Enhanced Electrochemical Performance of Maghemite/Graphene Nanosheets Composite as Electrode in Half and Full Li–Ion Cells
Introduction
Although most commercial Li-ion batteries use graphite as anode, a variety of materials have been investigated in order to increase the cell capacity, and therefore its specific energy. Some of these materials are transition metal oxides, which are able to store more Li per gram than graphite, thus giving rise to higher specific capacities. Special attention in this respect has been given to Fe, Co and Ni based oxides [1], [2], [3], [4]. Ni and especially Co are expensive and toxic, so the practical interest of the former element is questionable while iron oxides are not subject to these problems, [5] so they may be effective alternatives. An important drawback of their cycling behavior is the volume changes undergone upon discharging and charging that results in the disintegration and disconnection of the active material from the current collector, which is the origin of the capacity fading [6], [7].
This shortcoming is very often circumvented by using carbon-based composites. In addition to buffering expansions and shrinkages, carbon has conductive properties that enhance the mobility of the charge carriers. In the last few years, graphene has become one of the most widely studied materials for Li-ion battery electrodes. Interest in this material has been aroused by two outstanding properties, namely: its high specific capacity (744 mAh g1, which is twice that of graphite) and its high electronic conductivity, up to 102 S m−1 for GNS, depending on the preparation method used [8]. In fact, graphene has been the subject of much research intended to improve the performance of these electrochemical devices [9]. GNS have also been used as additives to improve the performance of other electrochemically active materials (particularly tin, nickel and cobalt oxides) [10].
Magnetite (Fe3O4) is the most widely iron oxide studied in composites with GNS as anode for Li-ion batteries. Unfortunately, the electrochemical response of Fe3O4/GNS composites differs widely as regards to performance in Li cells. For example, while Behera [11] obtained specific capacities, after 100 cycles, as high as 1200 mAh g−1 at a rate of 2000 mA g−1–really very high for this type electrode–, Lian et al. [6] with current density of 50 mA g−1, and Huang et al. [12] at a rate of 500 mA g−1, obtained capacity values of 50% of that at the 40th cycle. Hematite (α-Fe2O3) has also been studied but at a lower extent and with similar performances as magnetite [13], [14], [15]. There is little information on the electrochemical performance of maghemite (γ-Fe2O3) as anode material, and even less in GNS composites. We only know a single article on this composite recently published [16]. This contrasts with the abundant literature available for magnetite [6], [7], [11], [12], [17], [18], [19], [20], [21], [22], [23], [24] and hematite [13], [14], [15] based composites. The confusion between magnetite and maghemite might be one of the reasons of this circumstance.
Besides the absence of studies on maghemite/GNS composites, there is the problem of the lack of an accurate knowledge of the actual nature of the iron oxide. So far, most of reports on iron oxide/GNS composites have assumed the magnetite to be the iron oxide phase present in the composite, occasionally on the grounds of an arguable interpretation of the characterization results. Magnetite (Fe3O4) and maghemite (γ-Fe2O3) are two structurally related phases that are difficult to differentiate by X-ray diffraction and Raman spectroscopy, which are commonly used to characterize these composites [7], [12], [17], [18], [19], [20], [21], [22], [23], [24]. We accurately identified the phase formed as γ-Fe2O3 rather than Fe3O4 in spite of the experimental conditions used in the composite synthesis.
As stated above, most studies on the electrochemical properties of graphene based composites in Li batteries have been carried out in half cells (versus a Li metal electrode). In fact, very few papers have addressed their use in full Li-ion batteries [22], [25]. In this work, we examined Li storage properties in a full cell configuration using LiFePO4 (LFPO) as cathode. The outstanding performance of this composite in both half and full cells opens promising prospects for a new generation of Li-ion batteries exploiting the synergistic effects of the electrochemical properties of the two components, which lead to improved reversible Li storage.
Section snippets
Materials
Iron oxide–graphene nanosheets composites (MG) were prepared by a hydrothermal method. In a typical run, 1.23 g of FeCl2·4H2O was mixed with 0.2 g of graphene oxide (GO) synthesized as described elsewhere [26] in 100 mL of water for 2 h in order to bring particles into intimate contact. Then, 2 mL of the reducing agent (N2H4·H2O) was added and mixed for 10 min. Next, the whole mixture was transferred into a 135 mL autoclave where the mixture was allowed to react at 150 °C for 14 h. The product thus
Structural, Chemical and Morphological Characterization
Fig. 1 shows the X ray diffraction patterns for the samples studied. Exfoliation and reduction of GO in the solvothermal treatment was revealed by the complete absence of the peak at 10.3° and the presence of the characteristic peak for graphite at ca. 26.4° [26]. Its significant broadening is indicative of a high disorder in the stacking of graphene nanosheets. The diffraction peaks for iron oxide are consistent with those reported for Fe3O4 (JCPDS No.19–0629). However, γ-Fe2O3 is also
Conclusions
Maghemite (γ-Fe2O3) as anode material in lithium cells has received little attention, probably because of its poorly known electrochemical properties. In this work, using maghemite in combination with graphene nanosheets was found to enhance these properties and make them comparable to those of magnetite (Fe3O4) the most extensively studied iron oxide. These two oxides possess a similar structure and have occasionally been inaccurately identified. We use a combination of XRD, XPS and TG data to
Acknowledgements
This work was performed with the financial support of the Ministerio de Ciencia e Innovación (Project MAT2008-03160 and MAT2011-27110) and Junta de Andalucía (Group FQM-175 and Project FQM-01647).
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