A recycling mechanism for used electric vehicle batteries by integrating affine maximizer auction and fuzzy axiomatic design method

Jianghong Feng and Feng Chen

Energy, 2025, vol. 334, issue C

Abstract: Given that the various attributes of retired electric vehicle batteries play a critical role in determining their recycling value, this paper aims to construct a multi-attribute auction mechanism for retired electric vehicle batteries based on fuzzy axiomatic design. The proposed method in this paper, through a phased design, effectively optimizes resource allocation efficiency and transaction matching accuracy. Considering a transaction market composed of one buyer, one auctioneer, and multiple sellers, this paper proposes a two-stage auction method based on multi-attributes. In the first stage, the fuzzy axiom design method is applied to calculate the sellers' information content regarding the attributes of retired electric vehicle batteries and constructs a linear mathematical model to minimize the sellers' information content. Additionally, the study introduces a control parameter to the model to regulate the number of sellers participating in the auction. Sellers who are successfully matched in the first stage will proceed to the second stage, which uses an affine maximizer auction method to determine the winning bidder and the amount each winning seller should receive. In our auction, weighting coefficients are introduced to capture the degree of matching between sellers' retired battery attributes and buyers’ functional requirements for battery attributes. Finally, a series of numerical experiments were carried out to validate the effectiveness of the proposed method, as outlined in this paper. A sensitivity analysis shows that the control parameter, the weighting coefficients, and the attribute weights have a significant influence on the outcomes of the auction. Notably, this paper provides management insights for applying this method to the battery recycling market management, derived from the theoretical experience of this paper, which is expected to contribute to electric vehicle battery recycling.

Keywords: Multi-attribute auction; Electric vehicle; Battery recycling; Fuzzy axiomatic design; Mechanism design; Incentive compatibility (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:334:y:2025:i:c:s0360544225034644

DOI: 10.1016/j.energy.2025.137822

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