報告題目：Managing Hybrid Chargers in EV Stations: Pricing by kWh or Time?
報告人：唐潤宇 副教授
邀請人：程春 教授
報告時間及地點：2025年11月28日15:30—17:30 經(jīng)濟管理學院B312
報告內(nèi)容摘要：：
Recent years have witnessed rapid advancements in electric vehicles (EVs). To meet diverse market demands, charging stations often adopt a hybrid mode, consisting of both fast and slow charging options, supported by various pricing schemes. This paper examines the effects of two prevalent pricing methods---per-kWh and time-based pricing on customer behavior and the implications for community-level charging stations. Our analysis employs a fluid approximation to model the complex stochastic model, incorporating customer choice strategies and “block and switch” behaviors. We find that in the short term, with a fixed number of charging piles, the time-based pricing scheme may be more profitable than the per-kWh scheme when the disparity in charging speeds between fast and slow chargers is non-extreme. However, in the long term, when the charging station can adjust the number of charging piles, per-kWh pricing consistently outperforms time-based pricing, achieving significant improvements in profit, consumer surplus, and system throughput, leading to a win-win-win situation. Nonetheless, when considering customers driving EVs that are restricted to slow charging, time-based pricing may be preferable in the long term. We also validate the robustness of our main findings in stochastic scenarios through matrix numerical methods. Our study offers key insights into the optimal pricing scheme selection across different operational phases. In the long term, when EVs are largely uniform, adopting per-kWh pricing scheme is always optimal for all stakeholders. Conversely, when there is significant diversity in vehicle types, opting for time-based pricing can be more beneficial.
報告人簡介：：
唐潤宇，西安交通大學管理學院副教授，博士畢業(yè)于清華大學經(jīng)濟管理學院。主要研究方向為智慧城市運營管理，動態(tài)機制設(shè)計等。研究成果發(fā)表于OR, MSOM, POM，管理世界等國內(nèi)外期刊。
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