IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v226y2018icp277-286.html
   My bibliography  Save this article

Cost-effective supply chain for electric vehicle battery remanufacturing

Author

Listed:
  • Li, Lin
  • Dababneh, Fadwa
  • Zhao, Jing

Abstract

Large-scale adoption of electric vehicles can reap significant energy and environmental benefits while also reducing reliance on fossil fuels. Nonetheless, accompanying the benefits of electric vehicles, several economic and ecological challenges arise from the production of Lithium-ion batteries, which are currently the most popular type of batteries used in electric vehicles. Remanufacturing is a promising end-of-life strategy and can lead to more sustainable Lithium-ion battery supply chains to support large-scale adoption of electric vehicles. Several factors will dictate the feasibility and effectiveness of remanufacturing, including economic viability, production capability, and battery demand and supply. Unfortunately, while there exists significant research efforts on remanufacturing at the laboratory scale, there lacks research that investigates Lithium-ion battery remanufacturing at the enterprise scale. Motivated by this, in this paper, a state-of-the-art closed loop supply chain network model for Lithium-ion battery remanufacturing considering different quality levels of spent battery returns is proposed. An optimization model is developed to maximize the network profit and a sensitivity analysis is performed to determine the impact of several important model parameters on the profitability of the proposed supply chain network. A numerical case study is implemented which shows that 9.81–30.93% increase in profit can be achieved if remanufacturing is integrated in Lithium-ion battery supply chain networks. Moreover, the sensitivity analysis shows that careful implementation of the proposed algorithm coupled with understanding of battery parameters are the keys to implementing cost-effective electric vehicle Lithium-ion battery supply chains. In all, this research will help stimulate the implementation of remanufacturing, promote economically and environmentally sustainable supply chain management in the electric vehicle battery industry, and support the transportation sector in reducing environmental burdens.

Suggested Citation

  • Li, Lin & Dababneh, Fadwa & Zhao, Jing, 2018. "Cost-effective supply chain for electric vehicle battery remanufacturing," Applied Energy, Elsevier, vol. 226(C), pages 277-286.
  • Handle: RePEc:eee:appene:v:226:y:2018:i:c:p:277-286
    DOI: 10.1016/j.apenergy.2018.05.115
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918308353
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2018.05.115?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ke, Wenwei & Zhang, Shaojun & He, Xiaoyi & Wu, Ye & Hao, Jiming, 2017. "Well-to-wheels energy consumption and emissions of electric vehicles: Mid-term implications from real-world features and air pollution control progress," Applied Energy, Elsevier, vol. 188(C), pages 367-377.
    2. Björnsson, Lars-Henrik & Karlsson, Sten, 2015. "Plug-in hybrid electric vehicles: How individual movement patterns affect battery requirements, the potential to replace conventional fuels, and economic viability," Applied Energy, Elsevier, vol. 143(C), pages 336-347.
    3. Vikström, Hanna & Davidsson, Simon & Höök, Mikael, 2013. "Lithium availability and future production outlooks," Applied Energy, Elsevier, vol. 110(C), pages 252-266.
    4. Noori, Mehdi & Gardner, Stephanie & Tatari, Omer, 2015. "Electric vehicle cost, emissions, and water footprint in the United States: Development of a regional optimization model," Energy, Elsevier, vol. 89(C), pages 610-625.
    5. He, Xiaoyi & Wu, Ye & Zhang, Shaojun & Tamor, Michael A. & Wallington, Timothy J. & Shen, Wei & Han, Weijian & Fu, Lixin & Hao, Jiming, 2016. "Individual trip chain distributions for passenger cars: Implications for market acceptance of battery electric vehicles and energy consumption by plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 180(C), pages 650-660.
    6. Rangaraju, Surendraprabu & De Vroey, Laurent & Messagie, Maarten & Mertens, Jan & Van Mierlo, Joeri, 2015. "Impacts of electricity mix, charging profile, and driving behavior on the emissions performance of battery electric vehicles: A Belgian case study," Applied Energy, Elsevier, vol. 148(C), pages 496-505.
    7. Qiao, Qinyu & Zhao, Fuquan & Liu, Zongwei & Jiang, Shuhua & Hao, Han, 2017. "Cradle-to-gate greenhouse gas emissions of battery electric and internal combustion engine vehicles in China," Applied Energy, Elsevier, vol. 204(C), pages 1399-1411.
    8. Du, Jiuyu & Ouyang, Minggao & Chen, Jingfu, 2017. "Prospects for Chinese electric vehicle technologies in 2016–2020: Ambition and rationality," Energy, Elsevier, vol. 120(C), pages 584-596.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tu, Wei & Santi, Paolo & Zhao, Tianhong & He, Xiaoyi & Li, Qingquan & Dong, Lei & Wallington, Timothy J. & Ratti, Carlo, 2019. "Acceptability, energy consumption, and costs of electric vehicle for ride-hailing drivers in Beijing," Applied Energy, Elsevier, vol. 250(C), pages 147-160.
    2. Kalghatgi, Gautam, 2018. "Is it really the end of internal combustion engines and petroleum in transport?," Applied Energy, Elsevier, vol. 225(C), pages 965-974.
    3. Siqin Xiong & Junping Ji & Xiaoming Ma, 2019. "Comparative Life Cycle Energy and GHG Emission Analysis for BEVs and PhEVs: A Case Study in China," Energies, MDPI, vol. 12(5), pages 1-17, March.
    4. He, X. & Wang, F. & Wallington, T.J. & Shen, W. & Melaina, M.W. & Kim, H.C. & De Kleine, R. & Lin, T. & Zhang, S. & Keoleian, G.A. & Lu, X. & Wu, Y., 2021. "Well-to-wheels emissions, costs, and feedstock potentials for light-duty hydrogen fuel cell vehicles in China in 2017 and 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    5. Kain Glensor & María Rosa Muñoz B., 2019. "Life-Cycle Assessment of Brazilian Transport Biofuel and Electrification Pathways," Sustainability, MDPI, vol. 11(22), pages 1-31, November.
    6. Geng, Jingxuan & Gao, Suofen & Sun, Xin & Liu, Zongwei & Zhao, Fuquan & Hao, Han, 2022. "Potential of electric vehicle batteries second use in energy storage systems: The case of China," Energy, Elsevier, vol. 253(C).
    7. Khan, Muhammad Imran & Shahrestani, Mehdi & Hayat, Tasawar & Shakoor, Abdul & Vahdati, Maria, 2019. "Life cycle (well-to-wheel) energy and environmental assessment of natural gas as transportation fuel in Pakistan," Applied Energy, Elsevier, vol. 242(C), pages 1738-1752.
    8. Yuhua Zheng & Shiqi Li & Shuangshuang Xu, 2019. "Transport oil product consumption and GHG emission reduction potential in China: An electric vehicle-based scenario analysis," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-26, September.
    9. Zhao, Yinan & Wen, Yifan & Wang, Fang & Tu, Wei & Zhang, Shaojun & Wu, Ye & Hao, Jiming, 2023. "Feasibility, economic and carbon reduction benefits of ride-hailing vehicle electrification by coupling travel trajectory and charging infrastructure data," Applied Energy, Elsevier, vol. 342(C).
    10. Sun, Lishan & Wang, Shunchao & Liu, Shuli & Yao, Liya & Luo, Wei & Shukla, Ashish, 2018. "A completive research on the feasibility and adaptation of shared transportation in mega-cities – A case study in Beijing," Applied Energy, Elsevier, vol. 230(C), pages 1014-1033.
    11. Sodenkamp, Mariya & Wenig, Jürgen & Thiesse, Frédéric & Staake, Thorsten, 2019. "Who can drive electric? Segmentation of car drivers based on longitudinal GPS travel data," Energy Policy, Elsevier, vol. 130(C), pages 111-129.
    12. He, Liqiang & Hu, Jingnan & Zhang, Shaojun & Wu, Ye & Zhu, Rencheng & Zu, Lei & Bao, Xiaofeng & Lai, Yitu & Su, Sheng, 2018. "The impact from the direct injection and multi-port fuel injection technologies for gasoline vehicles on solid particle number and black carbon emissions," Applied Energy, Elsevier, vol. 226(C), pages 819-826.
    13. Ke, Wenwei & Zhang, Shaojun & He, Xiaoyi & Wu, Ye & Hao, Jiming, 2017. "Well-to-wheels energy consumption and emissions of electric vehicles: Mid-term implications from real-world features and air pollution control progress," Applied Energy, Elsevier, vol. 188(C), pages 367-377.
    14. Wang, Lei & Wang, Xiang & Yang, Wenxian, 2020. "Optimal design of electric vehicle battery recycling network – From the perspective of electric vehicle manufacturers," Applied Energy, Elsevier, vol. 275(C).
    15. Forrest, Kate & Mac Kinnon, Michael & Tarroja, Brian & Samuelsen, Scott, 2020. "Estimating the technical feasibility of fuel cell and battery electric vehicles for the medium and heavy duty sectors in California," Applied Energy, Elsevier, vol. 276(C).
    16. Tianduo Peng & Sheng Zhou & Zhiyi Yuan & Xunmin Ou, 2017. "Life Cycle Greenhouse Gas Analysis of Multiple Vehicle Fuel Pathways in China," Sustainability, MDPI, vol. 9(12), pages 1-24, November.
    17. Choi, Wonjae & Song, Han Ho, 2018. "Well-to-wheel greenhouse gas emissions of battery electric vehicles in countries dependent on the import of fuels through maritime transportation: A South Korean case study," Applied Energy, Elsevier, vol. 230(C), pages 135-147.
    18. Rachana Vidhi & Prasanna Shrivastava & Abhishek Parikh, 2021. "Social and Technological Impact of Businesses Surrounding Electric Vehicles," Clean Technol., MDPI, vol. 3(1), pages 1-17, February.
    19. Xiong, Siqin & Yuan, Yi & Yao, Jia & Bai, Bo & Ma, Xiaoming, 2023. "Exploring consumer preferences for electric vehicles based on the random coefficient logit model," Energy, Elsevier, vol. 263(PA).
    20. Wang, Jiajia & Yue, Xiyan & Wang, Peifen & Yu, Tao & Du, Xiao & Hao, Xiaogang & Abudula, Abuliti & Guan, Guoqing, 2022. "Electrochemical technologies for lithium recovery from liquid resources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:226:y:2018:i:c:p:277-286. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.