Lead Acid Battery Monitoring using Multiple Linear Regression Method

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Somporn Ruangsinchaiwanich
Thiraphong Banchong
Sumet Sittisrijan


This paper is an electric motor battery monitoring system using Multiple Linear Regression. This proposed system can display battery parameters based on internet of things that afford its values of the voltage, current, and the remaining charge capacity in a real-time scenario. Also designed electronic hardwires and data storage system are illustrated. This article concerns an electric car battery status system with Multiple Linear Regression. The prototype consists of a microcontroller, current sensor module, voltage divider circuit, and MCP3008. The data of power batteries can be displayed on a smartphone and stored in the cloud server database. Eventually, this system can also be used to study battery characteristics throughout its lifespan.


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How to Cite
Ruangsinchaiwanich, S., Banchong, T., & Sittisrijan, S. (2023). Lead Acid Battery Monitoring using Multiple Linear Regression Method. Naresuan University Engineering Journal, 18(1), 42–46. https://doi.org/10.14456/nuej.2023.6
Research Paper


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