{"title":"Policy optimization and practical applications in blockchain-enabled electric vehicle battery recycling system","authors":"Zhuoqun Li , Jinsong Wei","doi":"10.1016/j.cie.2025.111119","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111119"},"PeriodicalIF":6.7000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Industrial Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360835225002657","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
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.
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.