PEM Researches Digitization of Battery Production and Long-Distance Transport
The Chair of Production Engineering of E-Mobility Components (PEM) of RWTH Aachen University has begun working in two digitization projects. Until the end of 2024, "DRivE" is dedicated to data-based route planning for intelligent road freight transport with alternative drives. Meanwhile, the "ENLARGE" project is looking at flexible, networked and adaptive battery manufacturing until mid-2026.
"DRivE" aims to increase planning security for transport companies
"DRivE" is funded by the Federal Ministry for Digital and Transport and is intended to make it easier for freight forwarders to switch to eco-friendly heavy-duty trucks in long-distance transport. To this end, PEM, together with FIR at RWTH Aachen University and numerous partners from various areas of the logistics industry, is developing and testing a route planning system based on real-time data from vehicles and refueling or charging infrastructure. "If we are to achieve the climate targets, long-distance routes must also be completed using alternative drives," says PEM Director Professor Achim Kampker. "In the transport business, this has so far been countered by the lack of transparency of available charging and refueling infrastructure and the associated concern about detours or waiting times." A new routing algorithm is therefore intended to increase the planning reliability of transport companies and thereby encourage companies to invest in eco-friendly drive technologies.
"ENLARGE" conducts research on digital solutions in battery production
Meanwhile, in the "ENLARGE" project supported by the Federal Ministry of Education and Research, PEM is working with several partners from industry and research on standardized data exchange of networked production systems in battery manufacturing. "Our goal is to create digital solutions that enable seamless traceability, digital twins, 'battery passports', and transferable AI applications," says Kampker. To this end, the consortium team is addressing two main issues in the digitization of battery cell production. One is to create a map of relevant parameters and their characteristics to help companies and researchers identify critical features to build digital solutions. On the other hand, the problem of data consistency will be addressed, especially with regard to incompatible data descriptions as well as translation and transformation efforts.