Delete search term

To content

Main navigation

Zurich University
of Applied Sciences

Service navigation

Advanced Imaging and Machine Learning for PV Quality Assurance

Description

A multi-imaging setup is developed for investigating lab-scale solar cells and for obtaining spatially resolved information about the cell quality. Machine learning is used to estimate parameters for a physical FEM model that serves as a digital twin for further optimization.

Key data

Projectlead

Deputy Projectlead

Mattia Battaglia

Co-Projectlead

Dr. Sandra Jenatsch

Project partners

Fluxim AG; Solaronix S.A.

Project status

completed, 01/2022 - 03/2025

Institute/Centre

Institute of Computational Physics (ICP); Institute of Energy Systems and Fluid Engineering (IEFE); Institute of Product Development and Production Technologies (IPP)

Funding partner

Innovationsprojekt / Projekt Nr. 58054.1 IP-EE

Privacy Settings

Here we show you which services may run on our website. You decide for yourself which services we may use. You can find more information in our privacy notice.

Our website needs these cookies so that everything works properly. These cookies are created automatically when you are active on the site – for example, when you change privacy settings or fill in forms. You can block these cookies in your browser or set it to warn you about them, but some parts of the website will then no longer display correctly. These cookies do not store any of your personal data.

These services allow us to see how our website is used, but we do not know who you are. By activating these services, you help us make the website better for everyone.