Research On Task Allocation Of Power Battery Disassembly Based On Intelligent Optimization Algorithm
Authors: 
Zheng Zhou, Xiao Fang, Yiming Fang, Bin JiangAuthors Info & Claims
Zheng Zhou, Xiao Fang, Yiming Fang, Bin JiangAuthors Info & ClaimsArticle No.: 2, Pages 1 - 7
Abstract
Aiming at the low recycling efficiency of large-scale decommissioned power batteries and the unreasonable distribution of disassembly tasks, a mathematical model for disassembly optimization of power batteries was established to minimize the disassembly time of power batteries, and a hybrid algorithm of genetic algorithm and particle swarm algorithm was proposed to solve the problem. The algorithm is applied to solve a decommissioned power battery disassembly task assignment example, and realizes the efficient disassembly of power battery, which has certain guiding significance for the development and application of power battery disassembly equipment.
Index Terms: task allocation, optimization algorithm, battery disassembly
References
[1]
Gu X, Zhou L, Huang H, Electric vehicle battery secondary use under government subsidy: A closed-loop supply chain perspective[J]. International Journal of Production Economics, 2021, 234: 108035.
[2]
Alfaro-Algaba M, Ramirez F J. Techno-economic and environmental disassembly planning of lithium-ion electric vehicle battery packs for remanufacturing[J]. Resources, Conservation and Recycling, 2020, 154: 104461.
[3]
Smart Cities, Citizen Welfare, and the Implementation of Sustainable Development Goals[M]. IGI Global, 2021.
[4]
Cong, L., Zhou, K., Liu, W., and Li, R. (January 30, 2023). "Retired Lithium-Ion Battery Pack Disassembly Line Balancing Based on Precedence Graph Using a Hybrid Genetic-Firework Algorithm for Remanufacturing." ASME. J. Manuf. Sci. Eng. May 2023; 145(5): 051007.
[5]
Suresh V, Liu W, Zheng M, High-resolution structured light 3D vision for fine-scale characterization to assist robotic assembly[C]//Dimensional Optical Metrology and Inspection for Practical Applications X. SPIE, 2021, 11732: 1173203.
[6]
Liao H, Chen Y, Hu B, Optimization-Based Disassembly Sequence Planning Under Uncertainty for Human–Robot Collaboration[J]. Journal of Mechanical Design, 2023, 145(2): 022001.
[7]
Xu X, Hu W, Liu W, Study on the economic benefits of retired electric vehicle batteries participating in the electricity markets[J]. Journal of Cleaner Production, 2021, 286: 125414.
[8]
Gholami S, Harutyunyan H A. HUB-GA: A heuristic for universal lists broadcasting using genetic algorithm[J]. Journal of Communications and Networks, 2023, 25(1): 88-110.
[9]
Edis E B. Constraint programming approaches to disassembly line balancing problem with sequencing decisions[J]. Computers & Operations Research, 2021, 126: 105111.
[10]
Yu J, Zhang H, Jiang Z, Disassembly task planning for end-of-life automotive traction batteries based on ontology and partial destructive rules[J]. Journal of Manufacturing Systems, 2022, 62: 347-366.
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Published In
January 2024
506 pages
ISBN:9798400718199
DOI:10.1145/3653804
Copyright © 2024 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 01 June 2024
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- Research-article
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- Refereed limited
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- National Key R&D Program of China
Conference
CVDL 2024
CVDL 2024: The International Conference on Computer Vision and Deep Learning
January 19 - 21, 2024
Changsha, China
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