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Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems. It includes twenty-four papers, which cover scientific concepts, frameworks, architectures and various other ideas on analytics, trends and applications of transportation-related data.

Technology: general issues --- image dehazing --- traffic video dehazing --- dark channel prior --- spatial-temporal correlation --- contrast enhancement --- traffic signal control --- game theory --- decentralized control --- large-scale network control --- railway intrusion detection --- scene segmentation --- scene recognition --- adaptive feature extractor --- convolutional neural networks --- in-cylinder pressure identification --- speed iteration model --- EKF --- frequency modulation --- amplitude modulation --- sensor synchronization --- microscopic traffic data --- trajectory reconstruction --- expectation maximization --- vehicle matching --- artificial neural networks --- metro --- transportation --- user flow forecast --- matrix inversion --- time-varying matrix --- noise problem in time-varying matrix inversion --- recurrent neural network (RNN) --- RNN-based solver --- real-time fast computing --- real-time estimation --- probe vehicle --- traffic density --- neural network --- level of market penetration rate --- deep neural network --- neural artistic extraction --- objectification --- ride comfort --- subjective evaluation --- road surface recognition --- Gaussian background model --- abnormal road surface --- acceleration sensor --- traffic state prediction --- spatio-temporal traffic modeling --- simulation --- machine learning --- hyper parameter optimization --- ITS --- crash risk modeling --- hazardous materials --- highway safety --- operations research --- prescriptive analytics --- shortest path problem --- trucking --- vehicle routing problem --- data visualization --- descriptive analytics --- predictive analytics --- urban rail transit interior noise --- smartphone sensing --- XGBoost classifier --- railway maintenance --- vehicle trajectory prediction --- license plate data --- trip chain --- turning state transit --- route choice behavior --- real world experiment --- Intelligent Transportation Systems (ITS) --- advanced traveler information systems (ATIS) --- connected vehicles --- particle filter --- Kalman filter --- road safety --- travel time information system --- safety performance function --- bicycle sharing systems --- public transport systems --- data-driven classification of trips --- BSS underlying network --- trip index --- automatic rail-surface-scratch recognition and computation --- triangulation algorithm --- complete closed mesh model --- online rail-repair --- autonomous vehicle --- obstacle avoidance --- artificial potential field --- model predictive control --- human-like --- variable speed limits --- intelligent transportation systems --- ITS services --- driving simulator studies --- traffic modelling --- surrogate safety measures --- driving safety --- driving emotions --- driving stress --- lifestyle --- sensors --- heart rate --- plate scanning --- low-cost sensor --- sensor location problem --- traffic flow estimation --- n/a

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The global electric car fleet exceeded 7 million battery electric vehicles and plug-in hybrid electric vehicles in 2019, and will continue to increase in the future, as electrification is an important means of decreasing the greenhouse gas emissions of the transportation sector. The energy storage system is a very central component of the electric vehicle. The storage system needs to be cost-competitive, light, efficient, safe, and reliable, and to occupy little space and last for a long time. It should also be produced and disposed of in an environmentally friendly manner. This leaves many research challenges, and the purpose of this book is therefore to provide a platform for sharing the latest findings on energy storage systems for electric vehicles (electric cars, buses, aircraft, ships, etc.) Research in energy storage systems requires several sciences working together, and this book therefore include contributions from many different disciplines; this covers a wide range of topics, e.g. battery-management systems, state-of-charge and state-of-health estimation, thermal-battery-management systems, power electronics for energy storage devices, battery aging modelling, battery reuse and recycling, etc.

History of engineering & technology --- lithium-ion batteries --- non-aqueous electrolyte --- nitrile-based solvents --- butyronitrile --- SEI forming additives --- fast charging --- power batteries --- improved second-order RC equivalent circuit --- fuzzy unscented Kalman filtering algorithm --- joint estimation --- electric bus --- battery --- energy efficiency --- environmental conditions --- hybrid electric vehicles (HEVs) --- battery life --- multi-objective energy management --- adaptive equivalent consumption minimization strategy (A-ECMS) --- pontryagin’s minimum principle (PMP) --- particle swarm optimization (PSO) --- recurrent-neural-network (RNN) --- fuel cell hybrid electric vehicle --- least squares support vector machines (LSSVM) --- driving conditions identification --- power distribution --- electric vehicle --- lithium-ion battery --- estimation --- Kalman filter --- state-of-charge --- state-of-health --- resistance --- open-circuit voltage --- battery capacity --- battery modelling and simulation --- battery testing cycler --- battery thermal model --- lithium-ion polymer battery --- SLI battery --- dual-motor energy recovery --- regenerative braking system --- CVT speed ratio control --- motor minimum loss --- energy consumption and efficiency characteristics --- braking force distribution --- oil–electric–hydraulic hybrid system --- lowest instantaneous energy costs --- energy management --- global optimization --- retired batteries --- energy storage applications --- layered bidirectional equalization --- equalization algorithm --- state of charge --- available capacity --- adaptive model-based algorithm --- square root cubature Kalman filter --- li-ion battery --- performance degradation modelling --- electrified propulsion --- battery sizing --- powertrain optimization --- optimal energy management --- heat and mass transfer --- thermal analysis --- Lithium-ion battery --- micro-channel cooling plate --- battery thermal management --- MeshWorks --- CFD --- diffusion induced stress --- hydrostatic stress influence on diffusion --- electrode particle model --- battery mechanical aging --- coulomb counting --- open circuit voltage --- state of health --- temperature --- new energy vehicle --- power battery --- battery reusing --- echelon utilization --- battery recycling --- electric vehicles --- electro-hydraulic braking --- braking intention --- mode switching --- torque coordinated control --- Electric Truck Simulator --- Electric Vehicle (EV) --- Vehicle Routing Problem (VRP) --- Traveling Salesman Problem (TSP) --- least-energy routing algorithm --- EV batteries --- metric evaluation --- AC–AC converters --- battery chargers --- power conversion harmonics --- wireless power transmission --- electrochemical–thermal model --- artificial intelligence --- artificial neural networks --- hybrid vehicles --- state-of-charge estimation (SOC) --- linear quadratic estimator --- lithium ion battery --- iron phosphate --- cell expansion --- force --- lithium-ion cobalt battery --- state of energy --- adaptive EKF SOC estimation --- linear observer SOC estimation --- MATLAB --- Simscape --- electric buses --- thermal energy storage --- latent heat storage --- metallic phase change material --- cabin heating --- fuel cell --- automated guided vehicle --- hybrid energy storage system --- model-based design --- waveforms modeling --- autoregressive models of nonstationary signals

Choose an application

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

The global electric car fleet exceeded 7 million battery electric vehicles and plug-in hybrid electric vehicles in 2019, and will continue to increase in the future, as electrification is an important means of decreasing the greenhouse gas emissions of the transportation sector. The energy storage system is a very central component of the electric vehicle. The storage system needs to be cost-competitive, light, efficient, safe, and reliable, and to occupy little space and last for a long time. It should also be produced and disposed of in an environmentally friendly manner. This leaves many research challenges, and the purpose of this book is therefore to provide a platform for sharing the latest findings on energy storage systems for electric vehicles (electric cars, buses, aircraft, ships, etc.) Research in energy storage systems requires several sciences working together, and this book therefore include contributions from many different disciplines; this covers a wide range of topics, e.g. battery-management systems, state-of-charge and state-of-health estimation, thermal-battery-management systems, power electronics for energy storage devices, battery aging modelling, battery reuse and recycling, etc.

lithium-ion batteries --- non-aqueous electrolyte --- nitrile-based solvents --- butyronitrile --- SEI forming additives --- fast charging --- power batteries --- improved second-order RC equivalent circuit --- fuzzy unscented Kalman filtering algorithm --- joint estimation --- electric bus --- battery --- energy efficiency --- environmental conditions --- hybrid electric vehicles (HEVs) --- battery life --- multi-objective energy management --- adaptive equivalent consumption minimization strategy (A-ECMS) --- pontryagin’s minimum principle (PMP) --- particle swarm optimization (PSO) --- recurrent-neural-network (RNN) --- fuel cell hybrid electric vehicle --- least squares support vector machines (LSSVM) --- driving conditions identification --- power distribution --- electric vehicle --- lithium-ion battery --- estimation --- Kalman filter --- state-of-charge --- state-of-health --- resistance --- open-circuit voltage --- battery capacity --- battery modelling and simulation --- battery testing cycler --- battery thermal model --- lithium-ion polymer battery --- SLI battery --- dual-motor energy recovery --- regenerative braking system --- CVT speed ratio control --- motor minimum loss --- energy consumption and efficiency characteristics --- braking force distribution --- oil–electric–hydraulic hybrid system --- lowest instantaneous energy costs --- energy management --- global optimization --- retired batteries --- energy storage applications --- layered bidirectional equalization --- equalization algorithm --- state of charge --- available capacity --- adaptive model-based algorithm --- square root cubature Kalman filter --- li-ion battery --- performance degradation modelling --- electrified propulsion --- battery sizing --- powertrain optimization --- optimal energy management --- heat and mass transfer --- thermal analysis --- Lithium-ion battery --- micro-channel cooling plate --- battery thermal management --- MeshWorks --- CFD --- diffusion induced stress --- hydrostatic stress influence on diffusion --- electrode particle model --- battery mechanical aging --- coulomb counting --- open circuit voltage --- state of health --- temperature --- new energy vehicle --- power battery --- battery reusing --- echelon utilization --- battery recycling --- electric vehicles --- electro-hydraulic braking --- braking intention --- mode switching --- torque coordinated control --- Electric Truck Simulator --- Electric Vehicle (EV) --- Vehicle Routing Problem (VRP) --- Traveling Salesman Problem (TSP) --- least-energy routing algorithm --- EV batteries --- metric evaluation --- AC–AC converters --- battery chargers --- power conversion harmonics --- wireless power transmission --- electrochemical–thermal model --- artificial intelligence --- artificial neural networks --- hybrid vehicles --- state-of-charge estimation (SOC) --- linear quadratic estimator --- lithium ion battery --- iron phosphate --- cell expansion --- force --- lithium-ion cobalt battery --- state of energy --- adaptive EKF SOC estimation --- linear observer SOC estimation --- MATLAB --- Simscape --- electric buses --- thermal energy storage --- latent heat storage --- metallic phase change material --- cabin heating --- fuel cell --- automated guided vehicle --- hybrid energy storage system --- model-based design --- waveforms modeling --- autoregressive models of nonstationary signals