SKU: 87347547757

Votronic MPPT 25A Duo (Dual) 350 Marine Version Solar Charge Controller

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Votronic MPPT 25A Duo (Dual) 350 Marine Version Solar Charge ControllerVotronic MPPT 25A Duo 350 Marine Solar Charge Controller: Precision Dual Battery Charging for Harsh Environments Advanced MPPT Technology for Maximum Solar Yield in Marine and Mobile Applications The Votronic MPPT 25A Duo 350 Marine Version is a high performance solar charge controller engineered for demanding off grid energy systems in motorhomes, caravans, and marine vessels. Utilising Maximum Power Point Tracking (MPPT) technology, this controller

Votronic MPPT 25A Duo 350 Marine Solar Charge Controller: Precision Dual-Battery Charging for Harsh Environments

Advanced MPPT Technology for Maximum Solar Yield in Marine and Mobile Applications

The Votronic MPPT 25A Duo 350 Marine Version is a high-performance solar charge controller engineered for demanding off-grid energy systems in motorhomes, caravans, and marine vessels. Utilising Maximum Power Point Tracking (MPPT) technology, this controller continuously optimises the power output from your solar array, delivering up to 30% more charging current compared to conventional PWM controllers. This efficiency gain is particularly noticeable during overcast conditions, low-light winter months, or when solar irradiance is variable, ensuring your batteries receive a reliable charge when you need it most.

Designed specifically for 12V battery systems, the Votronic MPP 350 Duo supports solar arrays up to 350Wp with a maximum input voltage of 50V (Voc) and current up to 21A. Its high-frequency switching design achieves an efficiency exceeding 95%, minimising energy losses and maximising the usable power delivered to your battery bank.

Humidity-Proof Construction for Marine and Coastal Reliability

This Marine Version features a humidity-proof design, making it suitable for installation in environments where moisture and condensation are a concern, such as boats, coastal caravans, and motorhomes. The conformally coated electronics protect against corrosion and electrical faults caused by damp air, significantly reducing the risk of premature failure compared to standard controllers. Both the controller and any connected display must be installed inside the vehicle or vessel, away from direct water exposure, to maintain this protection.

Simultaneous Dual-Battery Charging with Intelligent Prioritisation

One of the standout features of the Votronic MPP Duo series is its ability to charge two independent battery banks simultaneously. The primary output delivers up to 25.5A to your house/service battery (BOARD I), while a secondary output provides up to 1A of support and trickle charging to your vehicle's starter battery (Start II). This ensures your engine battery remains topped up during storage or extended off-grid stays, preventing the inconvenience of a flat starter battery. Both outputs are protected against overcharging, reverse current, and overload.

Adaptive Charging Profiles for Lead-Acid and LiFePO4 Batteries

The controller features a sophisticated IU1oU2 charging characteristic with selectable profiles for various battery chemistries. It includes 3 pre-configured programs for lead-acid, gel, and AGM batteries, plus 5 dedicated programs for LiFePO4 (Lithium Iron Phosphate) batteries with integrated Battery Management Systems (BMS). The LiFePO4 profiles incorporate temperature-based protection, automatically adjusting charging parameters to safeguard the battery against extreme temperatures. For lead-acid batteries, an optional temperature sensor (Order No. 2001) enables voltage compensation, improving charge acceptance in cold weather and reducing gassing in high temperatures.

Key Features at a Glance

  • MPPT technology boosts charging current by 10% to 30% versus standard controllers, especially in low-light conditions
  • Dual-battery charging with 25.5A main output and 1A trickle charge for starter battery maintenance
  • Humidity-proof electronics for reliable operation in marine and high-moisture environments
  • Wide solar input range up to 350Wp, 50V Voc, and 21A for flexible panel configurations
  • 8 selectable charging programs for lead-acid, gel, AGM, and LiFePO4 batteries with temperature protection
  • AES refrigerator output automatically switches compatible Dometic/Electrolux fridges to 12V when excess solar power is available
  • Integrated 30A blade fuse and comprehensive protection against overload, overheating, short circuit, and reverse polarity
  • Plug-in ready for Votronic LCD Solar Computer S, VPC, or Bluetooth Connector for system monitoring
  • EBL measurement output for compatibility with Schaudt Elektroblock displays (cable set Art. 2007 required)
  • Automatic charging cable compensation corrects voltage drop for accurate battery charging

Smart Energy Management with AES Refrigerator Control

The built-in AES (Automatic Energy Selector) terminal intelligently switches compatible Dometic or Electrolux absorption refrigerators from gas to 12V operation when surplus solar energy is available. This maximises the use of free solar power, reducing gas consumption and extending your off-grid autonomy. An LED indicator clearly shows when the AES function is active.

Comprehensive System Monitoring and Integration

Stay informed about your solar system's performance with the controller's intuitive LED indicators, which display MPP operation, battery state of charge (>80%, Full), AES status, and low voltage warnings. For more detailed data, the controller is plug-in ready for the Votronic LCD Solar Computer S, VPC, or Bluetooth Connector, allowing you to monitor charging currents, battery voltage, and energy yields in real time. Additionally, the EBL measurement output enables integration with Schaudt Elektroblock systems, displaying solar current on your existing control panel (compatibility should be verified prior to installation).

Built to Last with Robust Protection Features

Safety and longevity are paramount in mobile installations. The Votronic MPP 350 Duo includes an integrated 30A blade fuse for circuit protection, along with electronic safeguards against overload, overheating, short circuit, and reverse battery connection. The on-board mains suppression filter ensures trouble-free parallel operation with other charging sources such as alternators, mains chargers, or generators. With an operating temperature range of -20°C to +45°C and CE/E-approval for vehicle use, this controller is built to perform reliably in Australian conditions.

Compact and Lightweight Design for Easy Installation

Measuring just 77 x 131 x 40 mm and weighing only 285 g, the Votronic MPP 350 Duo is easy to install in tight spaces typical of motorhome and marine electrical compartments. The clearly labelled terminals accept solar panel and battery connections with ease, and the included wiring diagram simplifies setup for both professional installers and experienced DIY users.

Upgrade Your Off-Grid Power System Today

Whether you're cruising the coast, exploring the outback, or living off-grid, the Votronic MPPT 25A Duo 350 Marine Solar Charge Controller delivers the efficiency, durability, and intelligent battery management you need. Order now to maximise your solar harvest and protect your batteries with advanced MPPT technology designed for the toughest environments.

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SKU: 87347547757

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Lexington, US
★★★★★ 5
Excellent book, possibly currently unique in coverage of latest ideas
This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier. Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas. However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon). As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful. Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics). I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book. In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
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Reviewed in the United States on April 18, 2017
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Zygerian99
Pawtucket, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
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Shannon
Phoenix, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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Reviewed in the United States on November 30, 2025
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Verified Purchase
William P Ross
Pawtucket, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
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Reviewed in the United States on March 15, 2017
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Verified Purchase
Adam
Bozeman, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
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Reviewed in the United States on May 22, 2026

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