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This book is a printed edition of the Special Issue Advances in Intelligent Vehicle Control that was published in the journal Sensors. It presents a collection of eleven papers that covers a range of topics, such as the development of intelligent control algorithms for active safety systems, smart sensors, and intelligent and efficient driving. The contributions presented in these papers can serve as useful tools for researchers who are interested in new vehicle technology and in the improvement of vehicle control systems.
Technology: general issues --- History of engineering & technology --- nonlinear height control --- active air suspension --- output constraints --- random road excitation --- disturbance observer design --- electric vehicles --- in-vehicle network --- controller area network --- cybersecurity --- intrusion detection --- deep learning --- transfer learning --- model-based control --- vehicle dynamic potential --- tyre thermodynamics --- tyre wear --- weather influence --- vehicle safety --- double lane change --- safety optimization --- noninverting buck–boost converter --- high efficiency --- wide bandwidth control --- discrete-time sliding-mode current control (DSMCC) --- electric vehicle (EV) --- driver vehicle system --- energy management --- vehicle localization --- GNSS receivers --- RTK corrections --- sensor redundancy --- VMS --- machine learning --- ADAS --- image processing --- environment perception --- semantics --- 3D multiple object detection --- multiple object tracking --- dynamic SLAM --- roll angle estimator --- Kalman filter --- LQR controller --- inertial sensors --- motorcycle lean angle --- electrical vehicles --- EV charging scheduling --- binary linear programming --- binary quadratic programming --- vehicle control --- reinforcement learning --- curriculum learning --- sim-to-real world --- intelligent mobility --- heterogeneous vehicular communication --- Internet of connected vehicles --- vehicular ad hoc networks --- heterogeneous networking --- Internet of Things --- n/a --- noninverting buck-boost converter
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The most important environmental challenge today's society is facing is to reduce the effects of CO2 emissions and global warming. Such an ambitious challenge can only be achieved through a holistic approach, capable of tackling the problem from a multidisciplinary point of view. One of the core technologies called to play a critical role in this approach is the use of energy storage systems. These systems enable, among other things, the balancing of the stochastic behavior of Renewable Sources and Distributed Generation in modern Energy Systems; the efficient supply of industrial and consumer loads; the development of efficient and clean transport; and the development of Nearly-Zero Energy Buildings (nZEB) and intelligent cities. Hybrid Energy Storage Systems (HESS) consist of two (or more) storage devices with complementary key characteristics, that are able to behave jointly with better performance than any of the technologies considered individually. Recent developments in storage device technologies, interface systems, control and monitoring techniques, or visualization and information technologies have driven the implementation of HESS in many industrial, commercial and domestic applications. This Special Issue focuses on the analysis, design and implementation of hybrid energy storage systems across a broad spectrum, encompassing different storage technologies (including electrochemical, capacitive, mechanical or mechanical storage devices), engineering branches (power electronics and control strategies; energy engineering; energy engineering; chemistry; modelling, simulation and emulation techniques; data analysis and algorithms; social and economic analysis; intelligent and Internet-of-Things (IoT) systems; and so on.), applications (energy systems, renewable energy generation, industrial applications, transportation, Uninterruptible Power Supplies (UPS) and critical load supply, etc.) and evaluation and performance (size and weight benefits, efficiency and power loss, economic analysis, environmental costs, etc.).
high gain converters --- power systems modeling --- load flow analysis --- pumped storage --- shipboard power systems --- storage --- hybrid energy storage systems (HESSs) --- buck-boost converter --- state of charge --- active power control --- rail transportation power systems --- lithium-ion batteries --- microgrids --- energy storage --- microgrid --- power-line signaling --- battery energy storage system (BESS) --- power electronic converters --- single-phase --- load modeling --- ultracapacitors --- smart home (SH) --- fault ride-through capability --- renewable energy sources --- battery management system --- multiport --- photovoltaic --- fuel cell (FC) --- DC power systems --- hybrid --- energy storage system --- micro combined heat and power (micro-CHP) system --- power quality --- solar photovoltaic --- electric vehicle (EV) --- energy storage technologies --- hybrid storage systems --- real coded genetic algorithm (RCGA) --- storage operation and maintenance costs
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The deployment of distributed renewable generation and e-mobility systems is creating a demand for improved dynamic performance, flexibility, and resilience in electrical grids. Various energy storages, such as stationary and electric vehicle batteries, together with power electronic interfaces, will play a key role in addressing these requests thanks to their enhanced functionality, fast response times, and configuration flexibility. For the large-scale implementation of this technology, the associated enabling developments are becoming of paramount importance. These include energy management algorithms; optimal sizing and coordinated control strategies of different storage technologies, including e-mobility storage; power electronic converters for interfacing renewables and battery systems, which allow for advanced interactions with the grid; and increase in round-trip efficiencies by means of advanced materials, components, and algorithms. This Special Issue contains the developments that have been published b researchers in the areas of power electronics, energy management and battery storage. A range of potential solutions to the existing barriers is presented, aiming to make the most out of these emerging technologies.
Technology: general issues --- Chemical engineering --- high-gain non-inverting buck-boost converter --- continuous conduction mode (CCM) --- discontinuous conduction mode --- electric vehicles --- stationary battery energy storage system --- battery automated system --- online state estimation --- thermal modeling --- first-order model --- second-order model --- Kalman filtering --- impedance network --- Z-source --- quasi-Z-source --- voltage source inverter --- voltage distortions --- machine learning --- Kalman filter --- thermal modelling --- online prediction --- electromagnetic impedance spectroscopy --- computational cost --- ANPC converter --- EV charging --- multilevel converter --- PWM methods --- SiC MOSFETs --- residential energy storage --- battery energy storage systems --- standards --- grid interfaceconverters --- intellectual property --- bidirectional converters --- AC-DC power converters --- DC-DC powerconverters --- multilevel converters --- partial power converters ---
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Nowadays, power electronics is an enabling technology in the energy development scenario. Furthermore, power electronics is strictly linked with several fields of technological growth, such as consumer electronics, IT and communications, electrical networks, utilities, industrial drives and robotics, and transportation and automotive sectors. Moreover, the widespread use of power electronics enables cost savings and minimization of losses in several technology applications required for sustainable economic growth. The topologies of DC–DC power converters and switching converters are under continuous development and deserve special attention to highlight the advantages and disadvantages for use increasingly oriented towards green and sustainable development. DC–DC converter topologies are developed in consideration of higher efficiency, reliable control switching strategies, and fault-tolerant configurations. Several types of switching converter topologies are involved in isolated DC–DC converter and nonisolated DC–DC converter solutions operating in hard-switching and soft-switching conditions. Switching converters have applications in a broad range of areas in both low and high power densities. The articles presented in the Special Issue titled "Advanced DC-DC Power Converters and Switching Converters" consolidate the work on the investigation of the switching converter topology considering the technological advances offered by innovative wide-bandgap devices and performance optimization methods in control strategies used.
History of engineering & technology --- interleaved operation --- three-winding coupled inductor --- high step-up DC–DC converter --- DC/DC converter --- multi-input-port --- bidirectional --- energy storage --- three-phase bidirectional isolated DC-DC converter --- burst-mode switching --- high-frequency transformer configurations --- phase-shift modulation --- intermittent switching --- three-phase dual-active bridge --- bidirectional converter --- high efficiency --- GaN --- SiC --- buck-boost converter --- high switching frequency --- electric vehicle (EV) --- fast charging --- interleaved dc–dc converter --- SiC devices --- Si devices --- Component Connection Method --- power electronics-based systems --- stability analysis --- state-space methods --- virtual synchronous generators --- DC-DC converters --- photovoltaics --- single-diode model --- state-space --- multi-port dual-active bridge (DAB) converter --- wide-band-gap (WBG) semiconductors --- silicon carbide (SiC) MOSFETs --- power converter --- automotive --- battery charger --- circuit modelling --- power electronics --- SiC MOSFET --- interleaved operation --- three-winding coupled inductor --- high step-up DC–DC converter --- DC/DC converter --- multi-input-port --- bidirectional --- energy storage --- three-phase bidirectional isolated DC-DC converter --- burst-mode switching --- high-frequency transformer configurations --- phase-shift modulation --- intermittent switching --- three-phase dual-active bridge --- bidirectional converter --- high efficiency --- GaN --- SiC --- buck-boost converter --- high switching frequency --- electric vehicle (EV) --- fast charging --- interleaved dc–dc converter --- SiC devices --- Si devices --- Component Connection Method --- power electronics-based systems --- stability analysis --- state-space methods --- virtual synchronous generators --- DC-DC converters --- photovoltaics --- single-diode model --- state-space --- multi-port dual-active bridge (DAB) converter --- wide-band-gap (WBG) semiconductors --- silicon carbide (SiC) MOSFETs --- power converter --- automotive --- battery charger --- circuit modelling --- power electronics --- SiC MOSFET
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Control system engineering is a multidisciplinary discipline that applies automatic control theory to design systems with desired behaviors in control environments. Automatic control theory has played a vital role in the advancement of engineering and science. It has become an essential and integral part of modern industrial and manufacturing processes. Today, the requirements for control precision have increased, and real systems have become more complex. In control engineering and all other engineering disciplines, the impact of advanced mathematical and computational methods is rapidly increasing. Advanced mathematical methods are needed because real-world control systems need to comply with several conditions related to product quality and safety constraints that have to be taken into account in the problem formulation. Conversely, the increment in mathematical complexity has an impact on the computational aspects related to numerical simulation and practical implementation of the algorithms, where a balance must also be maintained between implementation costs and the performance of the control system. This book is a comprehensive set of articles reflecting recent advances in developing and applying advanced mathematics and computational applications in control system engineering.
Technology: general issues --- doubly fed induction generator --- PI tuning --- LCL-filter --- passive damping --- advanced metaheuristics --- Bonferroni-Dunn and Friedman's tests --- resistance spot welding --- dynamic resistance model --- adaptive control --- energy savings --- adaptive disturbance rejection controller --- hybrid systems --- state constraint --- worm robot --- bio-inspired robots --- Streeter-Phelps model --- fractional-order control --- high observers --- river monitoring --- 3 DOF crane --- convex systems --- fault-tolerant control --- robust control --- qLPV systems --- Takagi-Sugeno systems --- chaos --- synchronization --- FPGA --- UDS --- distillation column heating actuator --- Buck-Boost converter --- Takagi-Sugeno model --- fuzzy observer with sliding modes --- nonlinear optimization --- turbulent flow --- friction factor --- pipe roughness --- minor losses --- PID control and variants --- Intelligent control techniques --- neural control --- brushless DC electric motors --- sensors and virtual instruments --- analysis and treatment of signals --- doubly fed induction generator --- PI tuning --- LCL-filter --- passive damping --- advanced metaheuristics --- Bonferroni-Dunn and Friedman's tests --- resistance spot welding --- dynamic resistance model --- adaptive control --- energy savings --- adaptive disturbance rejection controller --- hybrid systems --- state constraint --- worm robot --- bio-inspired robots --- Streeter-Phelps model --- fractional-order control --- high observers --- river monitoring --- 3 DOF crane --- convex systems --- fault-tolerant control --- robust control --- qLPV systems --- Takagi-Sugeno systems --- chaos --- synchronization --- FPGA --- UDS --- distillation column heating actuator --- Buck-Boost converter --- Takagi-Sugeno model --- fuzzy observer with sliding modes --- nonlinear optimization --- turbulent flow --- friction factor --- pipe roughness --- minor losses --- PID control and variants --- Intelligent control techniques --- neural control --- brushless DC electric motors --- sensors and virtual instruments --- analysis and treatment of signals
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Nowadays, power electronics is an enabling technology in the energy development scenario. Furthermore, power electronics is strictly linked with several fields of technological growth, such as consumer electronics, IT and communications, electrical networks, utilities, industrial drives and robotics, and transportation and automotive sectors. Moreover, the widespread use of power electronics enables cost savings and minimization of losses in several technology applications required for sustainable economic growth. The topologies of DC–DC power converters and switching converters are under continuous development and deserve special attention to highlight the advantages and disadvantages for use increasingly oriented towards green and sustainable development. DC–DC converter topologies are developed in consideration of higher efficiency, reliable control switching strategies, and fault-tolerant configurations. Several types of switching converter topologies are involved in isolated DC–DC converter and nonisolated DC–DC converter solutions operating in hard-switching and soft-switching conditions. Switching converters have applications in a broad range of areas in both low and high power densities. The articles presented in the Special Issue titled "Advanced DC-DC Power Converters and Switching Converters" consolidate the work on the investigation of the switching converter topology considering the technological advances offered by innovative wide-bandgap devices and performance optimization methods in control strategies used.
History of engineering & technology --- interleaved operation --- three-winding coupled inductor --- high step-up DC–DC converter --- DC/DC converter --- multi-input-port --- bidirectional --- energy storage --- three-phase bidirectional isolated DC-DC converter --- burst-mode switching --- high-frequency transformer configurations --- phase-shift modulation --- intermittent switching --- three-phase dual-active bridge --- bidirectional converter --- high efficiency --- GaN --- SiC --- buck-boost converter --- high switching frequency --- electric vehicle (EV) --- fast charging --- interleaved dc–dc converter --- SiC devices --- Si devices --- Component Connection Method --- power electronics-based systems --- stability analysis --- state-space methods --- virtual synchronous generators --- DC-DC converters --- photovoltaics --- single-diode model --- state-space --- multi-port dual-active bridge (DAB) converter --- wide-band-gap (WBG) semiconductors --- silicon carbide (SiC) MOSFETs --- power converter --- automotive --- battery charger --- circuit modelling --- power electronics --- SiC MOSFET
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Control system engineering is a multidisciplinary discipline that applies automatic control theory to design systems with desired behaviors in control environments. Automatic control theory has played a vital role in the advancement of engineering and science. It has become an essential and integral part of modern industrial and manufacturing processes. Today, the requirements for control precision have increased, and real systems have become more complex. In control engineering and all other engineering disciplines, the impact of advanced mathematical and computational methods is rapidly increasing. Advanced mathematical methods are needed because real-world control systems need to comply with several conditions related to product quality and safety constraints that have to be taken into account in the problem formulation. Conversely, the increment in mathematical complexity has an impact on the computational aspects related to numerical simulation and practical implementation of the algorithms, where a balance must also be maintained between implementation costs and the performance of the control system. This book is a comprehensive set of articles reflecting recent advances in developing and applying advanced mathematics and computational applications in control system engineering.
Technology: general issues --- doubly fed induction generator --- PI tuning --- LCL-filter --- passive damping --- advanced metaheuristics --- Bonferroni–Dunn and Friedman’s tests --- resistance spot welding --- dynamic resistance model --- adaptive control --- energy savings --- adaptive disturbance rejection controller --- hybrid systems --- state constraint --- worm robot --- bio-inspired robots --- Streeter–Phelps model --- fractional-order control --- high observers --- river monitoring --- 3 DOF crane --- convex systems --- fault-tolerant control --- robust control --- qLPV systems --- Takagi–Sugeno systems --- chaos --- synchronization --- FPGA --- UDS --- distillation column heating actuator --- Buck-Boost converter --- Takagi–Sugeno model --- fuzzy observer with sliding modes --- nonlinear optimization --- turbulent flow --- friction factor --- pipe roughness --- minor losses --- PID control and variants --- Intelligent control techniques --- neural control --- brushless DC electric motors --- sensors and virtual instruments --- analysis and treatment of signals --- n/a --- Bonferroni-Dunn and Friedman's tests --- Streeter-Phelps model --- Takagi-Sugeno systems --- Takagi-Sugeno model
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Nowadays, power electronics is an enabling technology in the energy development scenario. Furthermore, power electronics is strictly linked with several fields of technological growth, such as consumer electronics, IT and communications, electrical networks, utilities, industrial drives and robotics, and transportation and automotive sectors. Moreover, the widespread use of power electronics enables cost savings and minimization of losses in several technology applications required for sustainable economic growth. The topologies of DC–DC power converters and switching converters are under continuous development and deserve special attention to highlight the advantages and disadvantages for use increasingly oriented towards green and sustainable development. DC–DC converter topologies are developed in consideration of higher efficiency, reliable control switching strategies, and fault-tolerant configurations. Several types of switching converter topologies are involved in isolated DC–DC converter and nonisolated DC–DC converter solutions operating in hard-switching and soft-switching conditions. Switching converters have applications in a broad range of areas in both low and high power densities. The articles presented in the Special Issue titled "Advanced DC-DC Power Converters and Switching Converters" consolidate the work on the investigation of the switching converter topology considering the technological advances offered by innovative wide-bandgap devices and performance optimization methods in control strategies used.
interleaved operation --- three-winding coupled inductor --- high step-up DC–DC converter --- DC/DC converter --- multi-input-port --- bidirectional --- energy storage --- three-phase bidirectional isolated DC-DC converter --- burst-mode switching --- high-frequency transformer configurations --- phase-shift modulation --- intermittent switching --- three-phase dual-active bridge --- bidirectional converter --- high efficiency --- GaN --- SiC --- buck-boost converter --- high switching frequency --- electric vehicle (EV) --- fast charging --- interleaved dc–dc converter --- SiC devices --- Si devices --- Component Connection Method --- power electronics-based systems --- stability analysis --- state-space methods --- virtual synchronous generators --- DC-DC converters --- photovoltaics --- single-diode model --- state-space --- multi-port dual-active bridge (DAB) converter --- wide-band-gap (WBG) semiconductors --- silicon carbide (SiC) MOSFETs --- power converter --- automotive --- battery charger --- circuit modelling --- power electronics --- SiC MOSFET
Choose an application
Control system engineering is a multidisciplinary discipline that applies automatic control theory to design systems with desired behaviors in control environments. Automatic control theory has played a vital role in the advancement of engineering and science. It has become an essential and integral part of modern industrial and manufacturing processes. Today, the requirements for control precision have increased, and real systems have become more complex. In control engineering and all other engineering disciplines, the impact of advanced mathematical and computational methods is rapidly increasing. Advanced mathematical methods are needed because real-world control systems need to comply with several conditions related to product quality and safety constraints that have to be taken into account in the problem formulation. Conversely, the increment in mathematical complexity has an impact on the computational aspects related to numerical simulation and practical implementation of the algorithms, where a balance must also be maintained between implementation costs and the performance of the control system. This book is a comprehensive set of articles reflecting recent advances in developing and applying advanced mathematics and computational applications in control system engineering.
doubly fed induction generator --- PI tuning --- LCL-filter --- passive damping --- advanced metaheuristics --- Bonferroni–Dunn and Friedman’s tests --- resistance spot welding --- dynamic resistance model --- adaptive control --- energy savings --- adaptive disturbance rejection controller --- hybrid systems --- state constraint --- worm robot --- bio-inspired robots --- Streeter–Phelps model --- fractional-order control --- high observers --- river monitoring --- 3 DOF crane --- convex systems --- fault-tolerant control --- robust control --- qLPV systems --- Takagi–Sugeno systems --- chaos --- synchronization --- FPGA --- UDS --- distillation column heating actuator --- Buck-Boost converter --- Takagi–Sugeno model --- fuzzy observer with sliding modes --- nonlinear optimization --- turbulent flow --- friction factor --- pipe roughness --- minor losses --- PID control and variants --- Intelligent control techniques --- neural control --- brushless DC electric motors --- sensors and virtual instruments --- analysis and treatment of signals --- n/a --- Bonferroni-Dunn and Friedman's tests --- Streeter-Phelps model --- Takagi-Sugeno systems --- Takagi-Sugeno model
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Electrical power systems are evolving at the generation, transmission, and distribution levels. At distribution level, small generating and storage units—the so-called distributed energy sources (DERs)—are being installed close to consumption sites. The expansion of DERs is empowering renewable energy source integration and, as a consequence, new actors are appearing in electrical systems. Among them, the prosumer is a game-changer; the fruit of the behavior transformation of the consumer who has not only the ability to consume power but also to produce it. Microgrids can be understood as DER installations that have the capability of both grid-connected and grid-isolated operation. During the last decades, there has been a significant deployment of microgrids (e.g., in countries like the United States, Switzerland, and Denmark) and a consequent increase in renewable energy generation. This is contributing to the decarbonization of electrical power systems. However, the variability and intermittency of renewable sources introduce uncertainty, which implies a more complex operation and control. Taking into account that existing and future planned microgrids are being/going to be interconnected to the current electrical network, challenges in terms of design, operation, and control at power system level need to be addressed, considering existing regulations.
energy management system --- buck-boost converter --- generic object oriented substation event (GOOSE) communication --- stochastic optimization --- optimal dispatch --- decision tree --- coordinated control --- optimization --- congestion problems --- distributed optimization --- IEC 61850 Standard --- distributed energy resources (DERs) --- technical and economic optimization --- reliability evaluation --- power quality disturbances --- renewable --- DC microgrid --- HESS --- ruleless EV --- extension theory --- network planning --- integrated electrical and thermal grids --- reliability --- photovoltaic feasibility --- flexibility --- microgrid test facility --- microgrid --- multiresolution --- small-scale standalone microgrid --- IEC 61850 --- direct search method (DSM) --- maximum electrical efficiency --- load frequency control (LFC) --- droop control --- flexible generation --- grid independence --- frequency control --- particle swarm optimization --- battery storage --- microgrid stability controller (MSC) --- doubly fed induction machine --- coordinative optimization of energy --- power distribution --- hierarchical control scheme --- grounding --- operation --- electric energy market --- nonlinear programming --- cost and life --- total sliding-mode control --- distributed energy resource --- vehicle information system --- peak-cut --- smoothing wind power --- genetic algorithm --- medium-voltage networks --- vehicle-to-grid --- devices scheduling --- microgrids --- energy storage --- electric vehicle --- energy efficiency --- active filter --- embedded system --- multivariable generalized predictive control (MGPC) --- load power sharing --- flywheel energy storage (FES) --- renewable sources --- telecommunication power management --- micro-grid --- smart inverter --- distributed generation --- storage systems --- electric vehicle (EV) --- microgrid (MG) --- mesh configuration --- residential users --- renewable energy source --- radial configuration --- S-transform --- optimal power flow --- solid oxide fuel cell --- vehicle-to-grid (V2G) --- communication delay --- current harmonic reduction --- smart grids --- inrush current --- flexible and configurable architecture --- optimal capacity --- ESS effective rate --- smart grid --- multi-agent --- distributed energy resources --- regular EV --- peak-shift --- datacenter --- deterministic optimization --- plug and play --- chaos synchronization detection --- residential power systems --- power quality --- combined power generation system --- DC distribution --- isolated grid --- coordinated control strategy --- DC architectures --- predictive control --- demand-side management --- distributed generation (DG) --- curtailment
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