Electric vehicles (EVs) are becoming increasingly popular due to rising fuel costs and environmental concerns in contemporary applications, where energy storage systems power a wide range of devices, from small gadgets to big electric vehicles and renewable energy grids, efficient battery management is becoming more and more crucial. This study proposes the design and implementation of an Internet of Things (IoT)-based battery management system (BMS) that can continually monitor vital battery characteristics like voltage, current, temperature, and state- of-charge in order to address these issues. In contrast to traditional methods, the suggested IoT-enabled framework offers wireless connectivity, remote accessibility, and real- time data collection, all of which contribute to ongoing insights into battery health. By enabling the early discovery of problems, lowering unexpected failures, and limiting downtime, this type of monitoring supports predictive maintenance plans. This prolongs the battery pack's overall lifespan in addition to improving system reliability. In addition to maximizing performance, proper management prolongs the batteries' useful life and guarantees safety by averting dangerous situations including deep discharge, overcharging, and overheating. The suggested approach places a strong emphasis on increasing energy efficiency through clever cycle management for charging and discharging. It is useful for a variety of applications, including as industrial automation systems, renewable energy storage devices, and electric cars, due to its scalability and inexpensive implementation costs. The system makes a substantial contribution to the creation of power management infrastructures that are safer, more effective, and more sustainable by fusing affordability, remote monitoring, and predictive analytics. All things considered, the study shows how IoT-driven strategies can make battery management a more intelligent, proactive, and future-ready technology. The design and deployment of an Internet of Things (IoT)-based battery management system that can continuously monitor vital battery characteristics is presented in this study as a solution to these issues. Such continuous monitoring helps in preventing failures and optimizing performance. By providing predictive maintenance, the system ensures early detection of issues, reducing downtime and extending battery lifespan. Furthermore, the proposed framework enhances efficiency by managing energy utilization more effectively. Its low- cost implementation and remote accessibility make it suitable for diverse applications, including electric vehicles, renewable energy storage, and industrial systems, thereby contributing to reliable power management.

IoT, Battery Management System, Electric Vehicles, ESP8266, Real-Time Monitoring

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Bharathi SH. Turkish Journal of Computer and Mathematics Education. 2021 Jan;12(13):3524-8.
2. Prabakaran S. Smart battery management system for electric vehicles using IoT technology. 2023.
3. UG Scholar. International Journal of Applied Engineering Research. 2018;13(8):5711-4.
4. Abd Wahab MH, Anuar NI, Ambar R, Baharum A, Shanta S, Sulaiman MS, Hanafi HF. IoT-based battery monitoring system for electric vehicle. International Journal of Engineering & Technology. 2018Jan;7(4.31):505-10.
5. Ghuge DN, Vishal D, Kunal B, Kulkarni M. IoT based battery management system for electric vehicles. InProceedings of the 3rd International Conference on Communication & Information Processing (ICCIP) 2021 Jun 26.
6. Kumar S, Ramaswamy KC, Mathiyalagan SR, Giri J, Kanan M. An Efficient Battery Management System for Electric Vehicles Using IoT & Blockchain. Results in Engineering. 2025 Jul 15:106284.
7. Mohammadi F, Rashidzadeh R. An overview of IoT-enabled monitoring and control systems for electric vehicles. IEEE instrumentation & measurement magazine.2021May19;24(3):91-7.
8. Haldar S, Mondal S, Mondal A, Banerjee R. Battery management system using state of charge estimation: An IOT based approach. In2020 national conference on emerging trends on sustainable technology and engineering applications (NCETSTEA) 2020 Feb 7 (pp. 1-5). IEEE.
9. Surendar M, Pradeepa P. An IOT-based battery surveillance system for E-vehicles. In2021 fifth international conference on I-SMAC (IoT in social, mobile, analytics and cloud) (I-SMAC) 2021 Nov 11 pp.119-124IEEE.
10. Jadhav SP, Mulla AC, Argade SG, Jadhav SS, Patil D, Vaidya HD. Development of IOT based Battery Management System for EV. In2024 International Conference on Intelligent Systems and Advanced Applications (ICISAA) 2024 Oct 25 (pp. 1-6). IEEE.

Electric vehicles (EVs) are becoming increasingly popular due to rising fuel costs and environmental concerns in contemporary applications, where energy storage systems power a wide range of devices, from small gadgets to big electric vehicles and renewable energy grids, efficient battery management is becoming more and more crucial. This study proposes the design and implementation of an Internet of Things (IoT)-based battery management system (BMS) that can continually monitor vital battery characteristics like voltage, current, temperature, and state- of-charge in order to address these issues. In contrast to traditional methods, the suggested IoT-enabled framework offers wireless connectivity, remote accessibility, and real- time data collection, all of which contribute to ongoing insights into battery health. By enabling the early discovery of problems, lowering unexpected failures, and limiting downtime, this type of monitoring supports predictive maintenance plans. This prolongs the battery pack's overall lifespan in addition to improving system reliability. In addition to maximizing performance, proper management prolongs the batteries' useful life and guarantees safety by averting dangerous situations including deep discharge, overcharging, and overheating. The suggested approach places a strong emphasis on increasing energy efficiency through clever cycle management for charging and discharging. It is useful for a variety of applications, including as industrial automation systems, renewable energy storage devices, and electric cars, due to its scalability and inexpensive implementation costs. The system makes a substantial contribution to the creation of power management infrastructures that are safer, more effective, and more sustainable by fusing affordability, remote monitoring, and predictive analytics. All things considered, the study shows how IoT-driven strategies can make battery management a more intelligent, proactive, and future-ready technology. The design and deployment of an Internet of Things (IoT)-based battery management system that can continuously monitor vital battery characteristics is presented in this study as a solution to these issues. Such continuous monitoring helps in preventing failures and optimizing performance. By providing predictive maintenance, the system ensures early detection of issues, reducing downtime and extending battery lifespan. Furthermore, the proposed framework enhances efficiency by managing energy utilization more effectively. Its low- cost implementation and remote accessibility make it suitable for diverse applications, including electric vehicles, renewable energy storage, and industrial systems, thereby contributing to reliable power management.

IoT, Battery Management System, Electric Vehicles, ESP8266, Real-Time Monitoring

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Bharathi SH. Turkish Journal of Computer and Mathematics Education. 2021 Jan;12(13):3524-8.
2. Prabakaran S. Smart battery management system for electric vehicles using IoT technology. 2023.
3. UG Scholar. International Journal of Applied Engineering Research. 2018;13(8):5711-4.
4. Abd Wahab MH, Anuar NI, Ambar R, Baharum A, Shanta S, Sulaiman MS, Hanafi HF. IoT-based battery monitoring system for electric vehicle. International Journal of Engineering & Technology. 2018Jan;7(4.31):505-10.
5. Ghuge DN, Vishal D, Kunal B, Kulkarni M. IoT based battery management system for electric vehicles. InProceedings of the 3rd International Conference on Communication & Information Processing (ICCIP) 2021 Jun 26.
6. Kumar S, Ramaswamy KC, Mathiyalagan SR, Giri J, Kanan M. An Efficient Battery Management System for Electric Vehicles Using IoT & Blockchain. Results in Engineering. 2025 Jul 15:106284.
7. Mohammadi F, Rashidzadeh R. An overview of IoT-enabled monitoring and control systems for electric vehicles. IEEE instrumentation & measurement magazine.2021May19;24(3):91-7.
8. Haldar S, Mondal S, Mondal A, Banerjee R. Battery management system using state of charge estimation: An IOT based approach. In2020 national conference on emerging trends on sustainable technology and engineering applications (NCETSTEA) 2020 Feb 7 (pp. 1-5). IEEE.
9. Surendar M, Pradeepa P. An IOT-based battery surveillance system for E-vehicles. In2021 fifth international conference on I-SMAC (IoT in social, mobile, analytics and cloud) (I-SMAC) 2021 Nov 11 pp.119-124IEEE.
10. Jadhav SP, Mulla AC, Argade SG, Jadhav SS, Patil D, Vaidya HD. Development of IOT based Battery Management System for EV. In2024 International Conference on Intelligent Systems and Advanced Applications (ICISAA) 2024 Oct 25 (pp. 1-6). IEEE.