Stationary lead-acid batteries remote monitoring system

Rosolem, M. Fatima N.C.; Pessenti, Gilcinea Rangel; Beck, Raul Fernando; Santos, Glauco Ribeiro dos; Arioli, Vitor Torquato; Lopes, Paulo Henrique O.

doi:10.1109/intlec.2011.6099733

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…Moreover, the authors conducted the field testing of their proposed system over a GPRS network and the Internet, proving the stability and performance of the remote battery group monitoring system. Rosolem et al developed a remote monitoring system to obtain a premature failure diagnoses in stationary lead-acid batteries through the measurement of their internal resistance and voltage [9]. Further, the authors included all the management and analysis of these measurements in battery management software.…”

Section: Introductionmentioning

confidence: 99%

Design and Development of a Real-Time Monitoring System for Multiple Lead–Acid Batteries Based on Internet of Things

et al. 2017

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Abstract:In this paper, real-time monitoring of multiple lead-acid batteries based on Internet of things is proposed and evaluated. Our proposed system monitors and stores parameters that provide an indication of the lead acid battery's acid level, state of charge, voltage, current, and the remaining charge capacity in a real-time scenario. To monitor these lead-acid battery parameters, we have developed a data acquisition system by building an embedded system, i.e., dedicated hardware and software. The wireless local area network is used as the backbone network. The information collected from all the connected battery clients in the system is analyzed in an asynchronous transmission control protocol/user datagram protocol-based C server program running on a personal computer (server) to determine important parameters like the state of charge of the individual battery, and if required, appropriate action can be taken in advance to prevent excessive impairment to the battery. Further, data are also displayed on an Android mobile device and are stored in an SQL server database. We have developed a real prototype to devise an end product for our proposed system.

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Section: Introductionmentioning

confidence: 99%

Design and Development of a Real-Time Monitoring System for Multiple Lead–Acid Batteries Based on Internet of Things

et al. 2017

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“…This is attracted the researcher to overcome and find the solution by using remote monitoring. Elsewhere, the stationary lead-acid remote monitoring is proposed to obtain premature failure diagnose of lead-acid battery (2) . The other application of remote monitoring of lead-acid battery is proposed in (3) .…”

Section: Introductionmentioning

confidence: 99%

“…The aim is to monitoring battery status in real-time and automatically reports to supervision station and store data into database. In addition, the backbone technology for data transmission is used General Packet Radio Service (GPRS) (2)(3)(4) . However, the low data rate could be face in system since GPRS is assigned as the backbone networks and those technology unsuitable in relative small environment i.e., industry area.…”

Section: Introductionmentioning

confidence: 99%

Remote Monitoring of Lead-Acid Battery for Electric Forklift Based on WLAN

Saputra

Chae²,

Kim³

et al. 2015

The Proceedings of the 2nd International Conference on Industrial Application Engineering 2015

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Lead-acid battery is widely utilized to provide electricity in vehicle. There are dozens of system is used the lead-acid battery for power supply e.g., in electric car, mobile robot, electric forklift, etc. Nevertheless, overuse could significantly effect on life time of battery. In this paper, remote monitoring of lead-acid battery for electric forklift is proposed. We develop a data acquisition system to monitor battery parameters by developing dedicated hardware and software. Inter-integrated circuit (i2c), Analog to digital converter (ADC) and Universal Asynchronous Receiver/Transmitter (UART) are used as the protocol communication. The wireless local area network (WLAN) is used as the backbone networks. In experimental result, the data are successfully send from microcontroller to server. Furthermore, data is displayed on server monitor and stored in database storage.

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