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Reviewing the Cost–Benefit Analysis and Multi-Criteria Decision-Making Methods for Evaluating the Effectiveness of Lithium-Ion Batteries in Electric Vehicles

Author

Listed:
  • Danijela Barić

    (Faculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva 4, 10000 Zagreb, Croatia)

  • Silvestar Grabušić

    (Faculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva 4, 10000 Zagreb, Croatia)

  • Martina Jakara

    (Faculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva 4, 10000 Zagreb, Croatia)

  • Marko Emanović

    (Center for Vehicles of Croatia, Capraška 6, 10000 Zagreb, Croatia)

Abstract

Lithium-ion batteries (LIBs) have a wide range of applications in different fields, starting with electronics and energy storage systems. The potential of LIBs in the transportation sector is high, especially for electric vehicles (EVs). This study aims to investigate the efficiency and effectiveness of, and justification for, the application of LIBs in the field of transport, primarily in EVs. The research focuses on single and multi-criteria evaluations of the efficiency of LIBs. Previous studies in which LIBs were evaluated using cost–benefit analysis (CBA) and multi-criteria decision-making methods (MCDM) were analysed. An electronic literature search of the Web of Science, Scopus, and other relevant databases was performed. The literature was searched using the keywords: “lithium-ion batteries”; “multi-criteria decision-making”; “cost-benefit analysis”; “energy storage”; “vehicles”; “PROMETHEE” (or other MCDM method)”. A total of 40 scientific articles concerning the application of CBA (of which are 20%) and MCDM methods between 1997 and 2023, worldwide, were analysed. The results show multiple applications of both CBA and MCDM methods. The main findings of the areas of application were summarised and future research was discussed.

Suggested Citation

  • Danijela Barić & Silvestar Grabušić & Martina Jakara & Marko Emanović, 2023. "Reviewing the Cost–Benefit Analysis and Multi-Criteria Decision-Making Methods for Evaluating the Effectiveness of Lithium-Ion Batteries in Electric Vehicles," Sustainability, MDPI, vol. 16(1), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:233-:d:1308092
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    References listed on IDEAS

    as
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    2. Hui Zhao & Jing Gao & Xian Cheng, 2023. "Electric Vehicle Solar Charging Station Siting Study Based on GIS and Multi-Criteria Decision-Making: A Case Study of China," Sustainability, MDPI, vol. 15(14), pages 1-23, July.
    3. Kostiantyn Turcheniuk & Dmitry Bondarev & Vinod Singhal & Gleb Yushin, 2018. "Ten years left to redesign lithium-ion batteries," Nature, Nature, vol. 559(7715), pages 467-470, July.
    4. Nan Li & Haining Zhang & Xiangcheng Zhang & Xue Ma & Sen Guo, 2020. "How to Select the Optimal Electrochemical Energy Storage Planning Program? A Hybrid MCDM Method," Energies, MDPI, vol. 13(4), pages 1-20, February.
    5. Gavin Harper & Roberto Sommerville & Emma Kendrick & Laura Driscoll & Peter Slater & Rustam Stolkin & Allan Walton & Paul Christensen & Oliver Heidrich & Simon Lambert & Andrew Abbott & Karl Ryder & L, 2019. "Recycling lithium-ion batteries from electric vehicles," Nature, Nature, vol. 575(7781), pages 75-86, November.
    6. Bingxiang Sun & Xitian He & Weige Zhang & Yangxi Li & Minming Gong & Yang Yang & Xiaojia Su & Zhenlin Zhu & Wenzhong Gao, 2020. "Control Strategies and Economic Analysis of an LTO Battery Energy Storage System for AGC Ancillary Service," Energies, MDPI, vol. 13(2), pages 1-16, January.
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