatta, Nicola et al. “A Two-Stage DC-DC Isolated Converter for Battery-Charging Applications.” IEEE Open Journal of Power Electronics 4 (2023): 343-356.
    [10] Woo, Jemin & Han, Seohee & Ahn, Changsun. (2024). SDP-Based Battery Charging Controller for Hybrid Electric Vehicles in Preparation for Zero-Emission Zone Drives. International Journal of Precision Engineering and Manufacturing-Green Technology. 10.1007/s40684-024-00609-9.
    [11] Manickam, Vinoth Kumar, and K. Dhayalini. "Hybrid optimized control of bidirectional off-board electric vehicle battery charger integrated with vehicle-to-grid." Journal of Energy Storage 86 (2024): 111008.
    [12] Barker, Teja, Arnab Ghosh, Chiranjit Sain, Furkan Ahmad, and Luluwah Al-Fagih. "Efficient ANFIS-driven power extraction and control strategies for PV-bess integrated electric vehicle charging station." Renewable Energy Focus 48 (2024): 100523.
    [13] Bajpai, R. S., Apoorva Srivastava, Amarjeet Singh, and Shailesh Kumar. "Intelligent Control of DC Microgrid Involving Multiple Renewables for Fast Charging Control of Electric Vehicles." Electric Power Components and Systems (2024): 1-22.
    [14] Saha, Jaydeep, Nishant Kumar, and Sanjib Kumar Panda. "Adaptive grid-supportive control for solar-power integrated electric-vehicle fast charging station." IEEE Transactions on Energy Conversion 38, no. 3 (2023): 2034-2044.
    [15] Hu, Qiuhao, Mohammad Reza Amini, Ashley Wiese, Julia Buckland Seeds, Ilya Kolmanovsky, and Jing Sun. "Electric vehicle enhanced fast charging enabled by battery thermal management and model predictive control." IFAC-PapersOnLine 56, no. 2 (2023): 10684-10689.
    [16] Dehghani, Mohammad, Zeinab Montazeri, Eva Trojovská, and Pavel Trojovský. "Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems." Knowledge-Based Systems 259 (2023): 110011.Hashim, Fatma A., Essam H. Houssein, Reham R. Mostafa, Abdelazim G. Hussien, and Fatma Helmy. "An efficient adaptive-mutated coati optimization algorithm for feature selection and global optimization." Alexandria Engineering Journal 85 (2023): 29-48.
    [17] Chakravarthy, Sannasi, Bharanidharan Nagarajan, V. Vinoth Kumar, T. R. Mahesh, R. Sivakami, and Jonnakuti Rajkumar Annand. "Breast tumor classification with enhanced transfer learning features and selection using chaotic map-based optimization." International Journal of Computational Intelligence Systems 17, no. 1 (2024).

Chithras Thangavel and Vinoth Krishnamoorthy (2024), Fast Charging System of Electric Vehicle Using Optimized Isolated Multi-Port DC-DC Converter based on Modified Coati Optimization Algorithm. IJEER 12(4), 1142-1150. DOI: 10.37391/IJEER.120404.