响应曲面法优化双氟磺酰亚胺锂提纯工艺研究

doi:10.11962/1006-4990.2019-0516

Abstract

Abstract:

As a new lithium electrolyte salt,the purity of lithium difluorosulfimide（LiFSI） has great influence on the perfor-mance of lithium ion battery.In order to prepare high-purity LiFSI product,three technological parameters including ratio of material to liquid（mass ratio of crude product to purified solvent）,crystallization time and cooling rate and their interaction effects on the purity of the purified products were systematically studied based on the response surface method,and the rele-vant mathematical prediction model was established.Results showed that under the conditions that the ratio of material to liq-uid was 20.7%,the crystallization time was 30.2 h and the cooling rate was 3.4 ℃/h,the purity of the prepared LiFSI product was 99.98%.

Key words: lithium difluorosulfimide, response surface method, lithium ion battery

CLC Number:

TQ131.11

Wang Kuangbin,Xu Shengxia,Wang Yongqin. Research on purification process of lithium difluorosulfimide optimized by response surface method[J]. Inorganic Chemicals Industry, 2020, 52(9): 62-65.

Figures/Tables 9

References 8

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水平	因素
水平	A 料液比/%	B 结晶时间/h	C 降温速率/（℃·h^-1）
-1	18	25	3
0	20	30	4
1	22	35	5

提纯溶剂	纯度/ %	色度	w（酸度）/ 10^-6	w（不溶物）/ 10^-6	w（水分）/ 10^-6	w（阳离子）/ 10^-6	w（阴离子）/ 10^-6	收率/ %
乙腈	99.78	类白色	425	887	162	186	379	73
乙醚	99.64	淡黄色	518	2 782	387	282	587	70
异丙醚	99.33	淡黄色	1 067	4 232	645	409	692	68
乙二醇二甲醚	99.42	淡黄色	831	3 827	528	387	598	61
碳酸甲乙酯	99.56	白色	654	3 281	576	482	576	63
碳酸二甲酯	99.41	白色	642	3 932	589	439	582	58
碳酸二乙酯	99.24	白色	679	5 727	565	452	561	61
乙腈/18- 冠-6/15- 冠-6	99.96	白色	80	128	38	12	53	83

序号	A 料液比/%	B 结晶时间/ h	C 降温速率/ （℃·h^-1）	纯度/ %	序号	A 料液比/%	B 结晶时间/ h	C 降温速率/ （℃·h^-1）	纯度/ %
1	18	35	4	99.73	9	22	30	3	99.98
2	20	30	4	99.98	10	22	35	4	99.92
3	20	25	3	99.94	11	22	25	4	99.83
4	20	35	5	99.81	12	18	30	3	99.89
5	18	25	4	99.86	13	20	25	5	99.84
6	20	35	3	99.96	14	20	30	4	99.98
7	22	30	5	99.82	15	20	30	4	99.99
8	18	30	5	99.87

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Research on purification process of lithium difluorosulfimide optimized by response surface method

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