Research on Optimization of Power Battery Recycling Logistics Network

Authors

DOI:

https://doi.org/10.4108/ew.5790

Keywords:

power battery, recycling logistics, logistics network

Abstract

With the popularity and development of electric vehicles, the demand for power batteries has increased significantly. Power battery recycling requires a complex and efficient logistics network to ensure that used batteries can be safely and cost-effectively transported to recycling centers and properly processed. This paper constructs a dual-objective mathematical model that minimizes the number of recycling centers and minimizes the logistics cost from the service center to the recycling center, and designs the power battery disassembly and recycling process and the recycling logistics network, and finally uses a genetic algorithm to solve it. Finally, this article takes STZF Company as an example to verify the effectiveness of this method. The verification results show that the logistics intensity of the optimized power battery recycling logistics network has been reduced by 36.2%. The method proposed in this article can provide certain reference for power battery recycling logistics network planning.

Downloads

Download data is not yet available.

References

Liu YL, Yang PP, Ding XC. Central-regional industrial policy coordination and new energy vehicle industry development: based on the perspective of innovation ecosystem. Chinese soft science. 2023; 11: 38-53.

Rao WC, Chang Y, Liu P. C Research on collaborative recycling mode and operation method of new energy vehicle power battery. Chinese management science. 2023; 34: 114-135.

Moo CS, Jian JY, Wu TH, Yu LR. Battery power system with arrayed battery power modules. IEEE international conference on system science and engineering. 2013; 13: 437-441. DOI: https://doi.org/10.1109/ICSSE.2013.6614705

Monteiro V, Afonso JA, Afonso JL. Bidirectional power converters for ev battery chargers. Energies. 2023; 16(4): 1694. DOI: https://doi.org/10.3390/en16041694

Toro L, Moscardini E, Baldassari L, Forte F. A Systematic Review of Battery Recycling Technologies: Advances, Challenges, and Future Prospects. Energies. 2023; 11(18): 6571. DOI: https://doi.org/10.3390/en16186571

Zhao YL, Lu JS, Yan Q. Research on cell manufacturing facility layout problem based on improved NSGA-II. Computers, materials & continua. 2020; 62(1): Computers, Materials & Continua. DOI: https://doi.org/10.32604/cmc.2020.06396

Zhao YL. Manufacturing cell integrated layout method based on rns-foa algorithm in smart factory. Processes. 2023; 10: 1759. DOI: https://doi.org/10.3390/pr10091759

Desticioglu B, Calipinar H, Ozyoruk B, Koc E. Model for reverse logistic problem of recycling under stochastic demand. Sustainability. 2022; 14(8): 4640. DOI: https://doi.org/10.3390/su14084640

Gao ZH, Ye CY. Reverse logistics vehicle routing optimization problem based on multivehicle recycling. Mathematical problems in engineering. 2021; 2021: 23-46. DOI: https://doi.org/10.1155/2021/5559684

Pereira N, Antunes J, Barreto L. Impact of management and reverse logistics on recycling in a war scenario. Sustainability. 2023; 15(4): 3835. DOI: https://doi.org/10.3390/su15043835

Roudbari ES, Ghomi SMTF, Sajadieh MS. Reverse logistics network design for product reuse, remanufacturing, recycling and refurbishing under uncertainty. Journal of manufacturing systems. 2021; 60: 473-486. DOI: https://doi.org/10.1016/j.jmsy.2021.06.012

Singh M, Jauhar SK, Pant M, Paul SK. Modeling third-party reverse logistics for healthcare waste recycling in the post-pandemic era. International journal of production research. 2023; 26(1): 125-138. DOI: https://doi.org/10.1080/00207543.2023.2269584

Gemechu A, Abebe A, Anna D. Role of reverse logistics activities in the recycling of used plastic bottled water waste management. Sustainability. 2022; 14(13): 7650. DOI: https://doi.org/10.3390/su14137650

Chen ZY, Lu JH, Yang Y, Xiong R. Online estimation of state of power for lithium-ion battery considering the battery aging. Chinese automation congress. 2017; 269(185): 3112-3116. DOI: https://doi.org/10.1109/CAC.2017.8243310

Lamsal D, Sreeram V, Mishra Y, Kumarv D. Achieving a minimum power fluctuation rate in wind and photovoltaic output power using discrete kalman filter based on weighted average approach. IET renewable power generation. 2018; 12(6): 633-638. DOI: https://doi.org/10.1049/iet-rpg.2017.0346

Downloads

Published

15-04-2024

How to Cite

1.
Zhao Y, Wu Y. Research on Optimization of Power Battery Recycling Logistics Network. EAI Endorsed Trans Energy Web [Internet]. 2024 Apr. 15 [cited 2024 May 4];11. Available from: https://publications.eai.eu/index.php/ew/article/view/5790

Funding data