动力锂电池模组多工位多电性能参数测试调度方法研究  

Research on multi station and multi electric performance parameter test scheduling method of power lithium battery module

作　　者：蔡家富 刘桂雄[1] CAI Jiafu;LIU Guixiong(School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,China)

机构地区：[1]华南理工大学机械与汽车工程学院,广东广州510640

出　　处：《中国测试》2022年第1期9-13,共5页China Measurement & Test

基　　金：广东省重点领域研发计划项目(2019B090908003)。

摘　　要：针对多组动力锂电池多电性能参数测试过程存在测试通道闲置,整体测试时间较长、测试效率低的问题,研究动力锂电池模组多工位测试系统,并提出动力锂电池模组多工位多电性能参数任务调度方法。通过对电性能参数测试任务进行拆分并构建任务单元测试路径集,基于测试路径集求解任务调度总时间;基于蚁群算法(ant colony algorithm,ACA)对测试任务单元进行调度,求解最优任务测试路径集及测试总时间。结果表明,利用该方法对动力锂电池模组测试任务进行调度,可缩短49.3%测试总时间。The test channels are idle during the multi-parameter electric performance test of multiple sets of power lithium batteries,causing long overall test time and poor test efficiency.Multi-station test system for power lithium battery modules is studied,and the method of multi-parameter electric performance task scheduling for power lithium batteries is proposed.By splitting the electrical performance parameter test tasks and constructing the test path,the total task scheduling time is solved;the test task unit is scheduled based on the ant colony algorithm to solve the optimal test path and total test time.The results has shown that using the method to schedule power lithium battery module test tasks can shorten the total test time by 49.3%.

关 键 词：动力锂电池模组 电性能参数测试 任务调度 蚁群算法 

分 类 号：TP302.7[自动化与计算机技术—计算机系统结构] TB9[自动化与计算机技术—计算机科学与技术]