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Development of prototype battery management system for PV system

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  • Okay, Kamil
  • Eray, Sermet
  • Eray, Aynur

Abstract

An energy and battery management systems (EMS/BMS) have a great importance in PV-battery system to increase the system efficiency and battery life. In this study, a prototype battery management system (BMS) has been designed and implemented for grid-connected residential-PV system with lithium-ion battery (LIB). Besides the main function of the all BMS which is to keep the LIBs within the safe-operation condition, by measuring/monitoring and controlling the battery parameters during the charge/discharge cycles, this designed BMS manages also the energy flow between PV system, battery, grid and load. In the designed BMS, there is a measuring unit (to measure current, voltage and temperatures), a control unit (to control the energy flows in the system), balancing circuit (capable of balancing in each of the four modules with 7LIB connected in series), the battery circuit (to fix the batteries well and measure the charge/discharge currents on the battery module).

Suggested Citation

  • Okay, Kamil & Eray, Sermet & Eray, Aynur, 2022. "Development of prototype battery management system for PV system," Renewable Energy, Elsevier, vol. 181(C), pages 1294-1304.
    • Handle: RePEc:eee:renene:v:181:y:2022:i:c:p:1294-1304
    DOI: 10.1016/j.renene.2021.09.118
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    Cited by:

    1. Angel Recalde & Ricardo Cajo & Washington Velasquez & Manuel S. Alvarez-Alvarado, 2024. "Machine Learning and Optimization in Energy Management Systems for Plug-In Hybrid Electric Vehicles: A Comprehensive Review," Energies, MDPI, vol. 17(13), pages 1-39, June.
    2. Mohammed M. Alhaider & Ziad M. Ali & Mostafa H. Mostafa & Shady H. E. Abdel Aleem, 2023. "Economic Viability of NaS Batteries for Optimal Microgrid Operation and Hosting Capacity Enhancement under Uncertain Conditions," Sustainability, MDPI, vol. 15(20), pages 1-24, October.
    3. Saleh Mohammed Shahriar & Erphan A. Bhuiyan & Md. Nahiduzzaman & Mominul Ahsan & Julfikar Haider, 2022. "State of Charge Estimation for Electric Vehicle Battery Management Systems Using the Hybrid Recurrent Learning Approach with Explainable Artificial Intelligence," Energies, MDPI, vol. 15(21), pages 1-26, October.

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