Projects
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FBoT Mobile
Towards Net-Zero Carbon Emission with Mobile Hydraulics
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Compact FBoT Design
Compact and Cost-effective Design of Hydraulic Full-Bridge Oscillation Transformer
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FBoT AI Control
Smart AI Control of Hydraulic Transformers Using Reinforcement Learning
FBoT Mobile
Towards Net-Zero Carbon emission with Mobile Hydraulics
At Hyneron, we are committed to advancing hydraulic technology that not only meets the performance demands of modern machinery but also drives sustainable transformation. Our latest initiative, FBoT Mobile – Towards Net-Zero Carbon Emissions with Mobile Hydraulics, reflects our commitment to engineering solutions that reduce energy usage, CO₂ emissions, and infrastructure costs. This project is conducted with Danfoss Power Solutions and Energy Technology at Aalborg University as partners.
In this groundbreaking project, Hyneron develops and integrates a novel hydraulic transformer system into a midsize wheel loader. This advanced hydraulic architecture introduces a new level of energy efficiency by enabling energy recovery during motion braking, such as when lowering heavy loads—an innovation that significantly reduces both energy consumption and CO₂ emissions.
The project culminates in a full-scale field test, comparing the energy performance of the transformer-based hydraulic system with that of a conventional system. This side-by-side evaluation provides real-world proof of the system’s potential to lower operational costs, decrease energy infrastructure demands, and contribute meaningfully to a net-zero carbon future.
Beyond performance validation, the project also includes a thorough analysis of the economic and environmental benefits of deploying the FBoT-based system at scale.
Hyneron's work on this project represents our deep commitment to delivering knowledge-driven engineering solutions that meet the challenges of tomorrow—efficient, sustainability, and feasibility.
Compact and Cost-effective Design of Hydraulic Full-Bridge Oscillation Transformer
At HyNeron, we are excited to have Nicklas Ziewitz and Tobias Kragelund, students from the Electro-Mechanical Systems Design (EMSD) program at Aalborg University, working on a Master thesis related to our FBoT technology.
This project aims to develop a compact and cost-effective hydraulic full-bridge oscillation transformer, focusing on optimizing the design to enhance efficiency, reduce size, and lower production costs. The key objectives are to implement innovative design strategies to achieve a compact form factor without compromising performance, and to identify and integrate cost-effective materials and manufacturing processes.
The mechanical simplicity of the full-bridge oscillation transformer entail a need for clever control, and we are thrilled to have Kasper Juhl Mortensen working on an innovative AI-based control solution for our FBoT technology in his Master thesis. Kasper is a student from the Electro-Mechanical Systems Design (EMSD) program at Aalborg University.
This project aims to develop an intelligent control system for hydraulic transformers using reinforcement learning. By leveraging AI, the system will optimize the performance and efficiency of hydraulic FBoT transformers. The key objectives are to design control algorithms that can learn and improve over time, enhance operational reliability, and reduce energy consumption. The outcome will be a smart, AI-driven control solution that significantly improves the functionality and efficiency of our FBoT technology.