IEEE Access Special Section Editorial: Advanced Energy Storage Technologies and Their Applications

Rui Xiong,Peng Bai,Hua Bai,Hailong Li,Xuan Zhou,Suleiman M Sharkh,Weixiang Shen

doi:10.1109/access.2020.3036556

Abstract

The depletion of fossil fuels, the increase of energy demands, and the concerns over climate change are the major driving forces for the development of renewable energy such as solar and wind. However, the intermittency of renewable energy has hindered the deployment of large-scale intermittent renewable energy, which therefore has necessitated the development of advanced large-scale energy storage technologies [item 1) in the Appendix]. The use of large-scale energy storage can effectively improve the efficiency of energy resource utilization and increase the use of variable renewable resources, energy access, and end-use sector electrification [items 2) and 3) in the Appendix]. Over the years, considerable research has been conducted on many types of energy, such as thermal energy, mechanical energy, electrical energy, and chemical energy, using different types of systems such as phase change materials, batteries, supercapacitors, fuel cells, and compressed air, which are applicable to various types of applications, such as heat and power generation and electrical/hybrid transportation [items 4) and 5) in the Appendix].

Highlights

In the article ‘‘Multi-objective optimal design of permanent magnet synchronous motor for high efficiency and high dynamic performance,’’ by Hong et al, the authors propose a multiobjective optimization method to improve permanent magnet synchronous motors
The intermittency of renewable energy has hindered the deployment of large-scale intermittent renewable energy, which has necessitated the development of advanced large-scale energy storage technologies [item 1) in the Appendix]
In the article ‘‘Optimization of a dual-motor coupled powertrain energy management strategy for a battery electric bus based on dynamic programming method,’’ Wang et al propose a control strategy for electric buses based on a dynamic programming method

Summary

Introduction

In the article ‘‘Multi-objective optimal design of permanent magnet synchronous motor for high efficiency and high dynamic performance,’’ by Hong et al, the authors propose a multiobjective optimization method to improve permanent magnet synchronous motors. In the article ‘‘State-of-the-art and energy management system of lithium-ion batteries in electric vehicle applications: Issues and recommendations,’’ by Hannan et al, the authors provide a comprehensive review of the state of the art of lithium-ion batteries from the aspects of mechanisms, structures, and performance evaluation. In the article ‘‘Unscented Kalman filter-based battery SOC estimation and peak power prediction method for power distribution of hybrid electric vehicles,’’ Wang et al propose to use an improved unscented Kalman filter to estimate the SOC and predict the peak power of lithium-ion batteries.

Results

Conclusion