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This book details the advanced actuators for IEVs and the control algorithm design. In the actuator design, the configuration four-wheel independent drive/steering electric vehicles is reviewed. An in-wheel two-speed AMT with selectable one-way clutch is designed for IEV. Considering uncertainties, the optimization design for the planetary gear train of IEV is conducted. An electric power steering system is designed for IEV. In addition, advanced control algorithms are proposed in favour of active safety improvement. A supervision mechanism is applied to the segment drift control of autonomous driving. Double super-resolution network is used to design the intelligent driving algorithm. Torque distribution control technology and four-wheel steering technology are utilized for path tracking and adaptive cruise control. To advance the control accuracy, advanced estimation algorithms are studied in this book. The tyre-road peak friction coefficient under full slip rate range is identified based on the normalized tyre model. The pressure of the electro-hydraulic brake system is estimated based on signal fusion. Besides, a multi-semantic driver behaviour recognition model of autonomous vehicles is designed using confidence fusion mechanism. Moreover, a mono-vision based lateral localization system of low-cost autonomous vehicles is proposed with deep learning curb detection. To sum up, the discussed advanced actuators, control and estimation algorithms are beneficial to the active safety improvement of IEVs.

Technology: general issues --- History of engineering & technology --- Mechanical engineering & materials --- curb detection --- intelligent vehicles --- autonomous driving --- electro-hydraulic brake system --- master cylinder pressure estimation --- vehicle longitudinal dynamics --- brake linings’ coefficient of friction --- ACC --- safety evaluation --- human-like evaluation --- naturalistic driving study --- driving behavior characteristic --- electric vehicles --- independent drive --- direct yaw control --- torque distribution --- ultra-wideband --- relative localization --- enhanced precision --- clock self-correction --- homotopy --- Levenberg–Marquardt --- electric power steering --- steering actuator --- driverless racing vehicles --- control --- autonomous vehicles --- lane-changing --- decision-making --- path planning --- four-wheel independent drive --- four-wheel independent steering --- path tracking --- handling stability --- active safety control --- electric vehicle --- intelligent sanitation vehicle --- trash can-handling robot --- truss structure --- multi-objective parameter optimization --- topology optimization --- discrete optimization --- multiple load cases --- intelligent electric vehicles --- driver behavior recognition --- multi-semantic description --- confidence fusion --- drift parking --- open-loop control --- supervision mechanism --- two-speed AMT --- in-wheel-drive --- shifting process --- selectable one-way clutch --- five-degree-of-freedom vehicle model --- pressure–position model --- recursive least square --- advanced driver assistant systems --- adaptive cruise control --- direct yaw moment control --- extension control --- model predictive control --- optimization design --- vehicle structure design --- uncertainty --- deceleration device --- tyre-road peak friction coefficient estimation --- tyre model --- normalization --- incentive sensitivity --- four-wheel steering --- semantic segmentation --- high-resolution atlas training --- super-resolution --- curb detection --- intelligent vehicles --- autonomous driving --- electro-hydraulic brake system --- master cylinder pressure estimation --- vehicle longitudinal dynamics --- brake linings’ coefficient of friction --- ACC --- safety evaluation --- human-like evaluation --- naturalistic driving study --- driving behavior characteristic --- electric vehicles --- independent drive --- direct yaw control --- torque distribution --- ultra-wideband --- relative localization --- enhanced precision --- clock self-correction --- homotopy --- Levenberg–Marquardt --- electric power steering --- steering actuator --- driverless racing vehicles --- control --- autonomous vehicles --- lane-changing --- decision-making --- path planning --- four-wheel independent drive --- four-wheel independent steering --- path tracking --- handling stability --- active safety control --- electric vehicle --- intelligent sanitation vehicle --- trash can-handling robot --- truss structure --- multi-objective parameter optimization --- topology optimization --- discrete optimization --- multiple load cases --- intelligent electric vehicles --- driver behavior recognition --- multi-semantic description --- confidence fusion --- drift parking --- open-loop control --- supervision mechanism --- two-speed AMT --- in-wheel-drive --- shifting process --- selectable one-way clutch --- five-degree-of-freedom vehicle model --- pressure–position model --- recursive least square --- advanced driver assistant systems --- adaptive cruise control --- direct yaw moment control --- extension control --- model predictive control --- optimization design --- vehicle structure design --- uncertainty --- deceleration device --- tyre-road peak friction coefficient estimation --- tyre model --- normalization --- incentive sensitivity --- four-wheel steering --- semantic segmentation --- high-resolution atlas training --- super-resolution

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• Reference Manager
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This book details the advanced actuators for IEVs and the control algorithm design. In the actuator design, the configuration four-wheel independent drive/steering electric vehicles is reviewed. An in-wheel two-speed AMT with selectable one-way clutch is designed for IEV. Considering uncertainties, the optimization design for the planetary gear train of IEV is conducted. An electric power steering system is designed for IEV. In addition, advanced control algorithms are proposed in favour of active safety improvement. A supervision mechanism is applied to the segment drift control of autonomous driving. Double super-resolution network is used to design the intelligent driving algorithm. Torque distribution control technology and four-wheel steering technology are utilized for path tracking and adaptive cruise control. To advance the control accuracy, advanced estimation algorithms are studied in this book. The tyre-road peak friction coefficient under full slip rate range is identified based on the normalized tyre model. The pressure of the electro-hydraulic brake system is estimated based on signal fusion. Besides, a multi-semantic driver behaviour recognition model of autonomous vehicles is designed using confidence fusion mechanism. Moreover, a mono-vision based lateral localization system of low-cost autonomous vehicles is proposed with deep learning curb detection. To sum up, the discussed advanced actuators, control and estimation algorithms are beneficial to the active safety improvement of IEVs.

curb detection --- intelligent vehicles --- autonomous driving --- electro-hydraulic brake system --- master cylinder pressure estimation --- vehicle longitudinal dynamics --- brake linings’ coefficient of friction --- ACC --- safety evaluation --- human-like evaluation --- naturalistic driving study --- driving behavior characteristic --- electric vehicles --- independent drive --- direct yaw control --- torque distribution --- ultra-wideband --- relative localization --- enhanced precision --- clock self-correction --- homotopy --- Levenberg–Marquardt --- electric power steering --- steering actuator --- driverless racing vehicles --- control --- autonomous vehicles --- lane-changing --- decision-making --- path planning --- four-wheel independent drive --- four-wheel independent steering --- path tracking --- handling stability --- active safety control --- electric vehicle --- intelligent sanitation vehicle --- trash can-handling robot --- truss structure --- multi-objective parameter optimization --- topology optimization --- discrete optimization --- multiple load cases --- intelligent electric vehicles --- driver behavior recognition --- multi-semantic description --- confidence fusion --- drift parking --- open-loop control --- supervision mechanism --- two-speed AMT --- in-wheel-drive --- shifting process --- selectable one-way clutch --- five-degree-of-freedom vehicle model --- pressure–position model --- recursive least square --- advanced driver assistant systems --- adaptive cruise control --- direct yaw moment control --- extension control --- model predictive control --- optimization design --- vehicle structure design --- uncertainty --- deceleration device --- tyre-road peak friction coefficient estimation --- tyre model --- normalization --- incentive sensitivity --- four-wheel steering --- semantic segmentation --- high-resolution atlas training --- super-resolution

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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

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Transportation systems play a major role in the reduction of energy consumptions and environmental impact all over the world. The significant amount of energy of transport systems forces the adoption of new solutions to ensure their performance with energy-saving and reduced environmental impact. In this context, technologies and materials, devices and systems, design methods, and management techniques, related to the electrical power systems for transportation are continuously improving thanks to research activities. The main common challenge in all the applications concerns the adoption of innovative solutions that can improve existing transportation systems in terms of efficiency and sustainability.

Technology: general issues --- electric bus --- vehicle selection --- road operation test --- sustainable development --- more electric aircraft (MEA) --- multilevel converter --- high power density --- electric vehicles (EVs) --- independent-drive technology --- deep reinforcement learning (DRL) --- optimal torque distribution --- wireless power transfer --- non-linear --- fast terminal sliding mode control --- power converters --- efficiency --- energy storage systems --- electrical power systems --- hydraulic power systems --- hydraulic accumulator --- ultracapacitor --- lithium-ion battery --- dual-polarization model --- fractional-order model --- SOC estimation --- hybrid Kalman filter --- vehicle–grid integration --- distribution network voltage regulation --- alternating direction method of multipliers --- railway transport --- eco-driving --- energy efficiency --- optimization algorithm --- power systems --- ancillary services --- EV motor inverter --- electrical installation --- on-board charger --- vehicle-to-home --- home energy management system --- hybrid electric bulldozer --- tracked vehicle --- control strategy --- adaptive control --- power smoothing --- electric vehicles --- public charging station --- bilevel model --- range constraint --- hybrid electric vehicles --- equivalent consumption minimization strategy --- power-split hybrid --- heavy-duty vehicles --- diesel engine --- natural gas engine --- hybrid powertrain --- supercapacitor --- fuel consumption --- mathematical modeling --- electric vehicle --- city bus --- gearbox --- transmission --- optimization --- hybrid electric vehicle --- power-split --- fuel economy --- particle swarm optimization --- route guidance strategies --- stochastic charging demands --- time-varying road network --- shift-by-wire (SBW) --- switched reluctance motor (SRM) --- non-uniform air-gap --- rotor hole placement --- torque ripple --- rotor structure --- electrical transport --- electrical vehicle --- marine transport --- railway --- battery electric vehicles --- signalized intersections --- energy-optimized vehicle trajectories --- vehicle dynamics model --- road freight transport --- vehicle stock turnover model --- deep decarbonization --- road freight vehicle --- electric-drive vehicle --- lithium-ion --- dQ/dV --- dV/dQ --- frequency regulation --- V2G --- G2V --- fault diagnosis --- PEM fuel cell system --- PFCM-ABC-SVM --- ultra-fast charging --- multimodule DC-DC converters --- dual active bridge DC-DC converter --- full-bridge phase-shift DC-DC converter --- input-series output-series --- input-series output-parallel --- input-parallel output-parallel --- input-parallel output-series --- input-series input-parallel output-series output-parallel --- battery aging --- plug-in electric vehicles --- energy management --- global optimization --- state of health --- particle swarm algorithm --- genetic algorithm --- simulation --- plug-in hybrid --- microgrid --- photovoltaic --- robust optimization --- stochastic optimization --- battery management systems --- battery fuel gauge --- state of charge --- power fade --- capacity fade --- robust estimation --- predictive control --- environmental impacts --- life cycle assessment --- review --- anti-lock braking system --- fuzzy logic system --- controller --- vehicle --- traffic signal control --- cost model --- total cost of ownership --- TCO --- charging strategy --- public transport --- sustainability --- reused battery --- adaptive control theory --- battery management system (BMS) --- internal resistances --- open-circuit voltage --- policy incentive --- public charging infrastructure --- power grid --- grid-side effects --- photovoltaic potentials --- controlled charging --- electric power systems --- transportation --- PV --- inverter

Choose an application

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

Transportation systems play a major role in the reduction of energy consumptions and environmental impact all over the world. The significant amount of energy of transport systems forces the adoption of new solutions to ensure their performance with energy-saving and reduced environmental impact. In this context, technologies and materials, devices and systems, design methods, and management techniques, related to the electrical power systems for transportation are continuously improving thanks to research activities. The main common challenge in all the applications concerns the adoption of innovative solutions that can improve existing transportation systems in terms of efficiency and sustainability.

Technology: general issues --- electric bus --- vehicle selection --- road operation test --- sustainable development --- more electric aircraft (MEA) --- multilevel converter --- high power density --- electric vehicles (EVs) --- independent-drive technology --- deep reinforcement learning (DRL) --- optimal torque distribution --- wireless power transfer --- non-linear --- fast terminal sliding mode control --- power converters --- efficiency --- energy storage systems --- electrical power systems --- hydraulic power systems --- hydraulic accumulator --- ultracapacitor --- lithium-ion battery --- dual-polarization model --- fractional-order model --- SOC estimation --- hybrid Kalman filter --- vehicle–grid integration --- distribution network voltage regulation --- alternating direction method of multipliers --- railway transport --- eco-driving --- energy efficiency --- optimization algorithm --- power systems --- ancillary services --- EV motor inverter --- electrical installation --- on-board charger --- vehicle-to-home --- home energy management system --- hybrid electric bulldozer --- tracked vehicle --- control strategy --- adaptive control --- power smoothing --- electric vehicles --- public charging station --- bilevel model --- range constraint --- hybrid electric vehicles --- equivalent consumption minimization strategy --- power-split hybrid --- heavy-duty vehicles --- diesel engine --- natural gas engine --- hybrid powertrain --- supercapacitor --- fuel consumption --- mathematical modeling --- electric vehicle --- city bus --- gearbox --- transmission --- optimization --- hybrid electric vehicle --- power-split --- fuel economy --- particle swarm optimization --- route guidance strategies --- stochastic charging demands --- time-varying road network --- shift-by-wire (SBW) --- switched reluctance motor (SRM) --- non-uniform air-gap --- rotor hole placement --- torque ripple --- rotor structure --- electrical transport --- electrical vehicle --- marine transport --- railway --- battery electric vehicles --- signalized intersections --- energy-optimized vehicle trajectories --- vehicle dynamics model --- road freight transport --- vehicle stock turnover model --- deep decarbonization --- road freight vehicle --- electric-drive vehicle --- lithium-ion --- dQ/dV --- dV/dQ --- frequency regulation --- V2G --- G2V --- fault diagnosis --- PEM fuel cell system --- PFCM-ABC-SVM --- ultra-fast charging --- multimodule DC-DC converters --- dual active bridge DC-DC converter --- full-bridge phase-shift DC-DC converter --- input-series output-series --- input-series output-parallel --- input-parallel output-parallel --- input-parallel output-series --- input-series input-parallel output-series output-parallel --- battery aging --- plug-in electric vehicles --- energy management --- global optimization --- state of health --- particle swarm algorithm --- genetic algorithm --- simulation --- plug-in hybrid --- microgrid --- photovoltaic --- robust optimization --- stochastic optimization --- battery management systems --- battery fuel gauge --- state of charge --- power fade --- capacity fade --- robust estimation --- predictive control --- environmental impacts --- life cycle assessment --- review --- anti-lock braking system --- fuzzy logic system --- controller --- vehicle --- traffic signal control --- cost model --- total cost of ownership --- TCO --- charging strategy --- public transport --- sustainability --- reused battery --- adaptive control theory --- battery management system (BMS) --- internal resistances --- open-circuit voltage --- policy incentive --- public charging infrastructure --- power grid --- grid-side effects --- photovoltaic potentials --- controlled charging --- electric power systems --- transportation --- PV --- inverter --- electric bus --- vehicle selection --- road operation test --- sustainable development --- more electric aircraft (MEA) --- multilevel converter --- high power density --- electric vehicles (EVs) --- independent-drive technology --- deep reinforcement learning (DRL) --- optimal torque distribution --- wireless power transfer --- non-linear --- fast terminal sliding mode control --- power converters --- efficiency --- energy storage systems --- electrical power systems --- hydraulic power systems --- hydraulic accumulator --- ultracapacitor --- lithium-ion battery --- dual-polarization model --- fractional-order model --- SOC estimation --- hybrid Kalman filter --- vehicle–grid integration --- distribution network voltage regulation --- alternating direction method of multipliers --- railway transport --- eco-driving --- energy efficiency --- optimization algorithm --- power systems --- ancillary services --- EV motor inverter --- electrical installation --- on-board charger --- vehicle-to-home --- home energy management system --- hybrid electric bulldozer --- tracked vehicle --- control strategy --- adaptive control --- power smoothing --- electric vehicles --- public charging station --- bilevel model --- range constraint --- hybrid electric vehicles --- equivalent consumption minimization strategy --- power-split hybrid --- heavy-duty vehicles --- diesel engine --- natural gas engine --- hybrid powertrain --- supercapacitor --- fuel consumption --- mathematical modeling --- electric vehicle --- city bus --- gearbox --- transmission --- optimization --- hybrid electric vehicle --- power-split --- fuel economy --- particle swarm optimization --- route guidance strategies --- stochastic charging demands --- time-varying road network --- shift-by-wire (SBW) --- switched reluctance motor (SRM) --- non-uniform air-gap --- rotor hole placement --- torque ripple --- rotor structure --- electrical transport --- electrical vehicle --- marine transport --- railway --- battery electric vehicles --- signalized intersections --- energy-optimized vehicle trajectories --- vehicle dynamics model --- road freight transport --- vehicle stock turnover model --- deep decarbonization --- road freight vehicle --- electric-drive vehicle --- lithium-ion --- dQ/dV --- dV/dQ --- frequency regulation --- V2G --- G2V --- fault diagnosis --- PEM fuel cell system --- PFCM-ABC-SVM --- ultra-fast charging --- multimodule DC-DC converters --- dual active bridge DC-DC converter --- full-bridge phase-shift DC-DC converter --- input-series output-series --- input-series output-parallel --- input-parallel output-parallel --- input-parallel output-series --- input-series input-parallel output-series output-parallel --- battery aging --- plug-in electric vehicles --- energy management --- global optimization --- state of health --- particle swarm algorithm --- genetic algorithm --- simulation --- plug-in hybrid --- microgrid --- photovoltaic --- robust optimization --- stochastic optimization --- battery management systems --- battery fuel gauge --- state of charge --- power fade --- capacity fade --- robust estimation --- predictive control --- environmental impacts --- life cycle assessment --- review --- anti-lock braking system --- fuzzy logic system --- controller --- vehicle --- traffic signal control --- cost model --- total cost of ownership --- TCO --- charging strategy --- public transport --- sustainability --- reused battery --- adaptive control theory --- battery management system (BMS) --- internal resistances --- open-circuit voltage --- policy incentive --- public charging infrastructure --- power grid --- grid-side effects --- photovoltaic potentials --- controlled charging --- electric power systems --- transportation --- PV --- inverter