不确定环境下多周期动力电池回收网络优化

Optimization of Multi-Cycle Power Battery Recycling Network under Uncertain Environment

摘要: “双碳”背景下，动力电池的产销量随着新能源汽车的发展呈快速增长的趋势。由于动力电池退役时仍然有能量剩余，所以梯次利用是针对废旧电池回收再利用的有效措施。而对考虑梯次利用的动力电池逆向物流回收网络进行规划，是提高动力电池回收效率，缓解资源和环境压力的有效方法。本文考虑动力电池回收量与梯次利用市场需求量的不确定性，建立总成本最小的多周期动力电池回收网络的鲁棒优化模型，并构造了测试算例对模型进行求解，并对鲁棒控制参数进行灵敏度分析。

Abstract: Under the background of “dual carbon”, the amount of power battery is showing a rapid growth trend with the development of new energy vehicles. Since there is still energy left when power battery is retired, cascade utilization is an effective measure for the recycling and reuse of waste batteries. Planning a reverse logistics recycling network for power battery that takes cascade utilization into consideration is an effective way to improve the efficiency of power battery recycling and alleviate resource and environmental pressures. This paper considers the uncertainty of the amount of power battery recycling and the market demand for cascade utilization, establishes a robust optimization model for a multi-period power battery recycling network with the minimum total cost, constructs a test example to solve the model and performs sensitivity analysis on the robust control parameters.