Literature DB >> 32378347

Interface-Strengthened Polymer Nanocomposites with Reduced Dielectric Relaxation Exhibit High Energy Density at Elevated Temperatures Utilizing a Facile Dual Crosslinked Network.

Jie Liu1, Zhonghui Shen2, Wenhan Xu1, Yu Zhang1, Xiaoshi Qian3, Zhenhua Jiang1, Yunhe Zhang1.   

Abstract

High-temperature ceramic/polymer nanocomposites with large energy density as the reinforcement exhibit great potential for energy storage applications in modern electronic and electrical power systems. Yet, a general drawback is that the increased dielectric constant is usually achieved at the cost of decreased breakdown strength, thus leading to moderate improvement of energy density and even displaying a marked deterioration under high temperatures and high electric fields. Herein, a new strategy is reported to simultaneously improve breakdown strength and discharged energy density by a step-by-step, controllable dual crosslinking process, which constructs a strengthened interface as well as reduces molecular chains relaxation under elevated temperatures. Great breakdown strength and discharged energy density is achieved in the dual crosslinked network BT-BCB@DPAES nanocomposites at elevated temperatures when compared to noninterfacial-strengthened, BT/DPAES composites, i.e., an enhanced breakdown strength and a discharged energy density of 442 MV m-1 and 3.1 J cm-3 , increasing by 66% and 162%, and a stable cyclic performance over 10 000 cycles is demonstrated at 150 °C. Moreover, the enhancement through the synergy of two crosslinked networks is rationalized via a comprehensive phase-field model for the composites. This work offers a strategy to enhance the electric storage performances of composites at high temperatures.
© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  dual crosslinked networks; high-temperature energy storage; molecular chains relaxation; polymer nanocomposites; strengthened interfaces

Year:  2020        PMID: 32378347     DOI: 10.1002/smll.202000714

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   13.281


  2 in total

1.  Prediction of Energy Storage Performance in Polymer Composites Using High-Throughput Stochastic Breakdown Simulation and Machine Learning.

Authors:  Dong Yue; Yu Feng; Xiao-Xu Liu; Jing-Hua Yin; Wen-Chao Zhang; Hai Guo; Bo Su; Qing-Quan Lei
Journal:  Adv Sci (Weinh)       Date:  2022-04-10       Impact factor: 17.521

2.  Polyimide Nanodielectrics Doped with Ultralow Content of MgO Nanoparticles for High-Temperature Energy Storage.

Authors:  Ziwei Li; Hongmei Qin; Jinhui Song; Man Liu; Xiaolin Zhang; Shan Wang; Chuanxi Xiong
Journal:  Polymers (Basel)       Date:  2022-07-19       Impact factor: 4.967

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.