合成条件对放电容量的影响改进遗传算法建模  

Model Formulation for Relativity of Discharge Capacity to Sinting Conditions

作　　者：麦立强[1] 陈文[1] 徐庆[1] 谢永贤[1] 

机构地区：[1]武汉理工大学

出　　处：《武汉理工大学学报》2002年第11期5-7,共3页Journal of Wuhan University of Technology

基　　金：国家自然科学基金项目 (5 980 2 0 0 9;5 0 172 0 36 );高等学校优秀青年教师教学科研奖励计划资助

摘　　要：采用多重交叉策略和多重变异策略的改进遗传算法建立了锂离子电池正极材料合成条件对放电容量的影响关系模型。结果表明 ,该方法估算精度高 ,收敛速度快 ,具有较强的通用性。所得模型精确度高 。The model of discharge capacity to synthesis conditions in Li ion cell cathode materials was built by using the genetic algorithm. The standard genetic algorithm was modified by using multiple crossover and mutation strategies instead of simple strategy. The result show that the modified genetic algorithm show high estimation precision and good convergence. This algorithm is general and works effectively, automatically and quickly in solving model building problems in many fields. The examination results of model coincide well with the actual situation.

关 键 词：合成条件 放电容量 改进遗传算法 正极材料 建模原理 锂离子电池 影响关系模型 

分 类 号：TM912.2[电气工程—电力电子与电力传动] O646[理学—物理化学]