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Lead Acid Battery Monitoring using Multiple Linear Regression Method |
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| รหัสดีโอไอ | |
| Creator | Thiraphong Banchong |
| Title | Lead Acid Battery Monitoring using Multiple Linear Regression Method |
| Contributor | Sumet Sittisrijan, Somporn Ruangsinchaiwanich |
| Publisher | Faculty of Engineeing Naresuan University |
| Publication Year | 2566 |
| Journal Title | Naresuan University Engineering Journal |
| Journal Vol. | 18 |
| Journal No. | 1 |
| Page no. | 42-46 |
| Keyword | Battery Monitoring System, Multiple Linear Regression, Internet of Things |
| URL Website | https://ph01.tci-thaijo.org/index.php/nuej/index |
| Website title | Naresuan University Engineering Journal |
| ISSN | 1905-615x |
| Abstract | 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. |
