Prediction of Remaining Battery Life for Light Vehicles

Abstract

Generally, high-end battery devices estimate the remaining battery life through the chip, but such devices lack in providing life information for portable devices. Therefore, we develop an algorithm with an ACS-712 chip module to achieve this purpose. The ACS-712 module is powered by 5 V and measures the current within ±20 amps, and the corresponding output per amp is 100 millivolts. In this study, a small vehicle controlled by Arduino is adopted to collect the signals from ACS-712. The relationship between the remaining power and the starting current curve is discovered by analyzing the generated data. After experiments, the remaining power can be predicted by detecting the instantaneous current change during startup, and the accuracy reaches higher than 90%. In addition, we add different weights as control variables in the experiment and test the remaining power of various weights. It also achieves an accuracy of more than 85%.