G-BS for ESS finds application in grid energy storage, industrial and commercial setups, household usage, and other fields. It offers battery pack protection, real-time monitoring of battery status, early fault detection, and ensures the energy storage system operates efficiently and safely.
Applications of Energy Storage BMS
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Gerchamp BMS optimizes battery usage, extends battery lifespan, reduces costs, and enhances the overall stability of the solar system.
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It offers early warnings and control in case of battery deterioration, preventing safety incidents and ensuring the safe, stable, and efficient conversion and storage of wind power.
Project
150MW/600MWh Tarim Oilfield BESS Project
Located in the desert outskirts of Kashgar, Xinjiang, the 150MW/600MWh energy storage project supports the Tarim Oilfield under China National Petroleum Corporation (CNPC). Gerchamp provides advanced BMS solutions to ensure reliable performance in extreme conditions. Since project launch, GERCHAMP BMS has safeguarded the safe and efficient operation of 45 energy storage units across 3.42 hectares, enhancing system stability, battery life, and overall economic performance.
200MW/400MWh Binhai C&I ESS Project
The 200MW/400MWh Energy Storage Station in Binhai, Jiangsu is China’s largest string-type ESS project. GERCHAMP’s BMS is integrated across 1,080 C&I cabinets, providing robust battery safety and system reliability. The solution supports critical ancillary services such as peak shaving, frequency regulation, power back-up and demand-side response—enhancing grid stability and economic performance.
Benefits of Using Battery Management System in Energy Storage
The Gerchamp G-BS system employs a 3+1 level architecture, offering comprehensive solutions for data acquisition, analysis, logic processing, and mapping. It ensures battery pack safety with protections against overcharge, over-discharge, overcurrent, overtemperature, and short circuits. Moreover, it conducts real-time detection and fault diagnosis of battery security status while accurately estimating SOC/SOH (State of Charge/State of Health).
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