TY - BOOK ID - 133652939 TI - Actuators for Intelligent Electric Vehicles AU - Hang, Peng AU - Xia, Xin AU - Chen, Xinbo PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Technology: general issues KW - History of engineering & technology KW - Mechanical engineering & materials KW - curb detection KW - intelligent vehicles KW - autonomous driving KW - electro-hydraulic brake system KW - master cylinder pressure estimation KW - vehicle longitudinal dynamics KW - brake linings’ coefficient of friction KW - ACC KW - safety evaluation KW - human-like evaluation KW - naturalistic driving study KW - driving behavior characteristic KW - electric vehicles KW - independent drive KW - direct yaw control KW - torque distribution KW - ultra-wideband KW - relative localization KW - enhanced precision KW - clock self-correction KW - homotopy KW - Levenberg–Marquardt KW - electric power steering KW - steering actuator KW - driverless racing vehicles KW - control KW - autonomous vehicles KW - lane-changing KW - decision-making KW - path planning KW - four-wheel independent drive KW - four-wheel independent steering KW - path tracking KW - handling stability KW - active safety control KW - electric vehicle KW - intelligent sanitation vehicle KW - trash can-handling robot KW - truss structure KW - multi-objective parameter optimization KW - topology optimization KW - discrete optimization KW - multiple load cases KW - intelligent electric vehicles KW - driver behavior recognition KW - multi-semantic description KW - confidence fusion KW - drift parking KW - open-loop control KW - supervision mechanism KW - two-speed AMT KW - in-wheel-drive KW - shifting process KW - selectable one-way clutch KW - five-degree-of-freedom vehicle model KW - pressure–position model KW - recursive least square KW - advanced driver assistant systems KW - adaptive cruise control KW - direct yaw moment control KW - extension control KW - model predictive control KW - optimization design KW - vehicle structure design KW - uncertainty KW - deceleration device KW - tyre-road peak friction coefficient estimation KW - tyre model KW - normalization KW - incentive sensitivity KW - four-wheel steering KW - semantic segmentation KW - high-resolution atlas training KW - super-resolution UR - https://www.unicat.be/uniCat?func=search&query=sysid:133652939 AB - 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. ER -