Enhanced Energy Storage Properties of Four-Layer Composite Films via Strategic Macrointerface Modulation
Source abstract
Abstract
Dielectric capacitors play a crucial role in the field of energy storage; however, the low discharged energy density ( U e ) of existing commercial dielectrics limits their future applications. Currently, further improvement in the U e of dielectrics is constrained by the challenge of simultaneously achieving high permittivity (ε r ) and high breakdown electric field strength ( E b ). To address this issue, we designed a series of four-layer poly(vinylidene fluoride) (PVDF)-based composite films comprising three functional layers: a sodium bismuth titanate (NBT) plus PVDF composite (NBT&PVDF) layer to achieve high ε r values and a pure PVDF layer and a boron nitride (BN) plus PVDF composite (BN&PVDF) layer to achieve high E b values. This design synergistically enhanced the ε r and E b values of the composite films by exploiting low-loss macrointerface polarization via adjustment of the functional layer stacking order, as supported by simulation analyses. Ultimately, the composite film with a topmost layer of pure PVDF, followed by an NBT&PVDF layer, another pure PVDF layer, and a BN&PVDF layer achieved an enhanced U e value of 26.42 J·cm –3 and excellent efficiency of 80.03% at an ultrahigh E b value of 770 MV·m –1 . This approach offers an innovative pathway for developing advanced energy storage composite dielectrics via macrointerface manipulation.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Dielectric materials and actuators · Advanced Sensor and Energy Harvesting Materials · Electromagnetic wave absorption materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Shaanxi Key Laboratory of Green Preparation and Functionalization for Inorganic Materials, School of Materials Science and Engineering
Shaanxi University of Science and Technology
School of Electronic Information and Artificial Intelligence
Funding
National Natural Science Foundation of China · Key Research and Development Projects of Shaanxi Province · Shaanxi Province Innovative Talent Promotion Program-Youth Science and Technology New Star Project
References (49)
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