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Research project HVBattRepair4CV: Intelligent diagnostics for high-voltage batteries in the commercial vehicle sector

Repairing high-voltage battery systems in buses and trucks is both technically complex and economically challenging. Currently, damaged battery modules are often replaced entirely—even when repair is feasible—resulting in significant costs for operators and unnecessary waste of resources.

In the ZIM-funded research project HVBattRepair4CV, amperias is collaborating with actain engineering and Theo Boeckels Nutzfahrzeuge to develop intelligent software and hardware solutions for the precise diagnosis of high-voltage batteries. The goal is to establish a sustainable, future-proof repair infrastructure for the commercial electric mobility sector.

At the heart of the project is innovative diagnostic software featuring integrated Large Language Model (LLM) technology. This AI-driven solution guides technicians step-by-step through the diagnostic process, provides references from relevant manuals and manufacturer data, and leverages historical insights from past diagnostic reports. Amperias is responsible for the digitalization, IT integration, and AI orchestration of this intelligent diagnostic solution, thereby contributing significantly to the consortium's core technological expertise. The project combines specialized knowledge in battery diagnostics, vehicle engineering, and modern digital infrastructure.

The outcome is a set of innovative processes and technologies that reduce repair costs, increase vehicle availability, accelerate knowledge transfer among technicians, and advance the circular economy within the e-mobility sector.

Customer
Bundesministerium für Wirtschaft und Klima/ ZIM
Tools & Software
Azure
FastAPI
LangChain
LangGraph
Neo4j
Next.js