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Capacity configuration approach for battery swapping station: A staged programming model via double-end non-segmented-driven strategy

Author

Listed:
  • Lu, Yanming
  • Yang, Nan
  • Liu, Zhigang
  • Zhang, Qiao
  • Lu, Bing
  • Liang, Pengcheng
  • Dai, Zhou

Abstract

In the realm of electric vehicles (EVs), the unreasonable inventory under the battery-swapping mode may severely compromise the operational profitability of the battery swapping station (BSS). In light of this, this work presents a novel capacity configuration model for BSS, designed to strike a trade-off between the investment cost of battery inventory and the charging cost for depleted batteries (DBs). First, a staged programming model is constructed, wherein the planning stage minimizes the total costs based on the life cycle cost (LCC), while the operation stage focuses on reducing charging costs by leveraging a double-end non-segmented-driven strategy (DNSDS). Following this, the demand for EV battery swapping is simulated using scenario generation and reduction technology. On this basis, a tailored algorithm is employed to solve the model. The simulation results validate the effectiveness of our proposed method, showcasing its potential in optimizing battery inventory management and reducing charging costs for BSS.

Suggested Citation

  • Lu, Yanming & Yang, Nan & Liu, Zhigang & Zhang, Qiao & Lu, Bing & Liang, Pengcheng & Dai, Zhou, 2025. "Capacity configuration approach for battery swapping station: A staged programming model via double-end non-segmented-driven strategy," Renewable Energy, Elsevier, vol. 244(C).
    • Handle: RePEc:eee:renene:v:244:y:2025:i:c:s0960148125004094
    DOI: 10.1016/j.renene.2025.122747
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