( Vol 46 , Issue 01 ) | 13 May 2026
Day
Hour
Min
Sec
( Vol 46 , Issue 01 ) | 31 May 2026
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering (ISSN:0258-8013) is a monthly peer-reviewed scopus-indexed journal from 1985 to present. The publisher of this journal is Chinese Society for Electrical Engineering. PCSEE committed to gathering and disseminating excellent research achievements. The journal welcomes all kind of research/review/abstract papers regarding Engineering: Electrical and Electronic Engineering.
Scopus Index (2026)
AIM AND SCOPES
Zhongguo Dianji Gongcheng Xuebao/Proceedings Of The Chinese Society Of Electrical Engineering
-
Electrical Engineering
-
Biological Biosystem Engineering
-
Hardware-software co-design and interfacing
-
Nanotechnology
-
Turbines micro-turbines
-
Power quality
-
Energy optimization
-
HVDC transmission
-
Telecommunication Engineering
-
Integrated Engineering
-
Semiconductor chip
-
Advanced control theories and applications
-
FACTS devices
-
High voltage engineering
-
Electric drives
-
Power electronics
-
Electro-mechanical System Engineering
-
Electronic Engineering
-
Peripheral equipments
-
Machine design and optimization
-
Insulation systems
-
Electrical machines
-
Semiconductor chip
-
Electronic Engineering
All Journal Published Here
Zhongguo Dianji Gongcheng Xuebao/Proceedings Of The Chinese Society Of Electrical Engineering
Review on Inductive Wireless Power Transfer Technology for Underwater Vehicles
The inductive power transfer (IPT) technology provides an effective solution to the power supply of underwater vehicles for the long-time and continuous work, which has a good application prospect. This paper discusses the current hot issues of the underwater IPT technology from the theoretical and applied research aspects, mainly including eddy current loss in seawater calculation, system modeling, magnetic coupler design, and underwater anti-misalignment system design. Finally, the potential future development trends of the IPT technology are discussed from four aspects: deep-sea environm
Prediction of Outlet SO2 Concentration Based on Variable Selection and EMD-LSTM Network
Aiming at the problem that it is difficult to stably control the SO2 concentration at the outlet of the desulfurization system in a coal-fired power plant, a prediction model based on variable selection and empirical mode decomposition (EMD)-long short-term memory network (LSTM) was proposed. First, the relevant variables related to outlet SO2 were determined through mechanism analysis, and the LASSO algorithm was used to remove the redundant variables. Mutual information was used to determine the time delay between input variables and output variables, and time delay compensation was carri
Health Assessment of Lithium-ion Batteries Based on Characteristic Frequency Impedance
With the widespread use of lithium batteries, accurate estimation of the health status of lithium batteries is very important for battery safety management. In order to accurately estimate the health status of lithium batteries and provide strategies for battery management systems, this paper conducted electrochemical impedance spectroscopy tests on lithium batteries with different states of charge and health in a wide temperature range, and analyzed the lithium battery distribution of relaxation time. A method for estimating the state of health of lithium batteries based on electrochemical
Hot Spot Recognition Method of Photovoltaic Infrared Thermal Image Based on Improved Selfish Herd Algorithm
Aiming at the problems of low accuracy and poor generalization ability of infrared thermal image recognition in photovoltaic power generation, a hot spot recognition method based on infrared thermal image and improved selfish sheep algorithm was proposed. By imitating the deep learning classification training process, datasets were made.. Based on the gaussian distribution, a hot spot recognition function was presented. The survival value after the selfish herd algorithm was improved by using datasets of hot spot recognition function of the location parameters optimization. Then, all kinds
A Coupled Model for Predicting the Tube Temperature of Platen Superheater of Coal-fired Boiler
Overheating of boiler heating surface seriously affects the safe operation of power plant. The tube temperature of boiler heating surfaces is affected by both the gas side heat transfer and steam heat absorption. Thus, this paper presented a coupled heat transfer calculation model in which the combustion and heat transfer of gas flow was simulated by 3D CFD model; while the steam flow in the tubes was simulated by a 1D Flownex model. The two models were coupled by exchanging the data of boiler heating surface heat flux and the steam temperature in the tubes. This coupled heat transfer model