Intelligent scheduling method for power lithium battery formation

• Main Authors: YUAN YING, MIAO QINGLIN, KONG XIAOHONG, ZHANG YIHANG, SHI ZENGYONG, ZHU XINXIN, ZHAO XIAOJING, ZHENG LIYUAN, YANG WENQIANG
• Format: Patent
• Language: Chinese; English
• Published: 14.06.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to an intelligent scheduling method for formation of a power lithium battery, which comprises the following steps of: establishing a power lithium battery formation scheduling mathematical model, and solving the model by adopting an improved salp swing algorithm (MSSA). Aiming at the defect that the dogvessel squirt algorithm is easy to fall into local optimum, the invention improves the dogvessel squirt algorithm based on the following two points: firstly, excellent genes with different phenotypes can obtain better inheritance by adopting a superior student learning strategy, so that the solving quality is improved; and secondly, the optimal individual is updated based on the mirror mutation operator, so that the global development capability and the local exploration capability of the algorithm are well balanced, and the solving efficiency is improved. The intelligent level of production and manufacturing of the power lithium battery is further improved, and beneficial reference is pro