Advancements in Battery Monitoring for Electric Vehicle Optimization

Year : 2024 | Volume :11 | Issue : 01 | Page : 8-13
By

Deep Shaha

Suyog Ghodekar

Karan Bhandare

Harshada Kudale

  1. Student Department of Computer Engineering’ Shri Chhatrapati Shivajiraje College of Engineering, Dhangwadi, Bhor, Pune, Maharashtra, India
  2. Student, Department of Computer Engineering’ Shri Chhatrapati Shivajiraje College of Engineering, Dhangwadi, Bhor, Pune, Maharashtra, India
  3. Student, Department of Computer Engineering’ Shri Chhatrapati Shivajiraje College of Engineering, Dhangwadi, Bhor, Pune, Maharashtra, India
  4. Student, Department of Computer Engineering’ Shri Chhatrapati Shivajiraje College of Engineering, Dhangwadi, Bhor, Pune, Maharashtra, India

Abstract

The shift towards electric vehicles (EVs) is inevitable as we move towards a more sustainable future, necessitating the development of more efficient EV technologies. Central to any EV is its battery management system (BMS), comprised of intricate electronic circuits like converters and inverters. The BMS is crucial for optimizing battery performance by monitoring and regulating key parameters such as current, voltage, state of charge (SOC), and temperature. Because of its high energy density and lightweight nature, lithium-ion batteries have become the standard for electric vehicles. However, their inherent instability poses challenges, requiring stringent monitoring to prevent overcharging or discharging. To protect battery health and ensure safety, voltage and current regulators are essential in this situation. In our research paper, we propose utilizing NodeMCU, a Wi-Fi-enabled microchip, to monitor these crucial parameters of the vehicle, including current, voltage, SOC, and temperature. The data collected by NodeMCU will be transmitted to a server, such as ThingSpeak, enabling real-time monitoring from anywhere. By implementing this system, we aim to enhance battery management practices, prolong battery life, and ensure the efficient operation of electric vehicles.

Keywords: Electric Vehicles, BMS, Lithium Ion Battery, Thingspeak , NodeMCU

[This article belongs to Journal of Thermal Engineering and Applications(jotea)]

How to cite this article: Deep Shaha, Suyog Ghodekar, Karan Bhandare, Harshada Kudale. Advancements in Battery Monitoring for Electric Vehicle Optimization. Journal of Thermal Engineering and Applications. 2024; 11(01):8-13.
How to cite this URL: Deep Shaha, Suyog Ghodekar, Karan Bhandare, Harshada Kudale. Advancements in Battery Monitoring for Electric Vehicle Optimization. Journal of Thermal Engineering and Applications. 2024; 11(01):8-13. Available from: https://journals.stmjournals.com/jotea/article=2024/view=149992

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Regular Issue Subscription Review Article
Volume 11
Issue 01
Received May 21, 2024
Accepted June 3, 2024
Published June 13, 2024