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2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)最新文献

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Design of SRM based Powertrain for e-rickshaw application 基于SRM的电动三轮车动力系统设计
2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON) Pub Date : 2022-05-05 DOI: 10.1109/PECCON55017.2022.9851030
S. Padma Rani, R. Jayapragash
{"title":"Design of SRM based Powertrain for e-rickshaw application","authors":"S. Padma Rani, R. Jayapragash","doi":"10.1109/PECCON55017.2022.9851030","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851030","url":null,"abstract":"Switched Reluctance Motor (SRM) is gaining popularity in the vehicle industry due to its robust construction. SRM is a popular choice for EV applications due to its magnet-free structure, fault tolerance, and high power/ torque density. The main goal of this work is to create an efficient SRM-based electric power train for a 3-wheeler application. The tractive force and the power requirement of the electric motor for this application are calculated. A geometry-based analytical model of 4-phase 8/6 and 3-phase 6/4 SRM configurations with a power rating of 1kW are developed. The results obtained from the analytical model are compared with the Finite Element Analysis (FEA) model of the same power rating. The performance metrics such as power density, torque density, mass, and maximum torque developed are estimated and the results are summarized. The electromagnetic design tool MagNet is used to derive the static and transient characteristics of the SRM configurations, and the findings are reported. Modal analysis is performed to investigate the deformation of SRM configurations corresponding to various natural frequencies using a multi-physics design tool-Ansys.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116769513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A New Energy-Efficient Ohmic heating Based Instant Rice Preparation 一种新型节能欧姆加热即食大米制备技术
2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON) Pub Date : 2022-05-05 DOI: 10.1109/PECCON55017.2022.9851063
Vijayalakshmi S, S. R, Reka. J, M. M, Lakshmi. D, N. M.
{"title":"A New Energy-Efficient Ohmic heating Based Instant Rice Preparation","authors":"Vijayalakshmi S, S. R, Reka. J, M. M, Lakshmi. D, N. M.","doi":"10.1109/PECCON55017.2022.9851063","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851063","url":null,"abstract":"This research paper presents the development of instant rice using electrical technology. Experimental investigations have been carried out to study the electrical methodology used for the preparation of instant rice by passing blast of hot air through the rice for a constant residence time with temperature variations controlled by the electric heater. The experimentation was further continued with different residence time at constant temperature of rice. Detailed study was conducted with specially fabricated electrical equipment's to optimize air flow rate, rice temperature and energy consumption to produce instant rice. The instant rice produced was thoroughly analyzed and tested for nutritional values and for the cooking requirements in the research laboratory.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126752393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Wind Turbine Power Output Forecasting Using Artificial Intelligence 利用人工智能预测风力发电机输出功率
2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON) Pub Date : 2022-05-05 DOI: 10.1109/PECCON55017.2022.9851008
Tejasvita Bhardwaj, Sumit Mehenge, B. Revathi
{"title":"Wind Turbine Power Output Forecasting Using Artificial Intelligence","authors":"Tejasvita Bhardwaj, Sumit Mehenge, B. Revathi","doi":"10.1109/PECCON55017.2022.9851008","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851008","url":null,"abstract":"In this paper, wind turbine power output is predicted using Artificial intelligence (AI) techniques. The AI techniques used for predictions are Machine Learning (ML) algorithm and Deep Learning (DL). In ML, polynomial regression is used and Long Short Term Memory(LSTM) was used in DL. This forecasting is long-term forecasting that uses three years of data collected from NIWE (National Institute of Wind Energy) and the results can be used directly for the planning of energy management. Various environmental factors were taken into consideration for forecasting for better accuracy and results. The AI helps to predict the wind turbine output with high accuracy by considering the linear and non-linear types of dataset. This technique can also be used for the preventive maintenance of wind turbines and before the installation of wind power plants in an unfamiliar place to determine the corresponding wind potential.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129903209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Intelligent PSO- PID Controller Based Maximum Power Point Tracking (MPPT) for Photovoltaic System 基于PSO- PID的光伏系统最大功率点跟踪
2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON) Pub Date : 2022-05-05 DOI: 10.1109/PECCON55017.2022.9851173
I. M. M. Eltigani, U. Nangia
{"title":"Intelligent PSO- PID Controller Based Maximum Power Point Tracking (MPPT) for Photovoltaic System","authors":"I. M. M. Eltigani, U. Nangia","doi":"10.1109/PECCON55017.2022.9851173","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851173","url":null,"abstract":"In this paperwork, application of the PSO based Proportional, Integral, and Derivative controller (PID Controller) for tracking maximum power point associated with DC-DC boost converter for Photovoltaic System (PV) is discussed. An intelligent PSO-PID controller has been proposed to achieve optimal performance in tracking PV power. To get the amount for parameters of PID controller gain a particle swarm optimization algorithm (PSO) has been used in dynamic conditions. In the case of low errors, the hyperbolic cosine non-linear method has been utilized to considerably reduce the system's settling time and control proportional gain. The results show that the proposed controller has a lower settling time, low power loss, and fast response time compared with PSO techniques, which enhance the efficiency and dynamic performance of the photovoltaic system.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133891109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Simulation and Analysis of Proposed Technique for BLDC Motor Drive Running on Deduced Hall Sensor Equivalent Signals 基于霍尔传感器等效信号的无刷直流电机驱动方法的仿真与分析
2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON) Pub Date : 2022-05-05 DOI: 10.1109/PECCON55017.2022.9851110
K. Ranjani, M. Sreejeth
{"title":"Simulation and Analysis of Proposed Technique for BLDC Motor Drive Running on Deduced Hall Sensor Equivalent Signals","authors":"K. Ranjani, M. Sreejeth","doi":"10.1109/PECCON55017.2022.9851110","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851110","url":null,"abstract":"Brushless DC (BLDC) motor is used with hall sensors for many applications like in electric vehicles and robotics. Certain working environments of the motor can affect the functionality of hall sensors and can even cause complete failure. If the hall sensors functionality is affected, it would affect the whole working of system and can make system unstable depending upon the fault that incurred in hall sensors due to their effect on switching pattern timing. So, here hall signals have been deduced, making the operation sensor-less. This paper presents a sensor-less method of BLDC motor operation using 120° trapezoidal commutation method. Further, a Matlab Simulink model is developed where, the hall equivalent signals are deduced from phase voltages in the proposed method. Finally, simulation analysis is carried out for the proposed method by starting the motor using original hall sensor values and then suddenly shifting to the proposed deduced hall signal method. The paper explores the possible application of this method in case of any hall sensor failure also.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124608197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Energy Storage System with Artificial Neural Networks using PI Hybrid Controllers 基于PI混合控制器的人工神经网络储能系统
2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON) Pub Date : 2022-05-05 DOI: 10.1109/PECCON55017.2022.9851074
Tushar Aggarwal, Sarthak Thareja, Shwetang Bahadur, J. Kesari
{"title":"Energy Storage System with Artificial Neural Networks using PI Hybrid Controllers","authors":"Tushar Aggarwal, Sarthak Thareja, Shwetang Bahadur, J. Kesari","doi":"10.1109/PECCON55017.2022.9851074","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851074","url":null,"abstract":"EV Hybrid Energy Storage Techniques of system design are considered. Increasing electricity consumption necessitates greater monitoring and management, as well as additional obstacles in designing and refining specific solutions. Building, transportation, and trade are examples of such initiatives. A large number of people own portable computers. The capacity to store renewable energy for extended periods must be distinguished from energy saving technologies. The nature and scope of this issue need extensive investigation. We can better comprehend the value of electric cars for hybrid energy storage if we understand each other's perspectives. The authors employ neural networks and PI to provide accurate, distortion-free outputs. In this paper, a hybrid electric energy storage system for electric vehicle is simulated using Neural Network and PI combined controller. The results show that the use of artificial neural network and PI controller have reduced the distortions and noise level in output which will improve the lifetime of the system.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"19 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113961904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Physically Secure and Privacy Preserving Blockchain Based Authentication Scheme for IoT Enabled Farms 支持物联网农场的物理安全和隐私保护基于区块链的认证方案
2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON) Pub Date : 2022-05-05 DOI: 10.1109/PECCON55017.2022.9851138
S. Jegadeesan, S. Dharshini, M. Jeevitha, R. Saranya
{"title":"Physically Secure and Privacy Preserving Blockchain Based Authentication Scheme for IoT Enabled Farms","authors":"S. Jegadeesan, S. Dharshini, M. Jeevitha, R. Saranya","doi":"10.1109/PECCON55017.2022.9851138","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851138","url":null,"abstract":"Farmers can access agricultural data through a blockchain-based smart farming system. Only the trusted device can be accessed through a mutual user authentication technique that protects the user's privacy. In the existing system of smart contracts, the information is sent directly to the device so that, if any damage occurs it cannot be intimate. To overcome the above issues, we designed a physical blockchain that is both a secure and private-based authentication scheme for 10T-enabled farms. In this proposed work, the blockchain-based simulation will intimate if any damage occurs in a smart farm by using the physically unclonable function (PUF). As a result, our suggested system demonstrates that the technique sensor with resource constraints can be made secure and efficient.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125437366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An optimized MPPT method for PV system with fast convergence under rapidly changing of irradiation 光照快速变化下PV系统快速收敛的优化MPPT方法
2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON) Pub Date : 2022-05-05 DOI: 10.1109/PECCON55017.2022.9851107
G. Vijayakumar, M. Sujith, Swaminathan Saravanan, D. Pardeshi, M. A. Inayathullaa
{"title":"An optimized MPPT method for PV system with fast convergence under rapidly changing of irradiation","authors":"G. Vijayakumar, M. Sujith, Swaminathan Saravanan, D. Pardeshi, M. A. Inayathullaa","doi":"10.1109/PECCON55017.2022.9851107","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851107","url":null,"abstract":"The (P- V) bend of a sunlight-based cell has one place where the extricated power is most extreme and is alluded as Maximum Po werPoint. Additionally, the qualities of the photovoltaic cell are not direct and change with atmospheric conditions (temperature and enlightenment). A Maximum Power Point Tracker (MPPT) is a blend of equipment and programming that is utilized to follow and decide this point from the sun-oriented cell. There are a few calculations that have been utilized to run the MPPT, among them is the Perturb and Observe (P&O) strategy. The benefit of the P&O procedure is proficiency and effortlessness. The downside of the P&O is that it loses the MPP following under quick difference in the light. To speed up, the following advances should be expanded which consequently lessens the precision of the MPPT. In this paper, the P and O calculation is adjusted to tackle the following rate issue under quick illumination change.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125552808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparison of Sliding Mode Controllers on a DFIG-Wind Turbine Generator for Improving LVRT 用于改进LVRT的dfig -风力发电机组滑模控制器比较
2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON) Pub Date : 2022-05-05 DOI: 10.1109/PECCON55017.2022.9851145
R. Hiremath, T. Moger
{"title":"Comparison of Sliding Mode Controllers on a DFIG-Wind Turbine Generator for Improving LVRT","authors":"R. Hiremath, T. Moger","doi":"10.1109/PECCON55017.2022.9851145","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851145","url":null,"abstract":"There is a significant risk of grid failure for the grid-connected Doubly Fed Induction Generators (DFIG). There must be some thought put into the controller design for the DFIG's sensitivity to grid disruptions. We compare the Low Voltage Ride Through (LVRT) improvement using a Second Order Sliding Mode (SOSM) and First Order Sliding Mode (FOSM) controller under voltage sag conditions in this study. Sliding surface control convergence is aided by SOSM higher-order switching function augmentations. As a result of the SOSM's reduced chattering impact and enhanced system parameter settlement time, it has many benefits. By using MATLAB/SIMULINK, we are able to evaluate the SOSM's performance to that of other FOSM controllers that have been published. An analysis of DFIG-Wind Turbine (WT) system simulations found that SOSM controllers improved the system's LVRT capacity.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125036073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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