Pub Date : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696914
Suraj Jami, Anirudh L, S. Panda, Riddhi Aggarwal, S. Singh
Robotics has been a staple of cutting-edge fabricating for over 50 years. As robots and their fringe hardware become more complex, well-grounded, definitive and miniaturized, these frameworks are progressively being used for inspection, monitoring & intelligence purposes. The focus of this project is to design a model of an Android controlled robot vehicle that plays out a different work to give an extremely incredible and adaptable robot while likewise decreasing the equipment utilization however much as could be expected. In this venture, Arduino Nano is utilized as a primary part, to which the wide range of various parts are interfaced. This paper presents a model an Android-driven Arduino robot which can detect gas, smoke, check temperature, humidity and avoid any obstacles. The system is implemented using Arduino Nano, NodeMCU, Ultrasonic Sensors, Voltage regulator. Furthermore, a combination of Temperature sensors & Gas sensors used to provide domain-sensing along with the navigation in an unknown environment by avoiding collisions, which is a primary requirement for any autonomous mobile robot.
{"title":"Remote And Voice Controlled Surveillance Robot With Multimodal Operation","authors":"Suraj Jami, Anirudh L, S. Panda, Riddhi Aggarwal, S. Singh","doi":"10.1109/i-PACT52855.2021.9696914","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696914","url":null,"abstract":"Robotics has been a staple of cutting-edge fabricating for over 50 years. As robots and their fringe hardware become more complex, well-grounded, definitive and miniaturized, these frameworks are progressively being used for inspection, monitoring & intelligence purposes. The focus of this project is to design a model of an Android controlled robot vehicle that plays out a different work to give an extremely incredible and adaptable robot while likewise decreasing the equipment utilization however much as could be expected. In this venture, Arduino Nano is utilized as a primary part, to which the wide range of various parts are interfaced. This paper presents a model an Android-driven Arduino robot which can detect gas, smoke, check temperature, humidity and avoid any obstacles. The system is implemented using Arduino Nano, NodeMCU, Ultrasonic Sensors, Voltage regulator. Furthermore, a combination of Temperature sensors & Gas sensors used to provide domain-sensing along with the navigation in an unknown environment by avoiding collisions, which is a primary requirement for any autonomous mobile robot.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115407739","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}
Pub Date : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696545
V. K, S. Sujitha, B. Stalin, D. Buvana, F. T. Josh, K. Vinodha, K. Ramya, R. Saravanakumar, D. Logeswaran
This paper outlines potential demand for electric vehicles, charging station infrastructure and its challenges for the India scenario, as well as the increasing liberalization and expansion of production, transmission and distribution. Distributed and renewable electricity generation and distribution, as well as market processes related to energy allocation and energy mix. is the subject of evolutionary development with improved performance and reliability. Structural analysis of respective parameters was performed for the commercial scope of electric vehicles in the existing energy market and regulatory concerns are taken into account to describe a scenario in which a company global control of electric vehicle charging and service provision of ancillary networks. Experimental results show confirmatory results.
{"title":"Execution of smart electric vehicle charging station driven by RE technology using soft computing approach","authors":"V. K, S. Sujitha, B. Stalin, D. Buvana, F. T. Josh, K. Vinodha, K. Ramya, R. Saravanakumar, D. Logeswaran","doi":"10.1109/i-PACT52855.2021.9696545","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696545","url":null,"abstract":"This paper outlines potential demand for electric vehicles, charging station infrastructure and its challenges for the India scenario, as well as the increasing liberalization and expansion of production, transmission and distribution. Distributed and renewable electricity generation and distribution, as well as market processes related to energy allocation and energy mix. is the subject of evolutionary development with improved performance and reliability. Structural analysis of respective parameters was performed for the commercial scope of electric vehicles in the existing energy market and regulatory concerns are taken into account to describe a scenario in which a company global control of electric vehicle charging and service provision of ancillary networks. Experimental results show confirmatory results.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123103888","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}
Pub Date : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696493
Vimal Kumar K, V. Devi, Avagaddi Prasad, R. Sarjila, J. Edward
Interpretation of wind system designed with PMSG, high gain DC-DC converter and MPPT control methods are presented in this article. The wind and solar energy sources are most striving renewable energy sources among this two, wind source shows a significant role, due to its existence and cleanness compared to the other sources. To maximize the output power from wind system, an MPPT controller and power converter shows a significant role. In this article, system is carry out with Boost and Double Boost converter along with the P&O and BPN MPPT controllers in MATLAB/Simulink and wind system performance is interpreted with different combinations of converters and MPPT controllers and obtained results are compared for interpretation of implemented system.
{"title":"Interpretation of PMSG Based Wind System with High Gain Converters and MPPT Controllers","authors":"Vimal Kumar K, V. Devi, Avagaddi Prasad, R. Sarjila, J. Edward","doi":"10.1109/i-PACT52855.2021.9696493","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696493","url":null,"abstract":"Interpretation of wind system designed with PMSG, high gain DC-DC converter and MPPT control methods are presented in this article. The wind and solar energy sources are most striving renewable energy sources among this two, wind source shows a significant role, due to its existence and cleanness compared to the other sources. To maximize the output power from wind system, an MPPT controller and power converter shows a significant role. In this article, system is carry out with Boost and Double Boost converter along with the P&O and BPN MPPT controllers in MATLAB/Simulink and wind system performance is interpreted with different combinations of converters and MPPT controllers and obtained results are compared for interpretation of implemented system.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127328524","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}
Pub Date : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9697019
Deepika S, Lakshmi Krishna N, S. S
The method of reducing information from an original text document while maintaining the vital information is known as text summarizing. The amount of text data available has increased dramatically in recent years from a variety of sources. A large volume of text is an excellent source of information and knowledge of the source is essential for efficiently summarizing information that must be useful. Summarization facilitates the acquisition of vital and required information in a short period of time. Text summarization is required in a variety of domains, including news article summaries, email summaries and information summaries in the medical profession to track a patient's medical history for future treatment and so on. In summarization, there are two methods: extractive summarization and abstractive summarization. In this work, extractive summarization is used on the COVID-19 dataset. Different models and their results have been discussed.
{"title":"Extractive Text Summarization for COVID-19 Medical Records","authors":"Deepika S, Lakshmi Krishna N, S. S","doi":"10.1109/i-PACT52855.2021.9697019","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9697019","url":null,"abstract":"The method of reducing information from an original text document while maintaining the vital information is known as text summarizing. The amount of text data available has increased dramatically in recent years from a variety of sources. A large volume of text is an excellent source of information and knowledge of the source is essential for efficiently summarizing information that must be useful. Summarization facilitates the acquisition of vital and required information in a short period of time. Text summarization is required in a variety of domains, including news article summaries, email summaries and information summaries in the medical profession to track a patient's medical history for future treatment and so on. In summarization, there are two methods: extractive summarization and abstractive summarization. In this work, extractive summarization is used on the COVID-19 dataset. Different models and their results have been discussed.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127467235","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}
Pub Date : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696745
D. Choudhary, C. Kotwal
Induction melting furnaces (IMF) are used in steel plants for the melting of metallic scrap and various alloys. The IMF is well in demand and gradually becoming a major contributor in steel plants. In steel plants and foundries, the complete melting cycle of the IMF consists of various stages like scrap charging into the furnace, melting, refining, alloy addition and then holding it before pouring of molten metal for further process of casting. During all these processes, the electrical parameters of the power converter switching system of the IMF get change which affects the power quality of the grid supply. In this paper, the effect of characteristic and uncharacteristic harmonics of the IMF system on the power quality of grid supply is demonstrated by performing harmonic analysis of supply current, voltage and inverter current for the various stages of the melting process. Dynamic load behavior of the operation of IMF has been investigated based on simulation and practical field data results. Simulated results are verified against experimental field result of trials conducted on the actual working IMF system in the steel plant. The close agreement between the simulated and the experimental results, highlights the experimental work and may be helpful for designing of harmonic mitigation systems
{"title":"Operational Dynamics of Induction Melting Furnace and its Effect on Power Quality of Grid","authors":"D. Choudhary, C. Kotwal","doi":"10.1109/i-PACT52855.2021.9696745","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696745","url":null,"abstract":"Induction melting furnaces (IMF) are used in steel plants for the melting of metallic scrap and various alloys. The IMF is well in demand and gradually becoming a major contributor in steel plants. In steel plants and foundries, the complete melting cycle of the IMF consists of various stages like scrap charging into the furnace, melting, refining, alloy addition and then holding it before pouring of molten metal for further process of casting. During all these processes, the electrical parameters of the power converter switching system of the IMF get change which affects the power quality of the grid supply. In this paper, the effect of characteristic and uncharacteristic harmonics of the IMF system on the power quality of grid supply is demonstrated by performing harmonic analysis of supply current, voltage and inverter current for the various stages of the melting process. Dynamic load behavior of the operation of IMF has been investigated based on simulation and practical field data results. Simulated results are verified against experimental field result of trials conducted on the actual working IMF system in the steel plant. The close agreement between the simulated and the experimental results, highlights the experimental work and may be helpful for designing of harmonic mitigation systems","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127487356","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}
Pub Date : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696618
Suhail Afzal, H. Mokhlis, H. Illias, Nurulafiqah Nadzirah Binti Mansor, A. S. M. Khairuddin, M. Sarmin
Power grid is recognized as one of the most important critical infrastructures of society. In our modern world, more parts of our everyday lives are now dependent on electrical energy, and thus hard to find a system that is utterly independent of electricity. Extreme weather events driven by climate change are a major threat to the power systems as a majority of the grid exists above ground, hence exposed to extreme weather. Recent widespread power cuts due to severe weather have proven that power grid is vulnerable to such events. The vulnerability of power system infrastructures is generally assessed using complex network analysis, and graph theory is a prominent approach that is computationally inexpensive, however, physical characteristics of the system are disregarded. Based on the geometric configuration of power networks, various indices have been proposed to measure the importance of components with respect to their contribution to the network functionality. In this paper, we have presented a comprehensive analysis of several flow-based indices using topological and physics-based models. Numerical results are carried out on IEEE 6-bus system. The outcomes of the analysis can provide important insights to the system operators and decision-makers on enhancing power system resilience.
{"title":"A Comparative Analysis of Flow-Based Resilience Indices Using Topological and Load Flow Models","authors":"Suhail Afzal, H. Mokhlis, H. Illias, Nurulafiqah Nadzirah Binti Mansor, A. S. M. Khairuddin, M. Sarmin","doi":"10.1109/i-PACT52855.2021.9696618","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696618","url":null,"abstract":"Power grid is recognized as one of the most important critical infrastructures of society. In our modern world, more parts of our everyday lives are now dependent on electrical energy, and thus hard to find a system that is utterly independent of electricity. Extreme weather events driven by climate change are a major threat to the power systems as a majority of the grid exists above ground, hence exposed to extreme weather. Recent widespread power cuts due to severe weather have proven that power grid is vulnerable to such events. The vulnerability of power system infrastructures is generally assessed using complex network analysis, and graph theory is a prominent approach that is computationally inexpensive, however, physical characteristics of the system are disregarded. Based on the geometric configuration of power networks, various indices have been proposed to measure the importance of components with respect to their contribution to the network functionality. In this paper, we have presented a comprehensive analysis of several flow-based indices using topological and physics-based models. Numerical results are carried out on IEEE 6-bus system. The outcomes of the analysis can provide important insights to the system operators and decision-makers on enhancing power system resilience.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125920786","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}
Pub Date : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696600
Soorva Ram Shimgekar, Preetham Reddy Pathi, S. V
With more and more people preferring Laparo-scopic surgeries because of its benefits like smaller scars and being relatively painless in nature, there is immense need to solve the issues the doctors face while performing a Laparoscopic surgery. In this paper we propose a surgical tool segmentation and image enhancement method which can be controlled with a voice based interface. The proposed method solves problems like glare and fogging in addition to segmenting the surgical tools. A voice based interface was used so that the doctor does not have to get distracted while performing the surgery. This method can be helpful to surgeons and can also be helpful in achieving automated surgeries. For image segmentation we use Mask-RCNN and Kaldi Voice Recognition toolkit for the voice based interface. Kaldi toolkit has a great influence on the time taken by the system to understand the query.
{"title":"Voice based Segmentation of Laparoscopic Surgical Tools and its Image Enhancement","authors":"Soorva Ram Shimgekar, Preetham Reddy Pathi, S. V","doi":"10.1109/i-PACT52855.2021.9696600","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696600","url":null,"abstract":"With more and more people preferring Laparo-scopic surgeries because of its benefits like smaller scars and being relatively painless in nature, there is immense need to solve the issues the doctors face while performing a Laparoscopic surgery. In this paper we propose a surgical tool segmentation and image enhancement method which can be controlled with a voice based interface. The proposed method solves problems like glare and fogging in addition to segmenting the surgical tools. A voice based interface was used so that the doctor does not have to get distracted while performing the surgery. This method can be helpful to surgeons and can also be helpful in achieving automated surgeries. For image segmentation we use Mask-RCNN and Kaldi Voice Recognition toolkit for the voice based interface. Kaldi toolkit has a great influence on the time taken by the system to understand the query.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123241153","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}
Pub Date : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696517
Kishore Bingi, B. Prusty
This paper focuses on proposing neural network-based prediction models for smart grid stability. The models are trained using the damped least-squares technique with reaction time, consumed/generated power, and elasticity coefficient as input variables to predict the stability as an output variable. The models' accuracy and effectiveness are compared numerically using R2 and mean square errors. For all the models, the selected activation functions at the hidden layer is tansig, and purelin at the output layer. The results demonstrated the neural network-based prediction models' adequate performance for training and testing phases. For the system under consideration, the feed-forward neural network's best performance is true in terms of least error and the highest R2 values.
{"title":"Neural Network-Based Models for Prediction of Smart Grid Stability","authors":"Kishore Bingi, B. Prusty","doi":"10.1109/i-PACT52855.2021.9696517","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696517","url":null,"abstract":"This paper focuses on proposing neural network-based prediction models for smart grid stability. The models are trained using the damped least-squares technique with reaction time, consumed/generated power, and elasticity coefficient as input variables to predict the stability as an output variable. The models' accuracy and effectiveness are compared numerically using R2 and mean square errors. For all the models, the selected activation functions at the hidden layer is tansig, and purelin at the output layer. The results demonstrated the neural network-based prediction models' adequate performance for training and testing phases. For the system under consideration, the feed-forward neural network's best performance is true in terms of least error and the highest R2 values.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123520876","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}
Pub Date : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696501
Priyanka B. Dongre, Pushpneel Verma
In the current era of digital communication and digital transaction, most companies and industries are using IoT devices to manage and store day-to-day transaction data. Most of these organizations use a biometric-based attendance system to spot the attendance of employees. Few organizations use RFID cards or tags embedded in the identity card of the employee for attendance marking. Smartphone has become a handy tool for people for communication and transferring money from bank accounts and digital wallets using QR codes as a means for the transaction. However, the user, device authentication, and secure data transmission are the primary concerns in IoT networks. In recent years, blockchain arose as a decentralized data security mechanism. It has been successfully implemented as a secured mechanism for exchanging several applications, including cryptocurrencies and other areas. There are several blockchain frameworks available and discussed in the literature. The proposed work discusses the IOTDMS Blockchain framework called the Internet of Things Data Management System Chain (IOTDMS chain) built-in Python. The proposed approach considered the use case of an attendance management system, and this paper presents the current work in progress of how blockchain can potentially improve the IoT.
{"title":"IOTDMS Blockchain Framework for Secure Data Exchange Between IoT Devices","authors":"Priyanka B. Dongre, Pushpneel Verma","doi":"10.1109/i-PACT52855.2021.9696501","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696501","url":null,"abstract":"In the current era of digital communication and digital transaction, most companies and industries are using IoT devices to manage and store day-to-day transaction data. Most of these organizations use a biometric-based attendance system to spot the attendance of employees. Few organizations use RFID cards or tags embedded in the identity card of the employee for attendance marking. Smartphone has become a handy tool for people for communication and transferring money from bank accounts and digital wallets using QR codes as a means for the transaction. However, the user, device authentication, and secure data transmission are the primary concerns in IoT networks. In recent years, blockchain arose as a decentralized data security mechanism. It has been successfully implemented as a secured mechanism for exchanging several applications, including cryptocurrencies and other areas. There are several blockchain frameworks available and discussed in the literature. The proposed work discusses the IOTDMS Blockchain framework called the Internet of Things Data Management System Chain (IOTDMS chain) built-in Python. The proposed approach considered the use case of an attendance management system, and this paper presents the current work in progress of how blockchain can potentially improve the IoT.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125357852","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}
Pub Date : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696530
Mithun Karthikeyan, Gowtami Ramesh, P. Jayakrishnan, M. Jayakumar
Electric vehicles have been drawing a large amount of popularity and attention for quite some time now as they are prominently seen as the most appropriate substitute for the conventional internal combustion engine vehicles which are the major contributors to air pollution worldwide. Energy manage-ment and storage are important aspects. This paper discusses the latest trends in the field of battery, its design, charging methodologies, challenges faced and its integration with super capacitors, making it a Hybrid Energy Storage System, which can enhance the power demands of the EV and the various strategies developed and applied for the optimal control over the power from the multiple energy storage devices, in order to develop an efficient system for the Electric Vehicles propulsion.
{"title":"Review on Energy Storage Technology and Energy Management Strategies in Electric Vehicles","authors":"Mithun Karthikeyan, Gowtami Ramesh, P. Jayakrishnan, M. Jayakumar","doi":"10.1109/i-PACT52855.2021.9696530","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696530","url":null,"abstract":"Electric vehicles have been drawing a large amount of popularity and attention for quite some time now as they are prominently seen as the most appropriate substitute for the conventional internal combustion engine vehicles which are the major contributors to air pollution worldwide. Energy manage-ment and storage are important aspects. This paper discusses the latest trends in the field of battery, its design, charging methodologies, challenges faced and its integration with super capacitors, making it a Hybrid Energy Storage System, which can enhance the power demands of the EV and the various strategies developed and applied for the optimal control over the power from the multiple energy storage devices, in order to develop an efficient system for the Electric Vehicles propulsion.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115021632","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}
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