Currently, e-bikes commonly use three-stage battery chargers. We create the SingMonitor system based on observations that: (1) The charging e-bike can inject unique current signals into the power grid. SingMonitor can monitor the charger or battery for faults during daily charging, slowing battery capacity loss and thus preventing potential fire hazards. To solve this problem, in this paper, we propose SingMonitor, a scheme to remotely monitor e-bike charging health using mobile devices’ microphones. Worse yet, over time and with improper use (charging immediately after parking, etc.), even high-quality chargers and batteries can develop issues and become unreliable. Furthermore, in Section 3.1, we show how charger or battery quality issues can influence a battery’s capacity and even increase the risk of fire while charging. Low-quality batteries or chargers are some of the main reasons for these disasters. Similarly, in October 2022, the USA recalled about 22,000 e-bikes, whose lithium batteries could ignite, explode, or spark, posing fire, explosion, and burn hazards to consumers. For example, there were nearly 18,000 fire disasters caused by charging e-bikes in China in 2021. Although e-bikes are convenient, they also provide some safety threats. In recent years, electric bicycles/electric mopeds (here, both are referred to as “e-bikes”) have become increasingly popular, corresponding with growing environmental awareness and technological advances in the e-bike industry, with the global e-bike market reaching USD 17.83 billion in 2021. Experiments show SingMonitor achieves an F1 score of 0.94 in identifying 10 e-bikes’ charging status, with a detection distance of 9m+. Based on this principle and the proposed template matching method, SingMonitor can identify the e-bike charging status.
The charging e-bike generates a unique current signal, which is then transmitted through the power grid and drives the mobile devices’ power supply to generate sound, which is then captured by a microphone. To solve this problem, we propose SingMonitor, a scheme to remotely monitor e-bike charging status using mobile devices’ microphones. Others can use the sound or electromagnetic signals emitted by e-bikes for monitoring, but they suffer from limited monitoring distance. However, the use of additional equipment makes them challenging to deploy.
Some existing works propose using power meters or similar sensors in the power grid to monitor e-bike charging health.
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In recent years, fire disasters caused by charging electric bicycles/moped (e-bikes) have been increasing, causing catastrophic loss of life and property Worse still, existing fire warning systems are costly to install and maintain, and they work after the accident occurs.
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