摘要
新能源汽车发展方兴未艾,动力电池的数量与日俱增。因其使用寿命的限制,且自身存在一定回收价值,需对退役动力电池进行回收。考虑到废旧动力电池的回收数量,回收价格和回收质量存在不确定性,建立以网络成本最小化和碳排放最小化为目标的混合整数规划模型,并利用模糊机会约束规划模型处理不确定变量。在获得相关数据后,用算例进行验证,通过迭代局部搜索算法进行求解,得到动力电池回收网络设施选址方案。
The development of new energy vehicles is booming,and the number of power batteries is increasing day by day.Due to the limitation of their service life and the existence of certain recycling value,retired power batteries need to be recycled.Considering the uncertainties in the recycling quantity,recycling price and recycling quality of used power batteries,a mixed-integer planning model is established with the objectives of network cost minimization and carbon emission minimization,and a fuzzy chance-constrained planning model is used to deal with the uncertain variables.After obtaining the relevant data,it is verified with an arithmetic example and solved by an iterative local search algorithm to obtain the siting scheme of power battery recycling network facilities.
作者
王程
Wang Cheng(School of Management,Shanghai University,Shanghai,China)
出处
《科学技术创新》
2024年第5期210-214,共5页
Scientific and Technological Innovation
关键词
动力电池
回收网络
不确定性
power battery
recycling networks
uncertainty
