Intelligent Energy Management Strategies for New Energy Vehicles to Enhance Environmentally Sustainable Transportation Systems

Authors

  • N. Nagabhooshanam

    Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 602105, India
  • Aman sharma

    Department of Mechanical Engineering, GLA University, Mathura 281406, India
  • KDV Prasad

    Department of Research, Symbiosis Institute of Business Management, Symbiosis International (Deemed University), Bengaluru 560100, Karnataka, India
  • Kommula Bapayya Naidu

    Department of Electrical and Electronics Engineering, Aditya University, Surampalem 533437, Andhra Pradesh, India
  • BEVL Naidu

    Department of Management Studies, Aditya Degree & PG College, Kakinada 533003, Andhra Pradesh, India

DOI:

https://doi.org/10.30564/jees.v7i6.9013
Received: 8 March 2025 | Revised: 9 April 2025 | Accepted: 15 April 2025 | Published Online: 13 June 2025

Abstract

As the demands for environmental sustainability and the requirements to lower carbon emissions have escalated, New Energy Vehicles (NEVs) have emerged as a compelling substitute for fossil-fuel-run automobiles. Hence, a smart energy management strategy has been developed to enhance the performance of NEVs, maximizing the sustainability of transportation systems and minimizing environmental impacts. The system combines different power reserves, including a photovoltaic (PV) generator, fuel cell (FC), and battery system, to provide a continuous energy supply, even when the vehicle is running. The Multi-Directional Power Transfer converter for the battery provides the required energy adaptation between the input and output. The FC and PV systems are all connected through a direct current/direct current converter to effectively charge the battery whenever excess energy is present. The new energy management technique called Optimized Ant Colony Algorithm is proposed to dynamically allocate power among the different power sources, improving system efficiency. Unlike traditional methods, the suggested approach actively optimizes energy flow according to actual demand and availability, minimizing energy losses and enhancing sustainability. The MATLAB/Simulink tool was used to simulate the energetic performance of an electric car utilizing the suggested approach. The performance of this multi-source power system is assessed by contrasting the energy the PV and FC generating devices offer, and the energy generation of each recharge system. Additionally, the battery power comparison validates the cost-effectiveness and sustainability of the proposed model in NEVs. Results designate a significant improvement in energy efficiency and overall NEV environmental sustainability within contemporary transportation networks.

Keywords:

Electrical Vehicles (EV); Photovoltaic (PV); Environment; Fuel Cells (FC); Optimized Ant Colony Algorithm (OACA); Energy Efficiency

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How to Cite

N. Nagabhooshanam, Aman sharma, KDV Prasad, Kommula Bapayya Naidu, & BEVL Naidu. (2025). Intelligent Energy Management Strategies for New Energy Vehicles to Enhance Environmentally Sustainable Transportation Systems. Journal of Environmental & Earth Sciences, 7(6), 467–481. https://doi.org/10.30564/jees.v7i6.9013

Issue

Vol. 7 , Iss. 6 (June 2025)

Article Type

Article

License

Copyright © 2025 N. Nagabhooshanam, Aman sharma, KDV Prasad, Kommula Bapayya Naidu, BEVL Naidu

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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