LYN040102100 Victron Lynx Shunt VE.Can (M8)

The Victron Energy LYN040102100 Lynx Shunt VE.Can (M8) is an intelligent 1000A shunt, a crucial component for precise battery monitoring in solar power systems. This device is part of Victron Energy's modular Lynx distribution system, designed for efficient and reliable energy management.

Key Features and Benefits

• Precise Battery Monitoring: Accurately monitors the state of charge of your battery bank, providing essential data for optimal system performance.
• High Current Capacity: Handles currents up to 1000A, suitable for high-power solar installations.
• Modular Design: Integrates seamlessly with other components in the Victron Lynx system for a comprehensive energy monitoring and management solution.
• VE.Can Communication: Uses the VE.Can communication protocol for easy integration with other Victron Energy devices.
• Fuse Location: Includes a designated space for a fuse (fuse not included), enhancing system protection.
• Data Access: Requires a GX device (e.g., Cerbo GX) for data readout and system control.

Applications

The Victron Lynx Shunt is ideal for a wide range of applications, including:

• Off-grid solar power systems
• On-grid solar power systems with battery backup
• RV and marine applications
• Industrial and commercial solar installations

Why Choose the Victron Lynx Shunt?

Victron Energy is a leading provider of high-quality solar energy solutions. The Lynx Shunt VE.Can offers superior accuracy, reliability, and ease of integration, making it a smart choice for anyone seeking precise battery monitoring and efficient energy management. Its modular design allows for scalability and customization to meet the specific needs of your system.

Technical Specifications

For detailed technical specifications, please refer to the product manual.

This description is generated using artificial intelligence (AI) and may differ from the actual product. Common AI errors may include:

• Inaccurate product features: some technical specifications, colors, sizes or other parameters may be inaccurate or omitted.
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• Overly Optimistic Functions: in some cases functions may be provided whose product iš doesnt really have.
• Name or Model Discrepancies: AI may misrepresent the product name or model.

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