Year: 2024
Type: article
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.
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408955613