• Om wagh
• Atharva deole
• Saurabh chaudhary
• Kunal dixit

The advent of electric vehicles (EVs) has revolutionized the automotive industry, including the high-performance racing sector. Effective battery management is paramount for ensuring optimal performance, safety, and longevity of these vehicles, particularly in the demanding racing environment. The proposed system integrates a robust BMS with an online monitoring structure, enabling Realtime data acquisition, management, and logging. The BMS monitors critical battery parameters, including voltage, current, temperature, power, state of charge (SOC), and state of health (SOH), providing insights into the battery's performance and health. These parameters are transmitted via secure internet connectivity and stored in a cloud-based database, enabling remote monitoring and analysis by racing teams and engineers. An Android application serves as the user interface, displaying real-time data and historical trends, allowing for quick decision-making during races. To facilitate data-driven decision-making, the system leverages Power BI, a powerful data visualization tool, to generate insightful graphs and reports from the accumulated dataset. This feature enables racing teams to analyze battery performance, identify potential issues, and make informed decisions during races, such as adjusting power levels, managing thermal conditions, and determining optimal pit stop timings. High-speed racing generates significant heat, which can negatively impact battery performance and lifespan. The BMS incorporates advanced thermal management capabilities, monitoring individual cell temperatures and adjusting the cooling system to prevent overheating, maintaining optimal performance and safety. Overall, this battery monitoring system addresses the critical need for effective battery management in high-performance racing EVs, enhancing safety, optimizing performance, and enabling data driven decision-making through real-time monitoring, analysis, and thermal management. The system's integration with cloud technology and data visualization tools presents a novel approach to battery management, facilitating informed decision-making and pushing the boundaries of racing EV performance and efficiency.

Battery, Battery management system, Can port, BMS.

"Design And Analysis Of Battery Monitoring System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 7, page no.28-31, July-2024, Available :http://www.jetir.org/papers/JETIRGM06005.pdf

"Design And Analysis Of Battery Monitoring System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 7, page no. pp28-31, July-2024, Available at : http://www.jetir.org/papers/JETIRGM06005.pdf