Advanced robotics for automated EV battery testing using electrochemical impedance spectroscopy
This automated robotic framework enhances battery diagnostics by improving testing accuracy, reducing human intervention, and minimizing safety risks. The proposed approach shows promise for scaling EIS testing in industrial environments, contributing to efficient EV battery reuse and recycling processes.
Authors
- Rustam Stolkin (ORCID: https://orcid.org/0000-0002-0890-8836)
- Alireza Rastegarpanah (ORCID: https://orcid.org/0000-0003-4264-6857)
- Enrico Villagrossi (ORCID: https://orcid.org/0000-0002-9493-4175)
- Mohamed Ahmeid (ORCID: https://orcid.org/0000-0003-0903-6248)
- Cesar Alan Contreras (ORCID: https://orcid.org/0009-0005-2866-8672)
- Mohammed Eesa Asif
Institutions
- Birmingham City University (GB)
- National Research Council (IT)
- The Faraday Institution (GB)
- University of Birmingham (GB)
- Newcastle University (GB)
Publication Details
- Journal
- Frontiers in Robotics and AI
- Published
- 2025-01-10
- DOI
- https://doi.org/10.3389/frobt.2024.1493869
- Citations
- 5
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 3.41