Skip to main content

Electrochemical performance of transition metal sulfide by employing different synthesis techniques for hybrid batteries

Author name : MOHAMED RAMADAN ABDELMEGID ELAASSAR
Publication Date : 2022-10-06
Journal Name : International Journal of Energy Research

Abstract

Hybrid batteries a well-known electrochemical energy storage technology that comprises of both supercapacitor and battery characteristics at the same time. The hybrid batteries can fulfill the current global energy quest as they have obtained high energy density (battery) and high-power characteristics (supercapacitor). Here, we have demonstrated the effect of synthesis technique on the electrochemical performance of manganese sulfide (MnS) by mainly opting sonochemical and hydrothermal approach. Initially, the electrochemical characterizations of MnS were analyzed in three electrode setup. Electrochemical measurements in particular cyclic voltammetry, galvanostatic charge discharge, and impedance spectroscopy were studied to scrutinize the nature of the electrodes. The hydrothermally synthesized MnS shows battery grade nature with superior specific capacity of 608.08 C/g at 2.2 A/g. On account of high electrochemical performance, the prominent electrode was employed with activated carbon to explore hybrid battery applications. The hybrid device (S2//AC) has revealed exceptional specific capacity of 265 C/g at 2 A/g and 519.8 C/g at 3 mV/s. Also, the S2//AC device manifests remarkable specific power and energy of 1700 W/kg and 62.5 Wh/kg, correspondingly. Furthermore, a simulation approach was used to evaluate the contribution of capacitive and diffusive by applying Dunn's model. The nature of the asymmetric device was also confirmed by calculating its b fitting values. This study shows that the MnS has the potential to be utilized for efficient energy storage systems.

Keywords

Electrochemical performance of transition metal sulfide by employing different synthesis techniques for hybrid batteries

Publication Link

https://doi.org/10.1002/er.8592

Block_researches_list_suggestions

Suggestions to read

HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things
Ahlem . Harchy Ep Berguiga
“Synthesis and Characterization study of SnO2/α-Fe2O3, In2O3/α-Fe2O3 and ZnO/α-Fe2O3 thin films and its application as transparent conducting electrode in silicon heterojunction solar cell”
Asma Arfaoui
Frequency and voltage dependent of electrical and dielectric properties of 14 nm Fully Depleted Silicon-On-Insulator (FD-SOI)
MOHAMMED OMAR MOHAMMEDAHMED IBRAHIM
Strengths Mindset as a Mediator in the Relationship Between Paradoxical Leadership and Nurses' Positive Attitudes Towards Artificial Intelligence: A Cross-Sectional Study
MOHAMED ELSAYED MOHAMED ZAKY
Contact