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003			ES-MaUEC
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007			cr nn 008mamaa
008			230204s2019 sz | s |||| 0|eng d
020			_a9783031014994
024	7		_a10.1007/978-3-031-01499-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTL152.8 _b2019 EB
100	1		_aQin, Yechen _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686540
245	1	0	_aReal-Time Road Profile Identification and Monitoring : _bTheory and Application _cby Yechen Qin, Hong Wang, Yanjun Huang, Xiaolin Tang
250			_a1st edition 2019
264		1	_aCham _bSpringer International Publishing _c2019
300			_a1 recurso en línea (XIV, 138 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Advances in Automotive Technology _x2576-8131
505	0		_aAcknowledgments -- Nomenclature -- Introduction -- System Modeling -- Data-Driven Road Classification Algorithms -- Model-Based Road Estimation Algorithms -- Road Adaptive Hybrid Suspension Control -- Suspension Predictive Control Based on Road Estimation -- Conclusions -- References -- Authors' Biographies.
520			_aEver stringent vehicle safety legislation and consumer expectations inspire the improvement of vehicle dynamic performance, which result in a rising number of control strategies for vehicle dynamics that rely on driving conditions. Road profiles, as the primary excitation source of vehicle systems, play a critical role in vehicle dynamics and also in public transportation. Knowledge of precise road conditions can thus be of great assistance for vehicle companies and government departments to develop proper dynamic control algorithms, and to fix roads in a timely manner and at the minimum cost, respectively. As a result, developing easy-to-use and accurate road estimation methods are of great importance in terms of reducing the cost related to vehicles and road maintenance as well as improving passenger comfort and handling capacity. A few books have already been published on road profile modeling and the influence of road unevenness on vehicle response. However, there is still room to discuss road assessment methods based on vehicle response and how road conditions can be used to improve vehicle dynamics. In this book, we use several generalized vehicle models to demonstrate the concepts, methods, and applications of vehicle response-based road estimation algorithms. In addition, necessary tools, algorithms, and methods are illustrated, and the benefits of the road estimation algorithms are evaluated. Furthermore, several case studies of controllable suspension systems to improve vehicle vertical dynamics are presented.
988			_aSynthesis Collection of Technology_2019
650		7	_2embne _9383952 _aCarreteras _xMantenimiento _xControl de calidad
650		7	_2embne _9673456 _aAutomóviles _xDinámica
700	1		_aWang, Hong _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9681408
700	1		_aHuang, Yanjun _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686539
700	1		_aTang, Xiaolin _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686538 _c(Mechanical engineer)
776	0	8	_iPrinted edition: _z9783031000041
776	0	8	_iPrinted edition: _z9783031003714
776	0	8	_iPrinted edition: _z9783031026270
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01499-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eIG _zSI