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Smart city article details
| Title | Smart Iot Energy Optimisation And Localisation Monitoring For E-Bike Sharing |
|---|---|
| ID_Doc | 51101 |
| Authors | Mohamed M.A.; Toha S.F.; Ataur Rahman M.D.; Khairudin M.O.H. |
| Year | 2025 |
| Published | IIUM Engineering Journal, 26, 2 |
| DOI | http://dx.doi.org/10.31436/iiumej.v26i2.3448 |
| 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. © (2025), (International Islamic University Malaysia-IIUM). All rights reserved. |
| Author Keywords | E-bike; E-bike sharing systems; Energy optimization; Localization monitoring; Smart cities |
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