Actuators for Intelligent Electric Vehicles |
Autore | Hang Peng |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (330 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Mechanical engineering & materials |
Soggetto non controllato |
curb detection
intelligent vehicles autonomous driving electro-hydraulic brake system master cylinder pressure estimation vehicle longitudinal dynamics brake linings’ coefficient of friction ACC safety evaluation human-like evaluation naturalistic driving study driving behavior characteristic electric vehicles independent drive direct yaw control torque distribution ultra-wideband relative localization enhanced precision clock self-correction homotopy Levenberg–Marquardt electric power steering steering actuator driverless racing vehicles control autonomous vehicles lane-changing decision-making path planning four-wheel independent drive four-wheel independent steering path tracking handling stability active safety control electric vehicle intelligent sanitation vehicle trash can-handling robot truss structure multi-objective parameter optimization topology optimization discrete optimization multiple load cases intelligent electric vehicles driver behavior recognition multi-semantic description confidence fusion drift parking open-loop control supervision mechanism two-speed AMT in-wheel-drive shifting process selectable one-way clutch five-degree-of-freedom vehicle model pressure–position model recursive least square advanced driver assistant systems adaptive cruise control direct yaw moment control extension control model predictive control optimization design vehicle structure design uncertainty deceleration device tyre-road peak friction coefficient estimation tyre model normalization incentive sensitivity four-wheel steering semantic segmentation high-resolution atlas training super-resolution |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566471903321 |
Hang Peng
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Energy Storage and Management for Electric Vehicles |
Autore | Marco James |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (238 p.) |
Soggetto non controllato |
battery charging
lithium ion battery adaptive forgetting factor operating expenses cell sorting linear programming Simulink equivalent circuit model genetic algorithm multi-parameters sorting hybrid power system electric vehicle energy storage ageing and degradation parameter estimation Simscape supercapacitors state-of-health (SOH) battery energy storage system ECE15 efficiency residential battery storage timetable optimization self-discharge dynamic programming approach state of charge estimation regenerative energy fuel cell energy storage system nonlinear battery model charging scheme Li-Sulfur batteries Matlab dynamic flow rate optimization rule-based optimal strategy second-life energy storage applications Identification hybrid vehicle recursive least square thermal modelling zinc–nickel single-flow battery Luenberger observer HPPC vehicle-to-building ?-constraint method lithium-ion battery life cycle assessment parameter identification Lipschitz nonlinear system lithium titanate oxide batteries batteries battery degradation improved artificial bee colony optimal control thermal behaviour supercapacitor models battery cycle-life extension cycle-life self-organizing maps clustering principal component analysis |
ISBN | 3-03921-863-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910372784803321 |
Marco James
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MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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