报告题目：Managing Hybrid Chargers in EV Stations: Pricing by kWh or Time?
报告人：唐润宇 副教授
邀请人：程春 教授
报告时间及地点：2025年11月28日15:30—17:30 经济管理学院B312
报告内容摘要：：
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.
报告人简介：：
唐润宇，西安交通大学管理学院副教授，博士毕业于清华大学经济管理学院。主要研究方向为智慧城市运营管理，动态机制设计等。研究成果发表于OR, MSOM, POM，管理世界等国内外期刊。
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