i-manager Publications

Energy and Power Performance Analysis of a Hybrid Electric Two-Wheeler

Balasaheb Annasaheb Kardile*, Abhijeet Bhikashet Auti**, Mahasidha Ramgonda Birajdar***, Amol Bhimrao Ubale****

*-*** Department of Mechanical Engineering, KJE's Trinity College of Engineering and Research, Pune, Maharashtra, India.

**** Department of Mechanical Engineering, Zeal College of Engineering and Research, Pune, Pune, Maharashtra, India.

Periodicity:April - June'2025

Abstract

This study presents a real-time energy management system for hybrid electric two-wheelers, leveraging Controller Area Network (CAN) data to optimize power distribution between the internal combustion engine and electric motor based on dynamic load inputs. The proposed EMS improves fuel efficiency, reduces emissions, and enhances battery utilization through adaptive energy flow strategies. Additionally, predictive maintenance and intelligent control algorithms ensure optimal hybrid operation. The findings highlight the advantages of real-time load-based energy management over conventional drive cycle-based methods. Future research will explore the integration of vehicle-to-everything (V2X) communication for traffic-aware energy optimization and AI-driven predictive diagnostics. This study contributes to the advancement of sustainable and efficient hybrid two-wheeler technology, addressing critical gaps in adaptive energy management and real-world validation.

Keywords

Battery Utilization, Energy Management System, Hybrid Electric Two-Wheeler, Predictive Maintenance, Real- Time Optimization.

How to Cite this Article?

Kardile, B. A., Auti, A. B., Birajdar, M. R., and Ubale, A. B. (2025). Energy and Power Performance Analysis of a Hybrid Electric Two-Wheeler. i-manager’s Journal on Power Systems Engineering, 13(1), 8-16.

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Energy and Power Performance Analysis of a Hybrid Electric Two-Wheeler

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