E BIKE BATTERY HEALTH PARAMETER CHECKER WITH REAL TIME DATA ON WEB

With the increasing adoption of electric bicycles (e-bikes), ensuring battery health and performance is critical for safety, efficiency, and longevity. This paper explores the development of realtime battery health monitoring systems integrated with web-based platforms. Recent advancements leverage IoT-enabled sensors, cloud computing, and data analytics to provide continuous monitoring and predictive maintenance. Key parameters such as voltage, current, temperature, state of charge (SoC), and state of health (SoH) are tracked in real-time and visualized on user-accessible web dashboards. Studies highlight innovative approaches like Smart E-Bike Monitoring Systems (SEMS), acoustic-based charge detection (SingMonitor), and cloud-based battery management architectures. These technologies enable proactive maintenance, enhance user experience, and contribute to sustainable e-mobility solutions. This paper reviews existing research, discusses challenges such as data security and system scalability, and proposes future directions for intelligent e-bike battery health monitoring.

Authors

Publication Details

Journal
International Journal of Engineering Applied Sciences and Technology
Published
2024-12-01
DOI
https://doi.org/10.33564/ijeast.2024.v09i08.011
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

E BIKE BATTERY HEALTH PARAMETER CHECKER WITH REAL TIME DATA ON WEB

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International Journal of Engineering Applied Sciences and Technology
IoT-based Smart Home Systems
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E BIKE BATTERY HEALTH PARAMETER CHECKER WITH REAL TIME DATA ON WEB

Sahil R Mulla, Suhail S Sayyed, Umesh T Sutar, Rameshwar L Bandagi, Amit R Annam, Mrs. Manjare S nehal.
article en

Abstract

With the increasing adoption of electric bicycles (e-bikes), ensuring battery health and performance is critical for safety, efficiency, and longevity. This paper explores the development of realtime battery health monitoring systems integrated with web-based platforms. Recent advancements leverage IoT-enabled sensors, cloud computing, and data analytics to provide continuous monitoring and predictive maintenance. Key parameters such as voltage, current, temperature, state of charge (SoC), and state of health (SoH) are tracked in real-time and visualized on user-accessible web dashboards. Studies highlight innovative approaches like Smart E-Bike Monitoring Systems (SEMS), acoustic-based charge detection (SingMonitor), and cloud-based battery management architectures. These technologies enable proactive maintenance, enhance user experience, and contribute to sustainable e-mobility solutions. This paper reviews existing research, discusses challenges such as data security and system scalability, and proposes future directions for intelligent e-bike battery health monitoring.

International Journal of Engineering Applied Sciences and TechnologyVol. 9(08)
Openalex Percentile: Top 73%
IoT-based Smart Home Systems
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