Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuvers
The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whol...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mendoza-Petit, Ma Fernanda [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Species loss from land use of oil palm plantations in Thailand - Jaroenkietkajorn, Ukrit ELSEVIER, 2021, mssp, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:168 ; year:2022 ; day:1 ; month:04 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ymssp.2021.108586 |
|---|
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ELV056518811 |
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| 245 | 1 | 0 | |a Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuvers |
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| 520 | |a The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. | ||
| 520 | |a The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. | ||
| 650 | 7 | |a Adherence limit |2 Elsevier | |
| 650 | 7 | |a Loss of grip |2 Elsevier | |
| 650 | 7 | |a Intelligent tire |2 Elsevier | |
| 650 | 7 | |a Strain gauges |2 Elsevier | |
| 650 | 7 | |a Grip margin |2 Elsevier | |
| 650 | 7 | |a Tire–road friction coefficient |2 Elsevier | |
| 700 | 1 | |a Garcia-Pozuelo, Daniel |4 oth | |
| 700 | 1 | |a Diaz, Vicente |4 oth | |
| 700 | 1 | |a Garrosa, María |4 oth | |
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10.1016/j.ymssp.2021.108586 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001652.pica (DE-627)ELV056518811 (ELSEVIER)S0888-3270(21)00918-3 DE-627 ger DE-627 rakwb eng 570 630 VZ BIODIV DE-30 fid Mendoza-Petit, Ma Fernanda verfasserin aut Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuvers 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. Adherence limit Elsevier Loss of grip Elsevier Intelligent tire Elsevier Strain gauges Elsevier Grip margin Elsevier Tire–road friction coefficient Elsevier Garcia-Pozuelo, Daniel oth Diaz, Vicente oth Garrosa, María oth Enthalten in Elsevier Jaroenkietkajorn, Ukrit ELSEVIER Species loss from land use of oil palm plantations in Thailand 2021 mssp Amsterdam [u.a.] (DE-627)ELV007151810 volume:168 year:2022 day:1 month:04 pages:0 https://doi.org/10.1016/j.ymssp.2021.108586 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 168 2022 1 0401 0 |
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10.1016/j.ymssp.2021.108586 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001652.pica (DE-627)ELV056518811 (ELSEVIER)S0888-3270(21)00918-3 DE-627 ger DE-627 rakwb eng 570 630 VZ BIODIV DE-30 fid Mendoza-Petit, Ma Fernanda verfasserin aut Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuvers 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. Adherence limit Elsevier Loss of grip Elsevier Intelligent tire Elsevier Strain gauges Elsevier Grip margin Elsevier Tire–road friction coefficient Elsevier Garcia-Pozuelo, Daniel oth Diaz, Vicente oth Garrosa, María oth Enthalten in Elsevier Jaroenkietkajorn, Ukrit ELSEVIER Species loss from land use of oil palm plantations in Thailand 2021 mssp Amsterdam [u.a.] (DE-627)ELV007151810 volume:168 year:2022 day:1 month:04 pages:0 https://doi.org/10.1016/j.ymssp.2021.108586 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 168 2022 1 0401 0 |
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10.1016/j.ymssp.2021.108586 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001652.pica (DE-627)ELV056518811 (ELSEVIER)S0888-3270(21)00918-3 DE-627 ger DE-627 rakwb eng 570 630 VZ BIODIV DE-30 fid Mendoza-Petit, Ma Fernanda verfasserin aut Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuvers 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. Adherence limit Elsevier Loss of grip Elsevier Intelligent tire Elsevier Strain gauges Elsevier Grip margin Elsevier Tire–road friction coefficient Elsevier Garcia-Pozuelo, Daniel oth Diaz, Vicente oth Garrosa, María oth Enthalten in Elsevier Jaroenkietkajorn, Ukrit ELSEVIER Species loss from land use of oil palm plantations in Thailand 2021 mssp Amsterdam [u.a.] (DE-627)ELV007151810 volume:168 year:2022 day:1 month:04 pages:0 https://doi.org/10.1016/j.ymssp.2021.108586 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 168 2022 1 0401 0 |
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10.1016/j.ymssp.2021.108586 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001652.pica (DE-627)ELV056518811 (ELSEVIER)S0888-3270(21)00918-3 DE-627 ger DE-627 rakwb eng 570 630 VZ BIODIV DE-30 fid Mendoza-Petit, Ma Fernanda verfasserin aut Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuvers 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. Adherence limit Elsevier Loss of grip Elsevier Intelligent tire Elsevier Strain gauges Elsevier Grip margin Elsevier Tire–road friction coefficient Elsevier Garcia-Pozuelo, Daniel oth Diaz, Vicente oth Garrosa, María oth Enthalten in Elsevier Jaroenkietkajorn, Ukrit ELSEVIER Species loss from land use of oil palm plantations in Thailand 2021 mssp Amsterdam [u.a.] (DE-627)ELV007151810 volume:168 year:2022 day:1 month:04 pages:0 https://doi.org/10.1016/j.ymssp.2021.108586 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 168 2022 1 0401 0 |
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10.1016/j.ymssp.2021.108586 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001652.pica (DE-627)ELV056518811 (ELSEVIER)S0888-3270(21)00918-3 DE-627 ger DE-627 rakwb eng 570 630 VZ BIODIV DE-30 fid Mendoza-Petit, Ma Fernanda verfasserin aut Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuvers 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. Adherence limit Elsevier Loss of grip Elsevier Intelligent tire Elsevier Strain gauges Elsevier Grip margin Elsevier Tire–road friction coefficient Elsevier Garcia-Pozuelo, Daniel oth Diaz, Vicente oth Garrosa, María oth Enthalten in Elsevier Jaroenkietkajorn, Ukrit ELSEVIER Species loss from land use of oil palm plantations in Thailand 2021 mssp Amsterdam [u.a.] (DE-627)ELV007151810 volume:168 year:2022 day:1 month:04 pages:0 https://doi.org/10.1016/j.ymssp.2021.108586 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 168 2022 1 0401 0 |
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Enthalten in Species loss from land use of oil palm plantations in Thailand Amsterdam [u.a.] volume:168 year:2022 day:1 month:04 pages:0 |
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characterization of the loss of grip condition in the strain-based intelligent tire at severe maneuvers |
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Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuvers |
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The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. |
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The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. |
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The early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle’s loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip. |
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