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DFUN BMS: Powering Indonesian Data Centers with Robust Energy

Author: Site Editor     Publish Time: 2025-04-08      Origin: Site

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dfun indonesia battery monitoring system

Project Overview

The Indonesian data center project aims to build a highly efficient, stable, and secure facility for data storage and processing. To ensure uninterrupted power supply, the project utilizes 9,454 units of 12V VRLA Hoppecke batteries. DFUN’s Battery Management System (BMS), renowned for its exceptional performance and reliability, serves as a critical component of the data center’s backup power system.


Value and Significance of the BMS System


Real-Time Monitoring & Alerts: Ensuring Power Supply Reliability

DFUN’s BMS provides comprehensive, real-time monitoring of all 9,454 batteries, accurately capturing critical parameters such as voltage, current, internal resistance, and temperature. By analyzing real-time data, the system instantly alerts operators to anomalies, enabling swift corrective actions. This capability equips the backup power system with "clairvoyant vision" and "acute hearing," ensuring stable and reliable power under all conditions, thereby preventing operational losses caused by outages.

Optimized Charging/Discharging: Extending Battery Lifespan

The BMS intelligently adjusts charging strategies based on real-time battery status, optimizing the charging/discharging process. It eliminates risks such as overcharging or undercharging, extending battery lifespan by 30% and improving charging/discharging efficiency by 15%. For this data center, annual savings from reduced battery replacement and maintenance costs amount to approximately USD 28,500.

Automated Management: Enhancing Operational Efficiency

Traditional battery management requires frequent manual inspections, but DFUN’s BMS enables automated oversight. Through a centralized platform, operators monitor battery health remotely and automate routine tasks like equalization charging and fault diagnosis. Post-implementation, manual inspections decreased by 50%, and daily maintenance time was reduced by 40%, driving smarter, more efficient data center operations.

Data-Driven Decision Support: Empowering Business Growth

The BMS collects and analyzes historical data to support strategic decisions. For example, predicting battery replacement timelines based on degradation trends or optimizing power usage patterns to enhance operational efficiency. Data-driven insights allow the data center to adapt dynamically to business needs and deliver superior services.


Battery-Monitoring-System-Case-Study


PBMS9000 + PBAT51 Solution: A Fusion of Efficiency and Safety

This project employs DFUN’s PBMS9000 + PBAT51 solution.

  • PBMS9000 leverages advanced centralized management and efficient communication protocols to enable remote monitoring of large-scale battery arrays. Its intelligent load-balancing feature allocates charging/discharging currents based on battery health and load conditions, preventing localized overcharging/discharging and boosting system reliability by 40%.

  • PBAT51, a high-performance battery sensor, delivers precise measurements of voltage, internal resistance, and temperature. Its robust anti-interference capability ensures stable operation in complex electromagnetic environments.

Together, this solution reduces failure rates by 35% and ensures every battery operates optimally, providing a solid foundation for the data center’s stable performance.


battery-monitoring-system-51


Conclusion

DFUN’s BMS delivers transformative value to the Indonesian data center, enhancing power reliability, operational efficiency, and decision-making capabilities. Choosing DFUN’s BMS means safeguarding the future of data-driven infrastructure.


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