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Reverse Logistics Ev Battery Recycling Agent Base Model

Abstract

This represents the initial regional tier of the electric vehicle (EV) battery recycling agent base model. Through this model, we can ascertain the number of EV purchases at both the state and regional levels. We employ census data to develop a diverse household profile to inform decisions regarding the acquisition of new or used EVs. The number of EV purchases at the state level will affect the future demand for recycling, reuse, and repurposing of end-of-life EV batteries. Additionally, tax credits, EV rebate programs, and the financial capacity of households will influence the number of EV purchases, thereby further impacting the demand for EV battery recycling.

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BibTeXRIS

Alam, Lamia [Idaho National Laboratory (INL), Idaho Falls, ID (United States)], Lee, Yuan-Yuan [Idaho National Laboratory (INL), Idaho Falls, ID (United States)] (0000000330905794), Paudel, Rajiv [Idaho National Laboratory (INL), Idaho Falls, ID (United States)] (0000000232034534), Srinivas, Srikar [Idaho National Laboratory (INL), Idaho Falls, ID (United States)] (0009000408820203), Nguyen, "Ruby"Thuy Thi Hong [Idaho National Laboratory (INL), Idaho Falls, ID (United States)] (0000000257915004). 2026-01-13. Reverse Logistics Ev Battery Recycling Agent Base Model. https://doi.org/10.11578/dc.20260827.1

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