Actuators for Intelligent Electric Vehicles

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,...

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Year of Publication:2022
Language:English
Physical Description:1 electronic resource (330 p.)
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035 |a (oapen)https://directory.doabooks.org/handle/20.500.12854/81144 
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245 1 0 |a Actuators for Intelligent Electric Vehicles 
260 |a Basel  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2022 
300 |a 1 electronic resource (330 p.) 
336 |a text  |b txt  |2 rdacontent 
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520 |a 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. 
546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
650 7 |a History of engineering & technology  |2 bicssc 
650 7 |a Mechanical engineering & materials  |2 bicssc 
653 |a curb detection 
653 |a intelligent vehicles 
653 |a autonomous driving 
653 |a electro-hydraulic brake system 
653 |a master cylinder pressure estimation 
653 |a vehicle longitudinal dynamics 
653 |a brake linings’ coefficient of friction 
653 |a ACC 
653 |a safety evaluation 
653 |a human-like evaluation 
653 |a naturalistic driving study 
653 |a driving behavior characteristic 
653 |a electric vehicles 
653 |a independent drive 
653 |a direct yaw control 
653 |a torque distribution 
653 |a ultra-wideband 
653 |a relative localization 
653 |a enhanced precision 
653 |a clock self-correction 
653 |a homotopy 
653 |a Levenberg–Marquardt 
653 |a electric power steering 
653 |a steering actuator 
653 |a driverless racing vehicles 
653 |a control 
653 |a autonomous vehicles 
653 |a lane-changing 
653 |a decision-making 
653 |a path planning 
653 |a four-wheel independent drive 
653 |a four-wheel independent steering 
653 |a path tracking 
653 |a handling stability 
653 |a active safety control 
653 |a electric vehicle 
653 |a intelligent sanitation vehicle 
653 |a trash can-handling robot 
653 |a truss structure 
653 |a multi-objective parameter optimization 
653 |a topology optimization 
653 |a discrete optimization 
653 |a multiple load cases 
653 |a intelligent electric vehicles 
653 |a driver behavior recognition 
653 |a multi-semantic description 
653 |a confidence fusion 
653 |a drift parking 
653 |a open-loop control 
653 |a supervision mechanism 
653 |a two-speed AMT 
653 |a in-wheel-drive 
653 |a shifting process 
653 |a selectable one-way clutch 
653 |a five-degree-of-freedom vehicle model 
653 |a pressure–position model 
653 |a recursive least square 
653 |a advanced driver assistant systems 
653 |a adaptive cruise control 
653 |a direct yaw moment control 
653 |a extension control 
653 |a model predictive control 
653 |a optimization design 
653 |a vehicle structure design 
653 |a uncertainty 
653 |a deceleration device 
653 |a tyre-road peak friction coefficient estimation 
653 |a tyre model 
653 |a normalization 
653 |a incentive sensitivity 
653 |a four-wheel steering 
653 |a semantic segmentation 
653 |a high-resolution atlas training 
653 |a super-resolution 
776 |z 3-0365-3512-8 
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700 1 |a Xia, Xin  |4 edt 
700 1 |a Chen, Xinbo  |4 edt 
700 1 |a Hang, Peng  |4 oth 
700 1 |a Xia, Xin  |4 oth 
700 1 |a Chen, Xinbo  |4 oth 
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