دورية أكاديمية

Tire-road friction estimation and traction control strategy for motorized electric vehicle.

التفاصيل البيبلوغرافية
العنوان: Tire-road friction estimation and traction control strategy for motorized electric vehicle.
المؤلفون: Li-Qiang Jin, Mingze Ling, Weiqiang Yue
المصدر: PLoS ONE, Vol 12, Iss 6, p e0179526 (2017)
بيانات النشر: Public Library of Science (PLoS), 2017.
سنة النشر: 2017
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: In this paper, an optimal longitudinal slip ratio system for real-time identification of electric vehicle (EV) with motored wheels is proposed based on the adhesion between tire and road surface. First and foremost, the optimal longitudinal slip rate torque control can be identified in real time by calculating the derivative and slip rate of the adhesion coefficient. Secondly, the vehicle speed estimation method is also brought. Thirdly, an ideal vehicle simulation model is proposed to verify the algorithm with simulation, and we find that the slip ratio corresponds to the detection of the adhesion limit in real time. Finally, the proposed strategy is applied to traction control system (TCS). The results showed that the method can effectively identify the state of wheel and calculate the optimal slip ratio without wheel speed sensor; in the meantime, it can improve the accelerated stability of electric vehicle with traction control system (TCS).
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
Relation: http://europepmc.org/articles/PMC5491023?pdf=render; https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0179526
URL الوصول: https://doaj.org/article/d39d785d987f47fcafede4ebda7b4f6c
رقم الأكسشن: edsdoj.39d785d987f47fcafede4ebda7b4f6c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203
DOI:10.1371/journal.pone.0179526