Smart Control Systems for Solar Electric Vehicles: A Microcontroller and Sensor-Based Approach

Year : 2024 | Volume : 11 | Issue : 03 | Page : 33 43
    By

    Paresh M. Sangadiya,

  • Sagar M. Bechara,

  • Mihir D. Gajjar,

  1. Assistant professor, Diploma in Automobile Engineering, Atmiya University, Kalavad Rd, Maruti Nagar, Nana Mava, Rajkot, Gujarat, India
  2. Assistant professor, Diploma in Automobile Engineering, Atmiya University, Kalavad Rd, Maruti Nagar, Nana Mava, Rajkot, Gujarat, India
  3. Lecturer, Diploma in Automobile Engineering, Atmiya University, Kalavad Rd, Maruti Nagar, Nana Mava, Rajkot, Gujarat, India

Abstract

The use of electric vehicles has significantly increased during the last ten years. Some actions being taken to halt climate change and reverse the effects of global warming include the following. An electric car that is powered by solar energy—generated by solar panels mounted on the outside of the vehicle—is known as a solar vehicle. As everyone knows, middle-class families cannot afford the constantly growing costs of gas and new cars. An automobile with an electric motor that is mostly charged by energy from solar panels mounted on the vehicle is known as a solar electric vehicle. The car’s battery system stores the electrical energy that these solar panels convert sunlight into, which powers the electric engine. There are several benefits to solar electric vehicles over traditional gasoline-powered cars. Since they don’t emit any toxic substances, they are, first and foremost, far more environmentally friendly. Second, because there is no need to buy fuel and solar energy is free, they are more economical to run. Because of this, the range of solar-powered cars may be restricted, necessitating additional charging from an external power source like an electrical outlet or charging station.

Keywords: Solar car, microcontroller, charge controller, battery, photovoltaic panel

[This article belongs to Journal of Microelectronics and Solid State Devices ]

How to cite this article:
Paresh M. Sangadiya, Sagar M. Bechara, Mihir D. Gajjar. Smart Control Systems for Solar Electric Vehicles: A Microcontroller and Sensor-Based Approach. Journal of Microelectronics and Solid State Devices. 2024; 11(03):33-43.
How to cite this URL:
Paresh M. Sangadiya, Sagar M. Bechara, Mihir D. Gajjar. Smart Control Systems for Solar Electric Vehicles: A Microcontroller and Sensor-Based Approach. Journal of Microelectronics and Solid State Devices. 2024; 11(03):33-43. Available from: https://journals.stmjournals.com/jomsd/article=2024/view=189935


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References

1.   Smith, J., Johnson, “Transactions on Sustainable Energy: Advances and Challenges in Solar Electric Vehicles” (2022).

2.  Naveen Kumar et al. “Design, different technologies, and challenges related to the development of solar electric vehicles” (2018) The article “Solar Electric Vehicles: A Comprehensive Review” can be found at https://www.researchgate.net/publication/327109663

3. Ahmed Hassan et al. “Solar electric vehicle: multiple solar charging technologies and their efficacy, the integration of solar energy into electrical vehicle charging infrastructure” 2018). This is a review of the solar energy-powered electric vehicle charging infrastructure (https://www.researchgate.net/ publication/325977993).

4. Ankit Kahl et al. An overview of the developments in solar-electric vehicle technology as well as the difficulties with integration, cost, and efficiency are given in this article. (2020).

5. “Solar electric vehicles: current status and future perspective” by Gross, Datta, and Kamal, M. (2019)

6. Kazi, K. (2024b). Modelling and Simulation of Electric Vehicle for Performance Analysis: BEV and HEV Electrical Vehicle Implementation Using Simulink for E-Mobility Ecosystems. In L. D., N. Nagpal, N. Kassarwani, V. Varthanan G., & P. Siano (Eds.), E-Mobility in Electrical Energy Systems for Sustainability (pp. 295-320). IGI Global. https://doi.org/10.4018/979-8-3693-2611-4.ch014 Available at: https://www.igi-global.com/gateway/chapter/full-text-pdf/341172

7. Prashant K Magadum (2024). Machine Learning for Predicting Wind Turbine Output Power in Wind Energy Conversion Systems, Grenze International Journal of Engineering and Technology, Jan Issue, Vol 10, Issue 1, pp. 2074-2080. Grenze ID: 01.GIJET.10.1.4_1 Available at: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=2514&id=8

8. Neeraja, R. G. Kumar, M. S. Kumar, K. K. S. Liyakat and M. S. Vani. (2024). DL-Based Somnolence Detection for Improved Driver Safety and Alertness Monitoring. 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT), Greater Noida, India, 2024, pp. 589-594, doi: 10.1109/IC2PCT60090.2024.10486714. Available at: https://ieeexplore.ieee.org/document/10486714

9. Kazi Kutubuddin Sayyad Liyakat, (2024). Explainable AI in Healthcare. In: Explainable Artificial Intelligence in healthcare System, editors: A. Anitha Kamaraj, Debi Prasanna Acharjya. ISBN: 979-8-89113-598-7. doi: https://doi.org/10.52305/GOMR8163

10. Liyakat Kazi, K. S. (2024). ChatGPT: An Automated Teacher’s Guide to Learning. In R. Bansal, A. Chakir, A. Hafaz Ngah, F. Rabby, & A. Jain (Eds.), AI Algorithms and ChatGPT for Student Engagement in Online Learning (pp. 1-20). IGI Global. https://doi.org/10.4018/979-8-3693-4268-8.ch001

11. Veena, M. Sridevi, K. K. S. Liyakat, B. Saha, S. R. Reddy and N. Shirisha,(2023). HEECCNB: An Efficient IoT-Cloud Architecture for Secure Patient Data Transmission and Accurate Disease Prediction in Healthcare Systems, 2023 Seventh International Conference on Image Information Processing (ICIIP), Solan, India, 2023, pp. 407-410, doi: 10.1109/ICIIP61524.2023.10537627. Available at: https://ieeexplore.ieee.org/document/10537627

12. Rajendra Prasad, Santoshachandra Rao Karanam (2024). AI in public-private partnership for IT infrastructure development, Journal of High Technology Management Research, Volume 35, Issue 1, May 2024, 100496. https://doi.org/10.1016/j.hitech.2024.100496

13. Kazi, K. S. (2024b). IoT Driven by Machine Learning (MLIoT) for the Retail Apparel Sector. In T. Tarnanidis, E. Papachristou, M. Karypidis, & V. Ismyrlis (Eds.), Driving Green Marketing in Fashion and Retail (pp. 63-81). IGI Global. https://doi.org/10.4018/979-8-3693-3049-4.ch004

14. Kutubuddin Kazi, (2024a). Machine Learning (ML)-Based Braille Lippi Characters and Numbers Detection and Announcement System for Blind Children in Learning, In Gamze Sart (Eds.), Social Reflections of Human-Computer Interaction in Education, Management, and Economics, IGI Global. https://doi.org/10.4018/979-8-3693-3033-3.ch002

15. Kazi, K. S. (2024). Artificial Intelligence (AI)-Driven IoT (AIIoT)-Based Agriculture Automation. In S. Satapathy & K. Muduli (Eds.), Advanced Computational Methods for Agri-Business Sustainability (pp. 72-94). IGI Global. https://doi.org/10.4018/979-8-3693-3583-3.ch005

16. Kazi Kutubuddin, (2024c). Vehicle Health Monitoring System (VHMS) by Employing IoT and Sensors, Grenze International Journal of Engineering and Technology, Vol 10, Issue 2, pp- 5367-5374. Available at: https://thegrenze.com/index.php?display=page&view=journalabstract& absid=3371&id=8

17. Kazi Kutubuddin, (2024d). A Novel Approach on ML based Palmistry, Grenze International Journal of Engineering and Technology, Vol 10, Issue 2, pp- 5186-5193. Available at: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=3344&id=8 18.  Kazi Kutubuddin, (2024e). IoT based Boiler Health Monitoring for Sugar Industries, Grenze International Journal of Engineering and Technology, Vol 10, Issue 2, pp. 5178 -5185. Available at: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=3343&id=8

19.  Liyakat, K.K.S., (2024). Explainable AI in healthcare, Explainable Artificial Intelligence in Healthcare Systems, 2024, pp. 271–284. 20. Kazi, K. S. (2024). Machine Learning-Based Pomegranate Disease Detection and Treatment. In M. Zia Ul Haq & I. Ali (Eds.), Revolutionizing Pest Management for Sustainable Agriculture (pp. 469-498). IGI Global. https://doi.org/10.4018/979-8-3693-3061-6.ch019

21. Kazi, K. S. (2025). IoT Technologies for the Intelligent Dairy Industry: A New Challenge. In S. Thandekkattu & N. Vajjhala (Eds.), Designing Sustainable Internet of Things Solutions for Smart Industries (pp. 321-350). IGI Global. https://doi.org/10.4018/979-8-3693-5498-8.ch012

22. Kutubuddin Kazi (2025b). Machine Learning-Driven-Internet of Things(MLIoT) Based Healthcare Monitoring System. In Nilmini Wickramasinghe (Eds.), Impact of Digital Solutions for Improved Healthcare Delivery, IGI Global.

23. Kutubuddin Kazi (2025c). Moonlighting in Carrier, In Muhammad Nawaz Tunio (Eds.), Applications of Career Transitions and Entrepreneurship, IGI Global.

24. Liyakat, K. K. (2025). Heart Health Monitoring Using IoT and Machine Learning Methods. In A. Shaik (Ed.), AI-Powered Advances in Pharmacology (pp. 257-282). IGI Global. https://doi.org/10.4018/979-8-3693-3212-2.ch010

25. Kazi, K. S. (2025f). AI-Powered-IoT (AIIoT)-Based Decision-Making System for BP Patient’s Healthcare Monitoring: KSK Approach for BP Patient Healthcare Monitoring. In S. Aouadni & I. Aouadni (Eds.), Recent Theories and Applications for Multi-Criteria Decision-Making (pp. 205-238). IGI Global. https://doi.org/10.4018/979-8-3693-6502-1.ch008

26. Kazi, K. S. (2025c). AI-Driven-IoT (AIIoT)-Based Decision Making in Drones for Climate Change: KSK Approach. In S. Aouadni & I. Aouadni (Eds.), Recent Theories and Applications for Multi-Criteria Decision-Making (pp. 311-340). IGI Global. https://doi.org/10.4018/979-8-3693-6502-1.ch011

27. Kazi K. (2025d). Artificial Neural Networks for Detecting Malicious Nodes in Internet of Things Networks, A Machine Learning Method. In Ajitkumar Pundge, Beauty Pandey, Daya Shankar Tiwari, (Eds), Multidisciplinary Approach to Cyber Physical Systems and IoT Security, IGI Global.

28. Kazi K(2025e). Machine Learning-Driven-Internet of Medical Things (ML-IoMT) based Healthcare Monitoring System. In Ben Othman Soufiene, Chinmay Chakraborty, (Eds), Responsible AI for Digital Health and Medical Analytics, IGI Global.

29. Kazi K(2025f). Transformation of Agriculture Effectuated by Artificial Intelligence Driven Internet of Things (AIIoT). In Jabulani Garwi, Mufaro Dzingirai, Reason Masengu, (Eds), Integrating Agriculture, Green Marketing Strategies, and AI, IGI Global.

30. Kazi K (2025g). AI-Driven-IoT(AIIoT) Based Decision Making in Kidney Diseases Patient Healthcare Monitoring: KSK Approach for Kidney Monitoring. In Leyla Özgür Polat, Olcay Polat, (Eds), AI-Driven Innovation in Healthcare Data Analytics, IGI Global.

31. Kazi K (2025h). Machine Learning-Driven-Internet of Things (MLIoT) Based Healthcare Monitoring System. In Nilmini Wickramasinghe (Ed), Digitalization and the Transformation of the Healthcare Sector, IGI Global.

32. Kazi K(2025i). Red Deer Algorithm based Polycystic Ovarian Syndrome by using Random Forest Classifier, In Altaf Mulani, Korhan Cengiz, Suman Tripathi, (Eds), AI, Machine Learning, and IoT for Communication and Medical Applications, IGI Global.

33. KKS Liyakat (2024f). Malicious node detection in IoT networks using artificial neural networks, Intelligent Networks: Techniques, and Applications, pp.182, CRC Press.

34. Sultanabanu (2023d). IoT in the Electric Power Industry, Journal of Controller and Converters, 8(3), 1-7.

35. Sultanabanu (2023e). Review of Integrated Battery Charger (IBC) for Electric Vehicles (EV), Journal of Advances in Electrical Devices, 8(3), 1-11.

36. Sultanabanu (2023f). ML in the Electronics Manufacturing Industry, Journal of Switching Hub, 8(3), 9-13

37. Sultanabanu (2023g). IoT in Electrical Vehicle: A Study, Journal of Control and Instrumentation Engineering, 9(3), 15-21.

38. Sultanabanu (2023h). PV Power Control for DC Microgrid Energy Storage Utilisation, Journal of Digital Integrated Circuits in Electrical Devices, 8(3), 1-8.

39. Sultanabanu (2023i). Electronics with Artificial Intelligence Creating a Smarter Future: A Review, Journal of Communication Engineering and Its Innovations, 9(3), 38-42.

40. Sultanabanu (2023j). Dispersion Compensation in Optical Fiber: A Review, Journal of Telecommunication Study, 8(3), 14-19.

41. Sayyad Liyakat (2024r). A Study on AI-driven IoT (AIIoT) based Decision Making: KSK Approach in Robot for Medical Applications, Recent Trends in Semiconductor and Sensor Technology, 1(3), 1-17.

42. Sayyad Liyakat (2024s). Wireless Train Collision Avoidance System, Advance Research in Communication Engineering and its Innovations, 1(3), 16-25

43. Kazi Kutubuddin Sayyad Liyakat. (2024). Internet of Battlefield Things: An IoBT-inspired Battlefield of Tomorrow. Journal of Telecommunication, Switching Systems and Networks. 2024; 11(3): 11–19p.

44. https://journals.asianresassoc.org/index.php/irjmt/article/view/194  

Regular Issue Subscription Review Article
Volume 11
Issue 03
Received 02/09/2024
Accepted 07/09/2024
Published 20/09/2024
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