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_第4页

IOT Enabled Smart Inverter for Rural Applications 用于农村应用的物联网智能逆变器

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/PECCON55017.2022.9851099

R. Pradyumna, N. Raja, M. Akash, J. Meenakshi, Nilanjan Tewari

{"title":"IOT Enabled Smart Inverter for Rural Applications","authors":"R. Pradyumna, N. Raja, M. Akash, J. Meenakshi, Nilanjan Tewari","doi":"10.1109/PECCON55017.2022.9851099","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851099","url":null,"abstract":"In this paper a smart inverter consisting of two user interactive displays suitable for usage in rural schools of India is proposed. The system consists of a battery powered inverter connected to various loads and a user interactive display module. A single phase square wave inverter is used to convert input DC power to AC power. Two separate dashboards are provided:- one for the non-technical user where the only required information such as battery State of Charge (SOC) and duration left for depletion while the other providing information to the technical staff to control and monitor the system for timely maintenance. The system is modelled using MATLAB/Simulink. MQTT (Message Queue Telemetry) protocol is used to display the necessary information from Simulink to the dashboard interface. With the help of the dashboard interface, the user can not only manage the connected loads but also control and monitor the load power drawn, battery percentage & status of the connected devices through web URL or mobile application through which the user can connect/disconnect the loads based on their requirements. In addition to the above mentioned features, the battery is connected to the grid for charging whenever the SOC level decreases below a set threshold. Furthermore, an alert system is proposed to inform the user with the battery charge status constantly. Results are presented to validate the proposed concept.","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":"116 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":"133297089","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

OPTIMIZATION OF SOLAR ENERGY SYSTEM FOR CHARGING OF EV AT AN INSTITUTION CAMPUS 某高校校园电动汽车充电太阳能系统优化研究

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/PECCON55017.2022.9851044

Praveen T, Nishanthy J, C. S., Arockia Edwin Xavier S

引用次数: 0

Hybrid Control Algorithm for BLDC Drive Involving Battery and Supercapacitor in E-bikes 电动自行车电池与超级电容器无刷直流驱动混合控制算法

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/PECCON55017.2022.9851060

V. S, Abinash Dash, Praveena Krishna P. S., A. M, J. S.

引用次数: 0

Electric Vehicle Charging using a Bidirectional DC-DC Converter and an ANFIS Controller 基于双向DC-DC变换器和ANFIS控制器的电动汽车充电

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/PECCON55017.2022.9851017

Aman Chaudhary, Akash Sirra, Shailesh Singh Dhangal

{"title":"Electric Vehicle Charging using a Bidirectional DC-DC Converter and an ANFIS Controller","authors":"Aman Chaudhary, Akash Sirra, Shailesh Singh Dhangal","doi":"10.1109/PECCON55017.2022.9851017","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851017","url":null,"abstract":"The electric car is now in great demand; however, the problem with them is noise in the output and large fluctuations, both of which must be resolved in the future. While hybrid electric cars provide many of the same advantages as hybrid automobiles, the key difference is that the vehicles are powered by an electric motor that is driven by an energy storage system that draws energy from batteries or the grid to supplement the primary energy source. The electric motor may also serve as a generator, converting the energy captured by the vehicle's regenerative braking system into electricity stored in the vehicle's energy storage unit. Typically, an energy conservation study of a vehicle employs a hybrid control technique that distributes the load across several operating modes, such as vehicle operation, to achieve energy saving. It is the purpose of this paper to explore the introduction of an electric vehicle (EV) design and its use in conjunction with a combined energy storage system. This article describes a novel hybrid energy storage technique for electric vehicles that will improve long-distance endurance while also lowering costs. It is proposed in this paper that an optimal control technique for a hybrid energy storage device be implemented using a dynamic constraint rule-based management of the Li-ion battery's capacity and the supercapacitor's state of charge in conjunction with an optimal control technique for a hybrid energy storage device. Because of the usage of an ANFIS controller, hybrid energy storage systems are able to provide outputs that are more precise and distortion-free.","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":"34 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":"124497024","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

Design and Development of a 3.2 kW Wireless Battery Charger for an Electric Vehicle with a High-Frequency Full-Bridge Converter Using MATLAB Simulink 基于MATLAB Simulink的高频全桥变换器3.2 kW电动汽车无线充电器的设计与开发

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/PECCON55017.2022.9851009

Abhishek Ranjan, P. Ghosh, Utkarsh Alset, Hrishikesh Mehta

{"title":"Design and Development of a 3.2 kW Wireless Battery Charger for an Electric Vehicle with a High-Frequency Full-Bridge Converter Using MATLAB Simulink","authors":"Abhishek Ranjan, P. Ghosh, Utkarsh Alset, Hrishikesh Mehta","doi":"10.1109/PECCON55017.2022.9851009","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851009","url":null,"abstract":"In this paper, the design of a high-frequency power converter based wireless battery charger is proposed for efficient transmission of electricity. Wireless battery charging enables the users to use their electric vehicles without any attached connectors. Wireless power transfer technology (WPTT) has advantages like ease of operation, low maintenance, high safety, high reliability, and highly durable operational service life. It is already being used in a wide variety of applications such as mobile battery chargers, space, military, and biomedical applications. However, the design of a wireless power battery charging scheme requires the critical design of inductive coils which includes careful selection of their inductances. According to the design of the coil, the distance between transmitter and receiver coil and the power required to be transferred, a high-frequency full-bridge converter is required to be tuned. In this paper, the effect of self inductances of the wireless inductive coils and the distance between them in the form of mutual inductance with respect to frequency of power converter is studied using MATLAB / Simulink environment. A 60V, 30Ah lithium-ion battery pack is charged with the designed wireless battery charger. The theoretical and simulation results presented in this paper suggest that with the help of a high-frequency bridge converter wireless power transfer at an efficiency of 85 % can be achieved with an air gap of 10 cm between the coils.","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":"275 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":"132824849","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 Comprehensive Analysis on the Performance of SiC and GaN Devices SiC和GaN器件性能的综合分析

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/PECCON55017.2022.9851186

Ranjeeta Patel, Babita Panda, Snehalika, P. Dash

引用次数: 0

Modeling a Series Topology for 27-Level Multilevel Inverter with reduced number of switches and voltage sources 减少开关和电压源数量的27电平多电平逆变器的串联拓扑建模

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/PECCON55017.2022.9851167

L. Nanda, Babita Panda, Aman Sharma, Arjyadhara Pradhan, C. Jena, Sudip Nandi

{"title":"Modeling a Series Topology for 27-Level Multilevel Inverter with reduced number of switches and voltage sources","authors":"L. Nanda, Babita Panda, Aman Sharma, Arjyadhara Pradhan, C. Jena, Sudip Nandi","doi":"10.1109/PECCON55017.2022.9851167","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851167","url":null,"abstract":"From a simple power backup system for home to high power HVDC transmission of electricity, inverter plays a vital role in converting the DC power into sinusoidal AC. From the prospective of utilization of renewable energy, solar power comes first among all and it is only capable of giving DC power as its output. Again, in order to utilize that DC power to run our household appliances, inverter comes into picture. Since the invention of inverter is constantly undergone many technological advancements, starting from development of switching gates, advancement in the power handling capacities and increasing efficiency. Reducing the switching loss, increasing the level, reducing harmonics and improvement in triggering circuitry is now the research area in the field of inverter. This paper presents the modelling and control of multilevel inverter. Here the series topology is implemented to attain 27 voltage levels using 13 switch counts. The proposed model presented in this paper have been simulated in MATLAB/Simulink software package and the THD of the respective output from the model has been determined by FFT Analysis option provided in software.","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":"5 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":"115949441","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

Monitoring and saving Humidity &Temperature through the Internet of Things 通过物联网监测和保存温湿度

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/PECCON55017.2022.9851155

S. Vijayalakshmi, M. Marimuthu, B. Paranthagan, V. S. Kumar, S. Sanjay, A. Vikash

引用次数: 0

A Neural Network Based Hybrid Energy Storage System Connected to a DC Standalone PV System 基于神经网络的混合储能系统与直流独立光伏系统的连接

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/PECCON55017.2022.9851153

Pallavi Mohan R, R. Sreelekshmi, M. Nair

引用次数: 0

CNN Trained Speaker Recognition System in Electric Vehicles CNN训练的电动汽车说话人识别系统

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/PECCON55017.2022.9851029

Pavani Budiga, B. B, Gourimahadevi Gunisetty, Nalini Devi Moka, G. Reddy

{"title":"CNN Trained Speaker Recognition System in Electric Vehicles","authors":"Pavani Budiga, B. B, Gourimahadevi Gunisetty, Nalini Devi Moka, G. Reddy","doi":"10.1109/PECCON55017.2022.9851029","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851029","url":null,"abstract":"Speaker recognition is the technique of determining a person's identity based on their voice features. Speaker recognition modules are now included in several commercial products because of the speaker recognition revolution. One such application is in electric vehicles, where a speaker recognition system is used for voice authentication in unlocking the vehicle. The performance was affected due to the background noise in the existing model which was improved using the proposed Least Mean Square (LMS) filter and Kalman filter. For reducing background noise, the LMS filter performed much better, while the Kalman filter performed better for Additive White Gaussian Noise (AWGN). In this work, Features of a speech are extracted using Mel Frequency Cepstral Coefficient (MFCC) which is trained on Convolutional Neural Network (CNN) classifier algorithm employing 16000 PCM speech samples dataset. Recognizing speakers from different recording conditions creates numerous challenges for the system. The recognition accuracy increased to 92.8%. Superior results were obtained using the presented MFCC-CNN model with filtering approaches. Hence the experimental results conveys that the implemented model for external noises in speaker recognition system is better.","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 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":"122208805","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