Thinking and Prospect of Power Chip Specificity-Reference-Cited by-同舟云学术

Thinking and Prospect of Power Chip Specificity

Published:2021-08-21 Issue: Volume:2021 Page:1-14
ISSN:1687-529X
Container-title:International Journal of Photoenergy
language:en
Short-container-title:International Journal of Photoenergy

Author:

Ma Fuqi¹,Li Min²^ORCID,DONG Xuzhu¹,WANG Bo¹^ORCID,ZHOU Yinyu³,Li Jincan⁴,FENG Lei¹,Mohamed Mohamed A.⁵⁶^ORCID

Affiliation:

1. School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei Province, China

2. School of Mathematics and Computer, Wuhan Textile University, Hubei Province, China

3. Huizhou Power Supply Bureau Co., Ltd., Huizhou, Guangdong Province, China

4. Guangxi Power Grid Corporation Co., Ltd., Nanning, Guangxi Province, China

5. Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61519, Egypt

6. Department of Electrical Engineering, Fuzhou University, Fuzhou 350116, China

Abstract

The contradiction between the demand of massive intelligent scene caused by the interconnection of things in power system and the bottleneck of the chip itself is becoming more and more serious. How to realize the self-controllable and domestic substitution of power chips has been widely concerned in the power field. Therefore, this paper analyzes the demand for power chips in power system and discusses the scene specificity of power chips. Then, it combs the design architecture of power chips and discusses the application scenarios and research focuses of power chips. Finally, the key scientific problems and major technical bottlenecks of power chips are prospected.

Publisher

Hindawi Limited

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment,Atomic and Molecular Physics, and Optics,General Chemistry

Link

http://downloads.hindawi.com/journals/ijp/2021/1512629.pdf

Reference75 articles.

1. Development trend of IC industry in the mainland China and some recommendations;L. Wen;China Soft Science,2015

2. Distributed on-chip power delivery;S. Selçuk;IEEE Journal on Emerging and Selected Topics in Circuits and Systems,2012

3. Energy Harvesting Technologies: Analysis of their potential for supplying power to sensors in buildings

4. Power Management Controller for Microgrid Integration of Hybrid PV/Fuel Cell System Based on Artificial Deep Neural Network

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance analysis of the global maximum power point tracking based on spider monkey optimization for PV system;Renewable Energy Focus;2023-12

2. Collaborative Innovation Strategy of Supply Chain in the Context of MCU Domestic Substitution : A Differential Game Analysis;Computational Economics;2023-03

3. Identification of Key Links in Electric Power Operation Based-Spatiotemporal Mixing Convolution Neural Network;Computer Systems Science and Engineering;2023