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By: Prakash Kumar, Sayali A. Petkar, Kanchan B. Waghmare, and Ashwini N. Jagtap.
1. Assistant Professor, Department of Electronics & Telecommunication Engineering, Rajgad Technical Campus Dhangwadi, Bhor, Pune–412205, India
2,3,4. Student, Department of Electronics & Telecommunication Engineering, Rajgad Technical Campus Dhangwadi, Bhor, Pune–412205, India
To make batteries in electric vehicles and energy storage systems last longer, work better, and be safer, they need a Smart Battery Management System (BMS). The main goal of this project is to find out the battery’s State of Charge (SOC) and State of Health (SOH) right away. SOC reflects the remaining usable capacity of the battery, while SOH indicates the overall condition and degree of aging of the battery. To optimize battery utilization and ensure reliable system performance, it is crucial to accurately estimate these parameters. The system continuously monitors critical battery parameters including voltage, current, temperature, and charge/discharge cycles through integrated sensors. These inputs are processed by embedded algorithms running on a microcontroller platform to deliver accurate, real-time SOC and SOH estimations. Advanced filtering and estimation techniques are employed to improve accuracy under varying operating conditions. The microcontroller also manages data acquisition and provides a user interface for monitoring. By preventing overcharging, deep discharging, and overheating, this smart BMS significantly improves battery safety and operational efficiency. Real-time monitoring facilitates informed decisions related to battery usage and maintenance schedules. The system that was designed is affordable, dependable, and flexible enough to be used in a wide range of situations, including electric cars, storing renewable energy, and portable electronics. The system supports scalability and can be integrated with IoT-based monitoring frameworks for remote diagnostics.
Keywords – Lithium-ion batteries, embedded algorithms, battery monitoring, thermal management, smart BMS, SOC and SOH estimation, real-time data acquisition, electric vehicles, and energy storage systems.
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