Marcella
Bini
*a,
Stefania
Ferrari
a,
Doretta
Capsoni
a,
Piercarlo
Mustarelli
a,
Gabriele
Spina
b,
Franco Del
Giallo
c,
Marco
Lantieri
c,
Cristina
Leonelli
d,
Antonino
Rizzuti
e and
Vincenzo
Massarotti
a
aDipartimento di Chimica, Sezione di Chimica Fisica, Università di Pavia, Viale Taramelli 16, 27100, Pavia Italy. E-mail: bini@unipv.it; Fax: 39-382-987575; Tel: 39-382-987202
bDipartimento di Fisica ed Astronomia, Università di Firenze, Via Sansone 1, 50019, Sesto Fiorentino (FI), Italy
cIstituto dei Sistemi Complessi – CNR, Via Madonna del Piano 10, 50019, Sesto Fiorentino (FI), Italy
dDipartimento di Ingegneria dei Materiali e dell'Ambiente, Università di Modena e Reggio Emilia, Via Vignolese 905, 41125, Modena Italy
eDipartimento di Ingegneria delle Acque e di Chimica, Politecnico di Bari, Via Orabona 4, 70125, Bari, Italy
First published on 3rd November 2011
Olivine-type LiFePO4 is nowadays one of the most important cathode materials of choice for high-energy lithium ion batteries. Its intrinsic defectivity, and chiefly the so-called lithium ironanti-site, is one of the most critical issues when envisaging electrochemical applications. This paper reports a combined diffractometric (Synchrotron Radiation XRD with Rietveld and PDF analyses) and spectroscopic (Mössbauer) approach able to give a thorough characterization of the material defectivity. Such analytical procedure has been applied to a sample prepared following an innovative microwave-assisted hydrothermal synthesis route that, in a few minutes, allowed us to obtain a well crystallized material. PDF analysis, which is applied for the first time to this type of battery material, reveals the presence of disorder possibly due to Li/Fe exchange or to a local symmetry lowering. A 5% amount of iron on the lithium site has been detected both by PDF as well as by Mössbauer spectroscopy, which revealed a small percentage of Fe3+ on the regular sites.
Olivine-type material prepared by hydrothermal or precipitation methods has been recognised as intrinsically defective due to the low temperature and short times of synthesis;14–16 for this reason, further thermal treatments are necessary in order to remove the structural defects making the material suitable for electrochemical applications. The most cited defect is the lithium ironanti-site, which has been addressed both by experimental work17–19 and by theoretical energy computation.20 Very often during the preparation of the material small percentages of Fe3+ are formed and lithium vacancies should be invoked for charge balancing; these intrinsic defects have been recently discussed and observed through the use of Mössbauer and XAS spectroscopies as well as with magnetisation measurements.15,21,22
In addition to these established spectroscopic techniques used for the investigation of the local order, atomic Pair Distribution Function (PDF) analysis is now emerging as a powerful tool for the study of defects. This approach was initially proposed for amorphous materials and for liquids but, owing to recent technological developments, it is now currently applied also to crystalline oxides.23,24 Recently, this technique has been applied in combination with Li MAS-NMR to the study of battery materials such as LiNi0.5Mn0.5O2 and nano-FeF3.25,26
In this work we propose a combined use of Synchrotron Radiation X-ray Powder Diffraction (SR-XRPD) with Rietveld analysis, PDF analysis and of Mössbauer spectroscopy for the defect characterization of crystalline LiFePO4, prepared by means of an innovative microwave-assisted hydrothermal synthesis performed at low temperature for a few minutes. Besides the intrinsic interest to develop a fast and efficient method for LiFePO4 synthesis, our specific aim was to obtain a defective material as a benchmark to test our characterization approach. The investigation of the structural disorder has been carried out, for the first time to the best of our knowledge, by combining the Rietveld method and the PDF analysis on synchrotron radiation data. The defect models have been supported by Mössbauer spectroscopy, which allowed characterization of the iron environment and oxidation state.
An ICP-OES Perkin Elmer Optima 3300 DV was used for the elemental analysis measurements to verify the sample stoichiometry.
Model A: Non-defective structure.
Model B: Fe Frenkel defect in the (0.38,0.45,0.42) interstitial site.20
Model C: Li-Feanti-site pair defect in which iron and lithium are partially exchanged on the respective sites.20
The refined parameters were scale factor, zero-error, 9 background coefficients, lattice parameters, atomic position of Fe, P and O ions, anisotropic thermal factors and occupancies.
In addition, a different model based on a space group with a lower symmetry with respect to the orthorhombic Pnma was also tested. Some attempts to fit the g(r) with symmetry related subgroups of Pnma led to satisfactory results only with the s.g. P21. The maximum multiplicity of this s.g. is two, so the crystal structure is now described by two crystallographic sites for Li, Fe, P and O1, O2 ions and four sites are needed for the O3 ion. During the modelling, the β angle of the unit cell was maintained to 90° and the lithium site was kept with (0,0,0) coordinates, due to the low X-ray scattering factor of Li ion.
In general, the occupancies were refined using suitable constraints and the total amount of the cations was fixed to the stoichiometric quantity. The fitted parameters were the scale factor, the lattice constants, the anisotropic thermal factors, the occupancies and the dynamic correlation factor (δ) which takes into account the correlated motion between atom pairs.
A survey at the published literature on the subject reveals that spectra similar to the ones reported below were fitted by introducing broad Lorentzian lines, site distributions and/or by considering dynamical effects15,33–43 which cause the Mössbauer line shape to deviate from the standard Lorentzian trend. Anyway, we note that in ref. 15,33–43 the authors use the linear approximation disregarding the line shape distortions due to the sample thickness, which become significant even at 8% absorption peaks.
Since the saturation effect determines a larger reduction of the absorption at resonance than off resonance, data analysis performed in linear approximation introduces spurious distributions of sites density.44 These distributions are mainly localized near the highest peaks and they are likely to be the sources of errors in the physical interpretation of the results. Moreover, in the presence of dynamical effects (electronic relaxation, atomic diffusion, etc.) the spectrum shape and, consequently, the saturation effects change with the temperature. Therefore, the use of the linear approximation may lead to wrong evaluations of the relaxation times and of related physical parameters (i.e.activation energy, diffusion coefficient and so on).
Furthermore, the aim of the present analysis is to reveal small site contributions of about 5–10% of the total iron amount. However, since the standard fitting procedure based on Lorentzian profiles and linear approximation generally leads to erroneous evaluation of weak and/or poorly resolved contributions,45 we chose to use the transmission integral32 in order to take into account simultaneously all the broadening/distortion effects:44
![]() | (1) |
where indicates the source line shape given by a Voigt profile whose Lorentzian component has a natural linewidth and the Gaussian one is suitable to reproduce the total line width of the source provided by the manufacturer, Γs = 1.03 mm s−1. Moreover, fsr is the reduced source recoilless fraction given by
, the effective thickness ta determines the spectrum saturation and the Mössbauer cross section σ(ω) contains the hyperfine fields distributions and/or the relaxation characteristic times.
We focus on the crucial role of fsr , whose fitted value is strongly correlated to ta one and to the physical parameters values that appear in σ(ω) . Therefore, eqn (1) cannot be properly used unless you verify the correctness of the fs value provided by the manufacturer, by means of alternative methods,46,47 where coincidence and anticoincidence Pulse Height Analysis (PHA) measurements are scheduled, too.
Since the quadrupolar splitting distributions reported in literature are approximately Gaussian35,37 and their effects on the line shape are not always easily distinguishable from the ones connected with dynamical processes, we chose to express σ(ω) throughout Voigt doublets48 having Lorentzian component of natural linewidth while the Gaussian one, describing all the above broadening/distortion effects, was treated as free parameter. Therefore, we stress that the Γg values reported on Table 6 indicate only the Gaussian broadenings and not the total linewidths, in fact Γtot = Γs + Γn + Γg + ΔΓta ≅ 0.21 + Γg + 0.027ta
![]() | ||
Fig. 1 SEM images of the LiFePO4 sample at low (a) and high (b) magnification. |
Model A | ||
---|---|---|
a/Å | 10.3268(1) | |
b/Å | 5.9975(1) | |
c/Å | 4.6945(1) | |
Atomic fractional coordinates | Fe | 0.2818(4) |
0.9747(9) | ||
P | 0.0946(7) | |
0.4167(1) | ||
O1 | 0.0986(2) | |
0.7432(4) | ||
O2 | 0.4540(2) | |
0.2063(4) | ||
O3 | 0.1663(1) | |
0.0425(2) | ||
0.2804(2) | ||
Li–O/Å | 2*2.091(2) | |
2*2.177(2) | ||
2*2.179(2) | ||
Fe–O/Å | 2*2.048(2) | |
2.084(2) | ||
2.183(2) | ||
2*2.243(2) | ||
Rwp | 3.39 | |
Gof | 5.80 | |
RB | 2.10 |
Satisfactory discrepancy factors were found for all the models, even if the Fe Frenkel one seems less favored, as revealed by the values of the anisotropic thermal factors, which are unusually high and characterized by significant standard deviations. As an example, the comparison between the calculated and observed patterns for Model C is reported in Fig. 2.
![]() | ||
Fig. 2 Comparison between observed (blue line) and calculated (red line) patterns from the Rietveld refinement of the Model C. In the bottom the difference plot (gray line) and the bars indicating the angular positions of the reflections of olivine-type material are also reported. |
As already stated, the best-fit of the PDF was carried out by considering the three models. Fig. 3a shows the comparison between experimental and calculated PDF for the non-defective structure (Model A). The structural refinement doesn't lead to a satisfactory fit, as demonstrated by the difference curve at the bottom of Fig. 3a. Both the models B and C allow us to improve the fit in comparison to Model A (see Fig. 3b and c), and similar discrepancy factors are obtained. In Table 2 the main structural parameters are reported together with the discrepancy factors. The occupancies obtained for each model did reveal the presence of about 4% of interstitial iron and, in the case of Li/Fe exchange, of about 3.5% of substitutional iron. Comparing the three models, A and B present similar lattice parameters. In contrast, Model C gives different values which are close to those obtained by the Rietveld refinement. The uij parameters are of the order of 10−3 Å2 and are not reported for the sake of simplicity. Table 3 reports the bond lengths of the different polyhedra.
![]() | ||
Fig. 3 Graphical comparison between calculated (red line) and observed (black line) PDF for (a) Model A (b) Model B and (c) Model C. |
Model A | Model B | Model C | |
---|---|---|---|
a/Å | 10.3568(1) | 10.3606(1) | 10.3397(1) |
b/Å | 6.0232(1) | 6.0209(1) | 6.0160(1) |
c/Å | 4.6539(1) | 4.6668(1) | 4.6743(1) |
Fe | 0.2818(1) | 0.2821(2) | 0.2809(3) |
0.9821(1) | 0.9773(2) | 0.9775(3) | |
Fe(Frenkel) | 0.3570(4) | ||
0.4373(4) | |||
0.3823(4) | |||
P | 0.0992(2) | 0.1021(2) | 0.1015(1) |
0.4221(2) | 0.4103(2) | 0.4129(1) | |
O1 | 0.0927(1) | 0.0869(1) | 0.0903(1) |
0.7407(1) | 0.7559(1) | 0.7511(1) | |
O2 | 0.4498(2) | 0.4527(2) | 0.4582(2) |
0.1978(2) | 0.1987(2) | 0.1967(2) | |
O3 | 0.1726(1) | 0.1739(1) | 0.1737(1) |
0.0517(1) | 0.0537(1) | 0.0475(1) | |
0.2837(1) | 0.2832(1) | 0.2805(1) | |
Calculated cationic distribution | [Li1]Li[Fe0.961(1)]Fe[Fe0.039(2)]i | [Li0.965(1)Fe0.035(1)]Li[Fe0.965(1)Li0.035(1)]Fe | |
Rwp | 0.2072 | 0.1485 | 0.1545 |
Model A | Model B | Model C | |
---|---|---|---|
Li–O | 2*2.125(1) | 2*2.092(1) | 2*2.112(1) |
2*2.156(1) | 2*2.117(2) | 2*2.118(2) | |
2*2.244(1) | 2*2.258(3) | 2*2.242(3) | |
Fe–O | 2.009(1) | 2.046(3) | 2*2.067(1) |
2*2.092(1) | 2*2.091(2) | 2.099(1) | |
2*2.162(2) | 2*2.166(1) | 2*2.172(2) | |
2.257(3) | 2.271(1) | 2.238(2) | |
Fe(i) –O | 1.729(3) | ||
1.953(2) | |||
2.023(1) | |||
2.057(2) |
The same best-fit procedure was also performed by considering the P21 space group. The relative structural parameters are presented in Table 4 and the bond lengths in Table 5. The comparison between experimental and calculated PDF is shown in Fig. 4. The graphical observation and the value of Rwp indicate the good quality of the structural model. The defective models were also tested with this structure, obtaining slightly improved Rwp, and a defect amount of about 7% for Fe Frenkel, and 5.2% for anti-site.
![]() | ||
Fig. 4 Graphical comparison between calculated (red line) and observed (black line) PDF for P21 model. |
a, b, c/Å | 10.3306(1), 6.0093(1), 4.6838(1) | |
---|---|---|
Atomic fractional coordinates | Fe1 | 0.7218(2) 0.7393(2) 0.0296(2) |
Fe2 | 0.7848(2) 0.2463(1) 0.5245(2) | |
P1 | 0.8986(3) 0.7501(2) 0.5738(2) | |
P2 | 0.4005(1) 0.7472(1) 0.8978(1) | |
O1 | 0.9045(2) 0.7341(2) 0.2460(2) | |
O2 | 0.5922(3) 0.2740(2) 0.7580(2) | |
O3 | 0.5414(1) 0.7527(1) 0.8014(2) | |
O4 | 0.9569(3) 0.2624(2) 0.2987(1) | |
O5 | 0.8291(1) 0.5457(1) 0.6688(1) | |
O6 | 0.3210(2) 0.5467(3) 0.7500(2) | |
O7 | 0.8324(2) 0.9503(3) 0.7178(1) | |
O8 | 0.6815(1) 0.4321(2) 0.2615(1) | |
Calculated cationic distribution | [Li0.948(1)Fe0.052(1)]Li[Fe0.948(1)Li0.052(1)]Fe | |
Rwp | 0.112 |
Li1–O | Li2–O | Fe1–O | Fe2–O | P1–O | P2–O |
---|---|---|---|---|---|
2.048(2) | 2.052(1) | 2.143(2) | 1.975(1) | 1.490(3) | 1.524(4) |
2.069(3) | 2.094(1) | 2.149(2) | 1.976(2) | 1.539(5) | 1.584(5) |
2.155(1) | 2.117(2) | 2.161(1) | 2.056(2) | 1.540(2) | 1.614(3) |
2.198(4) | 2.206(3) | 2.182(1) | 2.070(3) | 1.610(5) | 1.621(2) |
2.203(1) | 2.220(1) | 2.246(2) | 2.071(1) | ||
2.366(2) | 2.254(2) | 2.332(3) | 2.277(3) |
T/K | Site | δ (mm s−1) | Δ (mm s−1) | Γg (mm s−1) | t a | χ 2 |
---|---|---|---|---|---|---|
293 | 1 | 1.108(1) | 2.943(3) | 0.065(3) | 3.0(1) | 1046 |
2 | 1.137(7) | 2.84(2) | 0.17(1) | 1.4(1) | ||
3 | 1.33(4) | 1.7(2) | 0.38(6) | 0.27(5) | ||
4 | 0.72(2) | ∼0. | ∼0. | 0.03(1) | ||
150 | 1 | 1.199(1) | 3.027(3) | 0.077(4) | 3.5(3) | 1054 |
2 | 1.222(6) | 2.94(2) | 0.17(1) | 1.5(2) | ||
3 | 1.40(6) | 2.0(2) | 0.49(5) | 0.27(5) | ||
4 | 0.86(2) | ∼0. | 0.08(3) | 0.06(1) | ||
75.2 | 1 | 1.231(1) | 3.05(3) | 0.078(5) | 3.2(4) | 1057 |
2 | 1.249(6) | 3.01(1) | 0.18(2) | 2.0(3) | ||
3 | 1.38(6) | 2.1(3) | 0.41(7) | 0.24(8) | ||
4 | 0.89(2) | ∼0. | 0.10(2) | 0.09(1) |
![]() | ||
Fig. 5 Mössbauer spectra collected at 75.2 ,150.0 and 293.0 K and the respective fitted line shapes. |
![]() | ||
Fig. 6 Mössbauer cross section line shapes for the four sites at 293.0 K. |
Since ta values of (3) and (4) subspectra are low, further fits were carried out—not reported here for the sake of simplicity—by using only three contributions rather than four, as performed in ref. 43. The main result of these further fits is that the fitting parameters of the lowest subspectrum converge upon values similar to the ones of (3) and (4) sites reported on Table 6. For this reason it seems to be reasonable to fit the data by means of four subspectra.
We also tried to fit the spectra by forcing the quadrupolar splitting for the Fe3+ site to values in the range of those ones reported in literature15,33–43 (from 0.4 to 1.2 mm s−1). These attempts lead to remarkable increases of χ2 up to 2200. Moreover, the results were not numerically stable and they approach the ones reported in Table 6 by removing the constraint on the quadrupolar splitting.
As far as the subspectrum (4) is concerned, the broadening of the corresponding line could be connected with a superparamagnetic behaviour in a range just above the blocking temperature. At the same time, we note that the respective thickness values grow. These two facts analyzed as a whole could be better interpreted in the framework of dynamical processes, as the ones connected with charge hopping.35–37 This interpretation could agree with the large value of the isomer shift, which is close to the upper limit expected for a six coordinate Fe3+.15 Anyway, we are confident that He-liquid temperature range measurements are required to clarify the features and the processes involving the Fe3+ site.
On the basis of the present data, from ta values reported in Table 6, by taking into account the correlation coefficients coming out from the fits and averaging the three results, we estimate the iron percentage associated to (3) and (4) subspectra: ∼5% and ∼1%, respectively, in the assumption that the absorption recoilless fractions of all the sites share the same thermal trend.
Among the possible crystal defects, the anti-site one has been observed frequently with an iron amount on the lithium site ranging between 3 and 7%.17–19 Theoretical studies were also devoted to investigate the main possible defects of the olivine-type structure, and energy calculations suggest the anti-site defect is favoured with respect to interstitial lithium and iron.20 In our case, the defective models chosen on the basis of these indications allowed us to obtain a better agreement between the observed and calculated PDF (see Fig. 3 and Table 2). The graphical observation reveals an overall improvement of the best-fit, likely due to a general better assessment of the atomic positions, that leads to significant variations of the bond lengths as shown in Table 3. The defective models seem to introduce the shrinking of LiO6 octahedra from an average value of 2.175 Å to about 2.157 Å for model C and this difference is well beyond the bond lengths standard deviations. On the other hand, the FeO6 octahedra slightly expand when introducing the defect. The Li Frenkel defect has also been taken into account because of its relatively low energy of formation,20 but both the Rietveld refinement and the PDF analysis did reveal its amount is approximately zero. Anyway, it should be considered that the low X-ray scattering power of Li ions does not allow a sure response on this type of defect. The amount of anti-site defects found for our sample both from Rietveld (1.7%) and PDF analysis (3.5%), this last corresponding to the formula [Li0.965(1)Fe0.035(1)]Li[Fe0.965(1)Li0.035(1)]Fe, is in the range usually reported in the literature. The lattice parameters are often used as fingerprints of defect type and amount.16–17,19 In our case values close to the ones of ordered LiFePO4, but slightly contracted and not expanded as expected in the case of Li/Fe exchange, are found. Our lattice parameter behaviour seems instead comparable to that observed in presence of complex defects due to the co-existence of Li vacancies, Fe3+ and Li/Fe mixing.16 The Model C is completely comparable to the Model B at least at this level of investigation; in fact the Rwp values and the graphical comparisons are similar at all. About 4% of interstitial iron in tetrahedral coordination is found from the Model B. Considering the cationic radii for Fe2+ and Fe3+ in an octahedral or tetrahedral environment,50 it is reasonable to expect that the interstitial iron is Fe3+. The presence of low amounts of Fe3+ in this olivine-type material is not surprising considering that iron easily undergoes oxidation,51 and references therein despite of the precautions taken during the synthesis. Moreover, some authors refer to the presence of Fe3+ in the regular octahedral sites as an inherent or native defect of LiFePO4, linked to the lithium vacancy or to iron on Li site.16,22 The chemical analysis revealed a Li/Fe ratio of about 1, thus confirming that the Li vacancies are present in low amount. This agrees with the low percentage of Fe3+ revealed by Mössbauer analysis (about 1%: subspectrum 4). The Model B should not be considered reliable also taking into account the energy computation, which highlighted energy values too high for the formation of this defect.20 Therefore, Fe3+ could be placed on the regular iron sites or on the lithium ones, but Mössbauer spectroscopy, at least within the investigated temperature range, cannot give precise information on its location: we confirm the opportunity of recolling spectra at He-liquid temperature range. The (1), (2) and (3) contributions were attributed to Fe2+ with different local environments: (1) is due to iron on its regular sites, (2) is related to iron in regular sites but in a less regular geometry and, finally, (3) might represent iron located on Li sites, since both δ and Δ parameters (see Table 6) are different from those of (1) and (2), and in particular the higher value of Γg indicates a more distorted local environment in agreement with a substitutional site model: this result is in agreement with the literature.43 The amount of this Fe/Li substitution can be quantified in about 5%, in agreement with the PDF analysis.
A detailed observation of the graphical comparison (Fig. 3) of the PDF fit put into evidence that some discrepancies are still present in the graphical comparison and for this reason the model with a lower symmetry s.g. than the orthorhombic Pnma has been considered. This is a common procedure used for the study of local order.52,53 The lowering of the symmetry can be considered an alternative approach to explain the intrinsic disorder of LiFePO4. An advantage of this approach is related to the removal of the symmetry constraints of the crystallographic sites in the orthorhombic s.g. that, on the contrary, in P21 are no more in special positions thus allowing shifts of the atomic coordinates with a significant improvement of the best-fit (Table 4 and Fig. 4). However, lithium ions are retained in the (0, 0, 0) position because of their low X-ray scattering factor, that makes it difficult to locate their exact position during the refinement. Observing the bond lengths (Table 5), the polyhedra LiO6 and FeO6 appear to be, as expected, more distorted in comparison to those obtained with the orthorhombic s.g. In particular, the Li1O6 octahedron is stretched with an average Li–O bond of 2.173 Å, while the Li2O6 one shows shorter bonds with an average value of 2.157 Å. The iron octahedra are more distorted, with mean bond lengths of 2.202 Å and 2.071 Å for Fe1 and Fe2, respectively. The implementation of the anti-site defect in the P21s.g. leads to a slight improvement of the discrepancy factor with respect to the non-defective model. It is reasonable to expect the defect models do not significantly improve the refinement result, since the possibility of octahedra distortion is already taken into account by the lowering of the symmetry. From the PDF fit the 5% of anti-site defect has been found, in good agreement with the Mössbauer results. Considering the amount of Fe3+ found by the Mössbauer technique, an equivalent amount of lithium vacancies should be considered for charge balancing, thus obtaining the formula [□0.007Li0.941(1)Fe0.052(1)]Li[Fe0.948(1)Li0.052(1)]Fe. We have to remark that, from the values of mean bond lengths for Fe1 and Fe2 sites in P21s.g., the respective lattice contributions to Δ deviate each other of ∼10%. Consequently, Mössbauer spectroscopy is not able to distinguish between them since the lattice contribution for Fe2+ is only the 10% of the whole quadrupolar splitting. Therefore, it is difficult to choose between the P21 and Pnma space groups only on the basis of Mössbauer spectroscopy, but the better agreement with the anti-site amount determined for the P21 one, seems to argue in favour of this hypothesis. Moreover, the synthesis procedure, performed at low temperature for so short times, which locally could not favour a complete crystallization of the material, could justify the presence of less regular Fe2+ sites, suggested by Mössbauer spectroscopy.
Here, we demonstrated that a proper combination of spectroscopic and diffractometric investigations, corroborated by modern distribution function analysis on an educated models guess, can be an invaluable tool in the material scientist's arsenal. Future work will be devoted to the evaluation of the LiFePO4 defect content as a function of the synthesis time and temperature, and of its relationship with the cathode electrochemical response.
This journal is © The Royal Society of Chemistry 2012 |