2023 Fiscal Year Final Research Report
Establishment of friction coefficient-slip ratio model that enables prediction of the friction coefficient of a vehicle's driving surface and its application to steering and braking control
| Project/Area Number |
21K03933
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 20010:Mechanics and mechatronics-related
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| Research Institution | Kanazawa University |
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Principal Investigator |
Tachiya Hiroshi 金沢大学, 高度モビリティ研究所, 教授 (10216989)
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| Co-Investigator(Kenkyū-buntansha) |
樋口 理宏 金沢大学, フロンティア工学系, 准教授 (50455185)
鈴木 陽介 金沢大学, フロンティア工学系, 准教授 (20582331)
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Keywords | タイヤ / インテリジェントタイヤ / 路面摩擦係数 / スリップ率 / ブレーキングスティフネス / ADAS / 制動制御 |
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| Outline of Final Research Achievements |
Measurements of tire behaviors under various conditions were performed with the previously fabricated equipment, and calibration conditions that improve the measurements accuracy with intelligent tires were clarified. Then, actual driving experiments have revealed the problem of the determination of the tire reference angle affecting the measurement accuracy, and a correction method for this problem has been established. Additionally, a highly accurate measurement method using intelligent tires without using the tire rotation angle. Furthermore, the relationship between the coefficient of road friction and the slip rate, which is an index of the speed difference between the tires and the road surface on various road surfaces and under various driving conditions, was clarified. Obtained relationships were expressed in experimental formulas. The results show that the relationship between the coefficient of road friction and the braking distance can be predicted by using this equation.
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| Free Research Field |
モビリティ
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| Academic Significance and Societal Importance of the Research Achievements |
車の安全性を高めるため，路面と車の唯一の接点であるタイヤを用いて路面摩擦係数を測定する試みは多数なされてきたが，高価な装置，複雑な測定が必要であった，これに対し，本研究の成果によれば，安価なセンサで実時間での測定が可能となる．また，同成果によって，車の走行状態と路面摩擦係数との関係を明らかにすることができ，さらに，同結果を応用することで制動制御性能の向上も図れる．以上の成果は，車の走行安全性を高め，交通事故などの削減に大きく寄与する．また，高齢化，人手不足などから，自動運転の普及が期待されているが，本成果は様々な状況での自動運転の実現に貢献するものであり，生活環境の維持，高品質化にも貢献する．
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