Sustainable Transportation Research Advances with Intelligent Hybrid Energy Management Approach

Strategic Insights -

In a breakthrough study, researchers from the Department of Electrical Engineering have proposed an innovative hybrid energy management approach for electric vehicles powered by a combination of solar, battery, and supercapacitor systems. This approach aims to enhance both energy efficiency and vehicle performance by optimizing power flow management under various load circumstances. The research, published in the Iranian Journal of Science and Technology, Transactions of Electrical Engineering, demonstrates the potential of renewable energy integration in advancing electric mobility.

Key Takeaways:

  • The researchers proposed an intelligent hybrid energy management approach for electric vehicles, powered by a combination of solar, battery, and supercapacitor systems.
  • The approach optimizes power flow management under various load circumstances, ensuring a consistent power supply during low-intensity periods and storing surplus energy produced during high-intensity periods in an energy-storage system.
  • The study used four nature-inspired algorithms, including Artificial Bee Colony, Grey Wolf Optimization, Harris Hawks Optimization, and Moth-Flame Optimization, to optimize and coordinate six major controllers in the solar, battery management, supercapacitor, BLDC drive, and energy management systems.
  • The results confirm significant improvements in energy utilization, system reliability, and overall vehicle performance.
  • The research has been peer-reviewed and has the potential to advance sustainable transportation research and demonstrate the efficacy of novel nature-inspired optimization for enhanced hybrid energy systems.
  • The study included authors Vineet Kumar Tiwari, Awadhesh Kumar, Shekhar Yadav, and Nitesh Tiwari from the Department of Electrical Engineering, Madan Mohan Malviya Univ Technol, Gorakhpur, India.

Statistics:

  • The research used MATLAB/Simulink software to model and validate the effectiveness of the proposed system.
  • The results showed significant improvements in energy utilization, system reliability, and overall vehicle performance.
  • The study concluded that the intelligent hybrid energy management approach can enhance both energy efficiency and vehicle performance.
  • The study has the potential to advance sustainable transportation research and demonstrate the efficacy of novel nature-inspired optimization for enhanced hybrid energy systems.

Sources:

  • "Improved Performance of Solar, Battery, and Supercapacitor Powered Bldc Motor-based Electric Vehicle Using Nature-inspired Optimizations." Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2025.
  • Iranian Journal of Science and Technology, Transactions of Electrical Engineering can be contacted at: Springer Int Publ Ag, Gewerbestrasse 11, Cham, Ch-6330, Switzerland.
  • Vineet Kumar Tiwari, Madan Mohan Malviya Univ Technol, Dept. of Electrical Engineering, Gorakhpur, India.
  • Additional authors: Awadhesh Kumar, Shekhar Yadav, and Nitesh Tiwari.