Monetizing Shared EV Fleets Through Demand Charge Reduction Services

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Authors: Ge Chen, Junjie Qin
Cited by: 0
References: 27

Abstract

The widespread adoption of electric vehicles (EVs) is hindered by their high acquisition cost and low asset utilization. To address this, this paper proposes a novel vehicle-to-building (V2B) business model to monetize idle, shared EV fleets. In this model, a lightweight coordination platform enables a shared fleet of EVs to sequentially serve peak-shaving requests from multiple commercial and industrial (C&I) users, generating revenue by reducing their costly demand charges. This business model is built upon three core components. First, the shared-use business architecture itself dramatically increases asset utilization. Second, a privacy-by-design, threshold-based mechanism empowers users to autonomously generate requests without sharing sensitive data. Third, a provably optimal and scalable matching algorithm, based on an exact time-decoupled reformulation, ensures efficient, real-time dispatch. Extensive simulations using real-world data from San Francisco buildings validate this model’s powerful win-win proposition: C&I users achieve substantial monthly savings, while EV owners can earn a lucrative passive income stream that exceeds typical ride-hailing earnings, thereby strengthening the economic case for transportation electrification.

Fields of Study & Subjects

Electric Vehicles and Infrastructure Smart Grid Energy Management Transportation and Mobility Innovations

Publication details

Journal / source
IEEE Transactions on Transportation Electrification
Volume
12
Issue
4
Pages
5602–5616
Publication date
16 March 2026
Language
EN