High Voltage Lithium Batteries 51.2V 96V 192V for Commercial Solar Storage

• Customization: Available
• Type: Li-ion Battery
• Cathode Material: Lithium
• Model NO.: SAS-384HV
• Rechargeable: No
• Size: Medium
• Design Life: 10+ Years
• Communication: RS32, RS485, Can
• Cycle Life: More Than 6000
• Certification: IEC/CE/Un38.3
• Transport Package: Wodden Carton with Pallet
• Specification: 442mmx650mmx220mm
• Trademark: Sail Solar
• Origin: Anhui, China
• Production Capacity: 1000 Piece/Pieces Per Month

Product Description

 

Product Description

 

 

 

 

Writing Diagram

 

ALWAYS HAVE BACKUP POWER

1. Modular design gives the end customers more choices of battery capacity.

2. Compatible with most hybrid inverter and off-grid inverter.

3. Simple buckle fixation, minimize installation time and cost
 

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Attractive Design

Sail Solar Lithium battery has compact design, LCD screen, convenient setting buttons, bluetooth Monitor on your smartphones, and cables&accessories ready for installation. To welcome the world cooperation we accept OEM with your logo design!

Wide Application

Sail Solar Lithium battery powerwall series are widely used in solar systems for residential and commercial use. With more than 6000 times. Deep cycle, up to 90% DOD and phosphate battery Cell, Sail Solar Powerwall has won global approval!

 

 

Top Raw Material

CATL is leading lithium battery cells manufacturer all over the world, Here are four advantages of CATL 1.A high energy density. 2.A good cycling performance. The cycle life is 6000 times. 3.A long battery life. 4. Good low temperature performance.
 

 

Our Factory

 

Factory Features

Sail Solar has developed an industry-leading intelligent manufacturing system, and constantly leads innovation in equipment and technology with the independent R&D of a top-notch technical team. With world-class production automation, intelligence, and production efficiency, Sail Solar has built an efficient intelligent factory employing new technologies such as AI, image recognition, machine learning, predictive algorithms and 5G.

 

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