Growatt cable set for ARK 2.5H-A1 battery in 2 series/array
The Growatt cable set for ARK 2.5H-A1 battery in 2 series/array is a tailor-made solution for the optimal connection and integration of two battery series or arrays with your energy system. With this special cable set you can ensure that the connection between the ARK 2.5H-A1 batteries and your inverter is made efficiently, reliably and safely. It is designed to ensure an even distribution of energy between the batteries and to ensure the smooth functioning of your energy storage system.
Product features:
Efficient connection: The cable set provides an efficient and reliable connection between the ARK 2.5H-A1 batteries and the inverter to ensure a consistent flow of energy. Customizable length: The cable set is designed to be customized to meet the specific needs of your system. High-quality materials: The cables and connectors of the set are made of high-quality materials that ensure durability and safety. Easy installation: The cable set is designed for easy installation and includes all the necessary components to make the process as convenient as possible.
Technical data:
Model: Growatt Cable Set for ARK 2.5H-A1 Battery in 2 Series/Array Compatibility: ARK 2.5H-A1 batteries and inverters Number of battery rows/arrays: 2 Connector types: Specific connectors for the batteries and the inverter
Advantages:
The Growatt cable set for ARK 2.5H-A1 battery in 2 series/array offers a number of advantages for owners of energy storage systems. It ensures an even distribution of energy between the batteries and thus enables optimal use of the stored energy.
Areas of application:
The cable kit is ideal for use in systems with two battery rows or arrays where uniform connection and power distribution is required. It is suitable for residential, commercial and other higher energy demand applications.
Compatibility:
The Growatt cable kit is specifically designed for use with two ARK 2.5H-A1 battery rows or arrays and compatible inverters, ensuring seamless integration and optimal performance.
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