Keisuke
Shigenobu
a,
Kaoru
Dokko
a,
Masayoshi
Watanabe
b and
Kazuhide
Ueno
*a
aDepartment of Chemistry and Life Science, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan. E-mail: ueno-kazuhide-rc@ynu.ac.jp; Fax: +81-45-339-3951; Tel: +81-45-339-3951
bInstitute of Advanced Sciences, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan
First published on 29th June 2020
The Li+ transference number of electrolytes is one of the key factors contributing to the enhancement in the charge–discharge performance of Li secondary batteries. However, a design principle to achieve a high Li+ transference number has not been established for liquid electrolytes. To understand the factors governing the Li+ transference number tLi, we investigated the influence of the ion–solvent interactions, Li ion coordination, and correlations of ion motions on the Li+ transference number in glyme (Gn, n = 1–4)- and sulfolane (SL)-based molten Li salt solvate electrolytes with lithium bis(trifluoromethansulfonyl)amide (LiTFSA). For the 1:
1 tetraglyme-LiTFSA molten complex, [Li(G4)][TFSA], the Li+ transference number estimated using the potentiostatic polarisation method (tPPLi = 0.028) was considerably lower than that estimated using the self-diffusion coefficient data with pulsed filed gradient (PFG)-NMR (tNMRLi = 0.52). The dynamic ion correlations (i.e., cation–cation, anion–anion, and cation–anion cross-correlations) were determined from the experimental data on the basis of Roling and Bedrov's concentrated solution theory, and the results suggest that the strongly negative cross-correlations of the ion motions (especially for cation–cation motions) are responsible for the extremely low tPPLi of [Li(G4)][TFSA]. In contrast, tPPLi is larger than tNMRLi in the SL-based electrolytes. The high tPPLi of the SL-based electrolytes was ascribed to the substantially weaker anti-correlations of cation–cation and cation–anion motions. Whereas the translational motions of the long-lived [Li(glyme)]+ and [TFSA]− dominate the ionic conduction for [Li(G4)][TFSA], Li ion hopping/exchange conduction was reported to be prevalent in the SL-based electrolytes. The unique Li ion conduction mechanism is considered to contribute to the less correlated cation–cation and cation–anion motions in SL-based electrolytes.
Molten Li salt solvates or liquid electrolytes with nearly saturated Li salt concentrations are also regarded as a prospective electrolyte material for Li secondary batteries; this is because various types of highly concentrated electrolyte systems, ranging from aqueous to non-aqueous and ionic liquid (IL), have shown improved rate capability, long-term cycling stability, and high Coulombic efficiency.5–13 In previous studies, we investigated the Li ion coordination structure and ionic transport properties of two types of molten Li salt solvates:oligoether glyme (CH3O(CH2CH2O)nCH)-14–16 and sulfolane (SL)-based electrolytes.17,18 In the former case, a 1:
1 molar mixture of tetraglyme (G4) and lithium bis(trifluoromethanesulfonyl)amide (LiTFSA) forms a thermally-stable molten Li salt solvate ([Li(G4)][TFSA]) comprising a crown-ether like [Li(G4)]+ complex cation and a TFSA− anion, and it behaves like ILs. [Li(G4)][TFSA] was found to exhibit a Li+-limiting current density one order of magnitude higher than that of a binary mixture electrolyte of IL and Li salt, leading to the enhanced rate capability of the Li/LiCoO2 cell.14,19 In the latter case, i.e., for SL-based molten Li salt solvates, the Li ion is observed to diffuse faster than SL and the anion; this indicates that the Li ion hopping/exchange conduction mechanism contributes significantly to the ionic conduction. A unique chain-like ⋯SL⋯Li+⋯SL⋯Li+⋯ coordination structure was suggested to be involved in the extraordinary Li ion conduction.17 The SL-based molten Li salt solvates showed a better rate capability of the Li/S cell compared with the cell using [Li(G4)][TFSA].18,20
The higher Li+ transference number of the concentrated electrolytes has been considered to be the key reason for the enhanced rate capability of Li secondary batteries. Nevertheless, the relationship between the molecular structure and Li+ transference number remains to be clarified. Furthermore, there is no established guideline for designing liquid electrolytes with a high Li+ transference number. For solid polymer electrolytes, Balsara and Newman systematically studied cross-correlations of ion motions by introducing Stefan–Maxwell diffusion coefficients and their relevance to the Li+ transference number.21–23 Woolf and Harris have also investigated the correlated ion motions in terms of velocity cross-correlation functions for aqueous electrolyte solutions.24 Although a few studies have focused on the ion correlations for Li ion conducting organic electrolyte solutions, recent seminal works based on Onsager reciprocal relations combined with the linear response theory by Roling and Bedrov has revealed the importance of the interionic correlations to the Li+ transference number for molten Li salt solvates.25–27 For [Li(G4)][TFSA], Roling and Bedrov suggested that the strongly anti-correlated ion dynamics were due to the constraint of momentum conservation for the long-lived [Li(G4)]+ complex cation and the TFSA− anion, resulting in an extremely low Li+ transference numbers under anion-blocking conditions.
Here, we studied effect of ion–solvent interactions and Li ion coordination structure on the Li+ transference number for the glyme- and SL-based molten Li salt solvates. The dynamic correlations of ions were also experimentally determined on the basis of Roling and Bedrov's concentrated electrolyte theory.26,27 The relationship between the ionic correlations and Li+ transference number was discussed in relation to Li ion coordination structure and possible ion transport mechanism.
![]() | (1) |
The PFG-NMR method relies on Nernst–Einstein equation, assuming that the ions are completely dissociated and move independently, as postulated for ideal dilute electrolyte solutions. This would not rigorously hold for the molten Li salt solvate electrolytes with extremely high salt concentrations, and therefore, tNMRLi may be dissimilar to the realistic Li+ transference number.
The potentiostatic polarisation combined with electrochemical impedance spectroscopy28,29 is facile and a relatively versatile method, and has been adopted for various electrolytes, ranging from polymeric to liquid systems. The Li+ transference number based on this method (tPPLi) was obtained as follows:
![]() | (2) |
With the results of polarisation current curves (IOhm and ISS) and impedance spectra (Ri,0 and Ri,SS) for the Li symmetric cell as shown in Fig. 1, tPPLi was found to be 0.68 for a 1:
2 molar mixture of LiTFSA and SL ([Li(SL)2][TFSA]). Similarly, tPPLi for [Li(G4)][TFSA] was found to be 0.028. These values reasonably agree with the reported tLi values for [Li(SL)2][TFSA] (0.71
20) and for [Li(G4)][TFSA] (0.026 25 and 0.03 20) determined by very-low-frequency impedance method, confirming the validity of tPPLi measured by the potentiostatic polarisation method.
Here, we studied the influence of ion–solvent interaction and Li ion coordination structure on the Li+ transference numbers for the glyme- and SL-based molten Li salt solvate electrolytes. For the glyme systems, we examined the molten Li salt solvates with different glyme chain lengths (G1 to G4), while adjusting the molar ratio of oxygen atoms of the solvent molecules to Li ions ([O]/[Li+]) to be 4 or 5.16 [Li(SL)2][TFSA] and [Li(SL)3][TFSA] showing a unique Li ion transport via a dominant Li ion hopping/exchange mechanism17,18 were also studied for comparison.
The Li+ transference numbers (tNMRLi and tPPLi) of the molten Li salt solvates are listed in Table 1. Whereas the glyme-based electrolytes showed a relatively high tNMRLi of roughly 0.5–0.6, irrespective of the chain length of the glyme molecules, tPPLi was one order of magnitude lower for [Li(G3)][TFSA] and [Li(G4)][TFSA] with longer glymes compared with those for [Li(G1)2][TFSA] and [Li(G1)(G2)][TFSA] with shorter glymes. This dependence of tPPLi on the chain length appears to be relevant to the classification of the molten Li salt solvates into solvate ionic liquids. [Li(G3)][TFSA] and [Li(G4)][TFSA] were regarded as good solvate ionic liquids considering aspects such as the formation of crown ether-like, long-lived [Li(glyme)]+ complex cation and negligible amounts of uncoordinated glyme; in contrast, the molten Li salt solvates with the shorter glyme, such as [Li(G1)2][TFSA], were classified into concentrated solutions in which the complex cations are not stable owing to a weaker chelate effect.16
Sample | t NMRLi | t PPLi | t MDLi |
---|---|---|---|
[Li(G3)][TFSA] | 0.61 | 0.028 | 0.10 |
[Li(G4)][TFSA] | 0.52 | 0.028 | 0.06 |
[Li(G1)2][TFSA] | 0.54 | 0.35 | 0.30 |
[Li(G1)(G2)][TFSA] | 0.48 | 0.31 | 0.26 |
[Li(SL)2][TFSA] | 0.61 | 0.68 | — |
[Li(SL)3][TFSA] | 0.57 | 0.69 | — |
Molecular dynamics (MD) simulations by Bedrov et al. demonstrated a good correlation between the glyme chain length and the Li+ transference number (tMDLi) of the glyme-based molten Li salt solvates under anion-blocking conditions.26 The tMDLi value decreases with increasing chain length of the glyme from G1 to G4 as seen in Table 1. The general tendency observed in our experimental tPPLi is in accordance with the glyme chain length dependence of tMDLi estimated by Bedrov et al.
Both tNMRLi and tPPLi for the SL-based electrolytes were higher than those of the glyme-based electrolytes. The high tPPLi suggests that the Li salt concentration gradient develops to a lesser extent in the SL-based electrolytes. In the SL-based molten Li salt solvates, the two oxygen atoms of one SL coordinates to two different neighbouring Li ions forming an SL-bridged, chain-like Li ion coordination structure (⋯SL⋯Li+⋯SL⋯Li+⋯).17,18 The unique Li ion coordination structure may play a pivotal role in displaying the high tPPLi as well as the unusual self-diffusion behaviour of Li ions (diffusing faster than SL and TFSA anions).
Another noteworthy aspect in Table 1 is a discrepancy between tNMRLi and tPPLi for each electrolyte. tPPLi was considerably lower than tPPLi for [Li(G3)][TFSA] and [Li(G4)][TFSA]. The recent studies25,26,33,34 suggested that the extremely low tPPLi as compared with tNMRLi for the solvate ionic liquids, [Li(G3)][TFSA] and [Li(G4)][TFSA], is attributable to the remarkable anti-correlated motions of the ions, which is a consequence of the constraint of momentum conservation for the long-lived [Li(glyme)]+ complex cation and TFSA− anion under the anion blocking conditions. The momentum conservation of the ions is achieved solely by the momentum exchange of the ions, as with the cases for solvent-free molten salts and ionic liquids.35,36 The previous MD simulation study also suggested that the anti-correlated motions of the ions can be mitigated in the shorter glyme systems since a more frequent solvent exchange between the unstable [Li(glyme)] complex cations contributes to the momentum conservation.26 This would result in tPPLi being a little lower than tNMRLi for [Li(G1)2][TFSA] and [Li(G1)(G2)][TFSA]. In contrast, the tPPLi was higher than tNMRLi for [Li(SL)2][TSFA] and [Li(SL)3][TFSA]. The same trend was also observed for the SL-based concentrated electrolytes with lithium bis(fluorosulfonyl)amide.34,37 This implies that the dynamic ion correlations positively affected the Li+ transference number under anion blocking conditions (tPPLi) in the SL-based electrolytes. The effects of the dynamic ion correlations on the Li+ transference numbers are investigated in detail in the following section.
σion = σ++ + σ−− − 2σ+− | (3) |
Two transport coefficients for cation and anion, σ++ and σ−−, can be further divided into self-terms and distinct terms, respectively, and the ionic conductivity σion is given as follows:
σion = σself+ + σdistinct+ + σself− + σdistinct−− − 2σ+− | (4) |
All the Onsager transport coefficients (σ++, σ−− and σ+−) can be estimated from experimentally determined quantities, σion, tPPLi, Dsalt and dΔφ/dln(c) and these experimental data were listed in Table S1 (ESI†). The self-terms, σself+ and σself−, are obtained from the Nernst–Einstein equation using self-diffusion coefficients of Li ions (DLi), and the anions (Danion),26 and the distinct terms can be calculated by simply subtracting σself+ (and σself−) from σ++ (and σ−−). The detailed procedure for estimating the transport coefficients is described in Supplementary Information. The sign of σdistinct++, σdistinct−−, and σ+− is closely related to the dynamic cross-correlations of cation–cation, anion–anion, and cation–anion, respectively. The sign of the cross-correlations becomes positive and negative for correlated and anti-correlated ion motions, respectively, while the cross-correlations of zero represent non-correlated interionic dynamics as assumed in ideal electrolyte solutions.
Fig. 2 shows the normalised coefficients (σself+, σself−, σdistinct++,σdistinct−−, and σ+− divided by σion) to illustrate the contribution of the dynamic correlations to the total ionic conductivity. The numeric data for these coefficients are also listed in Table S2 (ESI†). As shown in the Fig. 2a and b, for the solvate ionic liquids, [Li(G3)][TFSA] and [Li(G4)][TFSA], all the cross-correlations (σdistinct++/σion, σdistinct−−/σion, and σ+−/σion) are negative, indicating that the cation–cation, anion–anion, and cation–anion motions are anti-correlated (i.e., the movement of the ions in opposite directions). Therefore, as suggested by eqn (4), the cation–cation and anion–anion anti-correlations negatively contributed to the ionic conductivity, whereas the cation–anion anti-correlation contributed positively to the ionic conductivity. The negatively large value of σdistinct++/σion for [Li(G3)][TFSA] and [Li(G4)][TFSA] indicates that the momentum conservation of the vehicular-type translational motions of a long-lived [Li(glyme)]+ complex cation was preserved mainly by other [Li(glyme)]+ complex cations. Hence, σself+ is significantly offset by the negative σdistinct++, leading to a small contribution of σ++ to σion. Furthermore, the negative value of σ+−/σion suggests that [Li(glyme)]+ complex cations and [TFSA]− anions are generally well-dissociated, and most of the ions do not form persistent ion-pairs, even at high Li salt concentrations.
Although our experiments demonstrated the most negatively large value for σdistinct++/σion among the cross-correlations, σdistinct++/σion was comparable to σdistinct−−/σion for [Li(G4)][TFSA] in the reported MD simulations.33 Nevertheless, our experimental results on the transport coefficients are in reasonable agreement with the results in the MD simulations. All the distinct terms were found to be negative, and the dynamic cross-correlations of the ions with the same sign was negatively larger than the cation–anion cross-correlations for [Li(G4)][TFSA]. The anti-correlations of [Li(G4)]+ and [TFSA]− in [Li(G4)][TFSA] was also experimentally verified by the electrophoretic NMR study.38 Significant anti-correlations of the ion motions derived from the momentum conservation have been reported for solvent-free ionic liquids and molten salts.35 Hence, the strongly anti-correlated motions found in [Li(G3)][TFSA] and [Li(G4)][TFSA] corroborate our previous classification of these molten Li salt solvates into a good solvate ionic liquid on the basis of the robustness of [Li(glyme)]+ complex cations (i.e., long-term coupled motions of Li ion and glyme by diffusivity measurement15 and MD simulations39) and the scarcity of uncoordinated glyme estimated by Raman analysis.40
The σdistinct++/σion and σ+−/σion of [Li(G1)2][TFSA] and [Li(G1)(G2)][TFSA] with shorter glymes are less negative than those of [Li(G3)][TFSA] and [Li(G4)][TFSA] (Fig. 2c and d). This may be due to the occurrence of much faster ligand (glyme) exchange in the shorter glyme-based molten Li salt solvates.16 Shorter glymes with a high exchange rate (or a short residence time with the Li ion) enables the momentum exchange between the ions and the ligands to satisfy the momentum conservation, and thus the cation–cation and cation–anion correlations are less anti-correlated.26 Interestingly, σdistinct++/σion and σ+−/σion of the SL-based electrolytes are even less negative than those of [Li(G1)2][TFSA] and [Li(G1)(G2)][TFSA] and approach zero with a small increase in the SL content from [Li(SL)2][TFSA] to [Li(SL)3][TFSA] (Fig. 2e and f). This means that, despite high Li salt concentrations similar to the glyme systems, the cation–cation and cation–anion motions are found to be less anti-correlated for [Li(SL)2][TFSA] and nearly non-correlated for [Li(SL)3][TFSA]. The postulated Li ion hopping/exchange conduction mechanism through the unique SL-bridged, chain-like Li-ion coordination structure may be responsible for the insignificant anti-correlations even at high Li salt concentrations as well as a large contribution of σself+ to σion.17,18
In addition, the σdistinct−−/σion of the shorter glyme-based and the SL-based electrolytes is more negative than that of [Li(G3)][TFSA] and [Li(G4)][TFSA]. This suggests that the momentum of bulky TFSA anions is predominantly self-compensated in these molten Li salt solvates with the labile Li ion coordination structures. The negative contribution of σdistinct−− significantly offsets the positive contribution of σself−, and thus, σ−− has only a minor effect on σion in these molten Li salt solvates.
![]() | (5) |
![]() | (6) |
The parameter α must be equal to tNMRLi for non-correlated ideal systems, but is greatly affected by the cation–cation cross-correlation for the molten Li salt solvates, whereas the parameter β is dependent on the cation–anion cross-correlation. The parameters α and β for the molten Li salt solvates are listed in Table 2. Based on eqn (5), tPPLi was simulated versus β for different α values, as in Fig. 3; in this figure, the experimental values of [Li(G4)][TFSA], [Li(G1)(G2)][TFSA] and [Li(SL)3][TFSA] are also plotted.
Sample | α | β |
---|---|---|
[Li(G3)][TFSA] | 0.25 | −0.78 |
[Li(G4)][TFSA] | 0.29 | −0.83 |
[Li(G1)2][TFSA] | 0.88 | −0.43 |
[Li(G1)(G2)][TFSA] | 0.93 | −0.37 |
[Li(SL)2][TFSA] | 0.89 | −0.19 |
[Li(SL)3][TFSA] | 0.92 | −0.18 |
![]() | ||
Fig. 3 Plots of tPPLiversus β with different α. The data for [Li(G4)][TFSA], [Li(G1)(G2)][TFSA] and [Li(SL)3][TFSA] are also plotted in the figure. |
For the glyme-based electrolytes, the α value of [Li(G3)][TFSA] and [Li(G4)][TFSA] is significantly lower than that of [Li(G1)2][TFSA] and [Li(G1)(G2)][TFSA]. This is mainly attributed to the stronger anti-correlated motions of Li ions in the molten Li solvates with longer glymes (Fig. 2a and b). The decreased σ−− due to the highly negative σdistinct−− also contributes to higher α values for [Li(G1)2][TFSA] and [Li(G1)(G2)][TFSA]. The strength of the cation–anion anti-correlations are well manifested in the order of β values – [Li(G4)][TFSA] with the most pronounced cation–cation anti-correlations has the lowest β value of −0.83. Similar β values (−0.87 for [Li(G4)][TFSA] and ∼−0.5 for [Li(G1)2][TFSA] and [Li(G1)(G2)][TFSA]) were reported in the MD simulation study.26,33 As seen in Fig. 3, both low α and β values are responsible for the extremely low tPPLi for [Li(G4)][TFSA]. Consequently, we experimentally confirmed Bedrov's notion that tPPLi can increase for shorter glyme systems with the weaker Li ion–solvent interaction, in which the momentum conservation-derived ionic anti-correlations of cation–cation and cation–anion motions were suppressed to some extent by the fast solvent (momentum) exchange, leading to the higher α and β values.
For the SL-based electrolytes, the α values are comparable to that of the shorter glyme-based electrolytes, but the β values are higher than that of the shorter glyme-based electrolytes. The high α value arises from not only the large contribution of σself+ (due to higher DLi than Danion), but also the significantly less-pronounced cation–cation anti-correlations. In a comparison between the shorter glyme based electrolytes and the SL-based electrolytes with the high α values of ∼0.9 (Fig. 3), the higher β value (due to weaker cation–anion anti-correlations) for the SL-based electrolytes exerts an efficient contribution to tPPLi becoming high. As a result, the Li ion hopping/exchange mechanism through the labile SL-bridged, chain-like Li-ion coordination structure may reduce the cation–cation and cation–anion anti-correlations, and impart the high α value and the β value closer to zero, enabling a high tPPLi.
The simulation of tPPLi with different parameters of α and β (Fig. 3) provides an important guideline for designing liquid electrolytes with high tPPLi, and suggests that single ion conductors (tPPLi ∼ 1) can be prepared even with low molecular weight solvents and Li salts when liquid electrolytes have appropriate values of α (> 0.5) and β. For instance, one can expect an even higher tPPLi for the SL-based electrolytes if the β parameter approaches zero. This might be achieved either by decreasing the interactions between Li ions and SL solvents to facilitate solvent-derived momentum exchange (e.g., partial fluorination of SL), or by increasing the cation–anion interactions to some extent (e.g., use of more associative Li salt than LiTFSA). Both would contribute to an increase in β. Indeed, tPPLi increased from 0.68 for [Li(SL)2][TFSA] to 0.77 for [Li(SL)2][BF4]17 with reprising weakly coordinating, bulky TFSA anions by more strongly Lewis basic, smaller BF4 anions.
Footnote |
† Electronic supplementary information (ESI) available: Plots of the Li/Li+ electrode potential against the natural logarithm of the Li salt concentration in the mixture of LiTFSA in the solvents, numerical data of the six experimentally obtained parameters for the calculation of Onsager transport coefficients, and the normalised transport coefficients. See DOI: 10.1039/d0cp02181d |
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