动力电池逆向物流网络两阶段鲁棒优化研究
Research on Two-Stage Robust Optimization of Reverse Logistics Network for Power Batteries
摘要: 国内动力电池即将迎来报废高峰期，但目前废旧动力电池回收网络尚未完善，对此有必要为其建立高效的逆向物流回收网络以提高回收效率和经济效益。此外存在许多缺乏专业回收能力的非正式组织，导致网络中废旧动力电池回收量具有不确定性。因此考虑各类动力电池回收量不确定性影响，以建设成本和运输成本最小为目标建立了逆向物流两阶段鲁棒优化模型。之后采用C&CG算法进行求解，通过随机规模算例结果验证了模型和方法有效性，为建立废旧动力电池回收网络提供了参考。
Abstract: The domestic power battery sector is approaching a peak in scrap disposal; however, the current recycling network for used batteries is not yet well-established. It is essential to create an efficient reverse logistics recycling network to enhance recovery efficiency and economic benefits. Additionally, many informal organizations lack specialized recycling capabilities, leading to uncertainty in the quantity of used power batteries recovered in the network. Therefore, considering the uncertainty in the recovery volume of various types of power batteries, a two-stage robust optimization model for reverse logistics has been developed, aiming to minimize construction and transportation costs. The C&CG algorithm was subsequently employed for solution, and results from randomly scaled examples validated the model and methodology, providing a reference for establishing a recycling network for used power batteries.
文章引用：胡立沛, 贾永基. 动力电池逆向物流网络两阶段鲁棒优化研究[J]. 管理科学与工程, 2025, 14(1): 308-323. https://doi.org/10.12677/mse.2025.141031

参考文献

[1] 黎华玲, 丁志英, 梁昌铖, 等. 废旧磷酸铁锂动力电池正极材料回收再生方法分析[J]. 科技资讯, 2021, 19(29): 69-71.
[2] 高艳红, 黎振东. 考虑非正式组织的动力电池生产者责任延伸回收模式研究[J]. 管理评论, 2024, 36(3): 225-236.
[3] 郝硕硕, 董庆银, 李金惠. 基于成本核算的废旧动力电池回收模式分析与趋势研究[J]. 中国环境科学, 2021, 41(10): 4745-4755.
[4] 姚海琳, 王昶, 黄健柏. EPR下我国新能源汽车动力电池回收利用模式研究[J]. 科技管理研究, 2015, 35(18): 84-89.
[5] 徐亦扬, 马宁, 冯宇, 等. 基于EPR制度的废旧动力电池问题探析[J]. 中国储运, 2023(10): 199-200.
[6] 王琨强, 周玲, 彭琦, 等. 退役锂离子动力电池梯次利用回收技术综述[J]. 电子质量, 2023(6): 109-113.
[7] Wang, T., Liu, T. and Sun, H. (2023) Direct Recycling for Advancing Sustainable Battery Solutions. Materials Today Energy, 38, Article 101434. [Google Scholar] [CrossRef] 
[8] Tao, Y., Wang, Z., Wu, B., Tang, Y. and Evans, S. (2023) Environmental Life Cycle Assessment of Recycling Technologies for Ternary Lithium-Ion Batteries. Journal of Cleaner Production, 389, Article 136008. [Google Scholar] [CrossRef] 
[9] Rosenberg, S., Glöser-Chahoud, S., Huster, S. and Schultmann, F. (2023) A Dynamic Network Design Model with Capacity Expansions for EOL Traction Battery Recycling—A Case Study of an OEM in Germany. Waste Management, 160, 12-22. [Google Scholar] [CrossRef] [PubMed]
[10] Wang, L., Wang, X. and Yang, W. (2020) Optimal Design of Electric Vehicle Battery Recycling Network—From the Perspective of Electric Vehicle Manufacturers. Applied Energy, 275, Article 115328. [Google Scholar] [CrossRef] 
[11] Lin, J., Li, X., Zhao, Y., Chen, W. and Wang, M. (2023) Design a Reverse Logistics Network for End-of-Life Power Batteries: A Case Study of Chengdu in China. Sustainable Cities and Society, 98, Article 104807. [Google Scholar] [CrossRef] 
[12] 刘娟娟, 郭炎可. 考虑不确定性的电动汽车动力电池逆向物流网络设计[J]. 上海海事大学学报, 2021, 42(2): 96-102.
[13] Wang, C., Feng, X., Woo, S., Wood, J. and Yu, S. (2023) The Optimization of an EV Decommissioned Battery Recycling Network: A Third-Party Approach. Journal of Environmental Management, 348, Article 119299. [Google Scholar] [CrossRef] [PubMed]
[14] Mu, N., Wang, Y., Chen, Z., Xin, P., Deveci, M. and Pedrycz, W. (2023) Multi-Objective Combinatorial Optimization Analysis of the Recycling of Retired New Energy Electric Vehicle Power Batteries in a Sustainable Dynamic Reverse Logistics Network. Environmental Science and Pollution Research, 30, 47580-47601. [Google Scholar] [CrossRef] [PubMed]
[15] Zeng, B. and Zhao, L. (2013) Solving Two-Stage Robust Optimization Problems Using a Column-and-Constraint Generation Method. Operations Research Letters, 41, 457-461. [Google Scholar] [CrossRef] 

为你推荐