Project cooperationUpdated on 11 June 2025

Circular Adaptation for Road Vehicle Sustainability (CARS)

Professor-Operation and Maintenance Engineering at Luleå University of Technology-Division of Operation and Maintenance Engineering

Luleå, Sweden

About

We invite industry partners, researchers, and sustainability experts to co-develop a proposal focused on Circular Adaptation for Road Vehicle Sustainability (CARS). The project aims to reduce climate and environmental impact across the entire vehicle value chain—from design and manufacturing to decommissioning—through innovative circular economy strategies.

Project Vision

CARS targets the development of circular models that integrate:

Life extension strategies using RAMS-based engineering
Part-out processes for recovering and reusing valuable components
An Approved Circular Parts Accreditation Framework
Scalable tools for remanufacturing, reuse, and recycling
Business models promoting sustainability and digital transformation

These measures aim to minimize material waste, reduce GHG emissions, and retain embedded value, supporting a sustainable and circular automotive industry aligned with national and EU climate goals.

Stage

Early idea
Already defined

Topic

Data technologies | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.
Data technologies | (AI based) process and system control technologies
Data technologies | (AI based) Material and Product Design, Decomposition and Separation
Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)
Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
Enabling technologies | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
Enabling technologies | Network design of reverse supply chains

Type

Consortium seeks Partners

Organisation

Luleå University of Technology-Division of Operation and Maintenance Engineering

University

Luleå, Sweden

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