Search Thermo Fisher Scientific
Search Thermo Fisher Scientific
Thermo Scientific systems touch every part of the battery value chain, from extraction and processing of raw materials, to quality assurance in the production line, to research and development of new battery designs.
Challenge |
Technologies |
Solution |
Resources |
Avoid contamination of air-, moisture-, and/or beam-sensitive battery samples during preparation and sample transfer |
IGST workflow: DualBeam, SEM/Desktop SEM (in glove box), TEM, Avizo, CleanConnect |
Complete workflow to enable sample characterization of sensitive battery materials in their native state without contamination |
|
Detection of lithium is difficult using SEM, EDS, and TEM |
TOF-SIMS |
Accurately detect and map lithium in battery samples in 2D and 3D down to 10 ppm |
App note: Ion spectroscopy using TOF-SIMS on a Thermo Scientific Helios DualBeam |
TEM |
iDPC technology can clearly image light elements like lithium at atomic scale |
App note: Integrated Differential Phase Contrast on Talos S/TEM |
|
Characterize battery structure at different scales beyond the capacity of a single instrument |
CT, SEM, Raman, DualBeam, Avizo, EDS |
Correlative workflow allowing multiscale imaging and analysis of battery microstructure |
App note: Multiscale image-based control and characterization of lithium-ion batteries |
App note: Multiscale 3D imaging solutions for Li-ion batteries | |||
Prepare a large 2D area on the sample surface with high polishing quality for 2D imaging and characterization |
DualBeam (Plasma FIB-SEM), EDS |
High-throughput automated spin mill with high surface quality |
App note: Large area automated sample preparation for batteries |
SEM, CleanMill |
CleanMill offers a dedicated workflow for air-sensitive samples, an ultra-high energy ion gun for fast polishing, and a cryogenic function to protect sample integrity |
||
Characterize key microstructure properties (like tortuosity) for electrode structure performance correlations |
DualBeam, EDS, TOF-SIMS, Avizo |
3D characterization of battery structure · Hardware to image 3D battery structure at different scales · Software to automate 3D imaging data collection · Thermo Scientific Avizo Software workflow for image analysis and quantification |
Blog post/video: Advancing lithium-ion battery technology with 3D imaging |
App note: Multiscale image-based control and characterization of lithium-ion batteries |
|||
Characterize beam-sensitive materials like SEI at nanoscale |
TEM, EDS, Avizo |
Nano- and atomic-scale characterization of energy materials · Cryo-EM workflow for accurate data collection with superior EDS performance · Avizo Software for structure quantification and visualization |
Brochure: Analytical solutions for battery and energy storage technology |
In situ kinetic analysis (like heating) via electron microscope |
SEM |
Multiple in situ heating stage choices with integrated software for Thermo Scientific SEMs to understand cathode synthesis mechanisms |
Brochure: Scanning electron microscopy for lithium battery research |
Characterize beam-sensitive separator samples without damage |
SEM/SDB |
Superior low-KeV imaging and a cryo-FIB milling solution allow characterization of separator microstructure in 2D and 3D |
App note: Strategies for accurate imaging on battery separator structure |
Probe intrinsic SEI within a coin cell via electron microscopy |
Laser Plasma FIB |
High-energy, high-milling rate laser enables direct cross-section milling to understand Li-metal cell degradation mechanism |
|
Understand stoichiometry of solid electrolyte film as a function of depth |
XPS |
XPS depth profiling can quantify elements at each depth |
|
Measure electrode surface chemistry |
XPS |
XPS can quantify the chemical states present at the electrode surface |
App note: Analysis of electrode materials for lithium ion batteries |
Track the evolution of the SEI layer |
XPS |
Materials can be depth profiled using XPS and a cluster ion source to follow the development of the SEI layer after cycling |
|
In situ electrode cycling |
XPS |
Electrodes can be operated in situ to monitor spectral changes as they are charged and discharged |
|
Investigate changes in separator chemistry during cell lifetime |
XPS |
The surface chemistry of polymeric materials is easily characterized using XPS |
|
Profile battery components ex situ without missing point-to-point variability across an area |
Raman |
Raman microscopy can be used to look at changes to materials and distributions of components that occurred during use or testing |
|
Identify phases and determine structures in anodes and cathodes |
Raman |
Raman microscopy can visually show the spatial distribution of different phases of the same material with different performance characteristics |
App note: Raman analysis of lithium-ion batteries – Part I: Cathodes |
App note: Raman analysis of lithium-ion batteries – Part II: Anodes |
|||
XRD |
XRD can help to identify and quantify specific polymorphic structures of interest to increase yield and efficiency |
Brochure: ARL EQUINOX 100 X-ray Diffractometers | |
Trace and map anode composition across charge and discharge cycles |
Raman |
Raman microscopy can be used for in situ monitoring of changes on electrode surfaces during charge/discharge cycles |
|
Confirm the presence of specific carbon allotropes as anode components and in hybrid materials |
Raman |
Raman spectroscopy is particularly adept at the analysis of allotropes of carbon, including carbon in hybrid materials |
App note: Raman analysis of lithium-ion batteries – Part II: Anodes |
Understand the association of ionic species and distribution of components in solid polymer electrolytes (SPEs) |
Raman |
Raman microscopy can be used to visualize the spatial distribution of components in SPEs and indicate ionic associations |
App note: Raman analysis of lithium-ion batteries – Part III: Electrolytes |
Study crystallinity, stability, and reactivity in battery materials |
XRD |
X-ray diffraction can determine the percentage of crystallinity vs amorphous content of the active material, as well as structural stability and repeatability in real time |
|
Follow charge/discharge reactions in situ |
XRD |
During charge/discharge, the cathode and anode of every battery cell undergo changes. XRD allows you to follow the changing phase composition and the evolution of the crystalline structure |
Abbreviations: Avizo = Avizo Software; CT = Computed tomography; DualBeam = Focused ion beam scanning electron microscopy (FIB-SEM); EDS = Energy-dispersive X-ray spectroscopy; FIB = Focused ion beam; FTIR = Fourier transform infrared spectroscopy; iDPC = Integrated differential phase contrast; IGST = Inert sample gas transfer; SDB = Small DualBeam; SEI = Solid electrolyte interface; SEM = Scanning electron microscopy; SPE = Solid polymer electrolytes; TEM = Transmission electron microscopy; TOF-SIMS = Time of flight secondary ion mass spectrometry; XPS = X-ray photoelectron spectroscopy; XRD = X-ray diffraction.
Challenge |
Technologies |
Solution |
Resources |
Elemental analysis and grade control of nickel, cobalt, manganese, and iron ores |
XRF |
Thermo Scientific XRF lab spectrometers can quantify up to 90 elements in liquid or solid samples of mining materials, enabling control of ore body content for refinement and processing |
App note: Analysis of Nickel Ore with ARL OPTIM'X WDXRF Spectrometer |
App note: EDXRF Analysis of Nickel Ore as Pressed Powders in an Air Environment |
|||
App note: Analysis of lithium raw materials with WDXRF |
Abbreviations: XRF = X-ray fluorescence.
Challenge |
Technologies |
Solution |
Resources |
Electrode materials QC requires higher resolution than OM, but floor-based SEMs won’t fit in our lab and manual analysis is too slow |
Desktop SEM |
The Thermo Scientfic Phenom XL Desktop SEM can handle high-resolution morphology analysis and QC of anode and cathode materials with high-throughput automation |
|
Identification and quantification of metal impurities in raw materials is critical, but neither ICP nor optical microscopy does both |
Desktop SEM, EDS |
Thermo Scientfic Phenom ParticleX Desktop SEM can identify and quantify particle impurities with high-throughput automated EDS workflow |
Webinar: How to certify your NCM powder quality with SEM+EDS |
Rapidly characterize lithium, metal oxide, and lithium compounds |
Raman |
Thermo Scientific Raman instruments can analyze these compounds quickly with minimal sample preparation |
Blog post: Using Raman spectroscopy during lithium-ion battery manufacturing |
Characterize lithium and other highly reactive salts |
FTIR |
Compact Thermo Scientfic Nicolet FTIR instruments can measure sample spectra within an argon-purged glove box using remote control |
App note: FTIR characterization of lithium salts in an inert atmosphere |
Characterize raw materials |
XPS |
XPS can be used to analyze the surface of powdered materials prior to formation of electrodes, determining stoichiometry and identifying contaminants |
|
Evaluate purity of raw materials |
XRF |
Elemental analysis from ppm to 100%, pre-screening for impurities in carbon black |
|
Identify and quantify mineral composition in raw materials |
XRD |
Phase identification and structure determination in anode and cathode |
Abbreviations: EDS = Energy-dispersive X-ray spectroscopy; FTIR = Fourier transform infrared spectroscopy; ICP = Inductively coupled plasma; OM = Optical microscopy; SEM = Scanning electron microscopy; XRD = X-ray diffraction; XRF = X-ray fluorescence.
Challenge |
Technologies |
Solution |
Resources |
Detection of electrode impurities is slow and tedious using normal SEM-to-EDS workflow |
ChemiSEM, EDS |
Thermo Scientfic Axia ChemiSEM integrates SEM with “live EDS” for immediate characterization of electrode impurities |
App note: Assessment of contaminants within battery materials via Axia ChemiSEM |
Failure analysis and QC in battery production requires SEM-level resolution, but floor models take too much space |
Desktop SEM |
Phenom Desktop SEMs enable high-resolution, high-throughput analysis of battery materials |
App note: Investigate batteries with a SEM for better performance |
Identification and quantification of metal impurities in raw materials is critical, but neither ICP nor OM does both |
Desktop SEM, EDS |
Phenom ParticleX Desktop SEM can identify and quantify particle impurities with high-throughput automated EDS workflow |
Webinar: How to certify your NCM powder quality with SEM+EDS |
Binder characterization is difficult but crucial to confirm electrode mechanical structure |
SEM, DualBeam |
Superior imaging contrast of unique T3 detector for Thermo Scientfic Apreo 2 SEM enables mapping of non-conductive binder distribution within electrode |
Brochure: Scanning electron microscopy for lithium battery research |
Simultaneously quantify major elements (% level) and trace impurities (ppm, mg/kg) of a battery cathode |
ICP-OES |
Thermo Scientfic iCAP 6000 Series ICP-OES can accurately measure concentrations in solutions ranging from <0.006 mg/L to nearly 3000 mg/L (6 orders of magnitude) |
Abbreviations: DualBeam = Focused ion beam scanning electron microscopy (FIB-SEM); EDS = Energy-dispersive X-ray spectroscopy; FIB = Focused ion beam; ICP = Inductively coupled plasma; NCM = Nickel cobalt manganese; OES = Optical emission spectrometry; OM = Optical microscopy; SEM = Scanning electron microscopy.
Challenge |
Technologies |
Solution |
Resources |
Identification of impurities for root cause analysis is difficult using CT alone |
CT/SDB, EDS, Avizo |
A correlative CT/laser PFIB workflow can identify deeply embedded impurities without disassembling the cell |
App note: Multiscale 3D imaging solutions for Li-ion batteries |
Failure analysis requires high-resolution cross-section polishing while still protecting sample |
SEM, CleanMill |
Thermo Scientfic CleanMill offers a dedicated workflow for air-sensitive samples, an ultra-high energy ion gun for fast polishing, and a cryogenic function to protect sample integrity |
|
Differentiate carbon allotropes, reveal anode material structure, and track changes during usage |
Raman |
Raman spectroscopy is particularly useful for distinguishing between different allotropes of carbon and evaluating the structural quality of these materials |
App note: Raman analysis of lithium-ion batteries – Part II: Anodes |
Map degradation of the anode SEI layer |
Raman |
Raman microscopy can be used for visualizing changes to electrode materials and component distributions after a cell has been used |
|
Monitor battery off-gassing or chemicals released during a fire, short circuit, or other hazardous conditions |
FTIR |
Thermo Scientfic Antaris IGS system with Heated Valve Drawer can quantify release of HF and other fluorinated gasses under overtaxed conditions like a vehicle crash |
|
Assess crystallinity, stability, and reactivity in battery materials |
XRD |
Check crystal structure, crystallinity, orientation characteristics, thickness, homogeneity, and density of thin films and layers |
|
Detect defects, inclusions, and imperfections |
XRF |
Elemental mapping and small spot analysis down to 0.5 mm |
|
App note: Sample analysis using mapping with ARL PERFORM’X Series XRF spectrometers |
|||
Control the purity of anodes, cathodes, electrolytes, separators, and other components |
XRF |
Wavelength dispersive X-ray fluorescence (WDXRF) allows routine, daily monitoring and control of impurities and contamination |
|
Quantify trace elements in lead and lead alloys according to current standards for lead-acid batteries |
OES |
The Thermo Scientfic ARL iSpark Optical Emission Spectrometer enables trace and alloying element analysis in lead-acid batteries |
Analysis of lead and its alloys with the ARL iSpark OES spectrometer |
Abbreviations: DualBeam = Focused ion beam scanning electron microscopy (FIB-SEM); EDS = Energy-dispersive X-ray spectroscopy; FIB = Focused ion beam; ICP = Inductively coupled plasma; NCM = Nickel cobalt manganese; OES = Optical emission spectrometry; OM = Optical microscopy; SEM = Scanning electron microscopy.
Challenge |
Technologies |
Solution |
Resources |
Recycled materials QC requires higher resolution than OM, but floor-based SEMs won’t fit in our lab and manual analysis is too slow |
Desktop SEM |
The Phenom XL Desktop SEM can handle high-resolution QC of recycled battery materials with high-throughput automation |
|
Identification and quantification of metal impurities in recycled materials is critical, but neither ICP nor OM does both |
Desktop SEM, EDS |
The Phenom ParticleX Desktop SEM can identify and quantify particle impurities with high-throughput automated EDS workflow |
Webinar: How to certify your NCM powder quality with SEM+EDS |
Sort incoming materials to be recycled and control impurities in recovered metals |
XRF |
Black mass elemental analysis for recovery of metals, such as aluminum, nickel, cobalt, and manganese |
App note: Analysis of nickel ore with ARL OPTIM'X WDXRF Spectrometer |
App note: EDXRF analysis of nickel ore as pressed powders in an air environment |
Abbreviations: EDS = Energy-dispersive X-ray spectroscopy; ICP = Inductively coupled plasma; OM = Optical microscopy; SEM = Scanning electron microscopy; XRF = X-ray fluorescence.
For Research Use Only. Not for use in diagnostic procedures.