Home / Metal News / Minor Metals / Sichuan Fuhua New Energy Hi-Tech Succeeds in Producing NCM 523 Ternary Materials
Sichuan Fuhua New Energy Hi-Tech Succeeds in Producing NCM 523 Ternary Materials
Jul 5,2017 17:24CST
industry newscompany news
Source:SMM
Sichuan Fuhua New Energy Hi-Tech Company announced July 4 to successful trial production of NCM 523 ternary materials, with monthly production capacity of 80 tonnes. 

SHANGHAI, Jul. 5 (SMM) - Sichuan Fuhua New Energy Hi-Tech Company announced July 4 to successful trial production of NCM 523 ternary materials, with monthly production capacity of 80 tonnes. 

The ternary material has gone through strict tests repeatedly, and its half battery is able to tolerate 200 charge/discharge cycles under 25℃, 4.50V~2.75V cut-off voltage, and 0.5C rate, with specific discharge capacity retention rate above 94 per cent. The service-life of full battery is expected to exceed 1, 500, far excel in performance over regular NCM ternary material. 

SMM learns from the company that its excellent performance of high-voltage NCM 523 ternary material has attracted high attention from clients both home and abroad. 

The company is still engaged in developing other ternary materials with better performance, and is expected to build 622 ternary material production line this November at its latest. 

The article is edited by SMM and is provided for information purpose only. SMM assumes no liability and does not warrant the accuracy, reliability or completeness of information contained or quoted in the article, either express or limited. SMM further disclaims any liability for losses in connection with the information contained or quoted in the article. 

For news cooperation, please contact us by email: sallyzhang@smm.cn or service.en@smm.cn.

battery price
ternary cathode material

For queries, please contact Frank LIU at liuxiaolei@smm.cn

For more information on how to access our research reports, please email service.en@smm.cn

Related news

MOST POPULAR
data analysis
data analysis
data analysis
data analysis
data analysis