Pub Date : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696781
C. K. Rao, S. Sahoo, F. F. Yanine
This paper describes a method to determine a photovoltaic panels state and evaluating its power production. Meteorological data on the rated power of each solar panel was sent to the Cloud, where they were created and stored using Internet of Things, data transmission capabilities, associations and inferences could be further analyzed with alternative to such a large amount of data to create meaningful predictions about the state of each Solar panel as well as to make quick and trustworthy choices Simultaneously, The ability to identify only any necessary knowledge from big data of cloud storage will be accessible. The data can be utilized for PV power generation optimization or energy balancing at the grid level, depending on the load imposed through implications for the trading energy. The big data collected through monitoring could be examined and used to improve productivity and efficiency. Finally, using Arduino and IOT, demand-side management is implemented using thingspeak.
{"title":"Demand Response for Renewable Generation in an IoT based Intelligent Smart Energy Management System","authors":"C. K. Rao, S. Sahoo, F. F. Yanine","doi":"10.1109/i-PACT52855.2021.9696781","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696781","url":null,"abstract":"This paper describes a method to determine a photovoltaic panels state and evaluating its power production. Meteorological data on the rated power of each solar panel was sent to the Cloud, where they were created and stored using Internet of Things, data transmission capabilities, associations and inferences could be further analyzed with alternative to such a large amount of data to create meaningful predictions about the state of each Solar panel as well as to make quick and trustworthy choices Simultaneously, The ability to identify only any necessary knowledge from big data of cloud storage will be accessible. The data can be utilized for PV power generation optimization or energy balancing at the grid level, depending on the load imposed through implications for the trading energy. The big data collected through monitoring could be examined and used to improve productivity and efficiency. Finally, using Arduino and IOT, demand-side management is implemented using thingspeak.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"55 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":"126673411","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-PACT52855.2021.9696949
S. Azam, Mohamadariff Bin Othman, T. Latef, M. F. Ain, Y. Qasaymeh
This paper presents a wing-shaped ultra-wide band monopole antenna and its dual band-notch operations. Over a partial ground plane, the proposed antenna is designed with a wing-shaped radiating patch by connecting four circular conductors at both top-sides of the feedline. The antenna operates within 3.1∼15.36 GHz with a fractional bandwidth (−10 dB) of 132.83% by covering a small area of $25times 35$ mm2 on a Rogers RT5880 substrate. Impedance matching of the antenna is stable due to its −17 dB bandwidth of 8.55 GHz and 58 dB minimum return loss. Peak gain of the antenna is 5.09 dBi while an average gain of 3.61 dBi is maintained over the entire −10 dB bandwidth of 12.26 GHz. Simulated average radiation efficiency is 99% and total efficiency is 94% in the proposed antenna. For band-notches, two slot-lines are applied on the upper part of the radiating patch where the first slot eliminates the 5G band at 3.5 GHz and the second slot eliminates the WLAN band at 5.8 GHz frequencies from the antenna bandwidth without hampering the overall performance. The proposed antenna is expected to be useful for ultra-wide band integrated communication systems.
{"title":"Wing-Shaped Ultra-Wide Band Antenna for Dual Band-Notch Operations","authors":"S. Azam, Mohamadariff Bin Othman, T. Latef, M. F. Ain, Y. Qasaymeh","doi":"10.1109/i-PACT52855.2021.9696949","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696949","url":null,"abstract":"This paper presents a wing-shaped ultra-wide band monopole antenna and its dual band-notch operations. Over a partial ground plane, the proposed antenna is designed with a wing-shaped radiating patch by connecting four circular conductors at both top-sides of the feedline. The antenna operates within 3.1∼15.36 GHz with a fractional bandwidth (−10 dB) of 132.83% by covering a small area of $25times 35$ mm2 on a Rogers RT5880 substrate. Impedance matching of the antenna is stable due to its −17 dB bandwidth of 8.55 GHz and 58 dB minimum return loss. Peak gain of the antenna is 5.09 dBi while an average gain of 3.61 dBi is maintained over the entire −10 dB bandwidth of 12.26 GHz. Simulated average radiation efficiency is 99% and total efficiency is 94% in the proposed antenna. For band-notches, two slot-lines are applied on the upper part of the radiating patch where the first slot eliminates the 5G band at 3.5 GHz and the second slot eliminates the WLAN band at 5.8 GHz frequencies from the antenna bandwidth without hampering the overall performance. The proposed antenna is expected to be useful for ultra-wide band integrated communication systems.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"14 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":"121038882","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-PACT52855.2021.9696615
Monisha C M, Lakshmi D, V. Ramanathan, P. Mahalakshmi
The Internet of Things (IoT) is one of the smartest healthcare and management applications. This project aims to create a device that is a modern model of everyday ECG devices used by the doctors of our society these days. Wireless technologies and wearable sensors enable effective patient monitoring. Heart disease can't be taken lightly. Because heart disease has become a major problem for the last few decades and many people die due to certain health problems. Analyzing or monitoring the ECG signal at an early stage can prevent various heart diseases. The data from wearable sensors can be processed, analyzed, and classified using machine learning algorithms. The proposed method can be used to monitor and classify arrhythmia patients. Sensors worn by patients with arrhythmia and continuous monitoring can be done using IoT Cloud. This way the patient benefits because they have the freedom to be mobile and monitor in their normal environment. In this project, IoT Cloud is used to expand patient care, a way to monitor patients, visualize patient arrhythmia and classify hospital data.
{"title":"Wireless ECG with Machine Learning-Based Diagnostic Analysis","authors":"Monisha C M, Lakshmi D, V. Ramanathan, P. Mahalakshmi","doi":"10.1109/i-PACT52855.2021.9696615","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696615","url":null,"abstract":"The Internet of Things (IoT) is one of the smartest healthcare and management applications. This project aims to create a device that is a modern model of everyday ECG devices used by the doctors of our society these days. Wireless technologies and wearable sensors enable effective patient monitoring. Heart disease can't be taken lightly. Because heart disease has become a major problem for the last few decades and many people die due to certain health problems. Analyzing or monitoring the ECG signal at an early stage can prevent various heart diseases. The data from wearable sensors can be processed, analyzed, and classified using machine learning algorithms. The proposed method can be used to monitor and classify arrhythmia patients. Sensors worn by patients with arrhythmia and continuous monitoring can be done using IoT Cloud. This way the patient benefits because they have the freedom to be mobile and monitor in their normal environment. In this project, IoT Cloud is used to expand patient care, a way to monitor patients, visualize patient arrhythmia and classify hospital data.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"1 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":"115846522","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-PACT52855.2021.9696955
V. V, H. S, Jayadarshan N S, Pragadheesan K, Praveen Balaji S
Because of increasing environmental issues caused by greenhouse gas emission of Internal Combustion Engine (ICE) driven vehicles, there is a need to move towards eco-friendly mobility with zero emission. Vehicles driven by electric power caters the need. This paper discusses the different types of chargers and charging methods for electric two wheelers. Battery Electric Vehicles (BEV) and Plug-in Hybrid Electric Vehicles (PHEV) operate on the energy stored in the propulsion battery pack. These batteries are charged by the EV chargers either conductively or inductively. Conductive chargers are wired and it involves direct physical contact with battery packs. Whereas inductive chargers do not involve physical contact. Based on the current flow direction, chargers are classified into Bidirectional Battery Charger (BBC) and Unidirectional Battery Charger (UBC). This paper reviews the standards and recommendations for the connectors and ports of EV chargers
{"title":"Review on Electric Two Wheeler Chargers and International Standards","authors":"V. V, H. S, Jayadarshan N S, Pragadheesan K, Praveen Balaji S","doi":"10.1109/i-PACT52855.2021.9696955","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696955","url":null,"abstract":"Because of increasing environmental issues caused by greenhouse gas emission of Internal Combustion Engine (ICE) driven vehicles, there is a need to move towards eco-friendly mobility with zero emission. Vehicles driven by electric power caters the need. This paper discusses the different types of chargers and charging methods for electric two wheelers. Battery Electric Vehicles (BEV) and Plug-in Hybrid Electric Vehicles (PHEV) operate on the energy stored in the propulsion battery pack. These batteries are charged by the EV chargers either conductively or inductively. Conductive chargers are wired and it involves direct physical contact with battery packs. Whereas inductive chargers do not involve physical contact. Based on the current flow direction, chargers are classified into Bidirectional Battery Charger (BBC) and Unidirectional Battery Charger (UBC). This paper reviews the standards and recommendations for the connectors and ports of EV chargers","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"135 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":"115876125","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-PACT52855.2021.9696500
Rupali Balabantaraya, A. K. Sahoo, P. K. Sahoo
Transformer is the main component to transfer electrical power from one side of the circuit to the other side. Transformer fault is more concerned and its health monitoring is an area of the major concern. Under health monitoring various faults are taken in to consideration and it provides less maintenance cost. Health monitoring, of power transformer measures temperature which is produced due to faults [16]. As a result temperature gets enhanced in insulating oil and windings. This study shows about the insulation failure and production of heat across the surface of the insulating oil. To enhance the reliability and life period of transformer, new technologies are developed to deal with conditional monitoring of power transformer. Transformer oil serves dual purpose first one is as insulator and second one is that of cooling of transformer. New technology deals with nano technology. Now research has been developed about nano fluids, because of its heat transferring properties. In this study, surface temperature analysis of transformer oil, including & excluding nano particles; has been done. Result and analysis have shown that there is a decrease in surface temperature of oil with nano particles for single phase 100KVA transformer. Surface temperature of transformer oil goes down by up to 7K when transformer oil with nano particle is used.
{"title":"Challenges and Investigations for the Application of Nanofluids in Distribution Transformer","authors":"Rupali Balabantaraya, A. K. Sahoo, P. K. Sahoo","doi":"10.1109/i-PACT52855.2021.9696500","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696500","url":null,"abstract":"Transformer is the main component to transfer electrical power from one side of the circuit to the other side. Transformer fault is more concerned and its health monitoring is an area of the major concern. Under health monitoring various faults are taken in to consideration and it provides less maintenance cost. Health monitoring, of power transformer measures temperature which is produced due to faults [16]. As a result temperature gets enhanced in insulating oil and windings. This study shows about the insulation failure and production of heat across the surface of the insulating oil. To enhance the reliability and life period of transformer, new technologies are developed to deal with conditional monitoring of power transformer. Transformer oil serves dual purpose first one is as insulator and second one is that of cooling of transformer. New technology deals with nano technology. Now research has been developed about nano fluids, because of its heat transferring properties. In this study, surface temperature analysis of transformer oil, including & excluding nano particles; has been done. Result and analysis have shown that there is a decrease in surface temperature of oil with nano particles for single phase 100KVA transformer. Surface temperature of transformer oil goes down by up to 7K when transformer oil with nano particle is used.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"31 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":"121165787","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-PACT52855.2021.9696631
S. Muppidi
The main objective of this present article is to propose an efficient way to evaluate and rank the researchers and academic authors by using citation network dataset. To rank the authors in the citation network to predict the prominent authors in the research domain for making ease for authors for identifying the predominant authors in their area of research work. Popular independent metrics like h-index, number of citations, and so on is not very reliable when it comes to ranking authors. Author come up with a new method called Citation enhanced Ranking of Authors (CeRA) to rank authors. The proposed approach CeRA approach utilizes content-related similarity between abstracts that extract the keywords by using the word2vec model. K-means clustering algorithm is applied to extract authors clusters based on domains. Finally, specific authors rank is retrieved using the page rank of the author's node in a cluster.
{"title":"Ranking Authors in Citation Networks with Automated Keyword Extraction using Word Embeddings","authors":"S. Muppidi","doi":"10.1109/i-PACT52855.2021.9696631","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696631","url":null,"abstract":"The main objective of this present article is to propose an efficient way to evaluate and rank the researchers and academic authors by using citation network dataset. To rank the authors in the citation network to predict the prominent authors in the research domain for making ease for authors for identifying the predominant authors in their area of research work. Popular independent metrics like h-index, number of citations, and so on is not very reliable when it comes to ranking authors. Author come up with a new method called Citation enhanced Ranking of Authors (CeRA) to rank authors. The proposed approach CeRA approach utilizes content-related similarity between abstracts that extract the keywords by using the word2vec model. K-means clustering algorithm is applied to extract authors clusters based on domains. Finally, specific authors rank is retrieved using the page rank of the author's node in a cluster.","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":"123792093","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-PACT52855.2021.9696589
G. Ravikishore, N.M Nanditha, Venna Vijaya Sree Swarupa, S. Saravanan
MVL is the promising alternative to the binary logic. GNRFET is more suitable for Multi-Valued Logic Circuits because it reduces power leakage, energy consumption. MVL logic provides less complexity, high speed circuit, small chip area in digital circuits. The GNRFETs are considered to regulate the Vth. Threshold voltage Vth control in GNRFET is possible by varying the width and no. of Dimer lines (N). In Ternary logic family there are 3 types of inverters Standard Ternary Inverter, Negative Ternary Inverter, Positive Ternary Inverter. To design ternary D-Latch NTI, STI, NAND gates are used. A latch is an electronic device, which changes its output based on the applied input. Latches are the smallest building blocks of memory. In the VLSI technology area, power consumption of the circuit is very important. In this paper, the performance of Three-Valued Logic D-Latch using GNRFET in terms of power, delay are calculated. The simulation of GNRFET based three valued logic D-Latch is done using HSPICE 32nm technology tool. It is observed that power is 20.60uW and delay is 150.04 ns.
{"title":"Design of Three-Valued Logic D-Latch Using GNRFET","authors":"G. Ravikishore, N.M Nanditha, Venna Vijaya Sree Swarupa, S. Saravanan","doi":"10.1109/i-PACT52855.2021.9696589","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696589","url":null,"abstract":"MVL is the promising alternative to the binary logic. GNRFET is more suitable for Multi-Valued Logic Circuits because it reduces power leakage, energy consumption. MVL logic provides less complexity, high speed circuit, small chip area in digital circuits. The GNRFETs are considered to regulate the Vth. Threshold voltage Vth control in GNRFET is possible by varying the width and no. of Dimer lines (N). In Ternary logic family there are 3 types of inverters Standard Ternary Inverter, Negative Ternary Inverter, Positive Ternary Inverter. To design ternary D-Latch NTI, STI, NAND gates are used. A latch is an electronic device, which changes its output based on the applied input. Latches are the smallest building blocks of memory. In the VLSI technology area, power consumption of the circuit is very important. In this paper, the performance of Three-Valued Logic D-Latch using GNRFET in terms of power, delay are calculated. The simulation of GNRFET based three valued logic D-Latch is done using HSPICE 32nm technology tool. It is observed that power is 20.60uW and delay is 150.04 ns.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"8 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":"124874615","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-PACT52855.2021.9696651
S. Padhy, P. Sahu, Rajendra Kumar Khadanga, B. Prusty, S. Panda
The paper aims at establishing a frequency control strategy with the coordination of fractional order PID (FOPID) controller and electric vehicles (EVs) in interconnected smart grid power systems to improve the dynamic response under the change in load conditions. The system under consideration is a two-area system, wherein in one area, a thermal power unit is present, and a PV plant is installed in the second area. FOPID controller is proposed to have the secondary frequency control in the interconnected system. It is compared with classical controllers PI and PID to prove the proposed FOPID controller's efficiency. The parameters of the controllers, employed to reduce the frequency deviation and improve the dynamic response, are tuned using a novel Marine Predator algorithm (MPA). MPA-based FOPID controller gives better results compared to the classical controller in enhancing the dynamic response of the considered systems. When EVs are incorporated into the system, the combination of controller and EVs eliminates oscillations, further improves the settling time of frequency and tie-line power fluctuations.
{"title":"MPA-Tuned Fractional Order PID Controller for Frequency Control of Interconnected Smart Grid Power System","authors":"S. Padhy, P. Sahu, Rajendra Kumar Khadanga, B. Prusty, S. Panda","doi":"10.1109/i-PACT52855.2021.9696651","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696651","url":null,"abstract":"The paper aims at establishing a frequency control strategy with the coordination of fractional order PID (FOPID) controller and electric vehicles (EVs) in interconnected smart grid power systems to improve the dynamic response under the change in load conditions. The system under consideration is a two-area system, wherein in one area, a thermal power unit is present, and a PV plant is installed in the second area. FOPID controller is proposed to have the secondary frequency control in the interconnected system. It is compared with classical controllers PI and PID to prove the proposed FOPID controller's efficiency. The parameters of the controllers, employed to reduce the frequency deviation and improve the dynamic response, are tuned using a novel Marine Predator algorithm (MPA). MPA-based FOPID controller gives better results compared to the classical controller in enhancing the dynamic response of the considered systems. When EVs are incorporated into the system, the combination of controller and EVs eliminates oscillations, further improves the settling time of frequency and tie-line power fluctuations.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"9 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":"124985384","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-PACT52855.2021.9696623
Kripalakshmi Thiagarajan, T. Deepa
The power electronics converter control and its applications with hardware and software co-design partitioned approach lead to create electronics system on a single chip. A hardware prototype of a power electronics converter designed with high frequency and high voltage switches is the complex task of an electronic engineer. The partitioning of hardware and software synthesis by using advanced single chip fabrication techonology and realtime simulator is presented in the article. The real time simulator OPAL-RT is used for the co-design model with the Simulink for pulse generation and control of the converter with the feedback signal in the simulation platform.
{"title":"Co-Design Approach of Converter Control for Battery Charging Electric Vehicle Applications","authors":"Kripalakshmi Thiagarajan, T. Deepa","doi":"10.1109/i-PACT52855.2021.9696623","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696623","url":null,"abstract":"The power electronics converter control and its applications with hardware and software co-design partitioned approach lead to create electronics system on a single chip. A hardware prototype of a power electronics converter designed with high frequency and high voltage switches is the complex task of an electronic engineer. The partitioning of hardware and software synthesis by using advanced single chip fabrication techonology and realtime simulator is presented in the article. The real time simulator OPAL-RT is used for the co-design model with the Simulink for pulse generation and control of the converter with the feedback signal in the simulation platform.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"36 8 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":"114283241","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-PACT52855.2021.9697046
Nathan Shankar, A. Chitra, Devatri Banerjee, Vaibhav Sharma, Kalpana Zhutshi, W. Razia Sultana
This paper focuses on the implementation and performance comparison of a conventional and an intelligent method for estimation of SoC of a battery. Two different methods of estimation have been selected after careful study and literature review. The first method is Linear Kalman Filter (LKF), which is a conventional method, widely in use. The second method selected is Neural network using Feed Forward. The final results of both the methods are compared and studied to draw a conclusion. Both the methods have been implemented in MATLAB software. For Kalman Filter implementation, Thevenin circuit is modelled to achieve the needed equations. These equations are used to calculate the predict the error which the updates the Kalman gain. In Neural networks, the implementation comprises of training and testing. Mini batches have been taken for the training of the network along with Adam optimizer.
{"title":"Performance Comparison of Conventional and Intelligent method of Charge Estimation","authors":"Nathan Shankar, A. Chitra, Devatri Banerjee, Vaibhav Sharma, Kalpana Zhutshi, W. Razia Sultana","doi":"10.1109/i-PACT52855.2021.9697046","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9697046","url":null,"abstract":"This paper focuses on the implementation and performance comparison of a conventional and an intelligent method for estimation of SoC of a battery. Two different methods of estimation have been selected after careful study and literature review. The first method is Linear Kalman Filter (LKF), which is a conventional method, widely in use. The second method selected is Neural network using Feed Forward. The final results of both the methods are compared and studied to draw a conclusion. Both the methods have been implemented in MATLAB software. For Kalman Filter implementation, Thevenin circuit is modelled to achieve the needed equations. These equations are used to calculate the predict the error which the updates the Kalman gain. In Neural networks, the implementation comprises of training and testing. Mini batches have been taken for the training of the network along with Adam optimizer.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"350 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":"125246623","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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