Policy optimization and practical applications in blockchain-enabled electric vehicle battery recycling system

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Zhuoqun Li , Jinsong Wei
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引用次数: 0

Abstract

The rapid growth of the electric vehicle (EV) market underscores the urgent need for efficient battery recycling systems. Existing systems face challenges such as information asymmetry, operational inefficiencies, and environmental risks from improper disposal. This study first optimizes policy strategies using an evolutionary game-theoretic model to analyze key stakeholder interactions, then proposes a blockchain-based traceability system that enhances transparency, security, and efficiency throughout the EV battery lifecycle. Simulation results demonstrate that effective incentives and regulatory frameworks significantly improve system performance, providing a solid foundation for policy development. This research highlights blockchain’s potential to advance sustainability, support net-zero goals, and promote a circular economy in the EV industry.
基于区块链的电动汽车电池回收系统的政策优化与实际应用
电动汽车(EV)市场的快速增长凸显了对高效电池回收系统的迫切需求。现有系统面临着信息不对称、操作效率低下以及处置不当带来的环境风险等挑战。本研究首先使用进化博弈论模型优化政策策略,分析关键利益相关者的互动,然后提出基于区块链的可追溯系统,提高整个电动汽车电池生命周期的透明度、安全性和效率。模拟结果表明,有效的激励和监管框架显著提高了系统性能,为政策制定提供了坚实的基础。这项研究强调了区块链在促进可持续性、支持净零目标和促进电动汽车行业循环经济方面的潜力。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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