Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The topics of interest in this book include significant challenges in the BMS design of EV/HEV. The equivalent models developed for several types of integrated Li-ion batteries consider the environmental temperature and ageing effects. Different current profiles for testing the robustness of the Kalman filter type estimators of the battery state of charge are used in this book. Additionally, the BMS can integrate a real-time model-based sensor Fault Detection and Isolation (FDI) scheme for a Li-ion cell undergoing degradation, which uses the recursive least squares (RLS) method to estimate the equivalent circuit model (ECM) parameters. This book will fully meet the demands of a large community of readers and specialists working in the field due to its attractiveness and scientific content with a great openness to the side of practical applicability. This covers various interesting aspects, especially related to the characterization of commercial batteries, diagnosis and optimization of their performance, experimental testing and statistical analysis, thermal modelling, and implementation of the most suitable Kalman filter type estimators of high accuracy to estimate the state of charge

Technology: general issues --- arrayed waveguide grating (AWG) --- CMOS sensor --- direct laser lithography --- fiber Bragg grating (FBG) --- lithium-ion battery --- fault detection and isolation --- sensor fault --- battery model --- battery management systems --- battery degradation --- electric vehicles --- online parameter estimation --- recursive least squares --- parallel-connected cells --- measuring test bench --- current distribution --- tab contact resistance --- battery --- ultracapacitor --- supercapacitor --- electric mobility --- electric bus --- SAFT lithium-ion battery --- Simscape model --- 3RC ECM Li-ion battery model --- state of charge --- adaptive EKF SOC estimator --- adaptive UKF SOC estimator --- particle filter SOC estimator --- ADVISOR estimate

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The topics of interest in this book include significant challenges in the BMS design of EV/HEV. The equivalent models developed for several types of integrated Li-ion batteries consider the environmental temperature and ageing effects. Different current profiles for testing the robustness of the Kalman filter type estimators of the battery state of charge are used in this book. Additionally, the BMS can integrate a real-time model-based sensor Fault Detection and Isolation (FDI) scheme for a Li-ion cell undergoing degradation, which uses the recursive least squares (RLS) method to estimate the equivalent circuit model (ECM) parameters. This book will fully meet the demands of a large community of readers and specialists working in the field due to its attractiveness and scientific content with a great openness to the side of practical applicability. This covers various interesting aspects, especially related to the characterization of commercial batteries, diagnosis and optimization of their performance, experimental testing and statistical analysis, thermal modelling, and implementation of the most suitable Kalman filter type estimators of high accuracy to estimate the state of charge

arrayed waveguide grating (AWG) --- CMOS sensor --- direct laser lithography --- fiber Bragg grating (FBG) --- lithium-ion battery --- fault detection and isolation --- sensor fault --- battery model --- battery management systems --- battery degradation --- electric vehicles --- online parameter estimation --- recursive least squares --- parallel-connected cells --- measuring test bench --- current distribution --- tab contact resistance --- battery --- ultracapacitor --- supercapacitor --- electric mobility --- electric bus --- SAFT lithium-ion battery --- Simscape model --- 3RC ECM Li-ion battery model --- state of charge --- adaptive EKF SOC estimator --- adaptive UKF SOC estimator --- particle filter SOC estimator --- ADVISOR estimate

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The Special Issue of Energies on the subject area of “Intelligent Transportation Systems (ITS) for Electric Vehicles (EV)”, covers new work on EV and associated topics like charging process, smart grids, emerging ITS for EV and applications for electromoV market penetration with an increase of 60% per year, associated challenges of the charging process and system and changes in the energy market and grid. EV is associated with sustainability and the EU has committed to reducing CO2 emissions by 37.5 percent by 2030. The charging process and open energy market with renewable energy create interesting research problems where IoT and intelligent systems play an essential role in the flexibility of the EV charging process and the EV operation.bility. Considering EV market penetration with an increase of 60% per year, associated challenges of charging process and system and the change on the Energy market and Grid. EV is associated with sustainability with the commit of EU in, aiming to reduce CO2 emissions by 37.5 percent from 2021 to 2030. Charging process and open energy market with renewable energy creates interesting research problems where IoT and Intelligent System plays an essential role in the flexibility of the EV charging process and the EV operation.

History of engineering & technology --- vehicle electrification --- smart grids --- renewable energy sources --- energy storage systems --- power quality --- bidirectional --- power electronics. --- charging behaviors --- distribution locational marginal pricing --- distribution networks --- electric mobility --- electric vehicle --- operation --- reconfiguration --- smart city --- smart grid --- rapid charging --- charging navigation --- internet of things --- electric charging behaviour --- energy prices --- EVs --- travel simulator --- charging station --- prediction --- probability --- mobile App --- EV charging process --- blockchain --- IoT --- mobile app --- particle filter --- histogram of gradient --- sensor fusion --- neural network --- support vector machine --- object recognition --- electric bus --- emissions --- urban transportation --- energy mix --- automatic train operation --- multi-objective optimization --- shark smell optimization algorithm --- composite angle cosine --- dual-population evolution mechanism --- hardware-in-the-loop simulation --- daily activity chains --- electric vehicles --- optimization --- charging stations --- intelligent transportation systems --- ITS --- Dispatching Service --- Dispersed Generation --- Distribution Grid --- Electrical Vehicle --- Optimal Power Flow --- Power Flow --- Power System --- Simulation Models --- shared swap charging system --- operational design --- battery charging rate --- binary integer programming --- silicon carbide --- extreme fast charging --- DC transformer --- V2G --- urban complex --- peak shaving --- Hybrid Electric Vehicles (HEVs) --- energy management strategies (EMSs) --- driving cycle prediction

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is aimed at serving researchers, engineers, scientists, and engineering graduate and PhD students of engineering and physical science together with individuals interested in engineering and science. This book focuses on the application of engineering methods to complex systems including transportation, building, and manufacturing, with approaches representing a wide variety of disciplines of engineering and science. Throughout the book, great emphases are placed on engineering applications of complex systems, as well as the methodologies of automation, including artificial intelligence, automated and intelligent control, energy analysis, energy modelling, energy management, and optimised energy efficiency. The significant impact of recent studies that have been selected for presentation are of high interest in engineering complex systems. An attempt has been made to expose the reading audience of engineers and researchers to a broad range of theoretical and practical topics. The topics contained in the present book are of specific interest to engineers who are seeking expertise in transportation, building, and manufacturing technologies as well as mathematical modelling of complex systems, engineering approaches to engineering complex problems, automation via artificial intelligence methods, automated and intelligent control, and energy systems. The primary audience of this book are researchers, graduate students, and engineers in mechanical engineering, control engineering, computer engineering, electrical engineering, and science disciplines. In particular, the book can be used for training graduate and PhD students as well as senior undergraduate students to enhance their knowledge by taking a graduate or advanced undergraduate course in the areas of complex systems, control systems, energy systems, and engineering applications. The covered research topics are also of interest to engineers and academia who are seeking to expand their expertise in these areas.eng

History of engineering & technology --- microstructure --- carbon fibers --- polyacrylonitrile --- thermal stabilization --- recirculation fan frequency --- IR imaging --- extended-range electric bus --- adaptive-equivalent consumption minimum strategy --- Markov chain --- target driving cycles --- SOC reference curve --- energy management system --- building automation systems --- building energy efficiency --- daytime lighting --- lighting control systems --- EN 15232 standard --- four-wheel independent-drive --- electric vehicle --- skid steering --- differential steering --- sliding mode variable structure control --- robustness --- active 4WS system --- hierarchical control --- decoupling --- fractional sliding mode control --- vehicle-to-grid --- EV charging infrastructure --- optimal dispatch --- oil-to-electricity transformation for automobiles --- permanent magnet synchronous motor --- sliding mode control --- motion control --- fractional order --- sliding surface --- composite controller --- intelligent control (IC) --- fuzzy cognitive map (FCM) --- direct expansion air-conditioning (DX A/C) --- nonlinear --- coupling effect --- MIMO --- stability analysis --- Lyapunov function --- fuzzy bidirectional associative memories (FBAMs) --- URT --- multi-train optimization --- steep slope --- electrical network model --- regenerative energy dynamic losses --- Air-Conditioning --- On-Off control --- desert climate --- optimization --- Elman Neural Networks --- event-based consensus --- hierarchical leader–follower network --- hierarchical event-based control --- layer-to-layer delays

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The Special Issue of Energies on the subject area of “Intelligent Transportation Systems (ITS) for Electric Vehicles (EV)”, covers new work on EV and associated topics like charging process, smart grids, emerging ITS for EV and applications for electromoV market penetration with an increase of 60% per year, associated challenges of the charging process and system and changes in the energy market and grid. EV is associated with sustainability and the EU has committed to reducing CO2 emissions by 37.5 percent by 2030. The charging process and open energy market with renewable energy create interesting research problems where IoT and intelligent systems play an essential role in the flexibility of the EV charging process and the EV operation.bility. Considering EV market penetration with an increase of 60% per year, associated challenges of charging process and system and the change on the Energy market and Grid. EV is associated with sustainability with the commit of EU in, aiming to reduce CO2 emissions by 37.5 percent from 2021 to 2030. Charging process and open energy market with renewable energy creates interesting research problems where IoT and Intelligent System plays an essential role in the flexibility of the EV charging process and the EV operation.

vehicle electrification --- smart grids --- renewable energy sources --- energy storage systems --- power quality --- bidirectional --- power electronics. --- charging behaviors --- distribution locational marginal pricing --- distribution networks --- electric mobility --- electric vehicle --- operation --- reconfiguration --- smart city --- smart grid --- rapid charging --- charging navigation --- internet of things --- electric charging behaviour --- energy prices --- EVs --- travel simulator --- charging station --- prediction --- probability --- mobile App --- EV charging process --- blockchain --- IoT --- mobile app --- particle filter --- histogram of gradient --- sensor fusion --- neural network --- support vector machine --- object recognition --- electric bus --- emissions --- urban transportation --- energy mix --- automatic train operation --- multi-objective optimization --- shark smell optimization algorithm --- composite angle cosine --- dual-population evolution mechanism --- hardware-in-the-loop simulation --- daily activity chains --- electric vehicles --- optimization --- charging stations --- intelligent transportation systems --- ITS --- Dispatching Service --- Dispersed Generation --- Distribution Grid --- Electrical Vehicle --- Optimal Power Flow --- Power Flow --- Power System --- Simulation Models --- shared swap charging system --- operational design --- battery charging rate --- binary integer programming --- silicon carbide --- extreme fast charging --- DC transformer --- V2G --- urban complex --- peak shaving --- Hybrid Electric Vehicles (HEVs) --- energy management strategies (EMSs) --- driving cycle prediction