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Battery Management System Performance Enhancement using Single Sliding Mode Based Charge Equalization controller

Journal of Physics: Conference Series 2021年第1期2128卷

作者： Ali Ashraf Abdul-Azim Sobaih Essam Nabil Dept. of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf Egypt (fax: +***)

In this paper, the study aims to evolve a precision model of a Battery charge equalization controller (BCEC) that manage each cell of a lithium-ion (Li-ion) battery, monitoring a nd balancing by charging a nd discharging a series-connected Li-ion battery with several cells (n) in electric vehicle (E.V.) applications. An intelligent Sliding mode controller is evolved to activate bidirectional cell switches and regulate a chopper circuit's direct current (DC-DC flyback converter circuit) with PWM generation. To implement a small-scale BCEC, the model consists of individual models of an E.V., cells of Li-ion battery, a fly-back converter, and a single sliding mode controller (SSMC) for charging and discharging are integrated with n series-connected cells of Li-ion-battery. The BCEC output shows that the cells are operated within a safe range, and the difference in the state of charge (SOC) is maintained to be 0.1%. Comparing the developed BCEC with the existing controllers, with the performance, control algorithm, efficiency, power loss, size, and cost.

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Voltage balancing control of input voltage source employing series-connected capacitors in 7-level PWM inverter

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Transactions of the Korean Institute of Electrical Engineers 2018年第2期67卷 209-215页

作者： Kim, Jin-San Kang, Feel-soon Dept. of Electrical and Electronic Engineering Hanbat National University Korea Republic of Dept. of Control and Instrumentation Engineering Hanbat National University Korea Republic of

This paper present a 7-level PWM inverter adopting voltage balancing control to series-connected input capacitors. The prior proposed 7-level PWM inverter consists of dc input source, three series-connected capacitors, two bidirectional switch modules, and an H-bridge. This circuit topology is useful to increase the number of output voltage levels, however it fails to generate 7-level in output voltage without consideration for voltage balancing among series-connected capacitors. Capacitor voltage imbalance is caused on the different period between charging and discharging of capacitor. To solve this problem, we uses the amplitude modulation of carrier wave, which is used to produce the center output voltage level. To verify the validity of the proposed control method, we carried out computer-aided simulation and experiments using a prototype. © The Korean Institute of Electrical Engineers.

关键词： Electric inverters

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Bidirectional dc-to-dc converter employing dual inductor for current ripple reduction

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Transactions of the Korean Institute of Electrical Engineers 2018年第4期67卷 531-537页

作者： Lee, Gi Yeong Kang, Feel-Soon Dept. of Electrical and Electronic Engineering Hanbat National University Korea Republic of Dept. of Control and Instrumentation Engineering Hanbat National University Korea Republic of

This paper propose a bidirectional dc-to-dc converter employing dual inductor for current ripple reduction. Conventional bidirectional dc-to-dc converter uses a single inductor for two different modes;boost and buck;therefore it is difficult to satisfy the optimized inductance value for each mode. To improve this problem, the proposed converter adds two switches, a diode, and one inductor. By proper switching of the additional switch, the proposed converter operates with a inductor in boost mode, but it works with dual inductor in buck mode. Hence in both modes the proposed bidirectional converter can be operated with optimized inductance values. Most of all the optimized inductance in buck mode can reduce the current ripple and its effective value(rms), which are directly related to the temperature increase resulted in short lifetime of battery. To verify the validity of the proposed approach, we first analyzes the operation of the proposed converter theoretically, and implement computer-aided simulations and experiments using a prototype. Copyright © The Korean Institute of Electrical Engineers

关键词： Inductance

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Attribute Rule performance in Data Mining for Software Deformity Prophecy Datasets Models

Attribute Rule performance in Data Mining for Software Defor...

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Advances in the Emerging Computing Technologies (AECT), International Conference on

作者： Salahuddin Shaikh Liu Changan Maaz Rasheed Malik School of Control & Computer Engineeringt North China Electric Power Universty Beijing China dept. of Information Communication Engineering Guilin University of Electronic Technology Guilin China

ISBN: (数字)9781728144528

ISBN: (纸本)9781728144535

In recently, all the developers, programmer and software engineers, they are working specially on software component and software testing to compete the software technology in the world. For this competition, they are using different kind of sources to analysis the software reliability and importance. Nowadays Data mining is one of source, which is used in software for overcome the problem of software fault which occur during the software test and its analysis. This kind of problem leads software deformity prophecy in software. In this research paper, we are also trying to overcome the software deformity prophecy problem with the help of our proposed solution called ONER rule attribute. We have used REPOSITORY datasets models, these datasets models are defected and non-defected datasets models. Our analysis class of interest is defected models. In our research, we have analyzed the efficiency of our proposed solution methods. The experiments results showed that using of ONER with discretize, have improved the efficiency of correctly classified instances in all. Using percentage split and training datasets with ONER discretize rule attribute have improved correctly classified in all datasets models. The analysis of positive accuracy f-measure is also increased in percentage split during the use of ONER with discretize but in some datasets models, the training data and cross validation is better with use of ONER rule attribute. The area under curve (ROC) in both scenarios using ONER rule attribute and discretize with ONER rule attribute is almost same or equal with each other.

关键词： Software Data mining Deformable models Measurement Data models Object oriented modeling Testing

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Attribute rule performance in data mining for software deformity prophecy datasets models

Attribute rule performance in data mining for software defor...

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2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019

作者： Shaikh, Salahuddin Changan, Liu Malik, Maaz Rasheed North China Electric Power Universty School of Control Computer Engineeringt Beijing China Guilin University of Electronic Technology Dept. of Information Communication Engineering Guilin China

ISBN: (纸本)9781728144528

关键词： Data mining

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Feed-forward control for a Drinking Water Treatment Plant chlorination process

Feed-forward control for a Drinking Water Treatment Plant ch...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： J. Gamiz H. Mart´nez A. Grau Y. Bolea R. Vilanova Automatic Control Dept. Universitat Politecnica de Catalunya UPC Barcelona Dept. de Sistemas de Control Industrial de Aguas de Barcelona Aigües de Barcelona Barcelona Department of Electronic Engineering Universitat Politecnica de Catalunya UPC Barcelona Department of Telecommunications and Systems Engineering Universitat Autonoma de Barcelona Barcelona

ISBN: (数字)9781728189567

ISBN: (纸本)9781728189574

Chlorination in drinking water treatment plants (DWTP) is the final process applied to water before it is sent to storage tanks in the supply network for subsequent human consumption. An excessive dosage of chlorine or, conversely, too small a dosage, may breach existing legal regulations on mandatory limits. In DWTP where there is no significant variability in the quality of the water to be treated, a type of control that is proportional to the flow rate in the effluent can have fully satisfactory results. Therefore, Proportional-Integral (PI) control is a rather frequently used solution. However, when there are inherently long delays in the process, variability in the quality of the water to be treated and considerable variations alternative type is needed. This article presents the strategy and results of a control method that proposes a Fuzzy based feed-forward system to complement an existing PI control. The control system results are shown as applied to the DWTP of Barcelona city, producing satisfactory experimental results.

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Assembly defect classification of SMD components by cascade convolutional neural network

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Transactions of the Korean Institute of Electrical Engineers 2019年第10期68卷 1236-1243页

作者： Ryu, Jong-Hyun Kim, Young-Gyu Park, Tae-Hyoung Dept. of Control and Robot Engineering Chungbuk National University Korea Republic of School of Electronics Engineering Chungbuk National University Korea Republic of

In this paper, we propose the classification method of assembly defects in the surface mount technology process. We used a cascade convolution neural network which two convolutional neural networks were merged into one network, for assembly defect classification. The first network classifies whether the surface mount device (SMD) is defect or not. The second network classify the result of the first network more detail. We classified the SMD defects as six types using a cascade convolution neural network. Experiment result shows that the proposed method can optimize memory usage and improve classification accuracy compared to previous methods. Copyright © The Korean Institute of Electrical Engineers.

关键词： Convolution

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A study on the control technique of LLC resonant converter for LED driver with 120Hz ripple current

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Transactions of the Korean Institute of Electrical Engineers 2019年第12期68卷 1557-1565页

作者： Kwon, Min-Jun Lee, Woo-Cheol Dept. of Electrical Electronic and Control Engineering Institute for Information Technology Convergence Hankyong National University Korea Republic of

LED(Light Emitting Diode) lighting is a light source used in various fields because of its high efficiency. In order to operate the LED, a driver consisting of a PFC(Power Factor Corrector) converter and a DC-DC converter to keep the constant current in the LED is required. DC link capacitors in LED driver can have 120Hz voltage ripple during rectification. This voltage ripple can also affect the DC-DC converter and cause 120Hz current ripple on the LED output current. LED current ripple affects power quality and system performance. Therefore, research is needed to reduce current ripple. This paper is a study on the control technique of LLC resonant converter for LED driver with 120Hz ripple current. The direct forward compensation method using the ripple current is explained base on the LLC resonant converter which is widely used as the LED power supply. The validity of the analysis and compensation method was investigated by simulation and experiment. Copyright © The Korean Institute of Electrical Engineers.

关键词： Light emitting diodes

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Design of neural nonlinear PFC controller to control speed of autonomous car

arXiv

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arXiv 2019年

作者： Asaad, Isam Chiha, Bilal Dept. of Computers and Automatic Control Faculty of Mechanical and Electronic Engineering Tishreen University Syria

In this research, we are going to design a neural nonlinear predictive functional controller (PFC) to achieve a reduced fuel consumption for a chosen autonomous car walks according to a supplied speed trajectory on known roads. We used a fitting neural network as a simple tool for modelling the car's engine and control laws needed to calculate the suitable control commands passed to the brakes and gas pedals' actuators. Independent model method and constraints handling are used to provide controller robustness. We used MATLAB Simulink and IPG CarMaker to design and test our PFC controller. The performance of designed PFC controller is compared to the performance of a PI controller which exists within IPG CarMaker simulator. Copyright © 2019, The Authors. All rights reserved.

关键词： controllers

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Moisture Content Detection System by using Microwave Sensor

Moisture Content Detection System by using Microwave Sensor

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2019 Research, Invention, and Innovation Congress, RI2C 2019

作者： Seewattanapon, Somporn Tripetch, Kittipong Lertwiriyaprapa, Titipong Akkaraekthalin, Prayoot Rajamangala University of Technology Suvarnabhumi Dept. of Electronic and Telecommunication Engineering Nonthaburi Thailand Industrial Electric and Control System Research Center Faculty of Technical Education King Mongkut's University of Technology North Bangkok Dept. of Teacher Training in Electrical Engineering Bangkok Thailand Faculty of Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand

ISBN: (纸本)9781728141008

This paper presents microwave sensor system for moisture content measurement of paddy in hopper silo. The sensor utilizes near-field transmission measurement technique operating at 400-500-MHz implemented by using double dipole antenna fabricated on FR-4 substrate. This proposed system is installed at the bottom of the hopper silo to collect moisture content. The moister contents of paddy in hopper silo from 12%-30% are measured and characterized. The extracted moisture contents from the sensors in this paper show an agreement of higher than 93% as compared with the commercial instrument in rice mill. In the system testing, the detection system is installed besides the silo 50 ton. IoT system was used to collect the result such as moisture and temperature of the system. © 2019 IEEE.

关键词： Microwave sensors

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