05715nam 2201309z- 450 991056647190332120231214132952.0(CKB)5680000000037661(oapen)https://directory.doabooks.org/handle/20.500.12854/81144(EXLCZ)99568000000003766120202205d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierActuators for Intelligent Electric VehiclesBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic 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.Technology: general issuesbicsscHistory of engineering & technologybicsscMechanical engineering & materialsbicssccurb detectionintelligent vehiclesautonomous drivingelectro-hydraulic brake systemmaster cylinder pressure estimationvehicle longitudinal dynamicsbrake linings’ coefficient of frictionACCsafety evaluationhuman-like evaluationnaturalistic driving studydriving behavior characteristicelectric vehiclesindependent drivedirect yaw controltorque distributionultra-widebandrelative localizationenhanced precisionclock self-correctionhomotopyLevenberg–Marquardtelectric power steeringsteering actuatordriverless racing vehiclescontrolautonomous vehicleslane-changingdecision-makingpath planningfour-wheel independent drivefour-wheel independent steeringpath trackinghandling stabilityactive safety controlelectric vehicleintelligent sanitation vehicletrash can-handling robottruss structuremulti-objective parameter optimizationtopology optimizationdiscrete optimizationmultiple load casesintelligent electric vehiclesdriver behavior recognitionmulti-semantic descriptionconfidence fusiondrift parkingopen-loop controlsupervision mechanismtwo-speed AMTin-wheel-driveshifting processselectable one-way clutchfive-degree-of-freedom vehicle modelpressure–position modelrecursive least squareadvanced driver assistant systemsadaptive cruise controldirect yaw moment controlextension controlmodel predictive controloptimization designvehicle structure designuncertaintydeceleration devicetyre-road peak friction coefficient estimationtyre modelnormalizationincentive sensitivityfour-wheel steeringsemantic segmentationhigh-resolution atlas trainingsuper-resolutionTechnology: general issuesHistory of engineering & technologyMechanical engineering & materialsHang Pengedt1309625Xia XinedtChen XinboedtHang PengothXia XinothChen XinboothBOOK9910566471903321Actuators for Intelligent Electric Vehicles3029467UNINA