Performance Evaluation of Retired Lithium-ion Batteries for Echelon Utilization-Reference-Cited by-同舟云学术

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Performance Evaluation of Retired Lithium-ion Batteries for Echelon Utilization

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
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Author:

Azizighalehsari Seyedreza¹,Venugopal Prasanth¹,Pratap Singh Deepak²,Rietveld Gert¹

Affiliation:

1. University of Twente (EEMCS),Department of Electrical Engineering, Mathematics and Computer Science,Enschede,The Netherlands

2. University of Twente (IMS),Inorganic Materials Science Group,Department of Science and Technology,Enschede,The Netherlands

Funder

European Regional Development Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9968313/9968303/09968496.pdf?arnumber=9968496

Reference17 articles.

1. End-of-life or second-life options for retired electric vehicle batteries

2. Driving to the future of energy storage: Techno-economic analysis of a novel method to recondition second life electric vehicle batteries

3. Energy and environmental benefits of circular economy strategies: The case study of reusing used batteries from electric vehicles

4. Performance assessment of retired EV battery modules for echelon use

5. A rapid classification method of the retired LiCoxNiyMn1−x−yO2 batteries for electric vehicles

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1. Enhancing cybersecurity in smart grids: Deep black box adversarial attacks and quantum voting ensemble models for blockchain privacy-preserving storage;Energy Reports;2024-06

2. Empowering Electric Vehicles Batteries: A Comprehensive Look at the Application and Challenges of Second-Life Batteries;Batteries;2024-05-14

3. T-Type Based Cascaded H-bridge Converter Operating as a Split AC Battery and Modified State-of-Charging Hierarchical Balancing Method;2023 IEEE 8th Southern Power Electronics Conference and 17th Brazilian Power Electronics Conference (SPEC/COBEP);2023-11-26

4. Li-ion Battery Prognostics with Statistical Model and RNN Trained with EIS-Based Features;2023 IEEE Energy Conversion Congress and Exposition (ECCE);2023-10-29

5. Data-Driven Methods for Robust Battery Capacity Estimation based on Electrochemical Impedance Spectroscopy;2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe);2023-09-04

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