Atomic force microscopy is particularly well suited as a tool for Lithium ion battery research to address the key challenges of improving battery capacity, power density, lifetime, and safety. Fundamentally, a battery is an electrochemical cell, and electrochemical AFM can serve to probe changes of the electrode surface directly, in situ and in operando, and even measure variations in local electrochemical activity. For example, AFM studies of high-capacity Li ion anodes can help understand the evolution and degradation of the solid-electrolyte interphase (SEI) layer, which limits power density and battery lifetime. At the cathode, correlated electrical and mechanical characterization can quantify component distribution, characterize conductivity variation, and pinpoint inactive metal oxide grains that limit capacity. Finally, AFM imaging of the separator membrane on a tensile stage can provide insight into the fracture mechanism operating when dendrite growth leads to catastrophic failure.

The ability to measure local electrochemical activity and surface conductivity in situ, in the presence of electrolyte is equally useful for the characterization of other energy storage and conversion approaches such as supercapacitors, fuel cells, and solar fuel.

Key Capabilities

  • In situ, in operando characterization during anode charging cycles with EC-AFM
  • Quantitative studies of the SEI layer on high capacity anodes with PeakForce QNM
  • Direct probing of local electrochemical activity with PeakForce SECM
  • Multimodal cathode characterization with DataCube modes
  • Turnkey solutions for EC-AFM, SECM, and glove box integration

The Anode – In Situ, In Operando Imaging

Lithiation

The lifetime of lithium-ion batteries depends critically on the formation and evolution of the passivating SEI layer. The challenge lies in the large electrode volume changes during battery cycling, which leads to substantial deformation of the SEI layer, especially for high capacity anodes. The ideal experiment would probe the fragile SEI layer directly, in operando, a feat that used to be considered very difficult. The series of images shown here does just that and is from collaborative work performed with the Sheldon group at Brown University. Here patterned Si anodes were observed using PeakForce QNM, in a glove box integrated Dimension Icon with electrochemical cell. For the first time, the formation of cracks in the SEI layer is observed directly, during lithiation. The mechanical degradation is being tracked during multiple charging cycles, which are shown not to repair the initial crack completely, contradicting prior speculation.

These experiments also open the door to estimating the fracture toughness, a key parameter for breakdown of the SEI layer (see our coauthored ACS Energy Letters article, “In Situ and Operando Investigations of Failure Mechanisms of the Solid Electrolyte Interphase on Silicon Electrodes”). For further studies on the SEI layer, see also the recent Nature Communications article, “Lithium Anode Stable in Air for Low-Cost Fabrication of a Dendrite-Free Lithium Battery,” coauthored by Nobel Laureate John Goodenough.

The Cathode – Multimodal Characterization

Data Cube Tuna

Lithium ion cathodes are a complex and heterogeneous mix containing metal oxide particles to store the Lithium in the discharged state, surrounded by polymeric binder material that accommodates volume changes mixed with carbon black material to maintain high conductivity and thus ability to deliver high power density. The image series here shows how DataCube SSRM on a Dimension Icon XR helps map out the component distribution and uncover drastic particle to particle variation. Here the modulus map available in DataCube mode clearly distinguishes the hard metal oxide particles from the surrounding soft binder, while a concurrently acquired conductivity map reveals the uneven distribution of carbon black. A particle near the top edge of the image is seen not to be covered by carbon black and a series of conductivity images extracted from the same data cube identifies this particle as dead i.e. inactive over the entire range of operating voltages.

Data Cube Tuna Correlated

Selected Publications

  • Shen et al, “Lithium Anode Stable in Air for Low-Cost Fabrication of a Dendrite-Free Lithium Battery,” Nature Communications 10, 900 (2019), DOI:10.1038/s41467-019-08767-0.
  • Becker et al, “Enhanced Lithiation Cycle Stability of ALD-Coated Confined a-Si Microstructures Determined Using In Situ AFM”, ACS Appl. Mater. Interfaces 2016, 8, 1, 530-537.
  • Chen et al, “Deformation and Fracture Behaviors of Microporous Polymer Separators for Lithium Ion Batteries” RSC Advances 2014, 4, 1409.
  • Hiesgen et al, “AFM as an Analysis Tool for High-Capacity Sulfur Cathodes for Li–S Batteries” Beilstein Journal of Nanotechnology 2013, 4, 611.
  • Hiesgen et al, “Microscopic Analysis of Current and Mechanical Properties of Nafion® Studied by Atomic Force Microscopy” Membranes 2012, 2, 783.
  • Kumar et al, “Strain-Induced Lithium Losses in the Solid Electrolyte Interphase on Silicon Electrodes” ACS Appl Mat & Int 2017, 9, 28406.
  • Kumar et al, “In Situ and Operando Investigations of Failure Mechanisms of the Solid Electrolyte Interphase on Silicon Electrodes”, ACS Energy Letters 2016, 1, 4, 689-697.
  • Lakowski et al, “Nanoscale Semiconductor/Catalyst Interfaces in Photoelectrochemistry”, Nature Materials, 2019; DOI: 10.1038/s41563-019-0488-z.
  • Nellist et al, “Potential-Sensing Electrochemical Atomic Force Microscopy for In Operando Analysis of Water-Splitting Catalysts and Interfaces”, Nature Energy 2018, 3, 46.