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R. J. Patil

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Open access 2026

AI-ENABLED BATTERY MANAGEMENT SYSTEM FOR REAL-TIME SOC AND SOH ESTIMATION IN ELECTRIC VEHICLES

This research paper introduces an AI-driven Battery Management System (BMS) to estimate State of Charge (SOC) and State of Health (SOH) of lithium-ion batteries in real-time to be used in electric vehicles. The suggested framework will combine embedded sensing with ESP32 microcontroller, hybrid estimation with Coulomb...

Manojkumar Sahebrao Chavhan, R. J. Patil · 0 citations
Open access Aug 2026

AI-Enhanced Battery Management System with Real-Time SOC/SOH Estimation and IoT-Based Autonomous Load Control: Hardware Implementation on ESP32 with MQTT and ML Inference

This paper presents an AI-driven Battery Management System (BMS) with complete hardware implementation for real-time State of Charge (SOC) and State of Health (SOH) estimation in 3S lithium -ion battery packs (ICR-18650, 2500mAh, 11.1V nominal). Three machine learning models — Random Forest, XGBoost, and LSTM — are tra...

Manojkumar Sahebrao Chavhan, R. J. Patil · 0 citations

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