Simulation Based Battery Management System

In this paper, a Battery Management System (BMS) is developed using the ESP32 micro-controller integrated with voltage and current sensors to enhance the efficiency and lifespan of batteries in electric vehicles (EV). The primary objective is to continuously monitor key parameters such as voltage, current, State of Charge (SoC) and State of Health (SoH) to ensure optimal performance and safety. Pulse Width Modulation (PWM) techniques are employed to precisely regulate the charging and discharging processes, reducing energy losses and preventing battery degradation. The ESP32 micro-controller is known for its low power consumption and built-in Wi-Fi and Bluetooth capabilities, acts as the central processing unit, collecting real-time data and transmitting it to a cloud-based platform or local server for further analysis. Advanced algorithms and cell balancing techniques are integrated to provide accurate SoC and SoH estimation, ensuring uniform charge distribution across cells. Additionally, the BMS includes protection mechanisms against over-voltage, under-voltage and over-current conditions, enhancing safety and reliability.The proposed system offers a cost-effective and reliable solution for battery management in EV, focusing on efficient energy utilization, safety and extended battery life.

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Publication Details

Published
2025-04-17
DOI
https://doi.org/10.38124/ijisrt/25apr157
Primary Topic
Advanced Battery Technologies Research
Type
article
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article

Simulation Based Battery Management System

Ritik Satpute, Archana Shirbhate, M Ameen, Mohd. Irshadalam
Advanced Battery Technologies Research
article

Simulation Based Battery Management System

Ritik Satpute, Archana Shirbhate, M Ameen, Mohd. Irshadalam
article en

Abstract

In this paper, a Battery Management System (BMS) is developed using the ESP32 micro-controller integrated with voltage and current sensors to enhance the efficiency and lifespan of batteries in electric vehicles (EV). The primary objective is to continuously monitor key parameters such as voltage, current, State of Charge (SoC) and State of Health (SoH) to ensure optimal performance and safety. Pulse Width Modulation (PWM) techniques are employed to precisely regulate the charging and discharging processes, reducing energy losses and preventing battery degradation. The ESP32 micro-controller is known for its low power consumption and built-in Wi-Fi and Bluetooth capabilities, acts as the central processing unit, collecting real-time data and transmitting it to a cloud-based platform or local server for further analysis. Advanced algorithms and cell balancing techniques are integrated to provide accurate SoC and SoH estimation, ensuring uniform charge distribution across cells. Additionally, the BMS includes protection mechanisms against over-voltage, under-voltage and over-current conditions, enhancing safety and reliability.The proposed system offers a cost-effective and reliable solution for battery management in EV, focusing on efficient energy utilization, safety and extended battery life.

Openalex Percentile: Top 93%
Advanced Battery Technologies Research
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