Evaluation of Lithium-battery Conductive Slurry Dispersion byNuclear Magnetic Resonance Technology
ZHOU Ping1,LUAN Zhenchao2
1. Xiamen Institute of Measurement and Testing, Xiamen, Fujian 361000, China
2. Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
Abstract：The positive conductive slurries prepared by different types of conductive particles for lithium batteries are studied by using nuclear magnetic resonance (NMR) technology. By measuring the relaxation time and spectrum of the slurries, it is found that the relaxation time of carbon black slurry is negatively correlated with the BET value under the same grinding dispersion condition, and the relaxation spectrum of carbon black slurry is single-peak structure, indicating that carbon black is more easily dispersed. The relaxation spectra of carbon nanotube (CNT) slurry are all multi-modal, which indicates that the dispersion of CNT is poor. Further research results show that the larger the solid content of CNT slurry, the larger the specific surface area of the particles, the larger the relaxation time of the main peak of the relaxation spectrum, the lower the proportion of the main peak signal, indicating that the CNT is more prone to entanglement and aggregation in the solvent.
The use of solvent relaxation NMR to study colloidal suspensions ［J］. Soft Matter, 2013, 9: 7211-7228.
ZHANG B L, WANG K, LI J H, et al. Progress in Carbon Nanomaterials for Lithium-ion Batteries ［J］. Materials Reports, 2022, 36(20): 115-127.
CHEN Z J, ZHANG Y M, TIAN S, et al. Research progress of conducting agent for lithium-ion batteries ［J］. Chinese Journal of Power Sources, 2019, 43(2): 333-337.
WANG M N, ZHANG X C, MAO J W, et al. Rapid determination of wet specific surface area of graphene materials by low field nuclear magnetic resonance ［J］. Sichuan Chemical Industry, 2019, 6(22): 33-36.
HUANG Y P, HONG S X, LI W W, et al. Assessing the Dispersion Quality of Carbon Nanotubes Suspensions by Low Field Nuclear Magnetic Resonance ［J］. Materials Science and Engineering, 2019,611:012029.
LONG H C, XIA J X, CAO B. Quantitative analysis on water status in coal-water slurry based on low field nuclear magnetic resonance technology ［J］. Journal of Sediment Research, 2018, 43(3): 44-49.
［14］
RACE S, FAIRHURST D, BROZEL M. Compact and portable low-field pulsed NMR dispersion analyzer:US7417426B2 ［P］ 2008.
［17］
OKADA K, HAYASHI Y,KUMADA S, et al. Nondestructive Investigation of the Agglomeration Process for Nanosuspensions via NMR Relaxation of Water Molecules ［J］. European Journal of Pharmaceutical Sciences, 2021,164:105908.
YAO Y B, LIU D M. Petrophysical properties and fluids transportation in gas shale: A NMＲ relaxation spectrum analysis method ［J］. Journal of China Coal Society, 2018, 43(1): 181-189.
HOU X N, WANG X R. Interaction between dye and water in reactive ink based on LF-NMR ［J］. Textile Auxiliaries, 2020, 32(12): 15-19.
DU C M, XING Y X, CHAI S G, et al. Compatibility Characterization of Silica with Liquid Medium ［J］. Chinese Journal of Inorganic Chemistry, 2016, 32(5): 777-781.
JUNG H K, JUNHO A, HAN-MIN K, et al. Highly efficient oxidation of single-walled carbon nanotubes in liquid crystalline phase and dispersion for applications in Li-ion batteries ［J］. Chemical Engineering Journal, 2023, 458:141350.
［9］
FAIRHURST D, COSGROVEB T, STUART W,et al. Relaxation NMR as a tool to study the dispersion and formulation behavior of nanostructured carbon materials ［J］. Magn Reson Chem, 2016, 54, 521-526.
［11］
袁丽. 溶液分散体系中纳米颗粒形态与表面状态的原位测量 ［D］.成都:西华大学, 2017.
Characterisation of polyphosphate coated aluminium-doped titania nanoparticles during milling ［J］. Journal of Colloid and Interface Science, 2019,548: 110-122.
YUAN P L, DING X X, GUO P, et al. Research and industrialization of conductive additive technology in the field of new energy batteries ［J］. The Chines Journal of Process Engineering, 2023, 23(8): 1118-1130.
2024, Vol. 45 
