Actuators for Intelligent Electric Vehicles

• Autore: Hang Peng
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (330 p.)
• Soggetto topico: History of engineering and technology; Mechanical engineering and materials; Technology: general issues
• Soggetto non controllato: ACC; active safety control; adaptive cruise control; advanced driver assistant systems; autonomous driving; autonomous vehicles; brake linings' coefficient of friction; clock self-correction; confidence fusion; control; curb detection; deceleration device; decision-making; direct yaw control; direct yaw moment control; discrete optimization; drift parking; driver behavior recognition; driverless racing vehicles; driving behavior characteristic; electric power steering; electric vehicle; electric vehicles; electro-hydraulic brake system; enhanced precision; extension control; five-degree-of-freedom vehicle model; four-wheel independent drive; four-wheel independent steering; four-wheel steering; handling stability; high-resolution atlas training; homotopy; human-like evaluation; in-wheel-drive; incentive sensitivity; independent drive; intelligent electric vehicles; intelligent sanitation vehicle; intelligent vehicles; lane-changing; Levenberg-Marquardt; master cylinder pressure estimation; model predictive control; multi-objective parameter optimization; multi-semantic description; multiple load cases; naturalistic driving study; normalization; open-loop control; optimization design; path planning; path tracking; pressure-position model; recursive least square; relative localization; safety evaluation; selectable one-way clutch; semantic segmentation; shifting process; steering actuator; super-resolution; supervision mechanism; topology optimization; torque distribution; trash can-handling robot; truss structure; two-speed AMT; tyre model; tyre-road peak friction coefficient estimation; ultra-wideband; uncertainty; vehicle longitudinal dynamics; vehicle structure design
• Persona (resp. second.): XiaXin; ChenXinbo; HangPeng
• Sommario/riassunto: 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.
• Titolo autorizzato: Actuators for Intelligent Electric Vehicles
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910566471903321
• Lo trovi qui: Univ. Federico II