SHA Ling, WANG Jing, ZHANG Haifeng, WANG Dai. Quantification Analysis of Shared Battery Swap Station Value Based on Simulation Methods[J]. Journal of Beijing University of Technology, 2025, 51(1): 22-31. DOI: 10.11936/bjutxb2024050014
    Citation: SHA Ling, WANG Jing, ZHANG Haifeng, WANG Dai. Quantification Analysis of Shared Battery Swap Station Value Based on Simulation Methods[J]. Journal of Beijing University of Technology, 2025, 51(1): 22-31. DOI: 10.11936/bjutxb2024050014

    Quantification Analysis of Shared Battery Swap Station Value Based on Simulation Methods

    • Compared to electric vehicle charging stations, battery swapping stations have advantages such as shorter energy replenishment time and smaller spatial area. Multi-brand electric vehicle high-efficiency shared battery swapping stations can optimize the energy replenishment structure to a great extent and reduce resource waste. To quantify the value of shared battery swapping stations for electric vehicle users, based on queue theory and using the operating data of NIO car brand, a simulator was developed to simulate user's battery swapping behavior and quantify the average queuing time and the number of battery swapping stations, to evaluate the battery swapping experience of electric vehicle users under different scales of electric vehicles and penetration rates of battery swapping stations. Results show that sharing battery swapping station resources among different electric vehicle brands can significantly reduce the queuing time of electric vehicle users and the number of battery swapping stations needed to keep the queuing time within the expected threshold, thereby improving the user's charging experience and reducing the construction cost of battery swapping stations.
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