Research on Dual-Mode Parallel Mechanism for New Energy Vehicle Battery Recycling Based on Evolutionary Game Theory

The rapid development of the new energy vehicle (NEV) industry has brought about the challenge of power battery recycling, which has become a key issue for the industry's sustainable development. This paper applies evolutionary game theory to establish a dynamic game model involving the government, manufacturers, and consumers, and proposes an incentive mechanism combining deposit and credit schemes. By simulating different scenarios, the study explores the interaction between policies and behaviors. The results indicate that dynamic balanced regulation is essential for the stability of the recycling system; the complementarity between deposit and credit schemes can resolve conflicts between short-term and long-term interests; and consumer behavior is influenced by net recycling benefits, which requires guidance through incentives and constraints to promote participation in formal recycling. The simulation results show that under high incentives and moderate regulation, the system tends toward a balanced state between environmental and economic benefits. This study provides theoretical support for power battery recycling and offers practical references for policy optimization and supply chain governance.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-04-07
DOI
https://doi.org/10.54254/2755-2721/2025.21886
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
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article

Research on Dual-Mode Parallel Mechanism for New Energy Vehicle Battery Recycling Based on Evolutionary Game Theory

Aimin Liu
1 links
Applied and Computational Engineering
Power Systems and Technologies
article

Research on Dual-Mode Parallel Mechanism for New Energy Vehicle Battery Recycling Based on Evolutionary Game Theory

Aimin Liu
article en

Abstract

The rapid development of the new energy vehicle (NEV) industry has brought about the challenge of power battery recycling, which has become a key issue for the industry's sustainable development. This paper applies evolutionary game theory to establish a dynamic game model involving the government, manufacturers, and consumers, and proposes an incentive mechanism combining deposit and credit schemes. By simulating different scenarios, the study explores the interaction between policies and behaviors. The results indicate that dynamic balanced regulation is essential for the stability of the recycling system; the complementarity between deposit and credit schemes can resolve conflicts between short-term and long-term interests; and consumer behavior is influenced by net recycling benefits, which requires guidance through incentives and constraints to promote participation in formal recycling. The simulation results show that under high incentives and moderate regulation, the system tends toward a balanced state between environmental and economic benefits. This study provides theoretical support for power battery recycling and offers practical references for policy optimization and supply chain governance.

Applied and Computational EngineeringVol. 141(1)
Jiangnan University (CN)
Openalex Percentile: Top 95%
Power Systems and Technologies
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