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

A Simple Number Plate Detection Technique with Support Vector Machine for On-Road Vehicles 基于支持向量机的道路车辆车牌简单检测技术

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/PECCON55017.2022.9851000

K. Anusha, S. Nachiyappan, M. Braveen, K. Pradeep, Siva Reshma Yarlagadda

{"title":"A Simple Number Plate Detection Technique with Support Vector Machine for On-Road Vehicles","authors":"K. Anusha, S. Nachiyappan, M. Braveen, K. Pradeep, Siva Reshma Yarlagadda","doi":"10.1109/PECCON55017.2022.9851000","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851000","url":null,"abstract":"A Number Plate Detection Technique is a well-known and widely used tool during current era because of the rapid increase in vehicles day by day. The detection of number plates from traffic videos / images system uses a digital image processing technique for the identification of the car registration number plate on the vehicles. This device is utilized indensely populated region to spot the vehicles which are violating the traffic rules, are handed down in malls to allot automobile parking space, identification of the stolen vehicles and also helpful in crime scene investigation. Image of the vehicle is pre-processed by reading the image from a dataset (b) converting it into a gray-scale image and (b) by removing the noises from the image using Gaussian techniques. This number plate is extracted from the image by implementing the contour enhancement method and on extracted characters, machine learning algorithms are used to train the model to perform the segmentation. Within the character recognition process, we classify the characters. The proposed number plate detection technique shows significant improvement in accuracy rate when compared with standard existing systems.","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":"123440423","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

A Comprehensive Study on the Impact of Artificial Intelligence in Autonomous Vehicles 人工智能对自动驾驶汽车影响的综合研究

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/PECCON55017.2022.9851143

A. Balasundaram, M. R. Prusty, Ayesha Shaik

引用次数: 0

Performance Analysis of Adaptive Integrated Power Conversion System for Electric Vehicles 电动汽车自适应集成功率转换系统性能分析

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/PECCON55017.2022.9851179

P. Arunkrishna, C. Asha, P. Preetha

{"title":"Performance Analysis of Adaptive Integrated Power Conversion System for Electric Vehicles","authors":"P. Arunkrishna, C. Asha, P. Preetha","doi":"10.1109/PECCON55017.2022.9851179","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851179","url":null,"abstract":"In recent times, research towards more ecological and nonpolluting forms of transportation has been motivated by climate change and the exhaustion offossil resources. With their ability to reduce reliance on non - renewable and extraordinary flexibility, electric vehicles (EVs) can make a substantial contribution to this. An adaptive integrated power conversion system (IPCS) is examined in this research, which could eliminate the need for separate power converters and perform in two modes: battery charging and electric propulsion. In this integrated topology, the cascaded dual active bridge (DAB) bidirectional dc-dc converter along with a dc-ac voltage source inverter (VSI) share common power components. This set-up for the system in electric vehicles decreases the switch count and the volume of the power converter unit. An artificial neural network (ANN) controller is used to implement speed control of a three-phase induction motor (IM) via constant V /f regulation for traction operation in closed loop. The backpropagation method and the Levenberg-Marquardt (LM) algorithm are used to train the network. In this paper the adaptive IPCS is compared to the traditional PI based system. The findings of two control modalities are provided, and the comparison analysis is validated with MATLAB Simulink.","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":"131169783","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

OPTICAL CHARACTER RECOGNITION FOR VISUALL YCHALLENGED PEOPLE WITH SHOPPING CART USING AI 使用人工智能为购物车中的视觉障碍人士进行光学字符识别

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/PECCON55017.2022.9851037

S. Samundeswari, V. Lalitha, V. Archana, K. Sreshta

{"title":"OPTICAL CHARACTER RECOGNITION FOR VISUALL YCHALLENGED PEOPLE WITH SHOPPING CART USING AI","authors":"S. Samundeswari, V. Lalitha, V. Archana, K. Sreshta","doi":"10.1109/PECCON55017.2022.9851037","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851037","url":null,"abstract":"Disability is defined as a situation in which one must rely on others help to meet daily needs. Visual impairment is one of them. Several approaches to improving the quality to live for visually impaired and blind people have been proposed so far, buying things in the store without the help of others is always a difficult undertaking for them. A camera-based assistive text reading framework is being developed as a solution to aid blind individuals in reading text labels and product packaging from hand-held objects in their shopping store. To distinguish the object from crowded backdrops or other nearby objects in the camera view, we used an old, active motion-based method to focus a region of interest (ROI) in the picture by asking the user to shake the object. Based on real-time situations, the voice instructions will aid the user inside the supermarket. The maj or goal of this system is to eliminate other people's assistance in shopping for visually impaired persons by providing them with a convenient, smart environment. When this prototype method is implemented, that makes shopping and product purchasing easier for blind people, saves time for customers, and increases business sales. Where user interface difficulties are investigated and the algorithm's robustness in extracting and reading text from objects with complicated backgrounds is evaluated.","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":"9 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":"132937405","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

Smart Energy Management System for University Campus using Sine-Cosine Optimization Algorithm 基于正弦余弦优化算法的高校校园智能能源管理系统

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/PECCON55017.2022.9851066

Irshad Hussain, Ibrar Ullah, R. Ramalakshmi, Tanzila, M. Ashfaq, D. Nayab

{"title":"Smart Energy Management System for University Campus using Sine-Cosine Optimization Algorithm","authors":"Irshad Hussain, Ibrar Ullah, R. Ramalakshmi, Tanzila, M. Ashfaq, D. Nayab","doi":"10.1109/PECCON55017.2022.9851066","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851066","url":null,"abstract":"We are living in the age of electricity, and it has become an essential part of our lives. We generate power in power stations, which are then transmitted to users for usage. The power that is generated at power stations are fixed and can be increased only through the replacement of the whole structure and this is not a feasible solution to be repeated multiple times, because of many issues that retain it from doing this. So in order to use the generated power efficiently, smart grids play a significant role in minimizing electricity consumption and cost through Demand Side Management (DSM). Smart homes, a specific portion of smart grid performs a very significant role in minimizing cost and consumption via scheduling home appliances. As a result, user waiting time will increase. This scheduling problem is viewed as an optimization problem in this work. An efficient scheme called the Sine-Cosine algorithm (SCA) is being employed in this work. The proposed scheme is implemented on the campus load of a university. Which contains a variety of appliances that are scheduled using the SCA technique. The simulations produced extremely beneficial results in terms of Peak to Average Ratio (PAR) and electricity cost reductions, while keeping an appropriate threshold ratio between the cost of electricity i.e. electrical bill and waiting time of users i.e. user's comfort.","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":"123914157","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

Experimentation Methodology of Orthogonal Frequency Division Multiplexing Signals Process using Radio over Fiber (RoF) system 光纤无线电(RoF)系统正交频分复用信号处理的实验方法

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/PECCON55017.2022.9850996

A. Sathishkumar, Sankararao Majji, Tulasi Radhika Patnala, Santoshachandra Rao Karanam, Ashok Kumar V, Mula Malyadri

引用次数: 0

Performance Analysis of State of Charge Estimation Techniques for Two-Wheeler Electric Vehicles 两轮电动汽车充电状态估计技术的性能分析

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/PECCON55017.2022.9851113

Pragya Tyagi, L. Padmavathi, A. Abhishek

{"title":"Performance Analysis of State of Charge Estimation Techniques for Two-Wheeler Electric Vehicles","authors":"Pragya Tyagi, L. Padmavathi, A. Abhishek","doi":"10.1109/PECCON55017.2022.9851113","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851113","url":null,"abstract":"In this article, a comparative study of the various state of charge (SOC) estimation methods, for example, coulomb count (CC), Kalman filter (KF), and extended Kalman filter (EKF), has been presented for a two-wheeler electric vehicle's Lithium-ion (Li-ion) battery. Accurate estimation of SOC is a critical requirement in EV for its range prediction, charging mode selection, remaining useful life estimation, etc. However, SOC prediction is a challenging task due to the nonlinearities of the battery. Therefore, an electrical equivalent circuit model of Li-ion battery is devised in this work, and the above-said methods, i.e., CC, KF, and EKF, are developed in MATLAB Simulink for battery's SOC estimation under different discharge test profiles. A 39 Ah capacity Li-ion battery with a nominal voltage rating of 72 V, suitable for two-wheeler EV application, is considered for study with all the estimation techniques. It has been found that the EKF method provides minimal error (< ±0.l %) in SOC estimation under all loading conditions since it can incorporate the nonlinearities of battery in its estimation technique.","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":"64 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":"122416471","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

Reducing Grid Dependency and Operating Cost of Micro Grids with Effective Coordination of RES and EV Storage 可再生能源与电动汽车储能有效协调降低微电网对电网的依赖和运行成本

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/PECCON55017.2022.9851035

Arava Sudhakar, B. M. Kumar

{"title":"Reducing Grid Dependency and Operating Cost of Micro Grids with Effective Coordination of RES and EV Storage","authors":"Arava Sudhakar, B. M. Kumar","doi":"10.1109/PECCON55017.2022.9851035","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851035","url":null,"abstract":"The growth of smart grids has led to number of challenges in order to maintain power quality and reliability. On the other hand, the advanced technologies are helping to address the issues that arise due to the heterogeneous entities such as Intermittent Renewable Energy Sources (IRES) and Electric Vehicles (EV's). EV's storage can be utilized to support the energy management in micro grids and other flexible areas like Industries and educational organizations. In order to use EV s as virtual storage units, one has to ensure all the constraints and limitations that are involved. Above all, EV usage for grid energy management should not put EV owner in a chaotic state. There has been numerous EV control strategies proposed for V2G and G2V operations since last decade. Still, it is a big challenge in the real-time environment to address sensitive issues such as: owner flexibility, battery degradation, economic benefit and other uncertainties. This work mainly focuses on maximization of EV storage usage with consideration of battery degradation. A prioritization-based EV strategy is proposed using Adaptive Neuro-Fuzzy Inference System (ANFIS) with four decision variables. A win-win strategy for maximization of battery lifetime and EV exploitation is considered during the prioritization. The proposed EV technique is implemented for educational organization with real-time travel data. The case study presented in this article provides the comprehensive analysis on the impact of proposed control strategy in different aspects.","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":"111 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":"122632849","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 Comparative Analysis of Power Generation Using Solar and Fuel Cell for Charging EVs 利用太阳能和燃料电池为电动汽车充电发电的比较分析

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/PECCON55017.2022.9851087

B. Tejesh, G. Baskar, B. N. Krishna, K. Deepa, P. Manitha, V. Sailaja

{"title":"A Comparative Analysis of Power Generation Using Solar and Fuel Cell for Charging EVs","authors":"B. Tejesh, G. Baskar, B. N. Krishna, K. Deepa, P. Manitha, V. Sailaja","doi":"10.1109/PECCON55017.2022.9851087","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851087","url":null,"abstract":"This paper compares results between a fuel cell model and photovoltaic system model usingbuck converter and boost converter which are DC/DC converters. It has limitations, such as a lack of maximum power to meet the application's demands and a significant input current ripple. The constant voltage controller uses its maximum power point tracking (MPPT) technology to collect the maximum power from the fuel cell and solar panel. The MPPT approach improves the efficiency of the electricity provided by the fuel cell and solar panel. The converters selected are advantageous because they reduce the ripple in the current, which might damage the fuel cell stack and solar panel. The classic DC interleaved boost converter and the buck converter using MPPT are simulated using MATLAB/Simulink. Interleaved boost converter is chosen because of its reduced passive component size and reduced current ripple. The constant voltage MPPT technique has proven consistent and linear performance in developing high-efficiency fuel cell systems or with PV systems. The comparison helps in understanding the effectiveness of replacing fuel cell for solar energy in EV charging stations to obtain a steady state power supply without intermittency.","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":"51 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":"133921947","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

Review and Analysis of Techniques to Mitigate Sub Synchronous Resonance using FACTS Devices 利用FACTS器件减轻次同步谐振的技术综述与分析

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/PECCON55017.2022.9851163

G. Ramya, P. Suresh, J. Jayashree, A. Charles, T. Daniya

引用次数: 0