Chlorine-Based Sodium Solid Electrolyte
20230115956 · 2023-04-13
Inventors
- Ying Shirley MENG (La Jolla, CA, US)
- Erik WU (La Jolla, CA, US)
- Swastika BANERJEE (La Jolla, CA, US)
- Han Mei TANG (La Jolla, CA, US)
- Shyue Ping ONG (Palo Alto, CA, US)
- Abhik BANERJEE (La Jolla, CA, US)
Cpc classification
H01M4/62
ELECTRICITY
H01M4/485
ELECTRICITY
C01P2002/76
CHEMISTRY; METALLURGY
C01G25/006
CHEMISTRY; METALLURGY
H01M4/131
ELECTRICITY
Y02E60/10
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
C01P2002/72
CHEMISTRY; METALLURGY
International classification
H01M10/054
ELECTRICITY
Abstract
Sodium-based all solid-state batteries exhibit improved battery cycle life and stability with the use of a new chloride-based sodium solid electrolyte in which sodium diffusivity within the electrolyte is enhanced through substitution of atoms including one or more of Y with Zr, Ti, Hf, Ta, and Na with one or more of Ca and Sr.
Claims
1. A composition for sodium-based all-solid-state batteries, comprising a halide compound comprising a sodium solid electrolyte based on a parent compound Na.sub.3YCl.sub.6, wherein sodium diffusivity within the halide compound is enhanced through substitution of Y or Na with one or more of Zr, Ti, Hf, Ta, Ca, Sr, Mg, and Fe.
2. (canceled)
3. The composition of claim 1, wherein the electrolyte is an engineered framework with Na-deficiency compared to the parent Na.sub.3YCl.sub.6.
4. The composition of claim 1, wherein the electrolyte is Na.sub.3-.sub.xY.sub.1-xZr.sub.xCl.sub.6 where 0 < x < 1.
5. The composition of claim 4, wherein the electrolyte is Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6.
6. A sodium-based all-solid-state battery comprising: a sodium-based solid electrolyte, wherein sodium diffusivity within the electrolyte is enhanced through substitution of Y or Na with one or more of Zr, Ti, Hf, Ta, Ca, Sr, Mg, and Fe; and a composite cathode comprising an oxide cathode.
7. The battery of claim 6, further comprising an Na alloy anode, wherein the Na alloy comprises Na.sub.xSn, Na.sub.xSb, or Na.sub.xSn.sub.ySb.sub.1-y, where x is between 0 to 3.75.
8. The battery of claim 7, wherein the electrolyte is stable with the Na alloy.
9. The battery of claim 6, wherein the oxide cathode is a transition metal oxide cathode.
10. The battery of claim 6, wherein the oxide is NaCrO2.
11. The battery of claim 6, wherein the electrolyte is N.sub.a3PS.sub.4.
12. The battery of claim 6, wherein the battery has a capacity retention of greater than 80% after more than 200 cycles.
13. (canceled)
14. A sodium-based all-solid-state battery comprising a sodium-based solid electrolyte, a transition metal oxide cathode, and a halide compound characterized in that one or more metallic elements M selected from Zr, Ti, Hf, Ta, Ca, Sr, Mg, and Fe are substituted into pristine N.sub.a3 YCl.sub.6 to define a buffer layer between the solid electrolyte and the cathode.
15. The battery of claim 14, where the cathode and the buffer layer each comprise a composite comprising an engineered framework with Na-deficiency compared to pristine N.sub.a3 YCl.sub.6.
16. The battery of claim 14, further comprising an anode comprising a Na alloy selected Na.sub.xSn, Na.sub.xSb, and Na.sub.xSn.sub.ySb.sub.1-y, where x is between 0 and 3.75.
17. The battery of claim 15, wherein the solid-state electrolyte is stable with the composite.
18. The battery of claim 14, wherein the cathode is NaCrO2.
19. The battery of claim 14, wherein the solid electrolyte is Na.sub.3PS.sub.4.
20. The battery of claim 14, wherein one or both of the cathode and the buffer layer comprises of Na.sub.3-xY.sub.1-xZr.sub.xCl.sub.6 where 0 < x < 1.
21. The battery of claim 19, wherein one or both of the cathode and the buffer layer comprises Na.sub.2.25Y.sub.0.25Zro.sub..75Cl.sub.6.
22. The battery of claim 14, wherein the battery has a capacity retention of greater than 80% after more than 200 cycles.
23. (canceled)
24. A composition comprising a sodium-ion conducting material configured for use as an interface between a high voltage oxide cathode and a sodium-based solid electrolyte in a sodium all-solid-state battery, wherein the material is based on a parent compound Na.sub.3YCl.sub.6 , wherein Na or Y is substituted with one or more of Zr, Ti, Hf, Ta, Ca, Sr, Mg, and Fe.
25. The composition of claim 24, wherein the material is Na.sub.3-xY.sub.1-xZr.sub.xCl6 where 0 < x < 1.
26. The composition of claim 24, wherein the material is Na.sub.2.25 Y.sub.0.25Zr.sub.0.75Cl.sub.6.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0021]
[0022]
[0023]
[0024]
[0025]
[0026]
[0027]
[0028]
[0029]
[0030]
[0031]
[0032]
[0033]
[0034]
[0035]
DETAILED DESCRIPTION OF EMBODIMENTS OF THE INVENTION
[0036] The inventive material starts with the Na.sub.3YCl.sub.6 parent compound. 4+ ions are preferentially found to take the place of yttrium, so that, upon elemental substitution, the empirical formula becomes Na.sub.3-xY.sub.1-xA.sub.xCl.sub.6, where A═Hf, Zr, Ti and 0<x<1. In addition, 2+ ions can take the place of the sodium atom, meaning the formula will become Na.sub.3-.sub.2xB.sub.xYCl.sub.6, where B═ Ca, Sr. Sodium vacancies are created in both cases to balance the charge.
[0037] Experimental synthesis of the parent Na.sub.3YCl.sub.6 (“NYC”) compound was carried out by mixing NaCl and YCl.sub.3 in stoichiometric amounts in a mortar and pestle. After ball milling for 2 hours at 500 rpm, the material was flame sealed in a quartz tube and heated at 500° C. for 24 hours. Afterwards, the material was ball milled again for 4 hours at 400 rpm to get the final powder. Characterization of the material was carried out via X-ray diffraction in a sealed boron-rich capillary tube. To incorporate zirconium, a third salt, ZrCl.sub.4, was introduced before the mixing and heating process. The compositions of Na.sub.3-xY.sub.1-xZr.sub.xCl.sub.6, made at every x=0.125 increment, were carried out using the appropriate ratio of NaCl to YCl.sub.3 to ZrCl.sub.4. For all samples, XRD was performed and the conductivity was measured in the same way, by pressing a pellet in a 10 mm-diameter PEEK mold using titanium plungers. Further details of the synthesis, fabrication and testing procedures are provided below.
[0038] Methods: All density functional theory (DFT) calculations were performed using the Vienna Ab initio Simulation Package (VASP) package (University of Vienna) within the projector augmented wave (PAW) method. The Perdew-Burke-Emzerhof generalized-gradient approximation (GGA) was used to model the exchange-correlation for all chemistries. A plane-wave cut-off 520 eV was used for all cases to keep consistent with Pymatgen package settings. All input file generation and analysis of results were performed using Pymatgen and pymatgen-diffusion packages as are known in the art.
[0039] Generation of the set of structures and geometry analysis: The Materials Project (MP) open source library and the Inorganic Crystal Structure Database (ICSD) (FIZ Karlsruhe) are the source of crystallographic data in the computation. Additional precomputed crystalline data, such as the space group, the band gap, the energy above hull (E.sub.hull) and the decomposition products, were also extracted from MP database using the Materials Project API.
[0040] The structures of Na.sub.3YCl.sub.6 and Na.sub.3YBr.sub.6 were extracted from MP database, which are indexed as mp-31362 (ICSD#59886) and mp-29080 (ICSD#82355), respectively. Aliovalent-doping or substitution of selected metallic elements M (M = Ca, Sr, Ti, Zr, Hf, Ta) into pristine Na.sub.3YCl.sub.6 at Na or Y sites were performed to identify the promising optimization strategies.
[0041] Identifying a new compound from experimental XRD data alone can be challenging. In this study, Na.sub.2ZrCl.sub.6, having a distinct crystal structure, was investigated in order to determine the structure. Three groups of theoretical structures were generated: (a) substituted Zr at Y sites using the 3 pristine Na.sub.3YCl.sub.6 structures (mp-675104, mp-31362 & mp-1111487); (b) substituted all structures in MP database matching the formula of A.sub.2MX.sub.6 to Na.sub.2ZrCl.sub.6; (c) utilized the compound prediction tool in Pymatgen package to generate all possible compounds in Na—Zr—Cl chemical space. All candidate structures were fully relaxed, and the experimental structure was successfully obtained from the pool.
[0042] Topological analysis of the framework chemistries was performed using Zeo++, an open-source topological analysis package. The quantity of interest is the largest included sphere radius along the free sphere path R.sub.inc. This gives an estimate of the diffusion channel size which is associated with the ionic conductivity of the material.
[0043] To determine the reaction energy between two components, the phase diagram between the two reactants was constructed. The energy of the energetically most favored reaction is used to represent the reaction energy between the contacting interface (e.g., the selected electrolyte/cathode interface).
[0044] Kinetic simulations to study the diffusion properties of candidates: The diffusivity and conductivity of the selected compounds including NYC and NYC-derivatives were calculated using non-spin polarized Ab-initio Molecular Dynamics (AIMD) in NVT ensemble. A smaller plane-wave energy cutoff was selected as 280 eV. Supercells with the minimum dimension larger than 10 Å and a minimal Γ-centered 1×1×1 k-mesh are used. The time step was set to 2 fs. All AIMD calculations were performed using automated in-house AIMD workflow program. Diffusivities were obtained at the range of temperature between 400 K and 1200 K depending on the melting point of the material. Activation energy is obtained by plotting a converged Arrhenius plot at selected temperatures using the Nernst-Einstein relation. Selective dynamic scheme was also applied to Zr doped/substituted-NYC compositions to understand the effect of Cl motion on the Na diffusion mechanism. Climbing image nudged elastic band calculations (CI-NEB) calculations are applied to get the activation energy of a Na-ion migration path.sup.29 for NYC and NYC substituted by Zr at Y site.
[0045] Machine learning interatomic potential and molecular dynamic simulations: The moment tensor potential (MTP) for NYZC0.75 was developed using the open-source Materials Machine Learning (maml) Python package. The training data comprises 800 snapshots extracted at 400 fs intervals from AIMD NVT simulations at 600 K, 800 K, 1000 K, and 1200 K. Static DFT calculations were then performed to obtain accurate energies and forces. A training:test split of 90:10 was used to train the machine learning model. The MTP cutoff radius and the maximum level of basis functions, lev.sub.max were chosen to be 5.0 Å and 14, respectively. The mean absolute error (MAE) on the energies and forces were 1 meV atom.sup.-1 and 63.5 meV Å.sup.-1, respectively. NPT MD simulations using the MTP were carried out using LAMMPS..sup.4 The simulation time was at a least amount of 10 ns with a 2 fs time step. A 4 × 4 × 4 supercell of the NYC0.75 with 592 atoms was used.
Experimental Synthesis and Characterization
[0046] Electrolyte Synthesis: All fabrication processes were conducted in an Ar-filled glovebox (mBraun 200B, H.sub.2O ppm <0.5, O.sub.2 ppm < 1), unless otherwise noted. Stoichiometric amounts of the precursors NaCl (>99%, Sigma Aldrich), YCl.sub.3, (99.9%, Sigma Aldrich) were hand-mixed in a mortar and pestle for 10 minutes and the powder mixture was placed in a 50 mL ZrO.sub.2 ball mill jar (Retsch Emax) with eleven 10 mm-diameter Y—ZrO.sub.2 milling balls. The mixture was milled for 2 hours at 500 rpm. The material was extracted from the jars in the glovebox, pelletized at a pressure of 370 MPa with a 13 mm pellet die (Carver), loaded into a quartz tube, flame sealed, and heated in a box furnace (Lindberg Blue M) at 500° C. for 24 hours. For uniformity, the material was ball milled again after heat treatment using 88 5 mm diameter Y-ZrO.sub.2 milling balls for a duration of 4 hours. The material was extracted and stored in the glovebox for further testing.
[0047] For the Zr substitutions, the aforementioned procedure was conducted, except with the introduction of ZrCl.sub.4 (99.99%, Sigma Aldrich) as a third precursor and the reagent ratios adjusted accordingly.
[0048] Characterization - XRD: Powder samples were loaded into 0.5 mm-diameter boron-rich capillary tubes (Charles Supper). The tube opening was capped with clay and wrapped in paraffin film before it was brought outside of the glovebox to be flame-sealed with a butane torch. The samples were measured on a Bruker Kappa goniometer equipped with a Bruker Vantec 500 detector. The sample was placed in the Bragg-Brentano θ-θ configuration and the Debye-Scherrer method was used for measurements. XRD data was collected using Cu Kα radiation at 45 kV and 50 mA, over a 2θ range of 5-90° with a step size of 0.01°.
[0049] For Synchrotron XRD, the samples were prepared by loading the powders into polyimide tubes in the glovebox and were subsequently sealed with epoxy.
[0050] Electrochemical Characterization: The powder was pressed at 370 MPa into a 10 mm polyether ether ketone (PEEK die) using two titanium plungers. On both sides of the pellet, acetylene black (AB) was added for better contact with the current collectors; once added, the AB was pressed at 370 MPa using the titanium plungers. The cell configuration was secured into a cell holder and connected to a Solartron 1260 impedance analyzer. Impedance measurements were taken with an applied AC potential of 30 mV over a frequency range of 1 MHz to 1 Hz. Temperature-dependent EIS measurements were also conducted within the glovebox; the sample was heated from 20° C. to 100° C. and EIS measurements were recorded at every 20° C. increment. Measurements were taken only after the sample was held at the target temperature for over an hour to allow for equilibration. The heating rate was 2° C./min. The activation energy (E.sub.a) was calculated from the slope of the resulting Arrhenius plot.
[0051] The model all solid-state battery contains the NaCrO.sub.2 positive electrode, a Na-Sn (2:1) negative electrode, and Na.sub.3PS.sub.4. The positive electrode is then mixed into a composite with a weight ratio of 11:16:1 of NaCrO.sub.2:solid electrolyte:vapor-grown carbon fibers (VGCF, Sigma Aldrich) The all solid-state battery is manufactured through mechanical pressing; 75 mg of Na.sub.3PS.sub.4 powder is pressed first at 370 MPa, then about 12 mg of the composite NaCrO.sub.2 powder is placed on one side of the Na.sub.3PS.sub.4 pellet and pressed at the same pressure, and then on the opposite side of the Na.sub.3PS.sub.4, an excess of Na—Sn 2:1 alloy (35 mg) is pressed at the same pressure. After securing the cell in a cell holder, the electrical leads were connected to the electrochemical cycler (Landhe). The current used was 50 .Math.A which corresponded to a rate of C/10.
[0052] To incorporate the NYZC material into the model ASSB, the NYZC would take the place of Na.sub.3PS.sub.4 in the composite cathode (still hand-mixed with the same 11:16:1 ratio). 15 mg of NYZC would either be pressed on top of Na.sub.3PS.sub.4 before pressing the composite cathode to make a “bilayer cell”, or simply the NYZC-containing composite cathode would be pressed onto Na.sub.3PS.sub.4 to make the “monolayer” cell. For cells cycled at 40° C., the cell assemblies were placed into a compact muffle furnace (MTI KSI-1100X) within the Ar-filled glovebox. After cycling, the cell was disassembled to characterize any material changes.
[0053] X-ray Photoelectron Spectroscopy (XPS): The powders were adhered onto a small metallic sample stub (Shimadzu Corporation, Kyoto, Japan) with carbon tape. The stub was placed into a custom 3-D printed holder inside a 30 mL LDPE bottle and the lid secured with paraffin film. The bottle was placed into a metallic tube and sealed inside the glovebox with clamps.
[0054] The metallic canister was placed into a N.sub.2 glovebox that is attached to the XPS tool (Kratos Axis Supra from Kratos Analytical Ltd., Manchester, UK), where the sample can be transferred into the analysis chamber without any exposure to ambient air. All measurements were taken using 15 kV Al Kα radiation at a chamber pressure less than 5 × 10.sup.-8 torr. For the wide survey scans, a pass energy of 160 eV and a dwell time of 100 ms was used, but for specific element regions, a pass energy of 20 eV, a dwell time of 300 ms, and a step size of 0.05 eV was used. The charge neutralizer was enabled during all the measurements. Data calibration and analysis were conducted by the CasaXPS software (Casa Software Ltd.), and all region spectra were calibrated using the C 1s peak.
[0055] Results and Discussion: Na.sub.3YCl.sub.6 was first synthesized using a combination of NaCl and YCl.sub.3 precursors. To verify its synthesis, air-sensitive capillary X-ray diffraction (XRD) was conducted on NYC. Rietveld Refinement was conducted using the FullProf software suite; the crystal structure of this compound was found to be monoclinic, with space group P21/n. The XRD pattern is shown in
TABLE-US-00001 Atom × y z B.sub.iso SOF Y 0 0.5 0 3.1 (5) 1 C11 0.132 (3) 0.567 (3) 0.245 (4) 3.5 (4) 1 C12 0.168 (4) 0.801 (3) 0.929 (3) 3.5 (4) 1 C13 0.321 (4) 0.325 (4) 0.928 (3) 3.5 (4) 1 Na0 0.519 (5) 0.423 (3) 0.245 (4) 1.8 (7) 1 Na1 0.5 0 0 1.8 (7) 1
[0056]
[0057] To computationally evaluate the Na.sup.+ diffusion properties of these compounds, the Na mean-squared displacement (MSD) was obtained through AIMD simulations for all NYC compounds (and for isostructural bromine, Na.sub.3YBr.sub.6). The results are provided in
[0058] To modify such a compound in order to increase its ionic conductivity, aliovalent doping is a promising avenue. Starting from a defect-free crystal where all sites are occupied and there are no channels for ions to migrate, aliovalent doping introduces interstitials or vacancies in the SSE structure which can enhance Li.sup.+ or Na.sup.+ diffusion. To explore this, elements that can substitute into NYC were identified by computational methods.
[0059]
[0060]
[0061] Na.sub.3PS.sub.4 (NPS) as a reference.
TABLE-US-00002 x E.sub.a (meV) 0 (Expt.) 541 0.375 455 0.5 378 0.625 291 0.75 357 1 400
[0062]
[0063]
[0064] To illustrate that Zr was experimentally incorporated, XPS was conducted on NYC and NYZC0.5. The region scans of the Na 1s, Y 3d, Cl 2p, and Zr 3d binding energy regions are shown, respectively, for NYC (
[0065]
[0066] To elucidate the structure of NZC, Rietveld refinement was carried out on synchrotron XRD data (λ = 0.1668 Å).
TABLE-US-00003 Atom x y z B.sub.iso SOF Zr1 0 0 0 1.20 (8) 0.965 (5) Zr2 0.3333 0.6667 0.4898 (10) 1.20 (8) 1 Zr3 0 0 0.37 (2) 1.20 (8) 0.035 (2) Cl1 0.1012 (11) 0.8988 (11) 0.2376 (9) 3.68 (11) 1 Cl2 0.2316 (5) 0.7684 (5) 0.7039 (9) 3.68 (11) 1 Cl3 0.4348 (11) 0.5652 (11) 0.2736 (9) 3.68 (11) 1 Na1 0.3525 (8) 0 0 3.0 (2) 0.740 (8) Na2 0.281 (3) 0 0.5 3.0 (2) 0.260 (8)
[0067] As previous studies have shown, the ionic conductivity is not the only metric that determines the overall performance of an SSE for ASSB applications. Finding chemically compatible electrodes is of vital importance for stable, long-term cycling of an ASSB. Chemical and electrochemical stability between the solid electrolyte and electrodes are required for an efficient solid-state battery. Thus, we evaluated the electrochemical and chemical stability of the highest conductive composition, Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6, before testing it in an ASSB.
[0068] Electrochemical stability windows were determined for Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6 as well as the end-member compound NYC and Na.sub.3PS.sub.4 (NPS). The results are shown in Table 4 with the computed reaction Energies (with NaCrO.sub.2 and Na metal) and the electrochemical windows of NYC, Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6, and Na.sub.3PS.sub.4.
TABLE-US-00004 System Reaction energy w/ NaCrO.sub.2 (eV/atom) Reaction energy w/Na (eV/atom) EC window (V) Na.sub.3YCl.sub.6 -0.11 -0.13 0.6-3.8 Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6 -0.14 -0.34 1.5-3.8 Ref: c-Na.sub.3PS.sub.4 -0.18 -0.46 1.2-2.5
[0069] The incorporation of Zr narrows the electrochemical window on the anode side while the upper limit (cathode side) is maintained. This is mainly due to the higher thermodynamic reduction potential of Zr.sup.4+ compared to Y.sup.3+ (the oxidation potential contribution is independent of the metal oxidation state as both Y and Zr are in their highest oxidation state). Compared to the upper voltage stability limit of 2.5 V for NPS, the limit for Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6 is 3.8 V, much more promising for high-voltage Na ASSB applications. In addition, the reaction energies with the NaCrO.sub.2 cathode and with metallic Na were also computed; in each case, the values were found to be less negative than for NPS. This suggests that NYZC is a promising SSE candidate for its superior electrochemical and chemical stability when in contact with common electrode materials. In addition, the grand potential phase diagram of Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6 was computed to evaluate the stability window and the reaction products at different voltages (
[0070] Experimentally, two test cells composed of a Na—Sn 2:1 alloy anode, a Na.sub.3PS.sub.4 electrolyte, and Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6 mixed with carbon (acetylene black, or AB, in a 70:30 NYZC:AB ratio) cathode were fabricated to determine the lower and upper potential values at which the Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6 SSE is stable; one cell was discharged to 0 V (
[0071] Given the results for the electrochemical window of Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6, to electrochemically evaluate it in an ASSB, the following model system was used: Na—Sn alloy (2:1) for the anode, Na.sub.3PS.sub.4 for the electrolyte, and NaCrO.sub.2 for the cathode. NaCrO.sub.2 was chosen due to its operating voltage of 2-3.6 V, which is within the stability window of Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6. The cathode was mixed into a composite cathode according to the Methods section.
[0072]
[0073]
[0074] In each case, the capacity retention and the observed CE values are very high, the CE values being the highest among all of those reported for Na ASSBs that use a NaCrO.sub.2 cathode. This is a result of negligible oxidative decomposition of Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6 as well as its superior chemical stability against NaCrO.sub.2. It is important to note that NaCrO.sub.2 does not have any protective coating layer, eliminating an additional step in the ASSB fabrication process. The result is similar the one observed in the previously mentioned report of the lithium analog Li.sub.3YCl.sub.6. These cycling results highlight the superior stability obtained by adding Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6 on the cathode side, further corroborating the computational findings.
[0075] To characterize any changes in Na.sub.2.25Y.sub.0.25Zr.sub.0.75Cl.sub.6 after cycling, ASSBs were disassembled to recover the composite cathodes and XPS measurements were conducted.
[0076] As described in the foregoing disclosure, Na.sub.3YCl.sub.6 was computationally and experimentally evaluated for its electrochemical properties and performance. Through aliovalent substitution of Y.sup.3+ by Zr.sup.4+, yielding Na.sub.3-xY.sub.1-xZr.sub.xCl.sub.6, it was found that the Na diffusivity drastically increased, reflected in the ionic conductivity increase by two orders of magnitude (for compositions with x<1). Furthermore, the electrochemical window, especially on the cathode side, was retained even with the incorporation of Zr, and the upper limit of 3.8 V proved to be significantly beneficial especially when using NaCrO.sub.2 as the cathode in a Na ASSB. Through electrochemical results and characterization techniques such as XPS, no significant degradation of NYZC was observed with prolonged cycling.
References (Incorporated Herein by Reference)
[0077] 1. Bachman, J. C. et al. Inorganic Solid-State Electrolytes for Lithium Batteries: Mechanisms and Properties Governing Ion Conduction. Chem. Rev. 116, 140-162 (2016).
[0078] 2. Lau, J. et al. Sulfide Solid Electrolytes for Lithium Battery Applications. Adv. Energy Mater. 8, 1800933 (2018).
[0079] 3. Richards, W. D., Miara, L. J., Wang, Y., Kim, J. C. & Ceder, G. Interface Stability in Solid-State Batteries. Chem. Mater. 28, 266-273 (2016).
[0080] 4. Tan, D. H. S. et al. Elucidating Reversible Electrochemical Redox of Li6PS5Cl Solid Electrolyte. ACS Energy Lett. 4, 2418-2427 (2019).
[0081] 5. Banerjee, A. et al. Revealing Nanoscale Solid-Solid Interfacial Phenomena for Long-Life and High-Energy All-Solid-State Batteries. ACS Appl. Mater. Interfaces 11, 43138-43145 (2019).
[0082] 6. Tang, H. et al. Probing Solid-Solid Interfacial Reactions in All-Solid-State Sodium-Ion Batteries with First-Principles Calculations. Chem. Mater. 30, 163-173 (2018).
[0083] 7. Asano, T. et al. Solid Halide Electrolytes with High Lithium-Ion Conductivity for Application in 4 V Class Bulk-Type All-Solid-State Batteries. Adv. Mater. 30, 1803075 (2018).
[0084] 8. Li, X. et al. Air-stable Li .sub.3 InCl .sub.6 electrolyte with high voltage compatibility for all-solid-state batteries. Energy Environ. Sci. 12, 2665-2671 (2019).
[0085] 9. Wang, Y. et al. Development of solid-state electrolytes for sodium-ion battery-A short review. Nano Mater. Sci. 1, 91-100 (2019).
[0086] 10. Banerjee, A. et al. Na3SbS4: A Solution Processable Sodium Superionic Conductor for All-Solid-State Sodium-Ion Batteries. Angew. Chem. Int. Ed. 55, 9634-9638 (2016).
[0087] 11. Nguyen, H. et al. Experimental and Computational Evaluation of a Sodium-Rich Anti-Perovskite for Solid State Electrolytes. J. Electrochem. Soc. 163, A2165-A2171 (2016).
[0088] 12. Richards, W. D. et al. Design and synthesis of the superionic conductor Na10SnP2S12. Nat. Commun. 7, 1-8 (2016).
[0089] 13. Park, K. H. et al. Solution-derived glass-ceramic NaI.Math.Na3SbS4 superionic conductors for all-solid-state Na-ion batteries. J. Mater. Chem. A 6, 17192-17200 (2018).
[0090] 14. Hayashi, A. et al. A sodium-ion sulfide solid electrolyte with unprecedented conductivity at room temperature. Nat. Commun. 10, 1-6 (2019).
[0091] 15. Deng, Z., Wang, Z., Chu, I.-H., Luo, J. & Ong, S. P. Elastic Properties of Alkali Superionic Conductor Electrolytes from First Principles Calculations. J. Electrochem. Soc. 163, A67-A74 (2016).
[0092] 16. Chu, I.-H. et al. Room-Temperature All-solid-state Rechargeable Sodium-ion Batteries with a Cl-doped Na 3 PS 4 Superionic Conductor. Sci. Rep. 6, 1-10 (2016).
[0093] 17. Lacivita, V., et al.,. Ab initio investigation of the stability of electrolyte/electrode interfaces in all-solid-state Na batteries. J. Mater. Chem. A 7, 8144-8155 (2019).
[0094] 18. Kresse, G. & Furthmüller, J. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. Phys. Rev. B 54, 11169-11186 (1996).
[0095] 19. Blochl, P. E. Projector augmented-wave method. Phys. Rev. B 50, 17953-17979 (1994).
[0096] 20. Perdew, J. P., et al., Generalized Gradient Approximation Made Simple. Phys. Rev. Lett. 77, 3865-3868 (1996).
[0097] 21. Ong, S. P. et al. Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis. Comput. Mater. Sci. 68, 314-319 (2013).
[0098] 22. Deng, Z., et al., Data-Driven First-Principles Methods for the Study and Design of Alkali Superionic Conductors. Chem. Mater. 29, 281-288 (2017).
[0099] 23. Jain, A. et al. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation. APL Mater. 1, 011002 (2013).
[0100] 24. Ong, S. P. et al. The Materials Application Programming Interface (API): A simple, flexible and efficient API for materials data based on REpresentational State Transfer (REST) principles. Comput. Mater. Sci. 97, 209-215 (2015).
[0101] 25. Bergerhoff, G., et al., The inorganic crystal structure data base. J. Chem. Inf. Comput. Sci. 23, 66-69 (1983).
[0102] 26. Hautier, G., et al., Data Mined Ionic Substitutions for the Discovery of New Compounds. Inorg. Chem. 50, 656-663 (2011).
[0103] 27. Jain, A. et al. A high-throughput infrastructure for density functional theory calculations. Comput. Mater. Sci. 50, 2295-2310 (2011).
[0104] 28. Willems, T. F., et al., Algorithms and tools for high-throughput geometry-based analysis of crystalline porous materials. Microporous Mesoporous Mater. 149, 134-141 (2012).
[0105] 29. Jónsson, H., et al., Nudged Elastic Band Method for Finding Minimum Energy Paths of Transitions. in (1998). doi:10.1142/9789812839664_0016.
[0106] 30. Shapeev, A. V., Moment Tensor Potentials: A Class of Systematically Improvable Interatomic Potentials. Multiscale Model. Simul. 14, 1153-1173 (2016).
[0107] 31. Podryabinkin, E. V. & Shapeev, A. V. Active learning of linearly parametrized interatomic potentials. Comput. Mater. Sci. 140, 171-180 (2017).
[0108] 32. Gubaev, K., et al., Accelerating high-throughput searches for new alloys with active learning of interatomic potentials. Comput. Mater. Sci. 156, 148-156 (2019).
[0109] 33. Plimpton, S. Fast parallel algorithms for short-range molecular dynamics. https://www.osti.gov/biblio/10176421 (1993) doi:10.2172/10176421.