Energy-efficient Solar Roof Integrated Electric Tricycle with Predictive Control under Urban Driving Conditions

Authors

  • Najmuddin Jamadar
  • Aditi Anil Sutar
  • Sanika Arvind Nalawade
  • Sakshi Mohan Kadam

DOI:

https://doi.org/10.46610/IJREEPS.2026.v02i01.005

Keywords:

Eco predictive control, Electric tricycle mobility, Photovoltaic integration, Solar-assisted electric vehicle, Urban drive cycle energy analysis

Abstract

Solar-assisted electric mobility presents a sustainable solution for low-speed urban transportation, particularly for assistive electric tricycles designed for handicapped users. In this work, a solar-integrated eco-predictive control strategy is developed for an electric tricycle operating under an urban drive cycle. A comprehensive system model incorporating longitudinal vehicle dynamics, motor power characteristics, lithium-ion battery behaviour and rooftop photovoltaic generation is formulated. The photovoltaic system is interfaced through a DC-DC buck-boost converter to supply auxiliary propulsion energy. An eco-predictive controller is implemented to smooth the speed reference and reduce transient power demand. Simulation results demonstrate a significant reduction in net battery energy consumption and improvement in the final state of charge. The solar roof generates 0.0616 kWh during the drive cycle and offsets approximately 28.59% of propulsion energy demand. The combined approach enhances energy efficiency, reduces battery stress and improves sustainability without compromising speed tracking performance.

References

C. C. Chan, “The state of the art of electric and hybrid vehicles,” Proceedings of the IEEE, vol. 95, no. 4, pp. 704–718, 2007.

M. Ehsani, Y. Gao, S. E. Gay, and A. Emadi, Modern Electric, Hybrid Electric, and Fuel Cell Vehicles: Fundamentals, Theory, and Design. Boca Raton, FL, USA: CRC Press, 2005.

A. Emadi, Y. J. Lee, and K. Rajashekara, “Power electronics and motor drives in electric, hybrid electric, and plug-in hybrid electric vehicles,” IEEE Transactions on Industrial Electronics, vol. 55, no. 6, pp. 2237–2245, 2008.

S. F. Tie and C. W. Tan, “A review of energy sources and energy management systems in electric vehicles,” Renewable and Sustainable Energy Reviews, vol. 20, pp. 82–102, 2013.

O. C. Onar, M. Uzunoglu, and M. S. Alam, “Dynamic modeling, design and simulation of a solar powered hybrid electric vehicle,” Journal of Power Sources, vol. 178, no. 1, pp. 558–567, 2008.

T. Esram and P. L. Chapman, “Comparison of photovoltaic array maximum power point tracking techniques,” IEEE Transactions on Energy Conversion, vol. 22, no. 2, pp. 439–449, 2007.

T. Khatib, A. Mohamed, and K. Sopian, “A review of solar energy modelling techniques,” Renewable and Sustainable Energy Reviews, vol. 16, no. 5, pp. 2864–2869, 2012.

A. Khaligh and Z. Li, “Battery, ultracapacitor, fuel cell and hybrid energy storage systems for electric, hybrid electric, fuel cell and plug-in hybrid electric vehicles: State of the art,” IEEE Transactions on Vehicular Technology, vol. 59, no. 6, pp. 2806–2814, 2010.

G. L. Plett, “Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification,” Journal of Power Sources, vol. 134, no. 2, pp. 262–276, 2004.

J. H. Ryu, B. Long, and K. T. Chong, “Energy management strategy for solar-assisted electric vehicles under dynamic driving conditions,” Energies, vol. 7, no. 7, pp. 4300–4315, 2014.

Published

2026-03-13

Issue

Section

Articles