4.8 Article

Strategies for formulation optimization of composite positive electrodes for lithium ion batteries based on layered oxide, spinel, and olivine-type active materials

期刊

JOURNAL OF POWER SOURCES
卷 551, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jpowsour.2022.232179

关键词

Lithium ion batteries; Positive active material; Composite electrode formulation optimization; Inactive materials

资金

  1. State of North-Rhine Westphalia
  2. [PRO 0067A]

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This study investigates the influence of different positive active material classes on electrode formulation and optimizes the amount of binder and conductive additive to achieve high mechanical stability and conductivity. Formulation optimization leads to high energy density composite electrodes.
Electrode processing and performance strongly depend on the active material. Maximizing the active material content of positive composite electrodes enables low cost and high energy density. However, this maximization cannot reach 100%, as composite electrodes additionally consist of binder to provide mechanical integrity and conductive additive to enhance electronic conductivity, which in combination create a flexible porous micro-structure for appropriate electron and lithium transport. In this study, the influence of three positive active material classes, layered oxide LiNi0.6Mn0.2Co0.2O2, spinel-type LiMn2O4 and olivine-type carbon-coated LiFePO4, were investigated regarding the optimum amount of polyvinylidene difluoride as binder and carbon black as conductive additive to achieve high mechanical stability as well as high electronic and ionic conduc-tivity within composite electrodes. Formulation optimization was conducted and compared to a reference electrode formulation with regard to physical, mechanical, electronic and electrochemical properties. In a first step, the binder amount was optimized for each active material class by varying the ratio of binder content to surface area of the solid electrode components. In a second step, the critical conductive additive content was determined. Overall, this strategy allows to decipher material class dependent optimized electrode formulations for high energy density composite electrodes with maximized active material content.

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