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Actuators for Intelligent Electric Vehicles
| Actuators for Intelligent Electric Vehicles |
| Autore | Hang Peng |
| Pubbl/distr/stampa | 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 |
| 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Energy Storage and Management for Electric Vehicles
| Energy Storage and Management for Electric Vehicles |
| Autore | Marco James |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (238 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
?-constraint method
adaptive forgetting factor batteries battery charging battery cycle-life extension battery degradation battery energy storage system cell sorting charging scheme cycle-life dynamic flow rate optimization dynamic programming approach ECE15 efficiency electric vehicle energy storage ageing and degradation energy storage system equivalent circuit model fuel cell genetic algorithm HPPC hybrid power system hybrid vehicle Identification improved artificial bee colony Li-Sulfur batteries life cycle assessment linear programming Lipschitz nonlinear system lithium ion battery lithium titanate oxide batteries lithium-ion battery Luenberger observer Matlab multi-parameters sorting nonlinear battery model operating expenses optimal control parameter estimation parameter identification principal component analysis recursive least square regenerative energy residential battery storage rule-based optimal strategy second-life energy storage applications self-discharge self-organizing maps clustering Simscape Simulink state of charge estimation state-of-health (SOH) supercapacitor models supercapacitors thermal behaviour thermal modelling timetable optimization vehicle-to-building zinc-nickel single-flow battery |
| ISBN | 3-03921-863-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372784803321 |
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Marco James
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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