05734nam 2201321z- 450 991056647190332120220506(CKB)5680000000037661(oapen)https://directory.doabooks.org/handle/20.500.12854/81144(oapen)doab81144(EXLCZ)99568000000003766120202205d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierActuators for Intelligent Electric VehiclesBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (330 p.)3-0365-3512-8 3-0365-3511-X 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.History of engineering and technologybicsscMechanical engineering and materialsbicsscTechnology: general issuesbicsscACCactive safety controladaptive cruise controladvanced driver assistant systemsautonomous drivingautonomous vehiclesbrake linings' coefficient of frictionclock self-correctionconfidence fusioncontrolcurb detectiondeceleration devicedecision-makingdirect yaw controldirect yaw moment controldiscrete optimizationdrift parkingdriver behavior recognitiondriverless racing vehiclesdriving behavior characteristicelectric power steeringelectric vehicleelectric vehicleselectro-hydraulic brake systemenhanced precisionextension controlfive-degree-of-freedom vehicle modelfour-wheel independent drivefour-wheel independent steeringfour-wheel steeringhandling stabilityhigh-resolution atlas traininghomotopyhuman-like evaluationin-wheel-driveincentive sensitivityindependent driveintelligent electric vehiclesintelligent sanitation vehicleintelligent vehicleslane-changingLevenberg-Marquardtmaster cylinder pressure estimationmodel predictive controlmulti-objective parameter optimizationmulti-semantic descriptionmultiple load casesnaturalistic driving studynormalizationopen-loop controloptimization designpath planningpath trackingpressure-position modelrecursive least squarerelative localizationsafety evaluationselectable one-way clutchsemantic segmentationshifting processsteering actuatorsuper-resolutionsupervision mechanismtopology optimizationtorque distributiontrash can-handling robottruss structuretwo-speed AMTtyre modeltyre-road peak friction coefficient estimationultra-widebanduncertaintyvehicle longitudinal dynamicsvehicle structure designHistory of engineering and technologyMechanical engineering and materialsTechnology: general issuesHang Pengedt1309625Xia XinedtChen XinboedtHang PengothXia XinothChen XinboothBOOK9910566471903321Actuators for Intelligent Electric Vehicles3029467UNINA