000 | 03528nam a22005295i 4500 | ||
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001 | 978-3-031-10268-4 | ||
003 | DE-He213 | ||
005 | 20240730163657.0 | ||
007 | cr nn 008mamaa | ||
008 | 220928s2022 sz | s |||| 0|eng d | ||
020 |
_a9783031102684 _9978-3-031-10268-4 |
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024 | 7 |
_a10.1007/978-3-031-10268-4 _2doi |
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050 | 4 | _aTL1-483 | |
072 | 7 |
_aTRC _2bicssc |
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_aTEC009090 _2bisacsh |
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_aTRC _2thema |
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_a629.2 _223 |
100 | 1 |
_aXu, Nan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979901 |
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245 | 1 | 0 |
_aIntelligent Tire Systems _h[electronic resource] / _cby Nan Xu, Hassan Askari, Amir Khajepour. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
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300 |
_aXV, 166 p. 168 illus., 130 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Advances in Automotive Technology, _x2576-8131 |
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505 | 0 | _aChapter 1 - Introduction to Intelligent Tires -- Chapter 2 - Tire Modeling -- Chapter 3 - Sensing Systems in Intelligent Tires -- Chapter 4 - Tire Forces Estimation in Intelligent Tire -- Chapter 5 - Machine Learning for Slip Angle and Slip Ratio Prediction -- Chapter 6 - Tire-Road Friction Estimation. | |
520 | _aVehicle performance is largely controlled by the tire dynamic characteristics mediated by forces and moments generated at the tire-road contact patch. The tire may undergo deformations that increase the longitudinal and lateral forces within the contact patch. It is crucial to develop a model for the accurate prediction of tire characteristics, as this will enable optimization of the overall performance of vehicles. Research has been conducted to identify new strategies for tire measurement and modeling vehicle dynamics analysis. Autonomous vehicles (AVs), electric vehicles (EVs), shared sets, and connected vehicles have further revolutionized interdisciplinary research on vehicle and tire systems. The performance and reliability of vehicle active safety and advanced driver assistance systems (ADASs) are primarily influenced by the tire force capacity, which cannot be measured. High active safety and optimized ADAS are particularly crucial for automated driving systems (ADS) to guarantee passenger safety in intelligent transportation settings. The establishment of online measurement or estimation tools for tire states, especially for autonomous vehicles, is critical. | ||
650 | 0 |
_aAutomotive engineering. _979902 |
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650 | 0 |
_aMechanical engineering. _95856 |
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650 | 0 |
_aVehicles. _946786 |
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650 | 1 | 4 |
_aAutomotive Engineering. _979903 |
650 | 2 | 4 |
_aMechanical Engineering. _95856 |
650 | 2 | 4 |
_aVehicle Engineering. _946789 |
700 | 1 |
_aAskari, Hassan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979904 |
|
700 | 1 |
_aKhajepour, Amir. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979905 |
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710 | 2 |
_aSpringerLink (Online service) _979906 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031102677 |
776 | 0 | 8 |
_iPrinted edition: _z9783031102691 |
830 | 0 |
_aSynthesis Lectures on Advances in Automotive Technology, _x2576-8131 _979907 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-10268-4 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
_c84867 _d84867 |