AI-Enabled Energy Management for Solar Electric Vehicles with Conventional Grid–Integrated DC Microgrid Architecture

This paper presents the design, modeling, and optimization of an Artificial Intelligence (AI)-based solar-powered electric vehicle (SPEV). While solar-electric propulsion promises clean and sustainable mobility, practical range and reliability are constrained by intermittent irradiance, battery degradation, and dynamic driving patterns. We integrate machine learning and control intelligence across three pillars: (1) energy harvesting and power conversion, (2) battery health-aware energy management, and (3) driver/route assistance. A block-level architecture is proposed along with an AI control flow for multi-objective optimization—maximizing range, preserving State of Health (SOH), and minimizing lifecycle cost. We develop a simulation framework and demonstrate improvements in energy efficiency, range, and charge/discharge smoothness compared with a rule-based baseline. Results indicate up to 12–22% efficiency gains across typical urban duty cycles. We conclude with deployment considerations, limitations, and future research directions.

Solar Electric Vehicle, Artificial Intelligence, Energy Management System, Reinforcement Learning, Battery SOC/SOH, MPPT, Optimal Routing.

1. S. Bull, “Renewable Energy and Transportation,” IEEE Power & Energy, 2001. [Google Scholar] [Crossref]

2. T. Esram and P. Chapman, “Comparison of PV MPPT Techniques,” IEEE Transactions on Energy Conversion, 2007. [Google Scholar] [Crossref]

3. J. P. A. Bastos et al., “Battery State of Charge Estimation—A Review,” Applied Energy, 2020. [Google Scholar] [Crossref]

4. L. Bertoni et al., “Energy Management Strategies for Hybrid and EVs,” Control Engineering Practice, 2019. [Google Scholar] [Crossref]

5. R. Sutton and A. Barto, Reinforcement Learning: An Introduction, MIT Press, 2018. [Google Scholar] [Crossref]

6. A. Barre et al., “A Review on Lithium-Ion Battery Ageing Mechanisms,” Journal of Power Sources, 2013. [Google Scholar] [Crossref]

7. S. Han et al., “Eco-Routing for Electric Vehicles,” IEEE ITS, 2016. [Google Scholar] [Crossref]

8. M. Hannan et al., “Battery Management Systems and SOC/SOH Estimation,” Renewable and Sustainable Energy Reviews, 2017. [Google Scholar] [Crossref]

9. H. He et al., “State of Charge Estimation Using Kalman Filtering,” Journal of Power Sources, 2011. [Google Scholar] [Crossref]

10. P. P. Shamsi and M. Ferdowsi, “MPPT in PV Applications,” IEEE IECON, 2010. [Google Scholar] [Crossref]

11. S. Manivannan and E. Kaleeswaran, “Solar powered electric vehicle,” First International Conference on Sustainable Green Buildings and Communities (SGBC), pp. 1-4, Dec. 2016, doi: 10.1109/SGBC.2016.7936074. [Google Scholar] [Crossref]

12. G. Carli and S. S. Williamson, “Technical Considerations on Power Conversion for Electric and Plug-in Hybrid Electric Vehicle Battery Charging in Photovoltaic Installations,” IEEE Transactions on Power Electronics, vol. 28, no. 12, pp. 5784-5792, Dec. 2013, doi: [Google Scholar] [Crossref]

13. 1109/TPEL.2013.2260562. [Google Scholar] [Crossref]

14. J. Qian and Z. Zhong, “Simulation analysis for steering mechanism of solar-powered electric vehicle,” International Conference of Information Science And Management Engineering (ISME), pp. 262-26, Aug. 2010, doi: 10.1109/ISME.2010.206. [Google Scholar] [Crossref]

15. C. Chellaiah, T. S. Balaji, and C. Mukuntharaj, “Design of a Fuel Free Electric Vehicle Using Fuzzy Logic for Pollution Control,” Procedia Engineering, vol. 38, pp. 1547-1558, 2012, doi: 10.1016/j.proeng.2012.06.190. [Google Scholar] [Crossref]

16. M. Tariq, S. Bhardwaj, and M. Rashid, “Effective battery charging system by solar energy using C programming and microcontroller,” American journal of electrical power and energy systems, vol. 2, no. 2, pp. 41-43, Mar. 2013, doi: 10.11648/j.epes.20130202.12. [Google Scholar] [Crossref]

17. T. L. Gibson and N. A. Kelly, “Solar photovoltaic charging of lithium-ion batteries,” Journal of Power Sources, vol. 195, no. 12, pp. 3928-3932, Jun. 2010, doi: 10.1016/j.jpowsour.2009.12.082. [Google Scholar] [Crossref]

18. M. H. Au, J. K. Liu, J. Fang, Z. L. Jiang, W. Susilo, and J. Zhou, “A new payment system for enhancing location privacy of electric vehicles,” IEEE transaction Vehicle Technology, vol. 63, pp. 3-18, 2014, doi: 10.1109/TVT.2013.2274288. [Google Scholar] [Crossref]

19. M. Pahlevaninezhad, D. Hamza, and P. K. Jain, “An improved layout strategy for common-mode EMI suppression applicable to high-frequency planar transformers in high-power DC/DC converters used for electric vehicles,” IEEE Transactions on Power Electronics, vol. 29, no. 3, pp. 1211-1228, 2014, doi: 10.1109/TPEL.2013.2260176. [Google Scholar] [Crossref]

20. S. Roy, V. K. Singh, and D. P. Mishra, “Sun’s Position Tracking by Solar Angles Using MATLAB,” International Conference on Renewable Energy Integration into Smart Grids: A Multidisciplinary Approach to Technology Modelling and Simulation (ICREISG), 2020, pp. 5-9, doi: 10.1109/ICREISG49226.2020.9174533. [Google Scholar] [Crossref]

21. D. P. Mishra, S. Chakraborty, and T. K. Tripathy, “Voltage Regulation of PV Cell using PID Controller,” International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE), 2018, pp. 206-211, doi: [Google Scholar] [Crossref]

22. 1109/ICRIEECE44171.2018.9008536. [Google Scholar] [Crossref]

23. B. Pakkiraiah and G. D. Sukumar, “Research Survey on Various MPPT Performance Issues to Improve the Solar PV System Efficiency,” Journal of Solar Energy, vol. 2016, doi: [Google Scholar] [Crossref]

24. 1155/2016/8012432. [Google Scholar] [Crossref]

25. H. Wei, Y. Zhong, L. Fan, Q. Ai, W. Zhao, R. Jing, and Y. Zhang, “Design and validation of a battery management system for solar-assisted electric vehicles,” Journal of Power Sources, vol. 513, 2021, doi: 10.1016/j.jpowsour.2021.230531. [Google Scholar] [Crossref]

26. M. A. Spina et al., “Some Issues on the Design of a Solar Vehicle Based on Hybrid Energy System,” International Journal of Energy Engineering, vol. 2, no. 1, pp. 15-21, 2012, doi: [Google Scholar] [Crossref]

27. 5923/j.ijee.20120201.03. [Google Scholar] [Crossref]

28. X. Hu, C. Zou, C. Zhang, and Y. Li, “Technological Developments in Batteries: A Survey of Principal Roles, Types, and Management Needs,” IEEE Power and Energy Magazine, vol. 15, no. 5, pp. 20-31, Sept.-Oct. 2017, doi: 10.1109/MPE.2017.2708812. [Google Scholar] [Crossref]

29. M. Caspar, T. Eiler, and S. Hohmann, “Comparison of active battery balancing systems,” Proc. IEEE Vehicle Power Propuls. Conf. (VPPC), pp. 1-8, Oct. 2014, doi: 10.1109/VPPC.2014.7007027. [Google Scholar] [Crossref]

30. J. Cao, N. Schofield, and A. Emadi, “Battery balancing methods: A comprehensive review,” Proc. IEEE Vehicle Power Propuls. Conf. (VPPC), pp. 1-6, Sep. 2008, doi: [Google Scholar] [Crossref]

31. 1109/VPPC.2008.4677669. [Google Scholar] [Crossref]

32. W. C. Lee, D. Drury, and P. Mellor, “Comparison of passive cell balancing and active cell balancing for automotive batteries,” Proc. IEEE Vehicle Power Propuls. Conf. (VPPC), pp. 1-7, Sep. 2011, doi: 10.1109/VPPC.2011.6043108. [Google Scholar] [Crossref]

33. W. Han, L. Zhang, and Y. Han, “Computationally efficient methods for state of charge approximation and performance measure calculation in series-connected battery equalization systems,” Journal of Power Sources, vol. 286, pp. 145-158, Jul. 2015, doi: [Google Scholar] [Crossref]

34. 1016/j.jpowsour.2015.03.123. [Google Scholar] [Crossref]

35. G. J. Osório et al., “Rooftop photovoltaic parking lots to support electric vehicles charging: A comprehensive survey,” International Journal of Electrical Power & Energy Systems, vol. 133, 2021, doi: 10.1016/j.ijepes.2021.107274. [Google Scholar] [Crossref]

36. T. Shimizu, M. Hirakata, T. Kamezawa, and H. Watanabe, “Generation control circuit for photovoltaic modules,” IEEE Transactions on Power Electronics, vol. 16, no. 3, pp. 293-300, May 2001, doi: 10.1109/63.923760. [Google Scholar] [Crossref]

37. V. Sandeep, S. Shastri, A. Sarkar, and S. R. Salkuti, “Modeling of battery pack sizing for electric vehicles,” International Journal of Power Electronics and Drive System (IJPEDS), vol. 11, No. 4, pp. 1987-1994, Dec. 2020, doi: 10.11591/ijpeds.v11.i4.pp1987 1994. [Google Scholar] [Crossref]

38. T. Salmi, M. Bouzguenda, A. Gastli, and A. Masmoudi, “MATLAB/Simulink Based Modelling of Solar Photovoltaic Cell,” International Journal of Renewable Energy Research, vol. 2, no. 2, pp. 213-218, 2012. [Google Scholar] [Crossref]

39. M. G. Villalva, J. R. Gazoli, and E. R. Filho, “Modeling and circuit-based simulation of photovoltaic arrays,” Brazilian Power Electronics Conference, 2009, pp. 1244-1254, doi: 10.1109/COBEP.2009.5347680. [Google Scholar] [Crossref]

40. S. R. Salkuti, “Energy Storage and Electric Vehicles: Technology, Operation, Challenges, and Cost-Benefit Analysis,” International Journal of Advanced Computer Science and Applications, vol. 12, no. 4, pp. 40-45, 2021, doi: 10.14569/IJACSA.2021.0120406. [Google Scholar] [Crossref]

41. M. G. Villalva, J. R. Gazoli, and E. R. Filho, “Comprehensive approach to modelling and simulation of photovoltaic arrays,” IEEE Transaction on Power Electronics, vol. 24, no. 5, pp. 1198-1208, 2009, doi: 10.1109/TPEL.2009.2013862. [Google Scholar] [Crossref]

42. K. Keshavani, J. Joshi, V. Trivedi, and M. Bhavsar, “Modelling and Simulation of Photovoltaic Array using Matlab/Simulink,” International Journal of Engineering Development and Research, vol. 2, no. 4, pp. 3742-3751, 2014. [Google Scholar] [Crossref]

43. S. Rustemli and F. Dincer, “Modeling of Photovoltaic Panel and Examining Effects of Temperature in Matlab/Simulink,” Electronics and Electrical Engineering, vol. 109, no. 3, pp. 35-40, 2011. [Google Scholar] [Crossref]

44. S. R. Salkuti, “Optimal Operation of Microgrid considering Renewable Energy Sources, Electric Vehicles and Demand Response,” E3S Web of Conferences, vol. 87, pp. 1-6, Mar. 2019, doi: 10.1051/e3sconf/20198701007. [Google Scholar] [Crossref]

45. S. Nema, R. K. Nema, and G. Agnihotri, “MATLAB/Simulink based study of photovoltaic cells/modules/array and their experimental verification,” International journal of Energy and Environment, vol. 1, no. 3, pp. 487-500, 2010. [Google Scholar] [Crossref]

46. A. R. Bhatti, Z. Salam, M. J. B. A. Aziz, K. P. Yee, and R. H. Ashique, “Electric vehicles charging using photovoltaic: Status and technological review,” Renewable and Sustainable Energy Reviews, vol. 54, pp. 34-47, 2016, doi: 10.1016/j.rser.2015.09.091. [Google Scholar] [Crossref]

47. M. Rashid, Power Electronics: Circuits, Devices & Applications, 4th Edition, Pearson Education, pp. 166-225, 2004. [Google Scholar] [Crossref]

48. T. Yogi and Dr. D. Birla, “Sustainable Power Solutions for LHB Coaches: Integrating Solar PV and MLI-Based Harmonic Mitigation in a Hybrid Distributed Generation System for Railway HOGs,” International Journal of Innovative Research in Technology, vol. 12, no. 2, pp. 1275–1283, 2025, Accessed: Sept. 20, 2025. [Online]. Available: https://ijirt.org/article?manuscript=182185 [Google Scholar] [Crossref]

49. T. Yogi and Dr. Dinesh Birla, “Artificial Intelligence for Photovoltaic Energy: Smart Forecasting and Efficient Management,” International Journal of Research and Analytical Reviews, vol. 12, no. 4, 2025, doi: 10.56975/IJRAR.V12I4.320699. [Google Scholar] [Crossref]

50. Tapesh Yogi, “REAL-TIME FAULT DETECTION AND DIAGNOSIS OF SOLAR PHOTOVOLTAIC SYSTEMS FOR RAILWAY MICROGRID USING IOT AND MACHINE LEARNING,” Int J Appl Math (Sofia), vol. 38, no. 11s, pp. 1169–1184, Nov. 2025, doi: [Google Scholar] [Crossref]

51. 12732/ijam.v38i11s.1240. [Google Scholar] [Crossref]

52. T. Yogi, D. Birla, and D. K. Dhaked, “Design and Implementation of Solar PV-Based Railway Microgrid for Linke Hofmann Busch Coaches,” International Journal of Research and Scientific Innovation, vol. 12, no. 10, pp. 1669–1682, Nov. 2025, doi: 10.51244/IJRSI.2025.1210000146. [Google Scholar] [Crossref]

53. V. Singh, S. Ali, T. Yogi, D. Birla, and A. S. Naruka, “Minimizing THD in Railway’s HOG using MLI in Hybrid Distributed Generation System,” pp. 51–58, July 2025, doi: [Google Scholar] [Crossref]

54. 64289/RERICPROC.25.0105.8942722. [Google Scholar] [Crossref]

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