Taking the intelligent assembly workshop of new energy battery pack as the background,the influence of the quantity and carrying capacity of automated guided vehicle（AGV）on the production line was studied.The characteristics of the intelligent assembly workshop were analyzed,AGV response rules based on the distribution of the whole package of materials were designed;the AGV logistics simulation model for actual production scenarios was established by using SIMIO software;taking the actual production data of the enterprises intelligent workshop as an example,combining statistical methods,ANOVA and sensitivity analysis were used to optimize the quantity and carrying capacity of AGV;49 groups of full-factor experiment were carried out.The results show that the number of AGV has a statistically significant impact on the equipment utilization rate,the average utilization rate of AGV and the total length of AGV travel routes;the optimal AGV configuration scheme is obtained based on the response optimization method,which provides reference for enterprises to configure AGV.