中文摘要：

统计上基于的优化策略被用来作为原料用 LiOH， FePO4 和蔗糖为 LiFePO4/C 的合成优化 carbothermal 减小技术。为适合反应的试验性的数据被中央合成可旋转的设计(电荷耦合器件) 收集。为 LiFePO4/C 的分泌物能力的第二个顺序模型被表示为 sintering 温度， sintering 时间和碳内容的功能。单个变量和他们的相互作用的效果被统计分析(ANOVA ) 学习。结果证明线性效果和在这些变量之中的 sintering 温度，碳内容和相互作用的二次的效果是统计上重要的，当 sintering 时间的那些效果是不足道的时。为模型的空间表示的反应表面阴谋说明分泌物能力多于 sintering 时间取决于 sintering 温度和碳内容。获得的模型在 652.0 点给 sintering 温度的优化反应参数) 并且 DCM/ethanol (EtOH ) 或 DCM/dimethyl sulfoxide (DMSO ) 的混合物作为溶剂，与 supercritical 二氧化碳作为 antisolvent。溶剂，溶剂比率，温度，压力，聚合物集中和答案流动的效果在粒子上评价吗？

英文摘要：

A statistically based optimization strategy is used to optimize the carbothermal reduction technology for the synthesis of LiFePO4/C using LiOH,FePO4 and sucrose as raw materials.The experimental data for fitting the response are collected by the central composite rotatable design（CCD）.A second order model for the discharge ca-pacity of LiFePO4/C is expressed as a function of sintering temperature,sintering time and carbon content.The ef-fects of individual variables and their interactions are studied by a statistical analysis（ANOVA）.The results show that the linear effects and the quadratic effects of sintering temperature,carbon content and the interactions among these variables are statistically significant,while those effects of sintering time are insignificant.Response surface plots for spatial representation of the model illustrate that the discharge capacity depends on sintering temperature and carbon content more than sintering time.The model obtained gives the optimized reaction parameters of sinter-ing temperature at 652.0 ℃,carbon content of 34.33 g？mol-1 and 8.48 h sintering time,corresponding to a dis-charge capacity of 150.8 mA·h·g-1.The confirmatory test with these optimum parameters gives the discharge ca-pacity of 147.2 and 105.1 mA·h·g-1 at 0.5 and 5 C,respectively.