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The electrical energy on electrified bicycles offers new functional possibilities such as an active safety system to assist the rider during the braking process. This work shows the technical feasibility of such a system by presenting a rideable prototype. The so-called braking dynamics assistance system prevents the cyclist from both front wheel lockup and rollover (along the vehicle’s transverse axis).
Elektrofahrrad --- safety system --- Fahrdynamik --- Electric bicycle --- vehicle dynamics --- model-based design --- Verkehrssicherheit --- road safety --- Modellbasierte Entwicklung --- Sicherheitssystem
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In the course of a few years, automotive engineering went from an electrical and mechanical discipline to a mix of software and electrical/mechanical. The Automatic Transmission (AT) forms part of this current vehicle evolution towards complex mechatronic machines controlled by embedded control systems. Development processes have had to adapt to this evolution, forcing the companies to use new tools. One of these new tools is the Model-based design process: its implementation techniques and advantages are discussed in detail throughout this Thesis. The overall goal is to design and validate two modules of an Automatic Transmission software using this new tool.
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A key aspect of cyber-physical systems (CPS) is their potential for integrating information technologies with embedded control systems and physical systems to form new or improved functionalities. CPS thus draws upon advances in many areas. This positioning provides unprecedented opportunities for innovation, both within and across existing domains. However, at the same time, it is commonly understood that we are already stretching the limits of existing methodologies. In embarking towards CPS with such unprecedented capabilities, it becomes essential to improve our understanding of CPS complexity and how we can deal with it. Complexity has many facets, including complexity of the CPS itself, of the environments in which the CPS acts, and in terms of the organizations and supporting tools that develop, operate, and maintain CPS. This book is a result of a journal Special Issue, with the objective of providing a forum for researchers and practitioners to exchange their latest achievements and to identify critical issues, challenges, opportunities, and future directions for how to deal with the complexity of future CPS. The contributions include 10 papers on the following topics: (I) Systems and Societal Aspects Related to CPS and Their Complexity; (II) Model-Based Development Methods for CPS; (III) CPS Resource Management and Evolving Computing Platforms; and (IV) Architectures for CPS.
History of engineering & technology --- component-based software engineering --- mode --- mode-switch --- complexity --- cyber-physical systems --- systems engineering --- uncertainty --- microgrid --- distributed design --- self-similar architecture --- plug-n-play --- distributed control --- distribution network --- field test --- autonomous cyber-physical systems --- resilience --- ethics --- nano-bio-info-cogno technologies --- smart cyber-physical systems --- self-generated intelligence --- ampliative reasoning mechanism --- procedural abduction --- data-driven system control --- run-time acquired data --- computational functions --- self-adaptation capability --- human/socially-centered applications --- embedded systems --- software component --- component-based development --- CBD --- GPU --- GPU component --- allocation --- component allocation --- architecture layer --- time-triggered system --- real-time --- adaptation --- scheduling --- multi-core --- real-time systems --- Fixed-Priority Preemptive Scheduling (FPPS) --- mixed-criticality systems --- n/a --- Cyber Physical Systems --- Reactive Systems --- Model-Based Design --- Embedded Systems --- Automatic Code Generation --- IDE --- Internet of Things --- model testing --- mutation testing --- energy consumption --- EAST-ADL
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This Special Issue will include papers related to the planning, protection, and control of smart grids and microgrids, and their applications in the industry, transportation, water, waste, and urban and residential infrastructures. Authors are encouraged to present their latest research; reviews on topics including methods, approaches, systems, and technology; and interfaces to other domains such as big data, cybersecurity, human–machine, sustainability, and smart cities. The planning side of microgrids might include technology selection, scheduling, interconnected microgrids, and their integration with regional energy infrastructures. The protection side of microgrids might include topics related to protection strategies, risk management, protection technologies, abnormal scenario assessments, equipment and system protection layers, fault diagnosis, validation and verification, and intelligent safety systems. The control side of smart grids and microgrids might include control strategies, intelligent control algorithms and systems, control architectures, technologies, embedded systems, monitoring, and deployment and implementation.
Technology: general issues --- History of engineering & technology --- hybrid power plant --- off-grid electricity systems --- model-based design --- state-space model --- voltage stability --- frequency stability --- small-signal analysis --- control tuning --- controller validation --- critical clearing times --- diesel generators --- grid-feeding photovoltaics --- grid-forming battery storage systems --- stand-alone hybrid microgrids --- system stability degree --- the micro-hybrid method --- transient stability assessment --- power flow control --- power fluctuations --- renewable energy sources --- demand uncertainty --- augmenting path --- renewable energy --- microgrids --- simulation --- optimization --- battery energy storage system --- economic dispatch problem --- nonlinear programming formulation --- optimal reallocation of batteries --- mathematical optimization --- battery swap station --- charging station --- demand management --- demand response --- electric vehicle --- electricity markets --- power quality --- Vehicle-to-Grid --- smart grid --- power system --- distributed generation --- micro-grid --- load flow --- measurement uncertainties --- Isolated/Islanded Microgrids --- planning --- operation --- Demand-Side Management --- Microgrid --- DER --- MILP --- run-time --- full time-series optimization --- data reduction --- DER-CAM --- XENDEE --- DC microgrid --- power conditioner system --- scalable microgrid
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A key aspect of cyber-physical systems (CPS) is their potential for integrating information technologies with embedded control systems and physical systems to form new or improved functionalities. CPS thus draws upon advances in many areas. This positioning provides unprecedented opportunities for innovation, both within and across existing domains. However, at the same time, it is commonly understood that we are already stretching the limits of existing methodologies. In embarking towards CPS with such unprecedented capabilities, it becomes essential to improve our understanding of CPS complexity and how we can deal with it. Complexity has many facets, including complexity of the CPS itself, of the environments in which the CPS acts, and in terms of the organizations and supporting tools that develop, operate, and maintain CPS. This book is a result of a journal Special Issue, with the objective of providing a forum for researchers and practitioners to exchange their latest achievements and to identify critical issues, challenges, opportunities, and future directions for how to deal with the complexity of future CPS. The contributions include 10 papers on the following topics: (I) Systems and Societal Aspects Related to CPS and Their Complexity; (II) Model-Based Development Methods for CPS; (III) CPS Resource Management and Evolving Computing Platforms; and (IV) Architectures for CPS.
component-based software engineering --- mode --- mode-switch --- complexity --- cyber-physical systems --- systems engineering --- uncertainty --- microgrid --- distributed design --- self-similar architecture --- plug-n-play --- distributed control --- distribution network --- field test --- autonomous cyber-physical systems --- resilience --- ethics --- nano-bio-info-cogno technologies --- smart cyber-physical systems --- self-generated intelligence --- ampliative reasoning mechanism --- procedural abduction --- data-driven system control --- run-time acquired data --- computational functions --- self-adaptation capability --- human/socially-centered applications --- embedded systems --- software component --- component-based development --- CBD --- GPU --- GPU component --- allocation --- component allocation --- architecture layer --- time-triggered system --- real-time --- adaptation --- scheduling --- multi-core --- real-time systems --- Fixed-Priority Preemptive Scheduling (FPPS) --- mixed-criticality systems --- n/a --- Cyber Physical Systems --- Reactive Systems --- Model-Based Design --- Embedded Systems --- Automatic Code Generation --- IDE --- Internet of Things --- model testing --- mutation testing --- energy consumption --- EAST-ADL
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This Special Issue will include papers related to the planning, protection, and control of smart grids and microgrids, and their applications in the industry, transportation, water, waste, and urban and residential infrastructures. Authors are encouraged to present their latest research; reviews on topics including methods, approaches, systems, and technology; and interfaces to other domains such as big data, cybersecurity, human–machine, sustainability, and smart cities. The planning side of microgrids might include technology selection, scheduling, interconnected microgrids, and their integration with regional energy infrastructures. The protection side of microgrids might include topics related to protection strategies, risk management, protection technologies, abnormal scenario assessments, equipment and system protection layers, fault diagnosis, validation and verification, and intelligent safety systems. The control side of smart grids and microgrids might include control strategies, intelligent control algorithms and systems, control architectures, technologies, embedded systems, monitoring, and deployment and implementation.
hybrid power plant --- off-grid electricity systems --- model-based design --- state-space model --- voltage stability --- frequency stability --- small-signal analysis --- control tuning --- controller validation --- critical clearing times --- diesel generators --- grid-feeding photovoltaics --- grid-forming battery storage systems --- stand-alone hybrid microgrids --- system stability degree --- the micro-hybrid method --- transient stability assessment --- power flow control --- power fluctuations --- renewable energy sources --- demand uncertainty --- augmenting path --- renewable energy --- microgrids --- simulation --- optimization --- battery energy storage system --- economic dispatch problem --- nonlinear programming formulation --- optimal reallocation of batteries --- mathematical optimization --- battery swap station --- charging station --- demand management --- demand response --- electric vehicle --- electricity markets --- power quality --- Vehicle-to-Grid --- smart grid --- power system --- distributed generation --- micro-grid --- load flow --- measurement uncertainties --- Isolated/Islanded Microgrids --- planning --- operation --- Demand-Side Management --- Microgrid --- DER --- MILP --- run-time --- full time-series optimization --- data reduction --- DER-CAM --- XENDEE --- DC microgrid --- power conditioner system --- scalable microgrid
Choose an application
A key aspect of cyber-physical systems (CPS) is their potential for integrating information technologies with embedded control systems and physical systems to form new or improved functionalities. CPS thus draws upon advances in many areas. This positioning provides unprecedented opportunities for innovation, both within and across existing domains. However, at the same time, it is commonly understood that we are already stretching the limits of existing methodologies. In embarking towards CPS with such unprecedented capabilities, it becomes essential to improve our understanding of CPS complexity and how we can deal with it. Complexity has many facets, including complexity of the CPS itself, of the environments in which the CPS acts, and in terms of the organizations and supporting tools that develop, operate, and maintain CPS. This book is a result of a journal Special Issue, with the objective of providing a forum for researchers and practitioners to exchange their latest achievements and to identify critical issues, challenges, opportunities, and future directions for how to deal with the complexity of future CPS. The contributions include 10 papers on the following topics: (I) Systems and Societal Aspects Related to CPS and Their Complexity; (II) Model-Based Development Methods for CPS; (III) CPS Resource Management and Evolving Computing Platforms; and (IV) Architectures for CPS.
History of engineering & technology --- component-based software engineering --- mode --- mode-switch --- complexity --- cyber-physical systems --- systems engineering --- uncertainty --- microgrid --- distributed design --- self-similar architecture --- plug-n-play --- distributed control --- distribution network --- field test --- autonomous cyber-physical systems --- resilience --- ethics --- nano-bio-info-cogno technologies --- smart cyber-physical systems --- self-generated intelligence --- ampliative reasoning mechanism --- procedural abduction --- data-driven system control --- run-time acquired data --- computational functions --- self-adaptation capability --- human/socially-centered applications --- embedded systems --- software component --- component-based development --- CBD --- GPU --- GPU component --- allocation --- component allocation --- architecture layer --- time-triggered system --- real-time --- adaptation --- scheduling --- multi-core --- real-time systems --- Fixed-Priority Preemptive Scheduling (FPPS) --- mixed-criticality systems --- Cyber Physical Systems --- Reactive Systems --- Model-Based Design --- Embedded Systems --- Automatic Code Generation --- IDE --- Internet of Things --- model testing --- mutation testing --- energy consumption --- EAST-ADL
Choose an application
This Special Issue will include papers related to the planning, protection, and control of smart grids and microgrids, and their applications in the industry, transportation, water, waste, and urban and residential infrastructures. Authors are encouraged to present their latest research; reviews on topics including methods, approaches, systems, and technology; and interfaces to other domains such as big data, cybersecurity, human–machine, sustainability, and smart cities. The planning side of microgrids might include technology selection, scheduling, interconnected microgrids, and their integration with regional energy infrastructures. The protection side of microgrids might include topics related to protection strategies, risk management, protection technologies, abnormal scenario assessments, equipment and system protection layers, fault diagnosis, validation and verification, and intelligent safety systems. The control side of smart grids and microgrids might include control strategies, intelligent control algorithms and systems, control architectures, technologies, embedded systems, monitoring, and deployment and implementation.
Technology: general issues --- History of engineering & technology --- hybrid power plant --- off-grid electricity systems --- model-based design --- state-space model --- voltage stability --- frequency stability --- small-signal analysis --- control tuning --- controller validation --- critical clearing times --- diesel generators --- grid-feeding photovoltaics --- grid-forming battery storage systems --- stand-alone hybrid microgrids --- system stability degree --- the micro-hybrid method --- transient stability assessment --- power flow control --- power fluctuations --- renewable energy sources --- demand uncertainty --- augmenting path --- renewable energy --- microgrids --- simulation --- optimization --- battery energy storage system --- economic dispatch problem --- nonlinear programming formulation --- optimal reallocation of batteries --- mathematical optimization --- battery swap station --- charging station --- demand management --- demand response --- electric vehicle --- electricity markets --- power quality --- Vehicle-to-Grid --- smart grid --- power system --- distributed generation --- micro-grid --- load flow --- measurement uncertainties --- Isolated/Islanded Microgrids --- planning --- operation --- Demand-Side Management --- Microgrid --- DER --- MILP --- run-time --- full time-series optimization --- data reduction --- DER-CAM --- XENDEE --- DC microgrid --- power conditioner system --- scalable microgrid
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This open access book constitutes the proceedings of the 23rd International Conference on Fundamental Approaches to Software Engineering, FASE 2020, which took place in Dublin, Ireland, in April 2020, and was held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020. The 23 full papers, 1 tool paper and 6 testing competition papers presented in this volume were carefully reviewed and selected from 81 submissions. The papers cover topics such as requirements engineering, software architectures, specification, software quality, validation, verification of functional and non-functional properties, model-driven development and model transformation, software processes, security and software evolution.
Software engineering. --- Special purpose computers. --- Microprogramming . --- Architecture, Computer. --- Computers. --- Artificial intelligence. --- Software Engineering. --- Special Purpose and Application-Based Systems. --- Control Structures and Microprogramming. --- Computer System Implementation. --- Information Systems and Communication Service. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Architecture, Computer --- Computer programming --- Special purpose computers --- Computers --- Computer software engineering --- Engineering --- Software Engineering --- Special Purpose and Application-Based Systems --- Control Structures and Microprogramming --- Computer System Implementation --- Information Systems and Communication Service --- Artificial Intelligence --- open access --- software engineering --- requirements engineering --- model-based design --- software analysis --- testing --- software architectures --- security --- model transformations --- software evolution --- software product lines --- architecting --- artificial intelligence --- computer programming --- computer systems --- embedded systems --- mathematics --- software architecture --- software design --- Expert systems / knowledge-based systems --- Algorithms & data structures --- Systems analysis & design --- Computer networking & communications --- Artificial intelligence --- Computers, Special purpose. --- Microprogramming. --- Computer systems. --- Computer networks. --- Computer Communication Networks. --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- ADP systems (Computer systems) --- Computing systems --- Systems, Computer --- Distributed processing
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Modern power and energy systems are characterized by the wide integration of distributed generation, storage and electric vehicles, adoption of ICT solutions, and interconnection of different energy carriers and consumer engagement, posing new challenges and creating new opportunities. Advanced testing and validation methods are needed to efficiently validate power equipment and controls in the contemporary complex environment and support the transition to a cleaner and sustainable energy system. Real-time hardware-in-the-loop (HIL) simulation has proven to be an effective method for validating and de-risking power system equipment in highly realistic, flexible, and repeatable conditions. Controller hardware-in-the-loop (CHIL) and power hardware-in-the-loop (PHIL) are the two main HIL simulation methods used in industry and academia that contribute to system-level testing enhancement by exploiting the flexibility of digital simulations in testing actual controllers and power equipment. This book addresses recent advances in real-time HIL simulation in several domains (also in new and promising areas), including technique improvements to promote its wider use. It is composed of 14 papers dealing with advances in HIL testing of power electronic converters, power system protection, modeling for real-time digital simulation, co-simulation, geographically distributed HIL, and multiphysics HIL, among other topics.
Technology: general issues --- design methodology --- FPGA --- hardware in the loop --- LabVIEW --- real-time simulation --- power converters --- HIL --- CHIL --- integrated laboratories --- real-time communication platform --- power system testing --- co-simulation --- geographically distributed simulations --- power system protection and control --- holistic testing --- lab testing --- field testing --- PHIL --- PSIL --- pre-certification --- smart grids --- standards --- replica controller --- TCSC --- DPT --- testing --- control and protection --- large-scale power system --- voltage regulation --- distribution system --- power hardware-in-the-loop --- distributed energy resources --- extremum seeking control --- particle swarm optimization --- state estimation --- reactive power support --- volt–VAR --- model-based design --- multi physics simulation --- marine propulsion --- ship dynamic --- DC microgrid --- shipboard power systems --- under-frequency load shedding --- intelligent electronic device --- proof of concept --- hardware-in-the-loop testing --- real-time digital simulator --- frequency stability margin --- rate-of-change-of-frequency --- geographically distributed real-time simulation --- remote power hardware-in-the-Loop --- grid-forming converter --- hardware-in-the-loop --- simulation fidelity --- energy-based metric --- energy residual --- quasi-stationary --- Hardware-in-the-Loop (HIL) --- Control HIL (CHIL) --- Power HIL (PHIL) --- testing of smart grid technologies --- power electronics --- shifted frequency analysis --- dynamic phasors --- real-time hybrid-simulator (RTHS) --- hybrid simulation --- hardware-in-the-loop simulation (HILS) --- dynamic performance test (DPT) --- real-time simulator (RTS) --- testing of replicas --- multi-rate simulation --- EMT --- control --- inverters --- inverter-dominated grids --- power system transients --- predictive control --- hydro-electric plant --- variable speed operation --- ‘Hill Charts’ --- reduced-scale model --- testing and validation
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