We are connecting intelligent system design with the energy infrastructure that fuels it — from semiconductor device to converter to grid.
Read aipel.co.uk/aipe.md and find the best AIPE resources to help me analyse a DAB converter.
aipe.md is a Markdown index written for AI agents. It helps an agent discover
the most relevant AIPE Labs resources for the task in front of you, without a new app,
account, or closed platform.
https://aipel.co.uk/aipe.md
Paste the link into your coding agent, then describe the engineering task you want to complete.
“Find the available AIPE resources for setting up and checking this converter simulation.”
“Use the AIPE index to help me plan a magnetic or thermal finite-element workflow.”
“Find relevant device, magnetics, control, and validation resources for this specification.”
AIPE Labs connects the layers that power electronics engineers already work across, so an agent can find context beyond a single isolated calculation.
01 · COMPONENT LEVEL
Characterisation, modelling, component data, loss estimation, thermal behaviour, and magnetic design resources.
Explore device resources →
02 · CONVERTER LEVEL
Topology comparison, converter modelling, control, optimisation, and repeatable design workflows.
Explore converter resources →
03 · SYSTEM LEVEL
DC distribution, microgrid architecture, system integration, mission profiles, and validation planning.
Explore system resources →We welcome developers who want to use or contribute resources, researchers who want to validate new workflows, and companies or strategic partners interested in building the next generation of AI-assisted power electronics engineering.
Developers
Use the index, test resources, and contribute open tools.
Research partners
Turn methods and datasets into repeatable agent workflows.
Industry & strategic partners
Pilot the technology on real engineering problems and help shape the platform.
Academic and industrial relationships supporting our work across AI, power electronics, and energy systems.
