Power Battery Recycling Path Planning Considering Risk and Priority Scheduling

Chuanwen Tong; Shan Xiong

doi:10.6919/ICJE.202603_12(3).0002

Authors

Chuanwen Tong
Shan Xiong

DOI:

https://doi.org/10.6919/ICJE.202603_12(3).0002

Keywords:

Power Vehicle; Reverse Logistics; Route Optimisation; Priority.

Abstract

As power batteries from new energy vehicles reach retirement, the need for efficient and safe recycling is becoming urgent. Existing studies often focus on cost and transport efficiency, while risks such as leakage and explosion, and inefficiencies from small-scale, fragmented collections, are overlooked. This study proposes a priority-based scheduling strategy that classifies recycling tasks into emergency and normal levels based on inventory thresholds and storage duration. A mixed-integer programming model is developed, integrating constraints like minimum load limits and urban traffic peaks. The model is validated in five simulated scenarios. Results show a 100% task completion rate and vehicle load factors ranging from 92.4% to 97.9%. In emergency-heavy cases, the priority mechanism improves efficiency significantly. These findings highlight the model’s role in enhancing reliability and mitigating risk, offering useful insights for optimizing battery recycling and guiding hazardous waste transport policy.

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