Pub Date : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131096
Behnoosh Meskoob, Yana Brovar, Y. Menshenin, Francois Blanchard, C. Fortin
Telecommunication systems require precise interface management and analysis as interactions play a key role in realizing the core functionality of such systems. This paper models and analyzes the interface relationships of different components of an industrial Reconfigurable Transmitarray Antenna system through Design Structure Matrix (DSM), which is a universal tool for precise interface management in various engineering disciplines. The novelty lies in the introduction of new types of interface relationships for telecommunication systems such as Radio Frequency, Electrical, Analog, and Digital, in an extension of typical interaction definitions in complex systems (Spatial, Structural, Energy, Material, and Informational). The approach presented in this paper aims to utilize and enhance systems engineering methods such as Object-Process Methodology (OPM) and DSM. While these tools have not been widely used to represent the nature of telecommunication systems, we demonstrate their potential to improve interface management process. The study of such a system led us to focus more attention on the signal flow as an interaction type. This type of focus is certainly less obvious in mechanical systems.
{"title":"Interface Management for Telecommunication System Design through OPM and DSM-based Approaches","authors":"Behnoosh Meskoob, Yana Brovar, Y. Menshenin, Francois Blanchard, C. Fortin","doi":"10.1109/SysCon53073.2023.10131096","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131096","url":null,"abstract":"Telecommunication systems require precise interface management and analysis as interactions play a key role in realizing the core functionality of such systems. This paper models and analyzes the interface relationships of different components of an industrial Reconfigurable Transmitarray Antenna system through Design Structure Matrix (DSM), which is a universal tool for precise interface management in various engineering disciplines. The novelty lies in the introduction of new types of interface relationships for telecommunication systems such as Radio Frequency, Electrical, Analog, and Digital, in an extension of typical interaction definitions in complex systems (Spatial, Structural, Energy, Material, and Informational). The approach presented in this paper aims to utilize and enhance systems engineering methods such as Object-Process Methodology (OPM) and DSM. While these tools have not been widely used to represent the nature of telecommunication systems, we demonstrate their potential to improve interface management process. The study of such a system led us to focus more attention on the signal flow as an interaction type. This type of focus is certainly less obvious in mechanical systems.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124706888","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 : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131106
Simon Shim, Ankit Dhokariya, Devangi Doshi, Sarvesh Upadhye, Varun Patwari, Ji-Yong Park
One of the basic requirements with adapting to cloud technology is to find an optimal resource allocation based on the dynamic workload. The default functioning of Kubernetes Horizontal Pod Auto-scaling in cloud is scaling of its pods only when the threshold of the cluster/application is crossed in order to adapt to increasing workload. Rather we want to deploy a proactive provisioning framework based on machine learning based predictions. We have demonstrated a novel deep learning framework based on a transformer in the area of dynamic workload predictions and showed how to apply the results to a custom auto-scaler in cloud. Our Framework builds time-series predictive models in machine learning such as ARIMA, LSTM, Bi-LSTM and transformer models. The dynamic scaling framework applies machine learning algorithms and presents recommendations to make proactive and smart decisions. Though the transformer model has been used in NLP and Vision applications mostly, we showed that the transformer based model can produce the most effective results in cloud workload predictions.
{"title":"Predictive Auto-scaler for Kubernetes Cloud","authors":"Simon Shim, Ankit Dhokariya, Devangi Doshi, Sarvesh Upadhye, Varun Patwari, Ji-Yong Park","doi":"10.1109/SysCon53073.2023.10131106","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131106","url":null,"abstract":"One of the basic requirements with adapting to cloud technology is to find an optimal resource allocation based on the dynamic workload. The default functioning of Kubernetes Horizontal Pod Auto-scaling in cloud is scaling of its pods only when the threshold of the cluster/application is crossed in order to adapt to increasing workload. Rather we want to deploy a proactive provisioning framework based on machine learning based predictions. We have demonstrated a novel deep learning framework based on a transformer in the area of dynamic workload predictions and showed how to apply the results to a custom auto-scaler in cloud. Our Framework builds time-series predictive models in machine learning such as ARIMA, LSTM, Bi-LSTM and transformer models. The dynamic scaling framework applies machine learning algorithms and presents recommendations to make proactive and smart decisions. Though the transformer model has been used in NLP and Vision applications mostly, we showed that the transformer based model can produce the most effective results in cloud workload predictions.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"35 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129947140","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 : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131075
Neginsadat Moghadasi, A. Kulkarni, Dustin Crayton, R. Grissom, J. Lambert, Lu Feng
Drones or unmanned aerial swarms play a significant role in surveillance, suppression, observation and tactical planning. These tools are used to assist in fighting forest wildfire threats by expediting the detecting, containing, and extinguishing fire process. This study proposed an initial specification for a UAV swarm, modelling the swarm with its operator, leader, and followers and verifying the model using PRISM. This study aims to model a continuous stream of rotary drones towards a suspected fire area for detection and constant monitoring and mapping of the fire. This approach enables low-cost solutions to smaller local users and provides continuous real-time telemetry of the fire.
{"title":"Formal Methods in Unmanned Aerial Vehicle Swarm Control for Wildfire Detection and Monitoring","authors":"Neginsadat Moghadasi, A. Kulkarni, Dustin Crayton, R. Grissom, J. Lambert, Lu Feng","doi":"10.1109/SysCon53073.2023.10131075","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131075","url":null,"abstract":"Drones or unmanned aerial swarms play a significant role in surveillance, suppression, observation and tactical planning. These tools are used to assist in fighting forest wildfire threats by expediting the detecting, containing, and extinguishing fire process. This study proposed an initial specification for a UAV swarm, modelling the swarm with its operator, leader, and followers and verifying the model using PRISM. This study aims to model a continuous stream of rotary drones towards a suspected fire area for detection and constant monitoring and mapping of the fire. This approach enables low-cost solutions to smaller local users and provides continuous real-time telemetry of the fire.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127658243","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 : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131113
Emerson A. Silva, L. Mozelli, M. Leles, Víctor C. S. Campos, Guilherme Palazzo
This study proposes the application of non-parametric filters based on the Singular Spectrum Analysis (SSA) method in linear and nonlinear control problems. The SSA is a general method for time series analysis that decomposes a signal into a set of additive components, including the measurement noise, in an adaptive way. It is highly adaptive to the behavior of signals and does not require any statistical assumptions. These flexible characteristics motivate the usage of SSA for control applications that demand filters with changing order or parameters, according to unknown disturbances of modeling errors, and applications that require the generation of smooth trajectories and commands. To show the feasibility of linear control, the SSA was used to attenuate the measurement noise in PID control loops, and in the nonlinear case, the SSA was used in an online trajectory generation approach. Experimental results showed that the SSA reduces the system’s sensitivity to noise, allowing the use of the derivative action while maintaining satisfactory performance. As a trajectory filter, the SSA successfully generated bounded derivatives from discontinuous input signals with similar response curves as those obtained by a parametric trajectory filter.
{"title":"A study on Non-parametric Filtering in Linear and Nonlinear Control Loops using the Singular Spectrum Analysis","authors":"Emerson A. Silva, L. Mozelli, M. Leles, Víctor C. S. Campos, Guilherme Palazzo","doi":"10.1109/SysCon53073.2023.10131113","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131113","url":null,"abstract":"This study proposes the application of non-parametric filters based on the Singular Spectrum Analysis (SSA) method in linear and nonlinear control problems. The SSA is a general method for time series analysis that decomposes a signal into a set of additive components, including the measurement noise, in an adaptive way. It is highly adaptive to the behavior of signals and does not require any statistical assumptions. These flexible characteristics motivate the usage of SSA for control applications that demand filters with changing order or parameters, according to unknown disturbances of modeling errors, and applications that require the generation of smooth trajectories and commands. To show the feasibility of linear control, the SSA was used to attenuate the measurement noise in PID control loops, and in the nonlinear case, the SSA was used in an online trajectory generation approach. Experimental results showed that the SSA reduces the system’s sensitivity to noise, allowing the use of the derivative action while maintaining satisfactory performance. As a trajectory filter, the SSA successfully generated bounded derivatives from discontinuous input signals with similar response curves as those obtained by a parametric trajectory filter.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127069750","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 : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131052
Jeffrey S. Chavis, Jeff Osborn, Daniel P. Syed, Reginald Terrell
In modern global business, municipal, and government environments, the complexities of architecting an Enterprise go well beyond the borders of the Enterprise itself. Today’s large-scale systems require a system-of-systems (SoS) or, more effectively, an Enterprise-of-Enterprises (EoE) strategy to fulfill mission requirements. The 10-layer rubric (10LR) provides an organizing framework that starts with identifying mission requirements and decomposes an SoS or EoE to better understand and abstract capability, complexity, extensibility, interoperability and scalability, with the goal of facilitating the architecture process effectively and efficiently. In a complex and dynamic multi-enterprise environment, a disciplined architecture methodology is essential for decision-makers to recognize the resources that are required to support the mission, vision, requirements, goals, and capabilities for an organization. The 10LR is a tool that can be used to identify key architectural elements to define system strategies, components, and standards. It is sufficiently abstract to enable decision-makers to see the relationships between the essential operational domains for rapid decision-making and specific enough to aid in thought processing the EoE technical complexities in simple layers and components. Decision-makers who wish to quickly recognize the supporting activities, applications, and elements that will enable their joint domain mission requirements and capabilities should consider adopting the 10LR.
{"title":"Architecting an Enterprise-of-Enterprises with the 10-Layer Rubric: Transforming EoE Decision-Making","authors":"Jeffrey S. Chavis, Jeff Osborn, Daniel P. Syed, Reginald Terrell","doi":"10.1109/SysCon53073.2023.10131052","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131052","url":null,"abstract":"In modern global business, municipal, and government environments, the complexities of architecting an Enterprise go well beyond the borders of the Enterprise itself. Today’s large-scale systems require a system-of-systems (SoS) or, more effectively, an Enterprise-of-Enterprises (EoE) strategy to fulfill mission requirements. The 10-layer rubric (10LR) provides an organizing framework that starts with identifying mission requirements and decomposes an SoS or EoE to better understand and abstract capability, complexity, extensibility, interoperability and scalability, with the goal of facilitating the architecture process effectively and efficiently. In a complex and dynamic multi-enterprise environment, a disciplined architecture methodology is essential for decision-makers to recognize the resources that are required to support the mission, vision, requirements, goals, and capabilities for an organization. The 10LR is a tool that can be used to identify key architectural elements to define system strategies, components, and standards. It is sufficiently abstract to enable decision-makers to see the relationships between the essential operational domains for rapid decision-making and specific enough to aid in thought processing the EoE technical complexities in simple layers and components. Decision-makers who wish to quickly recognize the supporting activities, applications, and elements that will enable their joint domain mission requirements and capabilities should consider adopting the 10LR.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123967138","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 : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131128
S. Acur, T. Hendriks
Companies operate invariably in an ecosystem of suppliers and competitors. For such companies, business strategies require a careful product portfolio positioning on basis of market differentiators. Relating business strategy to consequences on product architectures and components requires due-diligence analysis on how products function and their essential qualities in relation to the market differentiators looked for.Missing an understanding of the architectural impact of such business strategies may lead to business challenges or potentially losing a competitive advantage. This paper shows how a reference architecture can capture the architectural impact of market differentiators, and make explicit the core know-how, and core components. With an example from the E-bike market, this paper shows how different differentiators may lead to different core components in support of the business strategy.
{"title":"Reference Architecture in Relation to Business Reasoning","authors":"S. Acur, T. Hendriks","doi":"10.1109/SysCon53073.2023.10131128","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131128","url":null,"abstract":"Companies operate invariably in an ecosystem of suppliers and competitors. For such companies, business strategies require a careful product portfolio positioning on basis of market differentiators. Relating business strategy to consequences on product architectures and components requires due-diligence analysis on how products function and their essential qualities in relation to the market differentiators looked for.Missing an understanding of the architectural impact of such business strategies may lead to business challenges or potentially losing a competitive advantage. This paper shows how a reference architecture can capture the architectural impact of market differentiators, and make explicit the core know-how, and core components. With an example from the E-bike market, this paper shows how different differentiators may lead to different core components in support of the business strategy.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121595632","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 : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131116
Narasimhulu Pillutla, Shishir Kumar
MIL-STD-1553B bus is widely used as a primary bus in many avionics, satellite and military applications. As the number of subsystems increasing on the 1553B bus, increases complexities in the communications due to interdependency. Operational testing of these systems during system integration is a challenging task and requires data from multiple systems. Thus, the availability and readiness of subsystems are essential. In the absence of subsystems, 1553B based Remote Terminal (RT) simulator hardware can act as a real-time system to replicate the functionality of the individual subsystem. Hardware and development cost of the system goes high with the number of RTs to simulate in current scenario. The proposed solution describes the design of simulating 32 RTs using a single 1553B node and introduces a four node 1553B card based on ARTIX FPGA, which simulates 4x32 RTs. It is compact, low-cost and low power solution for providing real-time 1553B RT communication, which meets requirements of an avionics application to large extent.
{"title":"FPGA Implementation of Multi-RT Protocol for Avionics Simulation","authors":"Narasimhulu Pillutla, Shishir Kumar","doi":"10.1109/SysCon53073.2023.10131116","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131116","url":null,"abstract":"MIL-STD-1553B bus is widely used as a primary bus in many avionics, satellite and military applications. As the number of subsystems increasing on the 1553B bus, increases complexities in the communications due to interdependency. Operational testing of these systems during system integration is a challenging task and requires data from multiple systems. Thus, the availability and readiness of subsystems are essential. In the absence of subsystems, 1553B based Remote Terminal (RT) simulator hardware can act as a real-time system to replicate the functionality of the individual subsystem. Hardware and development cost of the system goes high with the number of RTs to simulate in current scenario. The proposed solution describes the design of simulating 32 RTs using a single 1553B node and introduces a four node 1553B card based on ARTIX FPGA, which simulates 4x32 RTs. It is compact, low-cost and low power solution for providing real-time 1553B RT communication, which meets requirements of an avionics application to large extent.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123404250","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 : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131235
Adeel A. Malik, Deepak K. Tosh
Cyber-threat landscape and adversarial capabilities have strengthened significantly due to the digital transformation and increased computational capacity of individuals. To stay ahead in the game, a cyber defender must have full situational awareness of any existing infrastructural vulnerabilities. Lever- aging vulnerability reports from NVD, MITRE, Twitter, etc., is an uphill task as one must find the existing vulnerabilities first, find vulnerability reports for the same, and then prepare a mitigation plan by going through each report individually. Moreover, human attention is needed to understand the context and decide whether the risk is acceptable or actionable. In this work, we architect and implement an AI-based prediction engine for our Cyber-threats and Vulnerability Information Analyzer (CyVIA) framework to classify vulnerability reports based on inferred attack types. This AI-engine speeds up the vulnerability analysis process for cyber defenders by providing the applicable attack types on the evaluated infrastructure. We test various unsupervised and supervised machine learning models to classify vulnerability reports. Furthermore, we compare the results, tune the best-observed models, and propose a final fully trained model with the highest accuracy for classifying new vulnerability reports.
{"title":"Dynamic Vulnerability Classification for Enhanced Cyber Situational Awareness","authors":"Adeel A. Malik, Deepak K. Tosh","doi":"10.1109/SysCon53073.2023.10131235","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131235","url":null,"abstract":"Cyber-threat landscape and adversarial capabilities have strengthened significantly due to the digital transformation and increased computational capacity of individuals. To stay ahead in the game, a cyber defender must have full situational awareness of any existing infrastructural vulnerabilities. Lever- aging vulnerability reports from NVD, MITRE, Twitter, etc., is an uphill task as one must find the existing vulnerabilities first, find vulnerability reports for the same, and then prepare a mitigation plan by going through each report individually. Moreover, human attention is needed to understand the context and decide whether the risk is acceptable or actionable. In this work, we architect and implement an AI-based prediction engine for our Cyber-threats and Vulnerability Information Analyzer (CyVIA) framework to classify vulnerability reports based on inferred attack types. This AI-engine speeds up the vulnerability analysis process for cyber defenders by providing the applicable attack types on the evaluated infrastructure. We test various unsupervised and supervised machine learning models to classify vulnerability reports. Furthermore, we compare the results, tune the best-observed models, and propose a final fully trained model with the highest accuracy for classifying new vulnerability reports.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123356123","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 : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131055
Venkata R. Chundru, W. Downing, J. Sarlashkar, B. Surampudi
In modern smart grid systems stability and reliability are important criteria due to the inclusion of multiple distributed energy sources such as photovoltaic (PV) and wind power generation. Battery energy storage systems (BESS) are key in enabling this objective of stable grid operation through ancillary grid services such as frequency regulation and energy arbitrage [1] [2]. However, these systems are subject to frequent transient operation under varying environmental conditions leading to significant performance degradation. Accurate prediction and control of battery charge and discharge processes is essential to ensure the safe and reliable operation of these systems. This work focuses on developing a controls-oriented model for Nickel-Manganese-Cobalt oxide (NMC) chemistry lithium-ion batteries based on the existing single-particle model with electrolyte and temperature (SPMeT) from the literature. This work extends the SPMeT model by adding aging mechanisms due to lithium plating on the cell anode during the charging process along with SEI growth. The SEI growth rate was attributed to both capacity and power fade. The lithium plating state tracks the loss in the inventory of cyclable lithium leading to a nonlinear drop in the capacity of the cells. Concurrent with these mechanisms the model tracks the growth of dendrites on the anode as a function of lithium plating. These aging mechanisms enable mitigation of aging for grid-connected cells by active management of charge profile in a model-based controls scheme. The dendrite growth estimate can be used for prognostics and schedule replacement of the cells to prevent battery fires. This model was calibrated using the data from LG M50T cells from automotive applications and later modified to work for grid duty applications. The resultant model is real-time compatible and battery management system (BMS)-friendly and can be used to study the impact of different grid duty cycles on battery life.
{"title":"Extension of Single Particle Model with electrolyte and Temperature (SPMeT) for Real-Time Performance and Safety Monitoring of Battery Energy Storage Systems (BESS) in Grid Service","authors":"Venkata R. Chundru, W. Downing, J. Sarlashkar, B. Surampudi","doi":"10.1109/SysCon53073.2023.10131055","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131055","url":null,"abstract":"In modern smart grid systems stability and reliability are important criteria due to the inclusion of multiple distributed energy sources such as photovoltaic (PV) and wind power generation. Battery energy storage systems (BESS) are key in enabling this objective of stable grid operation through ancillary grid services such as frequency regulation and energy arbitrage [1] [2]. However, these systems are subject to frequent transient operation under varying environmental conditions leading to significant performance degradation. Accurate prediction and control of battery charge and discharge processes is essential to ensure the safe and reliable operation of these systems. This work focuses on developing a controls-oriented model for Nickel-Manganese-Cobalt oxide (NMC) chemistry lithium-ion batteries based on the existing single-particle model with electrolyte and temperature (SPMeT) from the literature. This work extends the SPMeT model by adding aging mechanisms due to lithium plating on the cell anode during the charging process along with SEI growth. The SEI growth rate was attributed to both capacity and power fade. The lithium plating state tracks the loss in the inventory of cyclable lithium leading to a nonlinear drop in the capacity of the cells. Concurrent with these mechanisms the model tracks the growth of dendrites on the anode as a function of lithium plating. These aging mechanisms enable mitigation of aging for grid-connected cells by active management of charge profile in a model-based controls scheme. The dendrite growth estimate can be used for prognostics and schedule replacement of the cells to prevent battery fires. This model was calibrated using the data from LG M50T cells from automotive applications and later modified to work for grid duty applications. The resultant model is real-time compatible and battery management system (BMS)-friendly and can be used to study the impact of different grid duty cycles on battery life.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127941414","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 : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131061
B. V. Souza, S. Santos, André Marcorin de Oliveira, S. Givigi
This paper proposes a learning architecture approach for creating a virtual sensor model that detects product failures by using machine operating data from a discrete manufacturing process based on Gradient Boosting and Random Forest algorithms. The main contribution of this work is to propose a methodology for creating the virtual sensor to predict the manufactured product quality with precision equivalent to that obtained by actual sensors. Simulation results showed that the proposed virtual sensor detects precisely manufacturing failures caused by supplement position to produce the target products.
{"title":"Modelling of Virtual Sensors for Manufacturing Process using Gradient Boosting Technique","authors":"B. V. Souza, S. Santos, André Marcorin de Oliveira, S. Givigi","doi":"10.1109/SysCon53073.2023.10131061","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131061","url":null,"abstract":"This paper proposes a learning architecture approach for creating a virtual sensor model that detects product failures by using machine operating data from a discrete manufacturing process based on Gradient Boosting and Random Forest algorithms. The main contribution of this work is to propose a methodology for creating the virtual sensor to predict the manufactured product quality with precision equivalent to that obtained by actual sensors. Simulation results showed that the proposed virtual sensor detects precisely manufacturing failures caused by supplement position to produce the target products.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124595144","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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