Smart IoT energy optimisation and localisation monitoring for e-bike sharing

Mohamed, Mawada Ahmed and Toha, Siti Fauziah and Rahman, Md Ataur and Khairudin, Moh. (2025) Smart IoT energy optimisation and localisation monitoring for e-bike sharing. IIUM Engineering Journal, 26 (2). pp. 305-325. ISSN 1511-788X E-ISSN 2289-7860

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Abstract

E-bike sharing has emerged as a sustainable and convenient mode of transportation, offering lightweight, energy-efficient mobility solutions. However, existing systems face challenges such as limited input parameters for modeling, leading to inefficiencies in energy optimization algorithms and power assist mechanisms. A significant concern is the rapid depletion of batteries, which reduces the availability of e-bikes, increases operational costs for fleet managers, and impacts user satisfaction. To address these challenges, this project developed a Smart IoT Energy Optimization and Localization Monitoring System that integrates multi-sensor data, IoT connectivity, and advanced data analytics to monitor real-time usage patterns, battery levels, and the location of e-bikes. The methodology involved integrating sensors to collect key data, implementing connectivity for real-time monitoring, and developing an energy optimization algorithm to prolong battery life, improving the efficiency of the e-bike sharing system. The results demonstrated a 15% improvement in energy efficiency, which increased battery state-of-charge (SOC) and extended operational range. Additionally, the system enabled better fleet management by ensuring optimal energy usage and the availability of e-bikes for users. This approach aligns seamlessly with the Sustainable Development Goals (SDGs) by promoting eco-friendly transportation and enhancing user accessibility. The integration of IoT technology has proven effective in overcoming the limitations of traditional systems, offering a scalable and efficient solution for modern urban mobility.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Smart city, electric motorcycle, electric vehicle (EV), localization, energy optimization, internet of things (IoT)
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1 Motor vehicles
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr. Siti Fauziah Toha
Date Deposited:	19 May 2025 16:11
Last Modified:	19 May 2025 16:11
URI:	http://irep.iium.edu.my/id/eprint/121117

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