Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

Research Article

Economic Research on Passenger Vehicle Battery Rental Mode Based on System Dynamics Model

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  • @INPROCEEDINGS{10.4108/eai.27-10-2023.2341956,
        author={Zelei  Jiang and Puchao  Li and Huanhuan  Ren and Bin  Xu and Wei  Peng},
        title={Economic Research on Passenger Vehicle Battery Rental Mode Based on System Dynamics Model},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China},
        publisher={EAI},
        proceedings_a={ICEMBDA},
        year={2024},
        month={1},
        keywords={battery rental system dynamics new energy vehicles (nevs) tco},
        doi={10.4108/eai.27-10-2023.2341956}
    }
    
  • Zelei Jiang
    Puchao Li
    Huanhuan Ren
    Bin Xu
    Wei Peng
    Year: 2024
    Economic Research on Passenger Vehicle Battery Rental Mode Based on System Dynamics Model
    ICEMBDA
    EAI
    DOI: 10.4108/eai.27-10-2023.2341956
Zelei Jiang1,*, Puchao Li1, Huanhuan Ren1, Bin Xu1, Wei Peng2
  • 1: Automotive Data of China Co., Ltd.
  • 2: Tongji University
*Contact email: jiangzelei@catarc.ac.cn

Abstract

In recent years, the new energy vehicle market has been developing rapidly, in order to further increase the competitiveness of new energy vehicle market, effectively reduce the risk of users and the initial purchase cost, many car companies have launched the battery rental mode of vehicle purchase. Currently, the physical non-interchangeable passenger car occupies a large market share in the battery rental mode, so this paper focuses on the economics of the physical non-interchangeable passenger car in the battery rental mode. From the perspective of consumer cost of ownership, the total cost of ownership (TCO) method is utilized to compare the three options of purchasing a fuel vehicle, purchasing a new energy vehicle as a whole, and purchasing a new energy vehicle in the battery leasing mode, and to obtain the optimal rental pricing range that is a win-win situation for both consumers and battery operators. From the perspective of profitability of battery operators, we establish economic indicators of income and assets, and comprehensively evaluate the economic impacts of rental pricing, residual value of batteries, body scrap ratio, and the ratio of sales volume and model selection.