SMART BATTERY MANAGEMENT SYSTEM FOR PORTABLE DEVICES TO ENHANCE BATTERY LIFE BASED ON MACHINE LEARNING
Author(s):
SAMBOU KONE, SAGAR MISHRA, KUMAR RAHUL PRASAD, FAISAL SAIFI, Prof. SUNIL M P
Keywords:
SOC, ANN, ML, BATTERY MANAGEMENT SYSTEM.
Abstract
In order to enhance battery performance, this study introduces a unique smart battery management system (BMS) for portable devices that makes use of machine learning. The system makes use of a trained machine learning model to predict patterns in energy use and a data collection setup to get accurate sensor readings. By keeping an eye on user activity, battery health, and dynamically altering power allocations, the BMS attempt to prolong battery life. Temperature control prevents overheating, and an adaptive charging method prevents overcharging. With the help of customization and insights from the user interface, a complete solution to prolong the life of portable device batteries and enhance user satisfaction has been developed.
Article Details
Unique Paper ID: 163173

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 2464 - 2469
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