Establishing Second-life Application Suitability Classification Criteria for Retired Batteries using Autoencoder and K-Means Clustering-Reference-Cited by-同舟云学术

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Establishing Second-life Application Suitability Classification Criteria for Retired Batteries using Autoencoder and K-Means Clustering

Published:2024-06-14 Issue: Volume:5 Page:146-151
ISSN:
Container-title:2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)
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Author:

Radaza Marvin A.¹,Jueco Jayson C.¹,Abalorio Joshua Carl A.¹,Daan Wildan O.¹,Daculara Cyrill Laurence P¹,Batayola Ferdinand F.¹,Narvios Wilen Melsedec O.¹

Affiliation:

1. Cebu Technological University,Department of Electrical Engineering,Cebu,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10638335/10638336/10638346.pdf?arnumber=10638346

Reference14 articles.

1. Economy analysis of second-life battery in wind power systems considering battery degradation in dynamic processes: Real case scenarios

2. Identification of Challenges for Second-Life Battery Systems—A Literature Review

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

4. Battery Lifetime Prognostics

5. Progress and Challenges on Battery Waste Management :A Critical Review

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