Highly Reversible and Rapid Sodium Storage in GeP3 with Synergistic Effect from Outside-In Optimization

Abstract
The composite GeP3/[email protected] as a sodium ion battery anode material was fabricated by introducing carbon matrix into GeP3 through high energy ball milling, followed by encapsulating the resultant composite with graphene via a solution-based ultrasonic method. To delineate the individual role of carbon matrix and graphene, material characterization and electrochemical analyses were performed for GeP3/[email protected] and three other samples: bare GeP3, GeP3 with graphene coating ([email protected]) and GeP3 with carbon matrix (GeP3/C). GeP3/[email protected] exhibits the highest electric conductivity (5.89×10−1 S•cm−1) and the largest surface area (167.85 m2 g−1) among the four samples. The as-prepared GeP3/[email protected] delivered a reversibly high capability of 1084 mA h g−1 at 50 mA g−1, excellent rate capability (435.4 mA h g−1 at a high rate of 5 A g−1) and long-term cycling stability (400 cycles with a reversible capacity of 823.3 mA h g−1 at 0.2 A g−1), all of which out-performance the other three samples. The kinetics investigation reveals a “pseudocapacitive behaviour” in GeP3/C and GeP3/[email protected], where solely faradic reactions took place in bare GeP3 and [email protected] with a typical “battery behaviour”. Based on ex-situ X-ray photoelectron spectroscopy (XPS) and ex-situ Electrochemical impedance spectroscopy (EIS), the carbon matrix serves to activate and stabilize the interior of composite, while the graphene protects and restrains the exterior surface. Benefitting from the synergistic combination of these two components, GeP3/[email protected] achieved extremely stable cycling stability as well as outstanding rate performance.
Funding Information
  • Ministry of Science and Technology of the People's Republic of China (GDW20186100428)
  • National Research Foundation of Korea (NRF-2017M3 D1A1039553, NRF-2017R1A2B3004383)
  • Korea Institute of Energy Technology Evaluation and Planning (20168510011350)
  • National Natural Science Foundation of China (21978164)
  • Shaanxi Province (2018TD-015)