2023 IEEE International Systems Conference (SysCon)最新文献_第2页

Model Based Validation of Intelligent Powertrain Strategies for Connected and Automated Vehicles 基于模型的网联自动驾驶汽车智能动力系统策略验证

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131092

Piyush S Bhagdikar, J. Sarlashkar, Stanislav Gankov, S. Rengarajan, Walter Downing, Scott Hotz

{"title":"Model Based Validation of Intelligent Powertrain Strategies for Connected and Automated Vehicles","authors":"Piyush S Bhagdikar, J. Sarlashkar, Stanislav Gankov, S. Rengarajan, Walter Downing, Scott Hotz","doi":"10.1109/SysCon53073.2023.10131092","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131092","url":null,"abstract":"Systems incorporating Vehicle to Everything (V2X) and conventional cellular based communication in vehicles can significantly help improve energy consumption via a combination of intelligent powertrain control strategies, smarter routing algorithms and driving in such a way as to minimize fuel economy and the emission of carbon dioxide, known as \"eco-driving.\" In projects led by the Southwest Research Institute (SwRI), large-scale traffic simulations are created to model real-world scenarios with dynamic behavior that is reactive to imposed changes. Coupled with high fidelity powertrain models, the closed loop framework enables research and development of such Connected and Automated Vehicle (CAV) enabled technologies at scale. This paper will discuss a traffic system simulation environment that was built based on the High Street urban corridor in Columbus, Ohio. Eco-driving strategies were tested at scale on a variety of powertrain platforms – internal combustion engines, hybrid electric and fully electric vehicles. The paper will focus on hybrid electric powertrain modeling along with details on how the powertrain model was leveraged to develop a sophisticated clustering scheme to help down-select speed traces from large scale simulation studies for validation on vehicle dynamometer. Nominal energy consumption improvement around 12% was observed with good match between simulation studies and vehicle testing.","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":"116440103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Game-Theoretic System Design for Non-Cooperative Scenarios 非合作情境下的博弈论系统设计

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131088

J. Colombi, Benjamin C. Donohoo

引用次数: 0

Statistical Characterization of Battery Energy Storage Systems in Mixed and Stacked Service Electrical Grid Operations 混合和堆叠服务电网运行中电池储能系统的统计特性

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131057

J. Sarlashkar, B. Surampudi, Venkata R. Chundru, W. Downing

{"title":"Statistical Characterization of Battery Energy Storage Systems in Mixed and Stacked Service Electrical Grid Operations","authors":"J. Sarlashkar, B. Surampudi, Venkata R. Chundru, W. Downing","doi":"10.1109/SysCon53073.2023.10131057","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131057","url":null,"abstract":"Battery energy storage system (BESS) is a key enabler of the modern renewable- and inverter-heavy electric grid. It facilitates integration of variable power generation such as wind and solar, and can provide a host of ancillary grid services and help defer infrastructure upgrades. Longevity and safety of BESS, however, remain unclear when subjected to such duties diverse in timescale, power, and state-of-charge (SOC). Much of the existing deployment of BESS provide a single grid service such as frequency regulation or load shifting. Further, the contemporary operating envelope of the BESS is deliberately conservative. In the work reported here, we extract essential characteristics of existing field operation and systematically develop methods to estimate the effect of extended range of services on BESS performance and safety. This extended range includes a multitude of ancillary services dispatched simultaneously (stacked duty) and sequentially (mixed duty) using wider envelope of timescale, power, and state-of-charge of BESS. The designed laboratory experiments can be used to construct regression models of BESS performance and safety, and to calibrate parameters of physics-inspired electrochemical representations such as the extended SPMeT model presented in a companion paper [1].","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"85 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":"127132006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Thirteen concepts to play it safe with the cloud 13个安全使用云的概念

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131180

T. Hendriks, B. Akesson, J. Voeten, M. Hendriks, Javier Coronel Parada, Miguel García-Gordillo, S. Sáez, J. Valls

引用次数: 0

Modeling UAS Flight Procedures for SORA Safety Objectives 基于SORA安全目标的无人机飞行程序建模

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10130845

Charles Mathou, Kevin Delmas, J. Chaudemar, Pierre de Saqui-Sannes

{"title":"Modeling UAS Flight Procedures for SORA Safety Objectives","authors":"Charles Mathou, Kevin Delmas, J. Chaudemar, Pierre de Saqui-Sannes","doi":"10.1109/SysCon53073.2023.10130845","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10130845","url":null,"abstract":"Development of unmanned aerial systems (UAS), made of an unmanned aerial vehicle (UAV) and equipment such as a ground station, has increased tremendously in recent years. This has made more pressing the need for new design methodologies that provide a reliable and thorough safety assessment throughout the entire design process. The European specific operations risk assessment (SORA) document provides recommended operational safety objectives (OSO) to achieve. The current paper lays groundwork to comply with OSOs pertaining to UAS flight procedures. Key criteria for modeling such procedures are identified and lead to the choice of the AltaRica DataFlow (ADF) language. The Cecilia Workshop is used to model three real-life UAS emergency flight procedures. Custom components developed for this model are presented while discussing the process of modeling a formal procedure from an informal text source. A safety analysis is performed on the resulting model by computing minimal cut sets on an undesired procedure outcome. The results are then reviewed, providing feedback to increase the procedures’ safety gain.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"12 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":"113963625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spiking Neural Network Implementation on FPGA for Multiclass Classification 基于FPGA的脉冲神经网络多类分类实现

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131076

Jin Zhang, Lei Zhang

{"title":"Spiking Neural Network Implementation on FPGA for Multiclass Classification","authors":"Jin Zhang, Lei Zhang","doi":"10.1109/SysCon53073.2023.10131076","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131076","url":null,"abstract":"Spiking Neural Network (SNN) is a particular Artificial Neural Networks (ANN) form. An SNN has similar features as an ANN, but an SNN has a different information system that will allow SNN to have higher energy efficiency than an ANN. This paper presents the design and implementation of an SNN on FPGA. The model of the SNN is designed to be lower power consumption than existing SNN models in the aspect of FPGA implementation and lower accuracy loss than the existing training method in the part of the algorithm. The coding scheme of the SNN model proposed in this paper is the rate coding scheme. This paper introduces a conversion method to directly map the trained parameters from ANN to SNN with negligible classification accuracy loss. Also, this paper demonstrates the technique of FPGA implementation for Spiking Exponential Function, Spiking SoftMax Function and Dynamic Adder Tree. This paper also presents the Time Division Component Reuse technic for lower resource utilization in the FPGA implementation of SNN. The proposed model has a power efficiency of 8841.7 frames per watt with negligible accuracy loss. The benchmark SNN model has a power efficiency of 337.6 frames per watt with an accuracy loss of 1.42 percent. The reference accuracy of the ANN model is 90.36 percent. For comparison, the specific model of the SNN has an accuracy of 90.39 percent.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"10 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":"128054764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Deep Reinforcement Learning Solution for the Low Level Motion Control of a Robot Manipulator System 机械臂系统低层运动控制的深度强化学习解决方案

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131174

Jacqueline Heaton, S. Givigi

引用次数: 0

Piecewise Rapidly-Exploring Random Tree Star 分段快速探索随机树星

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131112

Shayan Sheikhrezaei, H. Yeh, S. Kwon

{"title":"Piecewise Rapidly-Exploring Random Tree Star","authors":"Shayan Sheikhrezaei, H. Yeh, S. Kwon","doi":"10.1109/SysCon53073.2023.10131112","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131112","url":null,"abstract":"In this paper, we propose the piecewise technique of Rapidly-exploring Random Tree-Star (P-RRT*) algorithm used in low or medium specification agent(s) (rovers) in the two- dimensional (2-D) workspace. The traditional RRT, RRT*, and other path planning algorithms however efficient they have become; all treat a given environment as a whole and attempt to find a feasible path. This may result in higher memory utilization and a significant increase in processing time.We utilize the RRT* algorithm as the base and integrate it with the piecewise approach. Through P-RRT* technique, given an environment with no obstacles, we attempt to minimize the three vital elements used in the RRT* path planning algorithm (memory, power consumption, and time).A 2D simulation is utilized for demonstration purposes. Given a large workspace, we simulate over subregional workspaces where the number of nodes and step size are adjusted properly to minimize the cost. The simulation results show that dividing the entire simulation workspace into subregions and treating each subregion as a new workspace not only reduces memory utilization and processing time but also the power consumption as a result.The simulation results are shown versus the traditional RRT* algorithm; similar constraints are set for both the piecewise RRT* technique and the traditional RRT* algorithm; meaning that the number of nodes and step size is the same for both methods.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"66 7 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":"125869268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assuring Learning-Enabled Increasingly Autonomous Systems* 确保学习能力增强的自主系统*

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131227

Nandith Narayan, Parth Ganeriwala, Randolph M. Jones, M. Matessa, S. Bhattacharyya, Jennifer Davis, Hemant Purohit, Simone Fulvio Rollini

引用次数: 0

A Service-oriented Approach Supporting Model Integration in Model-based Systems Engineering 基于模型的系统工程中支持模型集成的面向服务方法

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131078

R. Chen, Guoxin Wang, Shouxuan Wu, Jinzhi Lu, Yan Yan

{"title":"A Service-oriented Approach Supporting Model Integration in Model-based Systems Engineering","authors":"R. Chen, Guoxin Wang, Shouxuan Wu, Jinzhi Lu, Yan Yan","doi":"10.1109/SysCon53073.2023.10131078","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131078","url":null,"abstract":"When using Model-Based Systems Engineering (MBSE) to develop complex systems, models using different syntax and semantics are typically implemented in a heterogeneous environment which leads to difficulties to realize data integrations across the entire lifecycle. Specifically, seamless exchanges between models of different modeling tools are needed to support system lifecycle activities such as requirement analysis, function analysis, verification and validation. This article illustrates a service-oriented approach to support model integration for model-based systems engineering, especially between architecture design and system verification. First, a set of semantic mapping rules between architecture models and simulation models based on Open Service of Lifecycle Collaboration (OSLC) are proposed to support the formalization of technical resources (models, data, APIs). Then OSLC adapters are developed to transform models, data and APIs into web-based services. The services are deployed by a service discovering plug-in within a specific modeling tool for model information exchange. The approach is illustrated by a case study on KARMA architecture model and Modelica simulation model for a six-degree-of-freedom robot (RobotR3) system. We evaluate the availability and efficiency of this method from both qualitative and quantitative perspectives. The results show that our approach is effective in model and data integration.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"17 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":"130136509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0