{"ID":2822912,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2601.01581","arxiv_id":"2601.01581","title":"CONSENT: A Negotiation Framework for Leveraging User Flexibility in Vehicle-to-Building Charging under Uncertainty","abstract":"The growth of Electric Vehicles (EVs) creates a conflict in vehicle-to-building (V2B) settings between building operators, who face high energy costs from uncoordinated charging, and drivers, who prioritize convenience and a full charge. To resolve this, we propose a negotiation-based framework that, by design, guarantees voluntary participation, strategy-proofness, and budget feasibility. It transforms EV charging into a strategic resource by offering drivers a range of incentive-backed options for modest flexibility in their departure time or requested state of charge (SoC). Our framework is calibrated with user survey data and validated using real operational data from a commercial building and an EV manufacturer. Simulations show that our negotiation protocol creates a mutually beneficial outcome: lowering the building operator's costs by over 3.5\\% compared to an optimized, non-negotiating smart charging policy, while simultaneously reducing user charging expenses by 22\\% below the utility's retail energy rate. By aligning operator and EV user objectives, our framework provides a strategic bridge between energy and mobility systems, transforming EV charging from a source of operational friction into a platform for collaboration and shared savings.","short_abstract":"The growth of Electric Vehicles (EVs) creates a conflict in vehicle-to-building (V2B) settings between building operators, who face high energy costs from uncoordinated charging, and drivers, who prioritize convenience and a full charge. To resolve this, we propose a negotiation-based framework that, by design, guarant...","url_abs":"https://arxiv.org/abs/2601.01581","url_pdf":"https://arxiv.org/pdf/2601.01581v3","authors":"[\"Rishav Sen\",\"Fangqi Liu\",\"Jose Paolo Talusan\",\"Ava Pettet\",\"Yoshinori Suzue\",\"Mark Bailey\",\"Ayan Mukhopadhyay\",\"Abhishek Dubey\"]","published":"2026-01-04T15:59:52Z","proceeding":"cs.MA","tasks":"[\"cs.MA\",\"cs.AI\",\"cs.GT\",\"eess.SY\"]","methods":"[]","has_code":false}