Optimizing Hybrid Solar EV Charging Station with On-board EV Battery Management System



EOI: 10.11242/viva-tech.01.08.045

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Citation

Bhavesh Lade, Tanay Gotarane, Omkar Kargutkar, Sahil Khandzode, "Optimizing Hybrid Solar EV Charging Station with On-board EV Battery Management System", VIVA-IJRI Volume 1, Issue 8, Article 1, pp. 1-7, 2025. Published by Electrical Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

“Optimizing Hybrid Solar EV Charging Station with On-board EV Battery Management System” Electric vehicle (EV) adoption is growing, and in order to significantly reduce grid stress and dependency on fossil fuels, efficient, affordable, and ecological charging options are required. An optimized hybrid solar EV charging station with an on-board battery management system (BMS) is designed and simulated in this study using MATLAB Simulink. Contrary to traditional charging models, this system uses a real-time power balancing algorithm that, in response to current supply and demand, dynamically modifies the energy flow between grid power, solar photovoltaic (PV) panels, and battery storage. A bidirectional charging system allows for Vehicle-to-Grid (V2G) and Vehicle-to-Home (V2H) capabilities, while a high-efficiency DC-DC converter system with Maximum Power Point Tracking (MPPT) guarantees efficient solar energy usage. To extend battery life and avoid overcharging or deep discharge, the on-board BMS, in conjunction with sophisticated logic-based charge control, controls State of Charge (SOC), State of Health (SOH), and thermal stability. By displaying steady charging voltage and current waveforms, effective energy distribution, and seamless power transitions between sources, MATLAB Simulink models show how successful the system is. This hybrid system offers an economical, scalable, and grid-supportive EV charging option, guaranteeing long-term viability in transportation networks powered by renewable energy.

Keywords

Battery Management System (BMS), Electric Vehicles (EVs), Hybrid Solar Charging, MATLAB Simulink, Vehicle-to-Grid (V2G).

References

  1. S. Bhadra, P. Mukhopadhyay, S. Bhattacharya, S. Debnath, S. Jhampati and A. Chandra, "Design and Development of Solar Power Hybrid Electric Vehicles Charging Station," 2020 IEEE 1st International Conference for Convergence in Engineering (ICCE), Kolkata, India, 2020, pp. 285-289, doi: 10.1109/ICCE50343.2020.9290651.
  2. S. Thangavel, D. Mohanraj, T. Girijaprasanna, S. Raju, C. Dhanamjayulu and S. M. Muyeen, "A Comprehensive Review on Electric Vehicle: Battery Management System, Charging Station, Traction Motors," in IEEE Access, vol. 11, pp. 20994-21019, 2023, doi: 10.1109/ACCESS.2023.3250221.
  3. S. Thangavel, D. Mohanraj, T. Girijaprasanna, S. Raju, C. Dhanamjayulu and S. M. Muyeen, "A Comprehensive Review on Electric Vehicle: Battery Management System, Charging Station, Traction Motors," in IEEE Access, vol. 11, pp. 20994-21019, 2023, doi: 10.1109/ACCESS.2023.3250221.
  4. J. K. Monny, M. A. Al Noman, R. K. Das and M. A. Razzak, "Electric Vehicle Charging Station with Solar-Grid Interactive System for Maximum Power Exchange," 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE),Chittagong,Bangladesh,2023,pp.1-6,doi: 1109/ECCE57851.2023.10101531.
  5. S. Thangavel, D. Mohanraj, T. Girijaprasanna, S. Raju, C. Dhanamjayulu and S. M. Muyeen, "A Comprehensive Review on Electric Vehicle: Battery Management System, Charging Station, Traction Motors," in IEEE Access, vol. 11, pp. 20994-21019, 2023, doi: 10.1109/ACCESS.2023.3250221.
  6. R. R. Kumar, C. Bharatiraja, K. Udhayakumar, S. Devakirubakaran, K. S. Sekar and L. Mihet-Popa, "Advances in Batteries, Battery Modeling, Battery Management System, Battery Thermal Management, SOC, SOH, and Charge/Discharge Characteristics in EV Applications," in IEEE Access, vol. 11, pp. 105761-105809, 2023, doi: 10.1109/ACCESS.2023.3318121.
  7. B. Premkumar, K. Prithivi Raj, T. Mathew, U. N. Karunakaran, S. Nethravathi and V. Murali, "Hybrid Electric Vehicle Charging Station Design - A Case Study," 2022 22nd National Power Systems Conference (NPSC), New Delhi, India, 2022, pp. 302-307, doi: 10.1109/NPSC57038.2022.10069700.
  8. National Power Systems Conference (NPSC), New Delhi, India, 2022, pp. 302-307, doi: 10.1109/NPSC57038.2022.10069700.
  9. M. R Khalid, I. A. Khan, S. Hameed, M. S. J. Asghar and J. Ro, "A Comprehensive Review on Structural Topologies, Power Levels, Energy Storage Systems, and Standards for Electric Vehicle Charging Stations and Their Impacts on Grid," in IEEE Access, vol. 9, pp. 128069-128094, 2021, 10.1109/ACCESS.2021.3112189.
  10. S. Pareek, A. Sujil, S. Ratra and R. Kumar, "Electric Vehicle Charging Station Challenges and Opportunities: A Future Perspective," 2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3), shmangarh, India, 2020, pp. 1-6, doi: 10: 10.1109/ICONC345789.2020.9117473.
  11. M. A. Hannan, M. M. Hoque, A. Hussain, Y. Yusof and P. J. Ker, "State-of-the-Art and Energy Management System of Lithium-Ion Batteries in Electric Vehicle Applications: Issues and Recommendations," in IEEE Access, vol. 6, pp. 19362-19378, 2018, doi:10.1109/ACCESS.2018.2817655.
  12. K. Chaudhari, A. Ukil, K. N. Kumar, U. Manandhar and S. K. a, "Hybrid Optimization for Economic Deployment of ESS in PV-Integrated EV Charging Stations," in IEEE Transactions on Industrial Informatics, vol. 14, no. 1, pp. 106-116, Jan. 2018, 10.: 10.: 10.1109/TII.2017.2713481.
  13. Alok Jain, Suman Bhullar, Operating modes of grid integrated PV-solar based electric vehicle charging system- a comprehensive review, e-Prime - Advances in Electrical Engineering, Electronics and Energy, Volume 8, 2024, 100519, ISSN 2772-6711, https://doi.org/10.1016/j.prime.2024.100519.
  14. Nikhil R. Bisen, Chaitanya D. a J. Chaudhari, Akhilesh S. Fasate, Mithilesh Jethmalaani, Shr, Shruti M. Charde, “Hybrid Charging Station,” in International al of Advanced Research in Science, Communication and Technology (IJARSCT)Volume 2, Issue 6, June 2022, doi: 10.48175/IJARSCT-5167
  15. H. Zhang, Q. Miao, X. Zhang, and Z. Liu, ‘‘An improved unscented particle filter approach for lithium-ion battery remaining useful life prediction,’’ Microelectron. Rel., vol. 81, no. 24, pp. 288–298, Feb. 2018.
  16. M. kappan and and N. Sathiyathiyamoorthy, ‘‘M, ‘‘Modeling, sng, state of cof charge estimation, and charging of lithium-ion battery in electric vehicle: A review,’’ Int. J. Energy Res., vol. 46, no. 3, pp. 2141–2165, Mar. 2022.
  17. A. Bhattacharjee, A. Verma, S. Mishra, and T. K. Saha, ‘‘Estimating state of charge for xEV batteries using 1D convolutional neural networks and transfer learning,’’ IEEE Trans. Veh. Technol., vol. 70, no. 4, pp. 3123–3135, Apr. 2021.
  18. T. Hein, A. Ziegler, D. Oeser, and A. Ackva, ‘‘A capacity-based equalization method for aged lithium-ion batteries in electric vehicles,’’ Electr. Power Syst. Res., vol. 191, Feb. 2021, Art. no. 106898.
  19. Y. Xu, M. Hu, A. Zhou, Y. Li, S. Li, C. Fu, and C. Gong, ‘‘State of charge estimation for lithium-ion batteries based on adaptive dual Kalman filter,’’ Appl. Math. Model., vol. 77, pp. 1
  20. A. K. M. Ahasan Habib, S. M. A. Motakabber, M. I. Ibrahimy, andM. K. Hasan, ‘‘Active voltage balancing circuit using single switchedcapacitor and series LC resonant energy carrier,’’ Electron. Lett., vol. 56, no. 20, pp. 1036–1039, Sep. 2020.255–1272, Jan. 2020.
  21. M. F. Samadi and M. Saif, ‘‘State-space modeling and observer design of Li-ion batteries using Takagi–Sugeno fuzzy system,’’ IEEE Trans. Control Syst. Technol., vol. 25, no. 1, pp. 301–308, Jan. 2017.