SMART BATTERY MANAGEMENT SYSTEM FOR PORTABLE DEVICES TO  ENHANCE BATTERY LIFE BASED ON MACHINE LEARNING

SAMBOU KONE; SAGAR MISHRA; KUMAR RAHUL PRASAD; FAISAL SAIFI; Prof. SUNIL M P

SMART BATTERY MANAGEMENT SYSTEM FOR PORTABLE DEVICES TO ENHANCE BATTERY LIFE BASED ON MACHINE LEARNING

Authors: SAMBOU KONE, SAGAR MISHRA, KUMAR RAHUL PRASAD, FAISAL SAIFI, Prof. SUNIL M P

Unique Paper ID: 163173
Volume: 10
Issue: 11
PageNo: 2464-2469

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.

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ISSN: 2349-6002
Volume: 10
Issue: 11
PageNo: 2464-2469

SMART BATTERY MANAGEMENT SYSTEM FOR PORTABLE DEVICES TO ENHANCE BATTERY LIFE BASED ON MACHINE LEARNING

Available:https://ijirt.org/Article?manuscript=163173

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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