R3-Mydas • E-vehicle Batteries

Smarter End-of-Life Decisions

As electric vehicle adoption grows, managing batteries at the end of their first life is a challenge for the industry. When an electric vehicle battery is no longer suitable for its original use, stakeholders must decide whether it can be reused, repurposed, remanufactured or recycled. Using battery data, State-of-Health diagnostics and robotic disassembly, R3-Mydas supports safer, more efficient and circular battery value chains.

The Challenge

These decisions depend on the battery's condition, especially its State of Health. However, battery lifecycle data is often fragmented, incomplete or difficult to verify. Battery disassembly also presents major operational and safety challenges: EV battery packs are complex systems comprising housings, cooling structures, connectors, modules and cells, often secured with dozens or even hundreds of screws. The challenge is therefore twofold — understand the real condition of the battery through trustworthy diagnostics, and make disassembly safer, more efficient and more adaptable to different battery designs.

The R3-Mydas Solution

R3-Mydas combines battery diagnostics, AI-based decision support and robotic disassembly to make end-of-life battery management safer, more reliable and easier to scale — closing the loop between end-of-life assessment and practical circular battery processing.

How It Works

State-of-Health diagnostics

One-shot hybrid assessment

AI-driven decision support

Robotic battery disassembly

Computer vision & precision screwdriving

Human-robot collaboration

KPIs Achieved

R3-Mydas improves the way EV battery condition is assessed, combining data analytics, anomaly detection and automated disassembly to support safer and more reliable end-of-life decisions.

Improvement in the visualization of causal relationships

Improved detection of deviations from normal behaviour

Faster anomaly localisation

Increase in handled data-stream modalities

Faster data fusion process

Sustainability

R3-Mydas helps turn EV battery end-of-life into a smarter decision-making process. Instead of treating used batteries as waste by default, the project supports safer and more informed choices on whether batteries, modules or cells can continue to generate value.

Keeping battery value in use for longer

Avoiding premature recycling

Safer dismantling of complex battery packs

Better use of critical materials

Data-driven circular decisions

Use Case Lead

Lead Partner

This use case is led by AVL, focused on mobility engineering, e-mobility, battery development, testing and data-driven vehicle technologies.

Contact Information:
Partner Website — www.avl.com
Bernhard Peischl — bernhard.peischl@avl.com

Download Factsheet (PDF)

By connecting battery data, diagnostics and robotic disassembly, R3-Mydas helps close the loop between end-of-life assessment and practical circular battery processing.

E-vehicle Batteries