Towards robotizing the processes of testing lithium-ion batteries

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Towards robotizing the processes of testing lithium-ion batteries. / Rastegarpanah, Alireza; Ahmeid, Mohamed; Marturi, Naresh; Attidekou, Pierrot S; Musbahu, Muhammad; Ner, Rohit; Lambert, Simon; Stolkin, Rustam.

In: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 05.03.2021.

Research output: Contribution to journalArticlepeer-review

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@article{b770ee362dec4ad48657ea537d546335,
title = "Towards robotizing the processes of testing lithium-ion batteries",
abstract = "To boost the circular economy of the electric vehicle battery industry, an accurate assessment of the state of health of retired batteries is essential to assign them an appropriate value in the post automotive market and material degradation before recycling. In practice, the advanced battery testing techniques are usually limited to laboratory benches at the battery cell level and hardly used in the industrial environment at the battery module or pack level. This necessitates developing battery recycling facilities that can handle the assessment and testing undertakings for many batteries with different form factors. Towards this goal, for the first time, this article proposes proof of concept to automate the process of collecting the impedance data from a retired 24kWh Nissan LEAF battery module. The procedure entails the development of robot end-of-arm tooling that was connected to a Potentiostat. In this study, the robot was guided towards a fixed battery module using visual servoing technique, and then impedance control system was applied to create compliance between the end-of-arm tooling and the battery terminals. Moreover, an alarm system was designed and mounted on the robot{\textquoteright}s wrist to check the connectivity between a Potentiostat and the battery terminals. Subsequently, the electrochemical impedance spectroscopy test was run over a wide range of frequencies at a 5% state of charge. The electrochemical impedance spectroscopy data obtained from the automated test is validated by means of the three criteria (linearity, causality and stability) and compared with manually collected measurements under the same conditions. Results suggested the proposed automated configuration can accurately accomplish the electrochemical impedance spectroscopy test at the battery module level with no human intervention, which ensures safety and allows this advanced testing technique to be adopted in grading retired battery modules.",
keywords = "Robot end-of-arm tooling, lithium-ion battery, electrochemical impedance spectroscopy, visual-servoing, finite-element analysis",
author = "Alireza Rastegarpanah and Mohamed Ahmeid and Naresh Marturi and Attidekou, {Pierrot S} and Muhammad Musbahu and Rohit Ner and Simon Lambert and Rustam Stolkin",
year = "2021",
month = mar,
day = "5",
doi = "10.1177/0959651821998599",
language = "English",
journal = "Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering",
issn = "0959-6518",
publisher = "SAGE Publications",

}

RIS

TY - JOUR

T1 - Towards robotizing the processes of testing lithium-ion batteries

AU - Rastegarpanah, Alireza

AU - Ahmeid, Mohamed

AU - Marturi, Naresh

AU - Attidekou, Pierrot S

AU - Musbahu, Muhammad

AU - Ner, Rohit

AU - Lambert, Simon

AU - Stolkin, Rustam

PY - 2021/3/5

Y1 - 2021/3/5

N2 - To boost the circular economy of the electric vehicle battery industry, an accurate assessment of the state of health of retired batteries is essential to assign them an appropriate value in the post automotive market and material degradation before recycling. In practice, the advanced battery testing techniques are usually limited to laboratory benches at the battery cell level and hardly used in the industrial environment at the battery module or pack level. This necessitates developing battery recycling facilities that can handle the assessment and testing undertakings for many batteries with different form factors. Towards this goal, for the first time, this article proposes proof of concept to automate the process of collecting the impedance data from a retired 24kWh Nissan LEAF battery module. The procedure entails the development of robot end-of-arm tooling that was connected to a Potentiostat. In this study, the robot was guided towards a fixed battery module using visual servoing technique, and then impedance control system was applied to create compliance between the end-of-arm tooling and the battery terminals. Moreover, an alarm system was designed and mounted on the robot’s wrist to check the connectivity between a Potentiostat and the battery terminals. Subsequently, the electrochemical impedance spectroscopy test was run over a wide range of frequencies at a 5% state of charge. The electrochemical impedance spectroscopy data obtained from the automated test is validated by means of the three criteria (linearity, causality and stability) and compared with manually collected measurements under the same conditions. Results suggested the proposed automated configuration can accurately accomplish the electrochemical impedance spectroscopy test at the battery module level with no human intervention, which ensures safety and allows this advanced testing technique to be adopted in grading retired battery modules.

AB - To boost the circular economy of the electric vehicle battery industry, an accurate assessment of the state of health of retired batteries is essential to assign them an appropriate value in the post automotive market and material degradation before recycling. In practice, the advanced battery testing techniques are usually limited to laboratory benches at the battery cell level and hardly used in the industrial environment at the battery module or pack level. This necessitates developing battery recycling facilities that can handle the assessment and testing undertakings for many batteries with different form factors. Towards this goal, for the first time, this article proposes proof of concept to automate the process of collecting the impedance data from a retired 24kWh Nissan LEAF battery module. The procedure entails the development of robot end-of-arm tooling that was connected to a Potentiostat. In this study, the robot was guided towards a fixed battery module using visual servoing technique, and then impedance control system was applied to create compliance between the end-of-arm tooling and the battery terminals. Moreover, an alarm system was designed and mounted on the robot’s wrist to check the connectivity between a Potentiostat and the battery terminals. Subsequently, the electrochemical impedance spectroscopy test was run over a wide range of frequencies at a 5% state of charge. The electrochemical impedance spectroscopy data obtained from the automated test is validated by means of the three criteria (linearity, causality and stability) and compared with manually collected measurements under the same conditions. Results suggested the proposed automated configuration can accurately accomplish the electrochemical impedance spectroscopy test at the battery module level with no human intervention, which ensures safety and allows this advanced testing technique to be adopted in grading retired battery modules.

KW - Robot end-of-arm tooling

KW - lithium-ion battery

KW - electrochemical impedance spectroscopy

KW - visual-servoing

KW - finite-element analysis

U2 - 10.1177/0959651821998599

DO - 10.1177/0959651821998599

M3 - Article

JO - Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering

JF - Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering

SN - 0959-6518

ER -