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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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    1. Wang, Yujie & Tian, Jiaqiang & Sun, Zhendong & Wang, Li & Xu, Ruilong & Li, Mince & Chen, Zonghai, 2020. "A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    2. Lin, Qian & Wang, Jun & Xiong, Rui & Shen, Weixiang & He, Hongwen, 2019. "Towards a smarter battery management system: A critical review on optimal charging methods of lithium ion batteries," Energy, Elsevier, vol. 183(C), pages 220-234.
    3. Balakumar Balasingam & Mostafa Ahmed & Krishna Pattipati, 2020. "Battery Management Systems—Challenges and Some Solutions," Energies, MDPI, vol. 13(11), pages 1-19, June.
    4. Ren, Hongbin & Zhao, Yuzhuang & Chen, Sizhong & Wang, Taipeng, 2019. "Design and implementation of a battery management system with active charge balance based on the SOC and SOH online estimation," Energy, Elsevier, vol. 166(C), pages 908-917.
    5. Jaiswal, Abhishek, 2017. "Lithium-ion battery based renewable energy solution for off-grid electricity: A techno-economic analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 922-934.
    6. Jose Luis Torres-Moreno & Antonio Gimenez-Fernandez & Manuel Perez-Garcia & Francisco Rodriguez, 2018. "Energy Management Strategy for Micro-Grids with PV-Battery Systems and Electric Vehicles," Energies, MDPI, vol. 11(3), pages 1-13, February.
    7. Yang, Jufeng & Xia, Bing & Huang, Wenxin & Fu, Yuhong & Mi, Chris, 2018. "Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis," Applied Energy, Elsevier, vol. 212(C), pages 1589-1600.
    8. Yinjiao Xing & Eden W. M. Ma & Kwok L. Tsui & Michael Pecht, 2011. "Battery Management Systems in Electric and Hybrid Vehicles," Energies, MDPI, vol. 4(11), pages 1-18, October.
    9. Ruiz, V. & Pfrang, A. & Kriston, A. & Omar, N. & Van den Bossche, P. & Boon-Brett, L., 2018. "A review of international abuse testing standards and regulations for lithium ion batteries in electric and hybrid electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1427-1452.
    10. Bianchi, M. & Branchini, L. & Ferrari, C. & Melino, F., 2014. "Optimal sizing of grid-independent hybrid photovoltaic–battery power systems for household sector," Applied Energy, Elsevier, vol. 136(C), pages 805-816.
    11. Abu Eldahab, Yasser E. & Saad, Naggar H. & Zekry, Abdalhalim, 2016. "Enhancing the design of battery charging controllers for photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 646-655.
    12. Ghafoor, Abdul & Munir, Anjum, 2015. "Design and economics analysis of an off-grid PV system for household electrification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 496-502.
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    Cited by:

    1. 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.
    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. 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.

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