自动化码头AGV电池备件与充电机配置联合决策  

Joint decision-making of AGV battery spare parts and charger configuration in automated terminal

作　　者：王孟雅 李雨青 李林蔓 吴伟[1] 潘尔顺[1] 刘冉[1] WANG Mengya;LI Yuqing;LI Linman;WU Wei;PAN Ershun;LIU Ran(School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]上海交通大学机械与动力工程学院,上海200240

出　　处：《系统工程与电子技术》2023年第4期1072-1081,共10页Systems Engineering and Electronics

基　　金：国家自然科学基金(72071127)资助课题。

摘　　要：以自动化集装箱码头换电式自动导引车(automated guided vehicle,AGV)电池换电系统为研究对象,采用双有限源封闭循环描述AGV电池换电队列与充电队列,以满足一定工作水平下的总成本最低为目标,基于马尔可夫过程建立电池备件和充电机配置联合优化模型。通过遗传算法求解,得到最优电池备件数与充电机数量。研究结果表明,电池备件数或充电机数过少时,将产生高额的惩罚成本与利润损失。相较于传统的用一备一策略,采取最优策略使得运营总成本显著降低。Taking the battery swapping system of the automated guided vehicle(AGV)in automated container terminal as the research object,the double finite source closed cycle is used to describe the AGV battery swapping queue and the charging queue.To minimize the total cost under a certain working level,a joint optimization model of battery spare parts and charger configuration is established based on the Markov process.The optimal number of battery spare parts and charging devices can be obtained by the genetic algorithm.The results show that when the number of battery spare parts or charging devices is too small,the penalty cost and profit loss will be high.Compared with the traditional one spare part for one device strategy,the optimal strategy can significantly reduce the total operating cost.

关 键 词：自动化集装箱码头 自动导引车 换电 电池备件 充电机配置 

分 类 号：O224[理学—运筹学与控制论]