Dynamic Bayesian network-based disassembly sequencing optimization for electric vehicle battery

Author:

Xiao Jinhua,Anwer Nabil,Li Weidong,Eynard Benoît,Zheng Chen

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering

Reference39 articles.

1. A Review of Physical Processes Used in the Safe Recycling of Lithium Ion Batteries;Sommerville;Sustainable Materials and Technologies,2020

2. Lithium-ion Battery Aging Mechanisms and Diagnosis Method for Automotive Applications: Recent Advances and Perspectives;Xiong;Renewable and Sustainable Energy Reviews,2020

3. Mordor Intelligence, The Market is Segmented by Battery Type (Lead-acid Battery, Lithium-ion Battery, and Other Battery Types), Vehicle Type (Battery Electric Vehicle (BEV), Plug-in Hybrid Electric Vehicle (PHEV), and Hybrid Electric Vehicle (HEV)), and Geography (North Ameri), 2021.

4. Development of Recycling Strategy for Large Stacked Systems: Experimental and Machine Learning Approach to Form Reuse Battery Packs for Secondary Applications;Garg;Journal of Cleaner Production,2020

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