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. 2020 Feb 18;124(10):1965–1977. doi: 10.1021/acs.jpcb.9b10795

Molecular Structure, Chemical Exchange, and Conductivity Mechanism of High Concentration LiTFSI Electrolytes

Susith R Galle Kankanamge 1, Daniel G Kuroda 1,*
PMCID: PMC7307920  PMID: 32069048

Abstract

graphic file with name jp9b10795_0011.jpg

High concentration lithium electrolytes have been found to be good candidates for high energy density and high voltage lithium batteries. Recent studies have shown that limiting the free solvent molecules in the electrolytes prevents the degradation of the battery electrodes. However, the molecular level knowledge of the structure and dynamics of such an electrolyte system is limited, especially for electrolytes based on typical organic carbonates. In this article, the interactions and motions involved in lithium bis(trifluoromethanesulfonyl)imide in carbonyl-containing solvents are investigated using linear and time-resolved vibrational spectroscopies and computational methods. Our results suggest that the overall structure and the speciation of the three high concentration electrolytes are similar. However, the cyclic carbonate-based electrolyte presents an additional interaction as a result of dimer formation. Time-resolved studies reveal similar and fast dynamics for the structural motions of solvent molecules in electrolytes composed of linear molecules, while the electrolyte made of cyclic solvent molecules shows slower structural changes as a result of the dimer formation. Additionally, a picosecond time scale process is observed and assigned to the coordination and decoordination of solvent molecules from a lithium-ion solvation shell. This process of solvent exchange is found to be directly correlated to the making and breaking of structures between the lithium-ion and the anion and, consequently, to the conduction mechanism. Overall, our data show that the molecular structure of the solvent does not significantly affect the speciation and distribution of the lithium-ion solvation shells. However, the presence of dimerization between solvent molecules of two neighboring lithium-ions appears to produce a microscopic ordering that it is manifested macroscopically in properties of the electrolyte, such as its viscosity.

Introduction

The use of lithium-ion (Li-ion) batteries has gained widespread application in several fields including automobile and energy storage grids due to the high capacity and efficiency of this energy storage technology.13 However, a battery having high energy density, high voltage, and fast charging rate is yet to be developed. New concepts and modifications to the chemistry of lithium-ion batteries have been introduced to enhance their performance.47 In particular, there has been a wave of new developments focused on the electrolyte.816 The electrolyte is one of the main components in a typical electrochemical cell because it is the medium where the charge transport between the electrodes occurs. Moreover, in Li-ion batteries, the electrolyte is responsible for forming the protective interface between the electrolyte and anode.1721 Thus, changes on the electrolyte can significantly affect the properties and performance of the overall battery. Recent studies have shown the feasibility of using high concentration electrolytes for the development of high voltage and high energy density Li-ion batteries.810,2224

The concentration of the lithium salt in a conventional Li-ion battery is typically ∼1 M and is primarily dictated by its conductivity.25 While increasing the salt concentration decreases the overall conductivity of the electrolyte, a high concentration electrolyte has been shown to possess a better thermal stability than its low concentration counterpart, which is an advantage from a safety perspective.8,26 Currently, in commercial Li-ion batteries, solid electrolyte interphase (SEI) is formed by the decomposition of solvent molecules during the first few cycles to prevent the degradation of the electrodes.1721 In particular, it was found that the formation of a stable SEI on the cathode prevents the degradation of the electrodes at high voltage, which occurs due to the presence of excess free solvent molecules in the ∼1 M electrolyte.2629 This particular problem is avoided in a high concentration electrolyte because of its limited amount of free solvent molecules prevents the deterioration of the electrodes.8,9,13,26 In addition, the large concentration of anions in the high concentration electrolytes contributes to the formation of a stable SEI.10,26

High concentration electrolytes are simply made by dissolving lithium salts in high dielectric solvents.8,9 Using this recipe, many studies have demonstrated that the molecular characteristics of the anion and solvent are critical for making the electrolytes because they significantly affect the electrolyte properties such as conductivity and electrochemical stability.8,10 On the anion side, it is now known that multidentate anions with large charge delocalization are needed.25 Two anions that possess all the aforementioned properties are bis(trifluoromethanesulfonyl)imide (TFSI) and bis(fluorosulfonyl)imide (FSI). On the solvent side, different solvents have been used for this purpose, and some examples are water,30 acetonitrile,22 dimethylcarbonate,8 and dimethoxyethane.9 So far, it has been difficult to predict the macroscopic properties of the electrolyte in terms of its constituents largely due to the lack of a microscopic map detailing the arrangements and interactions occurring in these systems.

The structure and interactions of the molecular components (i.e., solvent, lithium salt ions) in high concentration electrolytes composed of organic solvents have been hardly investigated experimentally3133 and computationally.34 Henderson and co-workers derived the structure and interaction of TFSI and Li+ in concentrated electrolytes by analyzing the crystal structure of solvates as a function of the solvent molecular structure.3540 These studies revealed the existence of two TFSI conformations (cisoid [C1] and transoid [C2]), which only differ by the relative positions of the −CF3 groups.41 Moreover, it was found out that the type of the anion conformation governs the coordination with the lithium center.41 For example, the transoid conformation is observed for solvent-separated ion pairs, while cisoid conformation is found when TFSI is directly coordinated to Li+.41 Whereas TFSI coordinates to Li+ in different ways depending on the structure formed (i.e., solvent-separated ion pairs [SSIP], contact ion pairs [CIP], and aggregates [AGG]), the solvent coordination to the cation always occurs via the carbonyl oxygen for carbonyl-containing solvents.40 Therefore, it has been deduced that the interactions observed in solvates should be maintained in high concentration electrolytes.33,35,42 However, the chemical structure of the liquid electrolytes might be significantly different from that of the solid solvate due to the higher number of degrees of freedom in the liquid. Moreover, Watanabe and co-workers previously demonstrated that the structure of the high concentration electrolyte resembles more an ionic liquid than a traditional high concentration solution.42,43 Interestingly, while a few studies have been conducted to explore experimentally the structure parameters in high concentration electrolytes, none of them provided direct insights into the structure and dynamics of high concentration electrolytes.

In this work, we investigated the structure and dynamics of high concentration electrolytes compose of LiTFSI salt and one-carbonyl-containing solvents (MP, DMC, or BC) (Scheme 1) using IR spectroscopic and theoretical methods. Our experimental efforts focused on the carbonyl stretch of the solvents because it is a good reporter of both the structure and dynamics.37,4450 Moreover, the use of time-resolved 2DIR spectroscopy allowed us to obtain direct information about the different molecular processes in picosecond time scale occurring in the different electrolytes.51 In addition, the experimental observations were complemented with DFT calculations and classical molecular dynamics simulations to interpret and corroborate our experimental findings.

Scheme 1. Chemical Structure of (a) Methyl Propionate (MP), (b) Dimethylcarbonate (DMC), (c) 1,2-Butylenecarbonate (BC), (d) Lithium Bis(trifluoromethanesulfonyl)imide (LiTFSI), and (e) Lithium Bis(fluorosulfonyl)imide (LiFSI).

Scheme 1

Methodology

Sample Preparation

Lithium bis(trifluoromethylsulfonyl)imide (LiTFSI, LiN(SO2)2(CF3)2, >98%) was obtained from Alfa Aesar and dried at 130 °C for 24 h before use. Methyl propionate (MP, C4H8O2, >99%) and dimethyl carbonate (DMC, C3H6O3, 99%) were obtained from Acros Organics, and 1,2-butylene carbonate (BC, C5H8O3, 98%) was obtained from TCI Chemicals. All solvents were dried with 1–2 mm molecular sieves for 24 h prior to use. Solutions of LiTFSI in each solvent at 1:1.5, 1:2, and 1:3 Li+:solvent molar ratios were prepared by simply mixing the components inside a N2-filled glovebox at room temperature. After preparation, all the samples contained less than 150 ppm of water.

The cell (Harrick Scientific) for the FTIR experiments consisted of the sample sandwich between a pair of 2 mm calcium fluoride windows without a spacer. For the 2DIR experiments, the sample cell consisted of the sample between a CaF2 convex lens (focal length 1 m and path length >500 nm) and a 2 mm regular window. Detailed information on the lens sample cell can be found in ref (44).

Linear IR Spectroscopy

Fourier transform infrared (FTIR) experiments were performed using a Bruker Tensor 27 spectrometer with 0.5 cm–1 resolution and liquid nitrogen-cooled narrow band MCT detector. All samples were measured in transmission mode. Each FTIR spectrum was recorded as an average of 40 individual scans at 25 °C.

Two-Dimensional IR Spectroscopy

Two dimensional infrared experiments were performed using a similar setup that was previously described in the literature.52 Briefly, Ti:sapphire amplifier (Spectra Physics Mai Tai and Spitfire) with a 5 kHz repletion rate was coupled to an optical parametric amplifier (Spectra Physics, 800C) and a difference frequency generation crystal (AgGaS2) to produce ∼60 fs broadband infrared pulses. The generated pulses were split into three identical pulses (k1, k2, and k3) and later focused on the sample with a boxcar configuration.51 The time intervals, τ (time between the first pulse and the second pulse), Tw (time between the second and the third pulse), and t (time between the third pulse and the photon echo), were controlled with four computer-controlled translational stages (PI Micos). The generated photoecho with pulses with parallel polarization (⟨XXXX⟩) in the phase-matching direction (−k1 + k2 + k3) was heterodyned with a fourth pulse (local oscillator) and later dispersed by a Triax monochromator. Finally, the nonlinear signal and local oscillator were detected with a liquid nitrogen-cooled 64 element MCT array detector (Infrared Systems Developments). Here, 2D IR data were collected by scanning τ time from −3 ps to +3 ps in increments of 5 fs for each waiting time in order to collect both the rephasing and nonrephasing data by switching the time ordering.51 Signals were collected for waiting times from 0 to 6 ps in steps of 0.5 ps with an additional measurement at 250 fs. In all the measurements, the local oscillator always preceded the photon echo signal by ∼0.5 ps. The time domain signal, collected as a function of (τ, T, λt) via a monochromator-array detection, is transformed into the 2DIR spectra (ωτ, T, ωt) by means of Fourier transforms. A detailed explanation of the Fourier analysis has been described elsewhere.53

Ionic Conductivity and Viscosity Measurements

The ionic conductivity of the electrolytes was measured using a YSI 3200 conductivity meter combined with YSI 3250 cell probe. The temperature of the solutions was recorded with the integrated temperature probe of the cell probe. The viscosity of the solutions was measured using a Brookfield DV-II+pro viscometer.

Density Functional Theory Calculations

Density functional theory (DFT) calculations were performed using the Gaussian 09 software, and the 6-311++G** basis set was used at the B3LYP level of theory.54 One lithium-ion with one TFSI-ion and one lithium-ion with two TFSI-ions were geometrically optimized separately for three different solvents, DMC, MP, and BC, where the number of solvent molecules interacting with the lithium center was selected from 1 to 2. All DFT computations present in the main text were performed in the gas phase. The vibrational frequencies of each system were calculated, and no imaginary frequencies were observed indicating that the system was in a minimum of energy.

Molecular Dynamics Simulations

Classical molecular dynamics (MD) simulations were performed using SANDER module of the AMBER 16 program package.55 Simulations were only performed on the cyclic carbonate-based electrolyte since the other two molecules have conformational isomers which required a more precise description of the system. The BC and LiTFSI were modeled using the general AMBER force field (GAFF), and a charge scaling factor of 0.8 was used to correct the overestimate of electrostatic point charge.56 Moreover, the nonbonding parameters of the lithium-ion were modified according to the values presented in ref (57). Packmol software package was used to build the electrolyte system in a cubic box of 30 × 30 × 30 Å with the LiTFSI to BC ratio of 1:2. Periodic boundary conditions were imposed in the simulation. Particle mesh Ewald methodology was used to describe the long range electrostatic interaction with the cutoff of 12 Å. The SHAKE algorithm was used to constrain the bonds involving hydrogen. In the simulation, the system was initially energy-minimized for 200 steps using the steepest descent method followed by 300 steps of conjugated gradient method. After the minimization, the system was equilibrated at 500 K in an isothermal–isobaric ensemble (NPT) for 5 ns with a time step of 2 fs. The system was cooled down with another NPT run at 300 K for 3 ns. The Langevin thermostat was used in both NPT runs. The density of the system was used to check that the system has reached equilibrium. Finally, the system was equilibrated in canonical ensemble (NVT) for 1 ns with a time step of 2 fs before performing the production run at the microcanonical ensemble (NVE). The production run was recorded for 10 ns in 100 fs steps.

Results

The characterization of the solvation of LiTFSI at high concentrations in different solvents (i.e., MP, DMC, and BC) was first performed using linear IR spectroscopy. These experiments focused on the carbonyl stretch of the solvent molecules located in the 1700–1820 cm–1 region of the IR spectrum. The IR spectra of LiTFSI in MP (Figure 1) as a function of the Li+:solvent ratio show two main bands centered at ∼1714 and ∼1741 cm–1, where the band located at higher frequency decreases as the salt concentration increases. The high frequency band is assigned to the free carbonyl stretch mode while the low frequency band is assigned to the coordinated carbonyl stretch mode, which is in agreement with previous assignments.44,45,47,58,59 The difference spectra, using the 1:3 ratio spectrum as a reference, shows a third band growing between the two main bands as the Li+ concentration increases. Simultaneously, two negative peaks appear on either side of the positive peak. While the negative peak at high frequency is caused by a decrease of free carbonyl band, the negative peak at low frequency is likely the product of a frequency shift and bandwidth change in the coordinated peak possibly due to a change in the dielectric constant of the solution60 and/or changes in the dynamics of the solution with concentration.44 The three proposed bands in the FTIR spectrum are also in agreement with the second derivative of the spectrum (see the Supporting Information). A similar pattern is observed for LiTFSI in the other two solvents (Figure 1) where the coordinated and free bands are located at ∼1724 and ∼1756 cm–1 in DMC and at ∼1777 and ∼1814 cm–1 in BC. These observed changes in the FTIR spectra with salt concentration follow the trends previously seen for the carbonyl stretch of BC and DMC.44 However, the intensity of the higher frequency peak and the separation between two observed peaks differ for DMC and BC when compared to MP. Overall, the frequency separation between the peaks follows the trend Δν(BC) > Δν(DMC) > Δν(MP). In addition, the difference spectra of both DMC and BC solutions show the growth of a band in between the low and high frequency bands in close similarity to that of the MP electrolytes. However, the spectra differ significantly in the width of the carbonyl stretch, which is clearly broader for BC than for the other two solvents. Finally, the spectra of the BC electrolyte show an extra peak, which rises with increasing salt concentration and appears on the lower frequency side of the main band (∼1731 cm–1).

Figure 1.

Figure 1

FTIR spectra of LiTFSI in (a) MP, (c) DMC, and (e) BC at Li+:solvent ratio of 1:3 (black), 1:2 (blue), and 1:1.5 (red). (b), (d), and (f) Difference spectra with respect to the 1:3 ratio mixture for MP, DMC, and BC solvent, respectively. Arrows mark the positions of the less visible peaks as discussed in the text.

The molecular structure and dynamics of the high concentration electrolytes were also investigated by means of 2DIR spectroscopy. Figure 2 shows the 2DIR spectra collected at different waiting times (Tw) for the 1:2 molar ratio solutions. The 2DIR spectrum for the MP electrolyte at Tw = 0 ps shows a pair of peaks along the diagonal line where the red contoured peak (positive) [at ωτ, ωt = ∼1713, ∼1710] arises from the transitions between the ground and first excited vibrational states (v = 0 ↔ 1), while the blue contoured peak (negative) [at ωτ, ωt = ∼1713, ∼1693] appears due to the transition between first and second excited vibrational states (v = 1 → 2). The blue peak is downshifted by ∼17 cm–1 with respect to the red peak due to the anharmonicity of the carbonyl stretch potential and is in agreement with previous studies.44 As in the IR spectra (Figure 1), the coordinated and free carbonyl bands for MP and BC are not resolved in the 2DIR spectra for any of the studied waiting times. In contrast, the DMC spectrum at Tw = 0 ps shows the same two peaks observed in the FTIR spectra (Figure 1).

Figure 2.

Figure 2

2DIR spectra of LiTFSI in MP, DMC, and BC of 1:2 Li+:solvent ratio at different waiting times. The positions of the cross peaks are marked in black circles (chemical exchange) and blue circles (vibrational coupling).

The Tw evolution of the 2DIR spectra (Figure 2) suggests that the carbonyl stretch modes experience significant changes with time in all samples. Initially, at Tw = 0 ps, all samples have peaks elongated along the diagonal line, but as Tw progresses the shape of the peaks becomes more upright manifesting the spectral diffusion process.51 However, not all the electrolytes show the same time evolution. For example, the peaks at Tw = 6 ps remain fairly elongated for the BC electrolyte compared to MP and DMC electrolytes. Furthermore, a substantial difference is observed in Tw dependence of 2DIR spectra due to the growth of off-diagonal features (i.e., cross peaks). In the MP electrolyte, the presence and growth of cross peaks at [ωτ, ωt = ∼1713, ∼1741] and [ωτ, ωt = ∼1741, ∼1713] are only evident at longer waiting times, while for the DMC electrolyte, a cross peak appears at Tw = 0 ps at [ωτ, ωt = ∼1736, ∼1748] indicating the presence of vibrationally coupled transitions between the symmetric and asymmetric modes of Li(TFSI)2(DMC)2.4446,61 In addition, the 2DIR spectra of the DMC electrolyte show the appearance and growth of additional cross peaks at [ωτ, ωt = ∼1724, ∼1756] and [ωτ, ωt = ∼1756, ∼1724] with waiting time, which is similar to the 2DIR spectral evolution observed for the MP electrolyte. In the case of the BC electrolytes, the 2DIR spectrum at Tw = 0 ps shows a cross peak between the lower part of the main band and the isolated lower frequency band, but it does not appear to show changes in intensity with Tw. Additionally, the 2DIR spectra of the BC solution presents three other cross peaks at [ωτ, ωt = ∼1777, ∼1814], [ωτ, ωt = ∼1814, ∼1777], and [ωτ, ωt = ∼1757, ∼1777], which grow with the waiting time.

Discussion

It has been previously shown that the preferred coordination number for Li+ is four.17,44,49,6274 It is also known that in dilute organic-based electrolytes, Li+ exists as free ions, solvent-separated ion pairs, contact ion pairs, and aggregates,46,75,76 but the number of solvent molecules and Li+ ionic speciation directly depends on the availability of solvents in the electrolyte system. In the case of high concertation electrolytes, the ratio of solvent molecules to Li+ is lower than four; and it is expected that Li+ will not be fully solvated by four solvent molecules. In addition, it has been previously demonstrated that high concentration lithium salt solutions in organic solvents do not tend to form nanoheterogeneous structures.77 Therefore, it is expected that this solution will be more homogeneous at the microscopic level, where Li+ forms extended aggregates with the anion, and the solvent molecules will interact with Li+ to fulfill its coordination number of four.26,63,78 This structure is reminiscent of that previously seen in lithium solvates.3638,41 Thus, the formation of lithium centers with one or two solvent molecules in its solvation shell is likely to occur in large proportion in solutions with 1:2 molar ratio, while lithium centers containing more than two solvent molecules should have low occurrences. On the anion, the limited availability of solvent molecules at 1:2 molar ratio forces TFSI to adopt both bidentate and monodentate coordinations with Li+ and to coordinate more than lithium center to fulfill the Li+ coordination number of four, as previously seen in the crystal structure of LiTFSI and ethylene carbonate solvates.26 Thus, it is reasonable to assume that the FTIR spectra should have the spectral signature corresponding to the different coordinating species (Scheme 2): Li(TFSI)1(Solvent)2, Li(TFSI)2(Solvent), and Li(TFSI)2(Solvent)2.

Scheme 2. (a) Li(TFSI)1(Solvent)2, (b) Li(TFSI)2(Solvent), and (c) Li(TFSI)2(Solvent)2.

Scheme 2

The FTIR spectra as a function of concentration (Figure 1) show the rise and disappearance of different bands. In particular, all the solvents show more than one band at the ratio of [Li+:solvent] = 1:1.5. However, the presence of multiple bands could arise from the strong vibrational coupling between carbonyl stretches of two solvent molecules coordinating the same lithium center, such as in the case of Li(TFSI)1(Solvent)2 and Li(TFSI)2(Solvent)2, which split the transition in two.58 This splitting is a consequence of having two strongly coupled and degenerated transitions. The vibrational Hamiltonian of vibrationally coupled carbonyl stretches is represented by

graphic file with name jp9b10795_m001.jpg 1

where ω10 is the frequency of the two carbonyl stretches coordinating Li+ in the site representation, and β(t) and δωj(t) are the coupling constant and the frequency fluctuation of the jth site, respectively. For this vibrational Hamiltonian, the frequencies of the mixed states are given by

graphic file with name jp9b10795_m002.jpg 2

where ω± represent the frequencies of the symmetric (+) and asymmetric (−) stretches. In the case of small frequency fluctuations, the solution reduces to

graphic file with name jp9b10795_m003.jpg 3

which demonstrates the splitting of the two degenerate transitions.

The presence of more than one peak in the FTIR band cannot be simply assigned to different species. To disentangle the IR carbonyl signatures, the stretching frequencies for the possible solvation shells of Li+ were computed using DFT. As predicted, the calculated vibrational transitions (Figure 3) show that the solvation shells containing two solvent molecules (i.e., Li(TFSI)1(Solvent)2 and Li(TFSI)2(Solvent)2) have two well-separated transitions in the carbonyl stretch region due to the vibrational coupling. Interestingly, the transition dipole magnitudes of carbonyl stretches are not equal for Li(TFSI)2(Solvent)2 of the different solvents. For example, the DMC and MP structures show a difference in the transition dipole magnitude for the two carbonyl vibrational modes, while in the BC species, dipoles are almost equal. Moreover, the computations demonstrate that the number and coordination of TFSI in the Li+ solvation shell define the overall central frequency of the carbonyl stretch transitions (Figure 3). This last result is expected since the additional TFSI lowers the overall charge density of the lithium-ion and diminishes its influence over the carbonyl groups. Finally, the separation between the transitions corresponding to the solvation shell containing two solvent molecules (i.e., structures of the form Li(TFSI)x(Solvent)2) appears to be governed by the chemical structure of the solvent. It is important to note that similar trends in vibrational frequency positions and intensities are observed when a polarizable dielectric medium is used (see the Supporting Information).

Figure 3.

Figure 3

DFT frequency calculations of MP (left), DMC (middle), and BC (right) with different geometries. The top panels represent the frequencies of the coupled transitions of two carbonates which are coordinated to LiTFSI complex. The middle plots correspond to the geometry of a single carbonate coordinated to Li(TFSI)2 complex. The bottom panels show the coupling of two carbonates which are coordinated to Li(TFSI)2 complex. For BC, coupled frequencies of the two carbonates with opposing dipole direction are calculated (brown dashed lines). The frequency of the free solvent molecule is denoted with □ in each plot.

The computed DFT frequency separations and transition dipole magnitudes for the carbonyl stretch transitions in the different Li+–solvent complexes appear to explain the overall carbonyl stretch line shape and its concentration dependence. First, the frequency separations between Li(TFSI)2(Solvent)2 and Li(TFSI)1(Solvent)2 justify the bandwidth of the carbonyl stretch bands because of the similarity between the frequency separation and the experimental line width trends (i.e., Δν(BC) > Δν(DMC) ≈ Δν(MP)). Second, the computations predict that the carbonyl band of Li(TFSI)2(Solvent)1 should be located in between the free and the Li(TFSI)1(Solvent)2 species. The peak corresponding to the Li(TFSI)2(Solvent)1 is definitely seen in all samples as a growing peak when the Li+:solvent ratio is increased from 1:3 to 1:1.5. Third, the position of the Li(TFSI)1(Solvent)2 carbonyl band is predicted to have the lowest frequency position of the three species. The position of this species explains why the maxima location of the carbonyl band remains unaltered for the investigated Li+:solvent ratio since Li(TFSI)1(Solvent)2 is the most likely species to be formed at 1:3 to 1:1.5 ratios. Finally, the peak at the highest frequency, which decreases when the Li+ concentration is increased, corresponds to “free” solvent molecules. While it sounds counterintuitive to propose the presence of free solvent molecules in such high concentrated solution, the molecular interactions in these solutions are strongly dictated by the ion–ion43 and weakly constrained by ion–solvent interactions.43 In this particular case, the existence of free solvent molecules evidence the presence of intermediate states in which a solvent molecule diffuses in and out from a lithium center, as it hops between different Li+ centers. This band assignment is in agreement with the observation of a fast coordination/decoordination of solvent molecules in these high concentration electrolytes (see below).

The Li+ solvation shell deduced from the FTIR and DFT computations is also in agreement with the MD simulation. The integrated g(r) for the Li+–O(TFSI) is ∼3.4 at 3.55 Å (Figure 4), indicating that on average more than one TFSI coordinates with a lithium center. In other words, TFSI has both bidentate and monodentate coordination with Li+. The bidentate coordination of TFSI to Li+ results in a TFSI conformation where its nitrogen atom points away from the lithium center. As a result, the nitrogen atom is positioned closer to a different lithium center (Figure 4). The g(r) of Li–N(TFSI) confirms the bidentate arrangement through the presence of two peaks at 4.45 and 2.85 Å, where the latter accounts for the low probability of finding the nitrogen atom pointing away from one lithium center (Figure 4). The complete coordination structure of Li+ is derived from the g(r) of Li–O(carbonyl) (Figure 4). The integrated g(r) shows that on average 2.5 BC molecules coordinate each Li+. Note that the coordination number of BC exceeds the Li+:solvent molar ratio of the system due to the sharing of BC molecules between different lithium centers (Figure 4). Thus, the Li+ solvation shell arrangement derived from the MD simulations agrees with the presence of the previously proposed species; i.e., Li(TFSI)1(Solvent)2, Li(TFSI)2(Solvent), and Li(TFSI)2(Solvent)2.

Figure 4.

Figure 4

Radial distribution function, g(r), and the integrated g(r) obtained from MD simulations for (a) Li–OTFSI, (b) Li–NTFSI, (c) Li–Ocarbonyl, and (d) Li–Li.

Another important feature observed in the FTIR spectra (Figure 1) as well as 2DIR spectra (Figure 2) is the low frequency band in the BC sample. This band rises when the Li+ concentration is increased. This lowest frequency band in the BC carbonyl spectrum was previously observed in Li+ solutions of BC and was attributed to the formation of ion pairs and aggregates.44 However, the solution of Li+ with TFSI as the counterion at 1:2 molar ratio of Li+:solvent also shows this band (Figure 1). Therefore, the peak appearing at the lower frequency side of the carbonyl band is not likely to arise from the carbonyl groups interacting with a single Li+, but from carbonyl groups of two different and adjacent Li+ centers forming a dimer (Scheme 3). The dimer formation by BC carbonate molecules in the solvation shell of Li+ is not new since it has been previously observed in a LiTFSI:EC solvate26 and predicted theoretically in another cyclic carbonate, propylene carbonate.79 In the solvate structure, two EC molecules coordinating two different lithium centers are observed to be an arrangement where both EC molecules are almost parallel to each other but with their dipoles are pointing in opposite directions.26 This type of structure was predicted to have a stabilization energy of ∼20 kJ/mol.79 The DFT-calculated frequencies of the dimeric BC structure (dashed lines Figure 3) are in agreement with the assignment of the low frequency band in the FTIR spectra. Therefore, it is proposed that the dimeric BC structures between two different Li+ are the cause of the low frequency band in high concentration BC electrolytes. In addition, the high transition dipole predicted for the dimer transition and the small area of the dimmer band observed experimentally demonstrate the small occurrence of such a structure in the BC electrolyte. The assignment of this low frequency band to a dimer is also consistent with the 2DIR spectra where a cross peak between this band and the main carbonyl band of BC at Tw = 0 ps (Figure 2 at [ωτ, ωt = ∼1732, ∼1767]) is observed. This cross peak arises from the vibrational coupling between the high intensity dimer transition and the other two carbonyl groups solvating Li+ which do not form the dimer (Scheme 3).

Scheme 3. Proposed Structure of the BC Dimer.

Scheme 3

Broad black lines represent the coordination of Li+ with either solvent molecules or anions.

The presence of the BC dimer between different Li+ should impose a microscopic ordering to the solution that should manifest macroscopically. Indeed, the viscosity of the BC solutions exhibits the microscopic ordering at the macroscopic level since the electrolyte shows a viscosity more than six times larger than that of the MP and DMC electrolytes (Table 1). The difference between the viscosities of the electrolytes is due to the lack of dimerization in DMC or MP caused by the absence of strictly planar structures in these two linear molecules.80,81 While one can propose that the difference in the viscosity is due to the interaction potential between the solvent molecule and Li+, DFT computations predict similar Li+---solvent energetics for all the solvents (Figure 5). Furthermore, a nonlinear change in viscosity is observed for electrolytes made of a mixture of BC and DMC, while the viscosity changes linearly for electrolytes made of DMC and MP (see the Supporting Information). The nonlinear behavior of the viscosity in the BC–DMC electrolyte evidences the nonideal behavior of the BC–DMC solution due to the existence of the BC–BC dimer interaction, which is not present in the DMC–MP electrolyte. In terms of nonideal solutions, the nonlinear viscosity is a result of the excess free energy caused by the difference in the interaction potential between BC–BC, DMC–DMC, and DMC–BC.

Table 1. Measured Conductivity and Viscosity of LiTFSI in Different Solvents at 1:2 Salt:Solvent Ratioa.

  conductivity (mS·cm–1) viscosity (cP) viscosity–conductivity product
MP 2.3 21.6 49.7
DMC 1.2 53.7 64.9
BC 0.2 323 64.6
a

All the solutions are measured at 25 °C.

Figure 5.

Figure 5

Potential energy scan as a function of the distance between the lithium cation and carbonyl carbon of each solvent: (a) MP, (b) DMC, and (c) BC. The insets represent the Boltzmann distribution in each system.

The results showed so far reveal that ionic and molecular species coordinate simultaneously the different lithium centers in high concentration electrolytes. In addition, the ordering in the molecular structure appears to extend beyond a single Li+ due to the bridging of TFSI and dimer formation only in the case of BC. The dynamics of the molecular components around the lithium center are investigated via 2DIR spectroscopy. In particular, the motions of the solvent molecules are derived from temporal dependence of decorrelation between pump and probe frequencies of the carbonyl stretch in the 2DIR spectra, which is computed by measuring the nodal slope.82 This decorrelation metric is usually assigned to the motions of the environment.51 However, the carbonyl frequencies in coordinated band do not provide direct information on the molecular motions bound to Li+ because the strong coupling gives rise to mixed states (eq 2).44 Thus, the decorrelation of the mixed state frequencies does not have a direct correspondence with individual carbonyl frequency fluctuations, and the FFCF dynamics represent a change in the geometrical structure of the carbonyl groups, i.e., the relative angle or the distance between carbonyl groups.44

The temporal evolution of the slope for the carbonyl band of the three solutions are shown in Figure 6. The slope dynamics show a decay with waiting time for all the samples and are well modeled with a single exponential decay of the form f(t) = y0 + Aet, where τ is the characteristic time of exponential decay. In this model, the exponential decay and the offset (y0) represent two dynamical processes with fast and slow dynamics, respectively. The modeling parameters (Table 2) evidence that MP and DMC have fast decorrelation dynamics with a similar time scale of ∼3 ps, but the amplitude of the slow dynamic component is larger for MP. In contrast, the dynamics for the fast component of the BC electrolyte present an almost linear decay to zero exposing the very slow motions shown by the BC molecules. In all samples, the second component (offset) of the FFCF dynamics is assigned to the interchange between possible arrangements of different Li+ solvation shells. The assignment of slow motions to different solvation shell structures explains the large offset seen for MP and DMC (Table 2) since both molecules have a large number of conformers from their mobile alkyl chains. In addition, the conformational changes in MP and DMC perturb their molecular dipole directions83 creating a large number of different solvent coordination angles or, equivalently, transitions. In contrast, the rigid structure of the cyclic carbonate and the formation of dimers significantly restrict the changes in the dipole direction and structure deformation, respectively. As a result, BC electrolytes present an overall slow dynamics with a negligible slow component.

Figure 6.

Figure 6

Inverse slope (normalized at 250 fs) of the coordinated carbonyl stretch (a) and the cross peak growth (b) of electrolytes made of MP (blue), DMC (black), and BC (green) at 1:2 molar ratio. The exponential fittings are represented with red lines.

Table 2. Calculated Characteristic Time of the Slope and the Cross Peak Growth.

  slopea
cross peak growth
A τ (ps) y0 B τc (ps) z0
MP 0.50 ± 0.02 2.8 ± 0.5 0.59 ± 0.03 0.26 ± 0.07 9 ± 3 0.27 ± 0.07
DMC 0.62 ± 0.03 3.0 ± 0.4 0.45 ± 0.03 0.12 ± 0.01 3 ± 1 0.15 ± 0.01
BC 1.04 ± 0.01 17.3 ± 0.7 0.12 ± 0.01 5 ± 1 0.13 ± 0.02
a

Dynamics was validated using integrated photon echo shift (see the Supporting Information).

The 2DIR spectra also reveal the presence of cross peaks (Figure 2). While intraband cross peaks originate from vibrational coupling between two or more vibrational modes,84 the cross peaks between vibrational transitions corresponding to different chemical species are caused by chemical exchange.85 In particular, the cross peak between the main carbonyl band and the high frequency band is proposed to arise from solvent molecules coordinating and decoordinating from the lithium center. Note that this mechanism is not similar to that proposed by Cho and co-workers75 because these concentrated solutions are dominated by ion–ion interactions rather than by ion–dipole interactions, as demonstrated by the Watanabe group.43 The dominating ion–ion interactions in the high concentration electrolyte allow us to postulate that the molecular mechanism behind the coordination and decoordination of solvent molecules from Li+ is a consequence of the change in the Li+–TFSI interaction. In particular, the variation in the ion–ion interaction is likely to arise from conformational changes of a nearby TFSI since it has been previously shown that the energetics of the conformational change of TFSI are low and thermally allowed.8688 In other words, the conformational changes of a TFSI are likely to vary the total coordination number of a neighboring lithium center, and as a result, a solvent molecule is expelled from the Li+ solvation shell to reestablish the coordination number of four. However, the expelled or “free” solvent molecule will “rapidly” establish a new interaction with the same or another Li+ due to the close proximity among lithium centers in the high concentration electrolyte (Figure 4). Hence, the existence of cross peaks between coordinated and free carbonyl bands evidences the formation and disappearance of transient states where the solvent molecule is temporally located in between lithium centers.

The proposed mechanism for the cross peaks observed in the 2DIR spectra is validated with the MD simulation. In this mechanism, the hypothesis in which coordination of TFSI affects the number of solvent molecules interacting with the lithium center is first tested. To this end, the correlation between the number of oxygen atoms from BC carbonyl and TFSI sulfone groups is derived from the MD simulations. The results show that the numbers of BC oxygen atoms and TFSI ion are inversely correlated (see the Supporting Information) with a correlation number of 0.73 indicating a strong correlation.89 The observed correlation between the number of species coordinating Li+ demonstrates that the decoordination of one BC molecule from the lithium center is in fact related to the changes in the coordination of TFSI. Thus, a mechanism is proposed consisting of a TFSI coordinating Li+ rearranging to coordinate a different Li+ and triggering the expulsion of the solvent molecule (Scheme 4).

Scheme 4. Molecular Mechanism Giving Rise to the Change in the Coordination of Li+.

Scheme 4

In accordance with the proposed coordination and decoordination model, the intensity of the cross peaks grows as a function of waiting time (Figure 6). Modeling of the cross peak growth with an exponential function reveals that the dynamics of the carbonyl coordination and decoordination process are similar for the three solvent molecules (Table 2). However, it is apparent that MP has a larger time constant than the other two carbonates. To understand the difference in the dynamics, the potential energy between Li+ and a solvent molecule was calculated via DFT computations. Note that these calculations only consider a solvent molecule and a Li+ because according to the mechanism the solvent exchange occurs from the same intermediate state (i.e., Li(TFSI)2(Solvent)2), which is the same for all the samples. The potential energy surfaces of the C=O···Li+ coordinate for all the solvents show a similar potential barrier (Figure 5) indicating that the energetics are not responsible for the difference in the dynamics. However, the C=O···Li+ potential surface reveals that the minimum of the well is less concave for MP than for the other two solvents (Figure 5). In terms of Kramer’s theory, the result demonstrates that MP will have a higher probability of remaining in the well or, equivalently, slow dynamics.90 These theoretical calculations also establish that the trend of the chemical exchange dynamics is defined exclusively by the interaction potential between Li+ and the carbonyl group of the solvent molecule.

The dynamics of the solvent coordination and decoordination process were also derived from the MD simulation. The MD simulations reveal that there is a large variety of solvation shell structures as seen in the histogram of BC carbonyl oxygen atoms in the solvation shell of Li+ (Figure 7). Hence, the chemical exchange rate is obtained from the residence time, which is defined as the time that a solvent molecule resides close to a lithium center.91 In this case, a solvent molecule is considered to be residing with a Li+ if the oxygen of the carbonyl group is within 3.15 Å of Li+. The autocorrelation function of the residence time (R(t)) of all the BC molecules in the trajectory was calculated as ⟨R(t)R(0)⟩. The correlation function (Figure 7) shows a temporal dependence that is well modeled with three exponential decays of the form f(t) = A1et/τ1 + A2et/τ2 + A3et/τ3, where Ai and τi correspond to the amplitude and the characteristic time of the ith dynamical component, respectively. The characteristic times of the autocorrelation, as estimates of the time scale for the chemical exchange process, reveal components with time constants of ∼10 ps, ∼200 ps, and ∼1 ns (see the Supporting Information). While the fast correlation decay confirms that the coordination and decoordination of solvent molecules from the lithium center form a thermally allowed process with a picosecond time constant, the slow decays of the autocorrelation are likely to arise from the low probability of exchanging both solvent molecules simultaneously in agreement with the proposed mechanism (Scheme 4). This result further supports our hypothesis for the chemical exchange being the mechanism for the observed cross peaks between the coordinated and free peak of the carbonyl bands. In addition, the derived time constant for the chemical exchange dynamics is in reasonable agreement with the experimental one.

Figure 7.

Figure 7

(a) Autocorrelation function (black squares) and modeling (red line) of the residence time of O–BC at the cutoff value of 3.15 Å from the lithium center and (b) the histogram of number of oxygen residing within the cutoff value.

The coordination and decoordination of the solvent molecule are consequences of the change in the coordination of TFSI with the lithium center. This mechanism is expected to be the same molecular mechanism that will enable charge transport through the high concentration electrolyte and was previously postulated by the Watanabe group.78,92,93 In particular, it has been proposed that the exchange of the solvent/anion from the lithium centers in a solvent/anion-bridged-structured electrolyte results in a hopping-based (nonvehicular) conduction mechanism in lithium bis(fluorosulfonyl)amide (LiTFS)-based electrolytes.78,93 Hence, we propose that the same type of ionic conduction mechanism exists for the high concentration electrolytes studied here. This proposed conduction mechanism is supported by the high conductivity exhibited by all the electrolytes (Table 1) since a high conductivity is not expected via a vehicular type conduction mechanism in electrolytes dominated by ion–ion interactions.94 In the case of the three investigated electrolytes, the conductivity of the cyclic carbonate-based electrolyte appears to be lower than that of its linear analogues. However, the viscosity-weighted conductivities (Table 1) show similar values, indicating all electrolytes should have the same number of charge carriers.94 Furthermore, it is observed that the MP electrolyte has the lower viscosity-weighted conductivity and the slower chemical exchange dynamics, while DMC and BC have the faster exchange dynamics and the higher viscosity-weighted conductivities. The observed correlation between conductivity and chemical exchange rate arises from the close relationship between the number of TFSI and solvent molecules coordinating the same Li+, as previously demonstrated. In other words, the coordination and decoordination of solvent molecules directly track the change in the TFSI coordination type and number to a lithium center. Thus, the exchange of solvent molecules from Li+ solvation shell directly follows the making and breaking of ionic structures in the high concentration electrolyte, or equivalent, and its conductivity; giving that the change of the TFSI coordination to Li+ is the molecular process most related to the conductivity.

Conclusion

The structural interactions and the motions of three different high concentration electrolytes were investigated. The linear vibrational spectra and DFT calculations suggested that the anions and solvent molecules present a similar coordination with the lithium center in the three electrolytes. The experiments also reveal the presence of multiple anions coordinating with the lithium centers, which creates short-range-ordered clusters in all the electrolytes. The presence of additional interaction in cyclic carbonate-based electrolyte is also demonstrated. This interaction results in the formation of BC dimers from molecules coordinated to different Li+, and gives rise to an additional structural ordering in the BC electrolyte, which is directly seen in its viscosity. Our experiments also reveal that the process of coordination and decoordination of solvent molecules from lithium centers is directly related to the coordination between the anion and the cation. However, the characteristic time of the chemical exchange process is found to be governed by the chemical nature of the solvent molecules. Overall, our experiments reveal the connection between the molecular characteristic of the electrolyte components and indicate that small changes in the solvent–solvent interaction potential have drastic effects on the macroscopic properties of the electrolytes, such as its viscosity.

Acknowledgments

The authors acknowledge financial support from the National Science Foundation (CHE- 1751735) and the LSU Chemistry Department. The authors also acknowledge the High Performance Computing Center at Louisiana State University and the Louisiana Optical Network Initiative (LONI) for computer time.

Supporting Information Available

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jpcb.9b10795.

  • Second derivative of all FTIR spectra (Figure S1), additional 2DIR spectra (Figure S2), DFT frequency calculations in different polarizable mediums (Figure S3), carbonyl stretch frequency as a function of Li–O distance (Figure S4); number of coordinated oxygen of BC vs TFSI ion (Figure S5); viscosity of the 1:2 Li+:solvent in BC/DMC mixture and MP/DMC mixture (Figure S6); DFT frequencies and intensities of different geometries in different solvents (Table S1); characteristic times obtained from photon echo peak shift method (Table S2); characteristic times obtained from autocorrelation of residence time (Table S3); force field validation and cutoff distance explanation (PDF)

The authors declare no competing financial interest.

Supplementary Material

jp9b10795_si_001.pdf (433.8KB, pdf)

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