Multidisciplinary Design Optimization of a UPS Rectifier Using the AI-Aided Design Optimization Technology AI-Aided Design Optimization 기술을 이용한 UPS 정류기의 다분야통합최적설계 Dong-Hoon Choi ․ Dong-Ju Lee

Multidisciplinary Design Optimization of a UPS Rectifier Using the AI-Aided Design Optimization Technology AI-Aided Design Optimization 기술을 이용한 UPS 정류기의 다분야통합최적설계 Dong-Hoon Choi ․ Dong-Ju Lee

 Abstract A multidisciplinary design optimization (MDO) was performed for a rectifier, which is one of key components of uninterruptible power supplies (UPS), using AI-Aided Design Optimization (AADO) technology. First, the design variables and performance indices of the target rectifier were clearly defined to formulate a MDO problem. Then, a multidisciplinary analysis procedure was established using commercial simulation software. Through AADO technology, optimal circuit design variables and heatsink shape parameters were successfully determined, achieving a 36.1% reduction in heatsink volume while satisfying various constraints on circuit performance and temperature.

 DOWNLOAD LINK: http://journal.auric.kr/AURIC_OPEN_temp/RDOC/kiee01/kieet_202504_009.pdf

Online rapid diagnosis method of lithium-ion battery health status based on multi-point impedance Yu Siqi, Mou Xianmin, Chen Xiyou, Fan Xianguo, Yan Wenqian New Technology of Electrical Engineering and Energy. 2025

 Online rapid diagnosis method of lithium-ion battery health status based on multi-point impedance Yu Siqi, Mou Xianmin, Chen Xiyou, Fan Xianguo, Yan Wenqian New Technology of Electrical Engineering and Energy. 2025 

 Abstract With the widespread use of lithium-ion batteries, rapid diagnosis of the health state of lithium-ion batteries has attracted extensive attention. Aiming at the traditional impedance diagnostic methods, which are affected by the change of state of charge (SOC) during online measurement, involving complex calculations, and less impedance information obtained, this paper conducts electrochemical impedance spectroscopy on lithium-ion batteries with different states of charge (SOH) and different states of health (SOH) and establishes a more physically interpretable equivalent circuit model by decoupling the complex dynamics in lithium batteries through the distribution of relaxation time (DRT) method. Based on the dependence of the characteristic peaks of the relaxation time distribution function on the SOC and SOH, three characteristic frequency points are screened for online impedance measurements. A fast online SOH estimation method with multi-point impedance is proposed, which can infer the state of health of the battery based on the characteristic impedance measurement data injected by the superposition of multiple feature frequency points at a time. It is experimentally verified that the method has good accuracy and practicality in online battery characteristic parameter measurement and health state estimation.

VIEW FULL PAPER: https://ateee.iee.ac.cn/CN/10.12067/ATEEE2307009

Review of application on power electronic technology in on-load tap changer SONG Dong-dong1,2, CHENG Lin1, LIN Zhi-fa1, FAN Jing-ming3, DU Hai-jiang1

 Review of application on power electronic technology in on-load tap changer SONG Dong-dong1,2, CHENG Lin1, LIN Zhi-fa1, FAN Jing-ming3, DU Hai-jiang1 

 Abstract Various aspects of the power system operating state of dynamic change will cause voltage fluctuations, so the dynamic voltage control equipment is widely used in the power system. A combination of on-load tap changer (OLTC) and multi-tap transformer is commonly used in the regulating means, also to be the main method of power supply and distribution network in the field of low voltage control. In view of the various defects of the conventional mechanical OLTC, more attention is gradually paid to the power electronics technology. The combination of OLTC with the power electronics technology can be divided into two types: hybrid of mechanical and electrical ones and fully electronic ones. The paper summarizes the ability of arc suppression and operating principles of the new types of OLTC by status analysis of the topology, and also presents the development and key problems of application of power electronics technology in the OLTC. The paper also puts forward a reference for further study of the application of the new OLTC and the best solution for the diversified development of power system.

VIEW FUL PAPER: https://ateee.iee.ac.cn/EN/10.12067/ATEEE1610002

On Load Single Phase Solid State Tap Changer Mohammad H. Taha Electrical and Computer Engineering Department, Rafik Hariri University, Lebanon

 On Load Single Phase Solid State Tap Changer Mohammad H. Taha Electrical and Computer Engineering Department, Rafik Hariri University, Lebanon 

Abstract-In electric energy transmission and distribution system, voltage control is an essential part to maintain proper voltage limit at the consumer’s terminal. On-load tap-changers are indispensable in regulating power transformers used in electrical energy networks and industrial applications. General switching principles and application for the On-load tap-changers are discussed and presented. A single phase Tap-Changer using a GTO with antiparallel thyristor to perform switching of one upward or downward transition is described in this paper. The logic of operation, simulation and experimental results for resistive, inductive loads are presented. 

VIEW FULL PAPER: https://www.mediafire.com/file/23llfzd6n90fkc2/IJET+2-2+June+2016,+Basım+kopyası_b1107759a0d14496bb358d3b3135f268-AA.pdf/file

Aplikace neuronových sítí v řízení střídavých regulovaných pohonů s asynchronním motorem Application of neural networks in the control of induction motor drives Jakub Bača

 Aplikace neuronových sítí v řízení střídavých regulovaných pohonů s asynchronním motorem Application of neural networks in the control of induction motor drives 

 Abstract This doctoral thesis deals with the use of artificial neural networks in the field of control of electric drives. In particular, the thesis focuses on the application of neural networks in systems intended for estimation of the state variables of an induction motor. Four sensorless vector control schemes have been implemented, in which an offline-trained feedforward neural network is utilized. The first solution uses a neural network which directly provides the estimated mechanical angular speed, the rotor flux is determined using the current model. The second solution is based on the use of the RF-MRAS speed observer, in this case, a neural network is used in the place of the reference model, it replaces the voltage model, thereby the problem of pure integration is eliminated. The main focus was on the CB-MRAS observer. Two new modifications of CB-MRAS with a neural network in the place of the current estimator have been proposed. The experimental results show an improvement in the accuracy and stability of CB-MRAS in the regenerating mode. The verification was performed employing an experimental drive equipped with a 2.2 kW induction motor and controlled by a control system which is based on the TMS320F28335 digital signal controller. In order to work with neural networks, the control system has been extended with a communication interface that allows the collection of data needed for designing and testing neural networks. For all implemented methods, the obtained results show a high level of accuracy in the low speed range. The main contributions of the dissertation are as follows:  Creation of a laboratory workplace with an induction motor for working with control algorithms based on artificial neural networks.  Experimental verification of four methods of sensorless vector control, which are based on the use of an artificial neural network.  Experience with the design and training of artificial neural networks for given applications.  Design of two modifications of the CB-MRAS observer consisting in the use of an artificial neural network. VIEW FULL THESIS: https://dspace.vsb.cz/bitstream/handle/10084/145893/BAC0034_FEI_P2649_2642V004_2021.pdf?sequence=1&isAllowed=y