Pub Date : 2021-12-06DOI: 10.1109/SPEC52827.2021.9709480
Alphonse Kwitonda, Ir. Mulugeta GebreHiwot GebreMichael, Eric Nziyumva
Energy plays an important role in the global economy and the significant portion of global energy demand is met by burning fossil fuels which are non-renewable and with limited lifespan. One of the difficulties the electrical industry is facing currently is the production and efficiency utilization of energy. Due to environmental issues, the entire world is encouraged to develop different renewable energy technologies in electrical power generation to save the planet. The energy is managed well by bringing in an efficiency, reliable and environmentally friendly storage system. A very well-known worldwide energy storage technology is chemical battery. However, due to short life span of chemical batteries, the intermittency of solar energy, and its environmental issues, pumped hydroelectric energy storage technology has been found advantageous. In this paper, the study and analysis of power generation and load demand on the Rwandan network have been done to know the availability of renewable energy which needs to be stored during light loads and released during peak loads hours. As per the study, there are 204 MWh which can be stored on daily basis. After concluding that Rwandan electric network has renewable energies to be stored during light loads, the survey around Lake Kivu on Rwandan side to find out the candidate places suited for pumped hydroelectric energy storage have been carried out where one site among five candidate sites has been selected as the best-suited place. Then, 36 MW pumped hydropower plant has been designed and its operational economic feasibility study has been also done. Simulation with MATLAB/Simulink has been carried out. The study results show that currently having the storage system will remove completely 27.6% of diesel power generation on Rwandan electric network. Moreover, the studies confirmed better operability of the system with a round trip efficiency of 81%.
{"title":"Technical Feasibility Study of Pumped Storage Hydro Power Plant on Lake Kivu","authors":"Alphonse Kwitonda, Ir. Mulugeta GebreHiwot GebreMichael, Eric Nziyumva","doi":"10.1109/SPEC52827.2021.9709480","DOIUrl":"https://doi.org/10.1109/SPEC52827.2021.9709480","url":null,"abstract":"Energy plays an important role in the global economy and the significant portion of global energy demand is met by burning fossil fuels which are non-renewable and with limited lifespan. One of the difficulties the electrical industry is facing currently is the production and efficiency utilization of energy. Due to environmental issues, the entire world is encouraged to develop different renewable energy technologies in electrical power generation to save the planet. The energy is managed well by bringing in an efficiency, reliable and environmentally friendly storage system. A very well-known worldwide energy storage technology is chemical battery. However, due to short life span of chemical batteries, the intermittency of solar energy, and its environmental issues, pumped hydroelectric energy storage technology has been found advantageous. In this paper, the study and analysis of power generation and load demand on the Rwandan network have been done to know the availability of renewable energy which needs to be stored during light loads and released during peak loads hours. As per the study, there are 204 MWh which can be stored on daily basis. After concluding that Rwandan electric network has renewable energies to be stored during light loads, the survey around Lake Kivu on Rwandan side to find out the candidate places suited for pumped hydroelectric energy storage have been carried out where one site among five candidate sites has been selected as the best-suited place. Then, 36 MW pumped hydropower plant has been designed and its operational economic feasibility study has been also done. Simulation with MATLAB/Simulink has been carried out. The study results show that currently having the storage system will remove completely 27.6% of diesel power generation on Rwandan electric network. Moreover, the studies confirmed better operability of the system with a round trip efficiency of 81%.","PeriodicalId":236251,"journal":{"name":"2021 IEEE Southern Power Electronics Conference (SPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130206196","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 : 2021-12-06DOI: 10.1109/SPEC52827.2021.9709309
Ngetich E Kiprotich, Jean de Dieu Hakizimana, Enock Chambile
East Africa’s electrification is at odds with United Nations goals to provide clean modern energy for all by 2030 despite possessing a vast potential for Renewable energy (RE). The increasing demand for energy coupled with continuous reliance on non-renewable energy resources as the least-cost power generation option contributes highly to climate change. This study aims to explore the implication of RE transition on the cost of electricity generation and greenhouse gas emission. The study applied a scenario capacity expansion model (System Planning Test) to investigate the implication of changing penetration level of RE from the reference least-cost solution in existing policy documents on the overall costs of building and operating an electrical system and the derived carbon dioxide emission level. The results showed that the relationship between RE and the electricity system cost is nonlinear. This implies that small changes in the level of renewable penetration relative to the least-cost solution result in small changes in the system costs while large deviation leads to large changes in the system costs. The higher levels of RE deployment lead to high reduction of carbon dioxide but with higher overall system costs. While lower levels of RE leads to higher carbon dioxide emission levels at lower system costs. Thus evaluating the trade-off between emission saving and system cost, shows that cost of avoiding emissions is incremental to RE deployment and declines as RE is curtailed. Thus initiatives to promote RE growth in order to meet the Sustainable Development Goals have been proposed.
{"title":"Exploring Implication of Renewable Energy Transition on the Cost of Electricity and Green House Gases Emission in East African Countries","authors":"Ngetich E Kiprotich, Jean de Dieu Hakizimana, Enock Chambile","doi":"10.1109/SPEC52827.2021.9709309","DOIUrl":"https://doi.org/10.1109/SPEC52827.2021.9709309","url":null,"abstract":"East Africa’s electrification is at odds with United Nations goals to provide clean modern energy for all by 2030 despite possessing a vast potential for Renewable energy (RE). The increasing demand for energy coupled with continuous reliance on non-renewable energy resources as the least-cost power generation option contributes highly to climate change. This study aims to explore the implication of RE transition on the cost of electricity generation and greenhouse gas emission. The study applied a scenario capacity expansion model (System Planning Test) to investigate the implication of changing penetration level of RE from the reference least-cost solution in existing policy documents on the overall costs of building and operating an electrical system and the derived carbon dioxide emission level. The results showed that the relationship between RE and the electricity system cost is nonlinear. This implies that small changes in the level of renewable penetration relative to the least-cost solution result in small changes in the system costs while large deviation leads to large changes in the system costs. The higher levels of RE deployment lead to high reduction of carbon dioxide but with higher overall system costs. While lower levels of RE leads to higher carbon dioxide emission levels at lower system costs. Thus evaluating the trade-off between emission saving and system cost, shows that cost of avoiding emissions is incremental to RE deployment and declines as RE is curtailed. Thus initiatives to promote RE growth in order to meet the Sustainable Development Goals have been proposed.","PeriodicalId":236251,"journal":{"name":"2021 IEEE Southern Power Electronics Conference (SPEC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127838642","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 : 2021-12-06DOI: 10.1109/SPEC52827.2021.9709490
Achim Vedde, M. Neuburger, C. Cheshire, F. Gliese
In this paper, a hybrid common mode EMI filter is presented. The EMI filter used consists of a passive EMI filter with an added active feedback loop. The passive components are not only used for the noise attenuation but also for measuring the noise and inserting the feedback signal. The noise is measured at the common mode choke on an additional winding and is fed back inversely amplified via the Y capacitors. This technique reduces the unwanted noise current by inserting a counter current. With the topology used, the size of the common mode choke can be reduced significantly in comparison to a pure passive EMI filter. The calculation of the proposed hybrid filter design as well as the implementation and noise measurements are shown in this paper. The hybrid EMI filter is compared with a passive EMI filter to display its advantages.
{"title":"Optimization of a Passive Common Mode EMI Filter by Adding an Active Feedback Loop","authors":"Achim Vedde, M. Neuburger, C. Cheshire, F. Gliese","doi":"10.1109/SPEC52827.2021.9709490","DOIUrl":"https://doi.org/10.1109/SPEC52827.2021.9709490","url":null,"abstract":"In this paper, a hybrid common mode EMI filter is presented. The EMI filter used consists of a passive EMI filter with an added active feedback loop. The passive components are not only used for the noise attenuation but also for measuring the noise and inserting the feedback signal. The noise is measured at the common mode choke on an additional winding and is fed back inversely amplified via the Y capacitors. This technique reduces the unwanted noise current by inserting a counter current. With the topology used, the size of the common mode choke can be reduced significantly in comparison to a pure passive EMI filter. The calculation of the proposed hybrid filter design as well as the implementation and noise measurements are shown in this paper. The hybrid EMI filter is compared with a passive EMI filter to display its advantages.","PeriodicalId":236251,"journal":{"name":"2021 IEEE Southern Power Electronics Conference (SPEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127490160","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 : 2021-12-06DOI: 10.1109/SPEC52827.2021.9709470
Xiaorui Wu, Jing Xiao, Shuai Han, Wenlan Gong, Ning Wu
Inductive power transfer is one of the most effective ways to provide flexible power for mobile devices. Whereas, in practical application, because of the skin-effect loss and proximity-effect loss, when the inductive power transfer system works at high frequency (MHz), the resistance of coil would increase rapidly. The increase of coil resistance leads to the decrease of power amount and transmission efficiency. Therefore, a spatial spiral layout was proposed, which can significantly reduce the skin-effect and proximity-effect loss at high operation frequency. The special coil structure can significantly decrease the resistance of coil and improve the power amount and transmission efficiency of inductive power transfer system at high frequency operation.
{"title":"Improvement in Efficiency of Inductive Power Transfer Using Spatial Spiral Layout","authors":"Xiaorui Wu, Jing Xiao, Shuai Han, Wenlan Gong, Ning Wu","doi":"10.1109/SPEC52827.2021.9709470","DOIUrl":"https://doi.org/10.1109/SPEC52827.2021.9709470","url":null,"abstract":"Inductive power transfer is one of the most effective ways to provide flexible power for mobile devices. Whereas, in practical application, because of the skin-effect loss and proximity-effect loss, when the inductive power transfer system works at high frequency (MHz), the resistance of coil would increase rapidly. The increase of coil resistance leads to the decrease of power amount and transmission efficiency. Therefore, a spatial spiral layout was proposed, which can significantly reduce the skin-effect and proximity-effect loss at high operation frequency. The special coil structure can significantly decrease the resistance of coil and improve the power amount and transmission efficiency of inductive power transfer system at high frequency operation.","PeriodicalId":236251,"journal":{"name":"2021 IEEE Southern Power Electronics Conference (SPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130434682","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 : 2021-12-06DOI: 10.1109/SPEC52827.2021.9709467
Nipuna Rajapaksha, S. Jayasinghe, H. Enshaei, N. Jayarathne
The most common Induction Motor (IM) faults discussed in literature are of three types, namely, bearing faults, stator faults, and rotor faults. These faults often result in unexpected failures or unplanned shutdowns of IMs. A reliable condition monitoring method, however, can ensure their safe and uninterrupted operation. The acoustic signal analysis is one of the effective condition monitoring techniques used to identify incipient faults in IMs while Artificial Intelligence (AI) technology has been widely integrated with Machine Learning (ML) algorithms to automate the machinery condition monitoring process. This paper reviews application of acoustic signal analysis to detect impending failures of IMs. Moreover, time domain and frequency domain analysis techniques and features that can be derived from raw acoustic data are also discussed in detail. The paper also presents intelligent condition monitoring systems that are developed to improve fault diagnostic accuracy and recent developments in acoustic signal analysis based condition monitoring of IMs.
{"title":"Acoustic Analysis Based Condition Monitoring of Induction Motors: A Review","authors":"Nipuna Rajapaksha, S. Jayasinghe, H. Enshaei, N. Jayarathne","doi":"10.1109/SPEC52827.2021.9709467","DOIUrl":"https://doi.org/10.1109/SPEC52827.2021.9709467","url":null,"abstract":"The most common Induction Motor (IM) faults discussed in literature are of three types, namely, bearing faults, stator faults, and rotor faults. These faults often result in unexpected failures or unplanned shutdowns of IMs. A reliable condition monitoring method, however, can ensure their safe and uninterrupted operation. The acoustic signal analysis is one of the effective condition monitoring techniques used to identify incipient faults in IMs while Artificial Intelligence (AI) technology has been widely integrated with Machine Learning (ML) algorithms to automate the machinery condition monitoring process. This paper reviews application of acoustic signal analysis to detect impending failures of IMs. Moreover, time domain and frequency domain analysis techniques and features that can be derived from raw acoustic data are also discussed in detail. The paper also presents intelligent condition monitoring systems that are developed to improve fault diagnostic accuracy and recent developments in acoustic signal analysis based condition monitoring of IMs.","PeriodicalId":236251,"journal":{"name":"2021 IEEE Southern Power Electronics Conference (SPEC)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116898063","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 : 2021-12-06DOI: 10.1109/SPEC52827.2021.9709475
Kuseso Onai, O. Ojo
In bidirectional Wireless power transfer (BDWPT) for electric vehicle battery chargers, aside improving efficiency, the effects of stray magnetic field on users and the general public is also of concern. Hence, the stray magnetic field and power loss are key performance indicators to be optimized. The optimization, reported in literature, is obtained with Pareto front which is derived by sweeping the physical parameters of the coil. This optimization is realized at the design stage. This work explores the optimization of these performance indicators from the control point of view and can be achieved on-line. The method discussed here involves the control of the duty cycle and displacement angles of the inverter and rectifier voltages to meet the objective of reducing the stray field and power losses. To this end, the classical Lagrange optimization procedure is employed to simultaneously minimize the stray magnetic field and power loss for a given output power condition.
{"title":"Exploration of The Non – Commensurate Performance Objectives of Bi – Directional Vehicle to Grid Resonant Converter Based Battery Charger","authors":"Kuseso Onai, O. Ojo","doi":"10.1109/SPEC52827.2021.9709475","DOIUrl":"https://doi.org/10.1109/SPEC52827.2021.9709475","url":null,"abstract":"In bidirectional Wireless power transfer (BDWPT) for electric vehicle battery chargers, aside improving efficiency, the effects of stray magnetic field on users and the general public is also of concern. Hence, the stray magnetic field and power loss are key performance indicators to be optimized. The optimization, reported in literature, is obtained with Pareto front which is derived by sweeping the physical parameters of the coil. This optimization is realized at the design stage. This work explores the optimization of these performance indicators from the control point of view and can be achieved on-line. The method discussed here involves the control of the duty cycle and displacement angles of the inverter and rectifier voltages to meet the objective of reducing the stray field and power losses. To this end, the classical Lagrange optimization procedure is employed to simultaneously minimize the stray magnetic field and power loss for a given output power condition.","PeriodicalId":236251,"journal":{"name":"2021 IEEE Southern Power Electronics Conference (SPEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117009130","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 : 2021-12-06DOI: 10.1109/SPEC52827.2021.9709459
Haoyuan Yu, Yanbo Wang, Zhe Chen
The coexistence of electricity-driven train and hydrogen-driven train is becoming an important trend for future metro transportation. This article presents a novel electricity-hydrogen-integrated hybrid DC traction power system (HDCTPS) to integrate renewable microgrid, hydrogen subsystem and DC traction power system (DCTPS). A triple active bridge converter-based metro energy router is developed to integrate efficiently those three subsystems in HDCTPS. Then, the operation and control framework of HDCTPS is established, where the four operation modes are developed according to the power characteristic of renewable energy and regenerative braking operation of DCTPS. Power management and control strategy of HDCTPS are developed to perform smooth transition between different modes. Simulation results are given to validate the proposed HDCTPS and control framework. The proposed HDCTPS, as a novel operation strategy for future metro system, is able to utilize efficiently renewable energies and regenerative braking energy to achieve energy saving.
{"title":"A Renwable Electricity-Hydrogen-Integrated Hybrid DC Traction Power System","authors":"Haoyuan Yu, Yanbo Wang, Zhe Chen","doi":"10.1109/SPEC52827.2021.9709459","DOIUrl":"https://doi.org/10.1109/SPEC52827.2021.9709459","url":null,"abstract":"The coexistence of electricity-driven train and hydrogen-driven train is becoming an important trend for future metro transportation. This article presents a novel electricity-hydrogen-integrated hybrid DC traction power system (HDCTPS) to integrate renewable microgrid, hydrogen subsystem and DC traction power system (DCTPS). A triple active bridge converter-based metro energy router is developed to integrate efficiently those three subsystems in HDCTPS. Then, the operation and control framework of HDCTPS is established, where the four operation modes are developed according to the power characteristic of renewable energy and regenerative braking operation of DCTPS. Power management and control strategy of HDCTPS are developed to perform smooth transition between different modes. Simulation results are given to validate the proposed HDCTPS and control framework. The proposed HDCTPS, as a novel operation strategy for future metro system, is able to utilize efficiently renewable energies and regenerative braking energy to achieve energy saving.","PeriodicalId":236251,"journal":{"name":"2021 IEEE Southern Power Electronics Conference (SPEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131607104","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 : 2021-12-06DOI: 10.1109/SPEC52827.2021.9709436
Nipuna Rajapaksha, S. Jayasinghe, H. Enshaei, N. Jayarathne
Three-phase induction motors (IMs) are one of the most employed electric machines in industrial and household applications. Condition monitoring of these machines is essential to avoid unplanned maintenance and thereby enhance the availability. Artificial Intelligence (AI) technologies are emerging as an advanced tool for automating condition monitoring process to detect incipient faults at early stages. Machine Learning (ML) algorithms have been identified as a promising approach for condition monitoring of IMs and predicting maintenance to avoid failures. However, selecting the suitable ML algorithm for a given application is challenging because there is no predefined set of application-based algorithms. In addition, raw data processing and feature selection need careful attention to improve the accuracy of the results. This paper reviews supervised ML algorithms that can be used for condition monitoring of IMs and identifies their benefits and drawbacks. It then discusses how the dominant features from raw data can be selected through time domain and frequency domain analysis using the acoustic data collected from a three-phase induction motor. The study investigates classification accuracy of each ML algorithm and a procedure for selecting an algorithm based on the experimental results. Results of this study show that Support Vector Machines (SVM) algorithm outperforms other competing algorithms in condition monitoring of IMs when the dominant frequency components obtained through Fast Fourier Transform (FFT) are used as training data.
{"title":"Supervised Machine Learning Algorithm Selection for Condition Monitoring of Induction Motors","authors":"Nipuna Rajapaksha, S. Jayasinghe, H. Enshaei, N. Jayarathne","doi":"10.1109/SPEC52827.2021.9709436","DOIUrl":"https://doi.org/10.1109/SPEC52827.2021.9709436","url":null,"abstract":"Three-phase induction motors (IMs) are one of the most employed electric machines in industrial and household applications. Condition monitoring of these machines is essential to avoid unplanned maintenance and thereby enhance the availability. Artificial Intelligence (AI) technologies are emerging as an advanced tool for automating condition monitoring process to detect incipient faults at early stages. Machine Learning (ML) algorithms have been identified as a promising approach for condition monitoring of IMs and predicting maintenance to avoid failures. However, selecting the suitable ML algorithm for a given application is challenging because there is no predefined set of application-based algorithms. In addition, raw data processing and feature selection need careful attention to improve the accuracy of the results. This paper reviews supervised ML algorithms that can be used for condition monitoring of IMs and identifies their benefits and drawbacks. It then discusses how the dominant features from raw data can be selected through time domain and frequency domain analysis using the acoustic data collected from a three-phase induction motor. The study investigates classification accuracy of each ML algorithm and a procedure for selecting an algorithm based on the experimental results. Results of this study show that Support Vector Machines (SVM) algorithm outperforms other competing algorithms in condition monitoring of IMs when the dominant frequency components obtained through Fast Fourier Transform (FFT) are used as training data.","PeriodicalId":236251,"journal":{"name":"2021 IEEE Southern Power Electronics Conference (SPEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133994593","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 : 2021-12-06DOI: 10.1109/SPEC52827.2021.9709460
Shaetrun Pathmanathan, Amir Hakemibarabadi, M. Vilathgamuwa
A growing heart failure population necessitates medical interventions beyond which waiting for transplants can provide. Ventricular Assist Devices (VAD) have proven a preliminarily successful bridging therapy until transplantation. Developments have enabled VADs as a destination therapy, potentially avoiding life threatening circumstances while on the transplant waiting list. The percutaneous driveline required to power, control and measure VAD performance threatens life extension premise with infections. Wireless power and data transfer proves a promising solution. To enable its demand flexibility, a feedback loop that can function despite implant environment complications, is required. This research explores the development and analysis of wireless power transfer assistive feedback communications, to reveal feedback loop delays caused by the implant environment and the hardware itself.Numerical estimates and Finite Element Simulations (FES) establish the presence of delay to a Medical Implant Communications Service (MICS) band radiofrequency signal. Experimental measurements, confirm the presence of environmentally inherent delays. Signaled measurements indicate significantly larger systemic delays. Inductive Power Transmission (IPT) simulations indicate adverse effects to the IPT system’s performance from systemic delays applied to the feedback loop. The system is adjusted to counter the effects of the adversary delay. Pre-and post-tuned responses indicate unavoidable effects of systemic delays.
{"title":"Analysis of Transcutaneous Communication Delays in a Wirelessly Powered Ventricular Assist Device","authors":"Shaetrun Pathmanathan, Amir Hakemibarabadi, M. Vilathgamuwa","doi":"10.1109/SPEC52827.2021.9709460","DOIUrl":"https://doi.org/10.1109/SPEC52827.2021.9709460","url":null,"abstract":"A growing heart failure population necessitates medical interventions beyond which waiting for transplants can provide. Ventricular Assist Devices (VAD) have proven a preliminarily successful bridging therapy until transplantation. Developments have enabled VADs as a destination therapy, potentially avoiding life threatening circumstances while on the transplant waiting list. The percutaneous driveline required to power, control and measure VAD performance threatens life extension premise with infections. Wireless power and data transfer proves a promising solution. To enable its demand flexibility, a feedback loop that can function despite implant environment complications, is required. This research explores the development and analysis of wireless power transfer assistive feedback communications, to reveal feedback loop delays caused by the implant environment and the hardware itself.Numerical estimates and Finite Element Simulations (FES) establish the presence of delay to a Medical Implant Communications Service (MICS) band radiofrequency signal. Experimental measurements, confirm the presence of environmentally inherent delays. Signaled measurements indicate significantly larger systemic delays. Inductive Power Transmission (IPT) simulations indicate adverse effects to the IPT system’s performance from systemic delays applied to the feedback loop. The system is adjusted to counter the effects of the adversary delay. Pre-and post-tuned responses indicate unavoidable effects of systemic delays.","PeriodicalId":236251,"journal":{"name":"2021 IEEE Southern Power Electronics Conference (SPEC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122591780","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 : 2021-12-06DOI: 10.1109/SPEC52827.2021.9709461
Jayani Karunarathna, U. Madawala, C. Baguley, F. Blaabjerg, Monika Sandelic
Fast electric vehicle charging systems (FEVCSs) are becoming popular, but to assure long-term operation, further research on battery lifetime is necessary. This is because FEVCSs use high charging currents, and consequently subject Li-Ion batteries to high levels of average state of charge (SOC) and temperatures within a short period of time. Thus, degradation mechanisms, such as Lithium plating and electrolyte breakdown, are inevitable in Li-Ion batteries, leading to reduced battery capacity and lifetime. Therefore to investigate the battery reliability of FEVCSs, this paper proposes a two-stage modeling approach. Using the proposed model, the impact of SOC and temperature on the reliability of the battery as well as the reliability of a Li-Ion battery under typical fast EV charging conditions are investigated, and results are presented to show how the battery reliability deteriorates under fast charging conditions.
{"title":"Battery Reliability of Fast Electric Vehicle Charging Systems","authors":"Jayani Karunarathna, U. Madawala, C. Baguley, F. Blaabjerg, Monika Sandelic","doi":"10.1109/SPEC52827.2021.9709461","DOIUrl":"https://doi.org/10.1109/SPEC52827.2021.9709461","url":null,"abstract":"Fast electric vehicle charging systems (FEVCSs) are becoming popular, but to assure long-term operation, further research on battery lifetime is necessary. This is because FEVCSs use high charging currents, and consequently subject Li-Ion batteries to high levels of average state of charge (SOC) and temperatures within a short period of time. Thus, degradation mechanisms, such as Lithium plating and electrolyte breakdown, are inevitable in Li-Ion batteries, leading to reduced battery capacity and lifetime. Therefore to investigate the battery reliability of FEVCSs, this paper proposes a two-stage modeling approach. Using the proposed model, the impact of SOC and temperature on the reliability of the battery as well as the reliability of a Li-Ion battery under typical fast EV charging conditions are investigated, and results are presented to show how the battery reliability deteriorates under fast charging conditions.","PeriodicalId":236251,"journal":{"name":"2021 IEEE Southern Power Electronics Conference (SPEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125506092","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：