Abstract
The demand for electrically powered transportation is increasing exponentially due to high fuel prices and global environmental issues. The use of electric bikes is increasing rapidly within urban mobility. The current E-bike chargers are expensive and fail to provide proper authentication, real-time monitoring, parameter analysis, health maintenance alerts, etc. To meet future demand, the paper presents detailed design procedures and experimental analysis of smart, user-friendly, economical, and green charging solutions for electric bikes. The research provides an IoT-based cheap charging facility for different workplaces, organizations, and highway rest areas. Real-time pricing and parameters are sensed using an IoT module and observed online with a monitoring interface via the ThingSpeak platform. The parameters are visualized using both simulation and hardware analysis. The detailed power converter and high-frequency transformer design procedure with mathematical equations are presented in the article. The proposed design improves reliability, security, timely maintenance, and system health conditions. The research provides economical off-board charging stations with smart interfaces that can be accessed by users or service providers through the data cloud. The low-cost smart charging stations promote the use of electric vehicles and decrease the charging anxiety of users. The proposed scheme reduces emissions problems, improves the air quality index, and facilitates people with affordable and reliable transportation.
| Original language | English |
|---|---|
| Article number | 2387983 |
| Journal | Journal of Advanced Transportation |
| Volume | 2024 |
| DOIs | |
| Publication status | Published - 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
ASJC Scopus subject areas
- Automotive Engineering
- Economics and Econometrics
- Mechanical Engineering
- Computer Science Applications
- Strategy and Management
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