Advancements in Electric Vehicle Technology: Energy Storage Integration

The evolution of sustainable transportation has led to significant improvements in electric vehicles, with scientists citing environmental friendliness and higher efficiency as key advantages over internal combustion engines. However, electric vehicles face limitations in driving range, mechanical and thermal stress on the battery, and limited operating temperature. Researchers at the Vellore Institute of Technology have proposed an innovative solution by integrating two energy sources: batteries and supercapacitors. An optimized energy management strategy, based on an adaptive neuro-fuzzy inference system, is explored to effectively achieve the integration of power between the battery and supercapacitor.

Key Takeaways:

• The integration of a supercapacitor with a battery can mitigate the constraints associated with conventional lithium-ion batteries, reducing the current drawn from the battery by 25.38%.
• The energy consumption rate decreases by 7.89%, leading to a 7.89% improvement in the driving range.
• The adaptive neuro-fuzzy inference system-based energy management strategy results in an 8.73% enhancement in the battery pack's draining rate.
• The cell temperature of the battery pack in the adaptive neuro-fuzzy inference-based system is 5% less than that of the battery-only system.
• The research highlights the effectiveness of integrating two energy sources to overcome the limitations of conventional battery systems.

Statistics:

• 25.38% reduction in current drawn from the battery with the integration of a supercapacitor (Journal of Energy Storage, 2025;126).
• 7.89% decrease in energy consumption rate (Journal of Energy Storage, 2025;126).
• 7.89% improvement in driving range (Journal of Energy Storage, 2025;126).
• 8.73% enhancement in battery pack's draining rate (Journal of Energy Storage, 2025;126).
• 5% reduction in battery pack temperature (Journal of Energy Storage, 2025;126).

Sources:

• Journal of Energy Storage, 2025;126. Elsevier, Radarweg 29, 1043 Nx Amsterdam, Netherlands.
• Vellore Institute of Technology, Automot Res Ctr, Vellore 632014, India. A. Rammohan.