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Solar Power Manager For 12V Lead-Acid Battery

SKU TPX00047 Barcode 6959420914562 Show more
Original price €0
Original price €32,50 - Original price €32,50
Original price
Current price €32,50
€32,50 - €32,50
Current price €32,50
VAT included

A complete small power and high-efficiency solar power management module!

Overview

The DFRobot Solar Power Manager series are designed for IoT projects and renewable energy projects, providing safe and high-efficiency embedded solar power management modules for makers and application engineers.

This medium-power high-efficiency solar power management module allows you to charge a 12V lead-acid battery with a maximum of 4A using a standard 18V solar panel.
Solar Power Manager For 12V Lead-Acid Battery is a medium-power high-efficiency solar power management module, which is able to charge a 12V lead-acid battery with a maximum of 4A using a standard 18V solar panel. It is suitable for applications within 100W, such as 12V lighting equipment, security monitoring, small robots, pumps or environmental monitoring stations.

It features as MPPT(Maximum Power Point Tracking) function, maximizing the output power of solar panels under various sunlight. Compared with common PWM solar controllers, it can improve charging performance by 10%-30%. Benefited from its small size and light weight, it is easier to embed it in your projects.

The module provides dual high-power outputs 5V 5A (OUT1) and 12V 8A (OUT2) and dual USB outputs 5V 2.5A (USB1/USB2). Except USB1, all outputs can be turned ON/OFF by I/O pins of most controllers (3.3V/5V compatible).

This feature helps to dynamically power loads and reduce power consumption. Various protection functions are also employed to ensure the safety and stability of the solar systems.


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PROJECT HUB
Accessing and Displaying the Portenta Vision Shield  - LoRa Image
Accessing and Displaying the Portenta Vision Shield - LoRa Image
Project Tutorial by soothingmist

Begins a process of combining Portenta H7 with Vision Shield – LoRa by acquiring, sending, and displaying a camera image via USB/Serial connection.

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Let’s connect at The Things Conference 2023
Let’s connect at The Things Conference 2023
September 13, 2023

It’s time to catch up on all things LoRaWAN® and low-power IoT! Our team is looking forward to returning to The Things Conference this year, joining all LoRa® key players in Amsterdam on September 21st-22nd. Our experts will be showcasing new products and applications relevant to the technology that is putting the “smart” in smart cities, smart agriculture, smart logistics, and more. Indeed, with IoT’s huge growth potential in both B2B and B2C applications, LoRaWAN® is stepping up as one of the technologies of the future. Already established as the low-power connectivity choice, according to The Things Network it is reaping the benefits of innovations that increase efficiency even further – and is poised to support ESG (environmental, social and governance) goals with reduced energy consumption and secure data transmission. LoRaWAN® novice, or expert? We’ve got you covered Whether you are just realizing the potential of LoRaWAN® or have been a fan of it since day one (like us!), we’ll have something for you to discover at our booth at The Things Conference: Looking for an entry-level option? The Arduino MKR WAN 1310 offers you the renowned versatility of the practical and cost-effective MKR family and adds LoRa® connectivity to projects requiring low power.Ready to take it up a notch? The solution for advanced applications requiring sturdy computational power is to boost Arduino Pro’s Portenta H7 module (in any of its three variants) with the capability to run embedded computer vision applications, connect wirelessly via LoRa® to the Arduino Cloud (or third-party infrastructure), and activate systems upon the detection of sound events. How? With the Portenta Vision Shield LoRa®, of course!Feel the need for high performance? Pair the Portenta Max Carrier with a Portenta X8 module to add LoRa® connectivity to your project, transforming your robust SOM into a single-board computer or reference design enabling edge AI for

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