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

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...

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Main Authors: Li-Qiang Jin, Mingze Ling, Weiqiang Yue
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0179526&type=printable
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author Li-Qiang Jin
Mingze Ling
Weiqiang Yue
author_facet Li-Qiang Jin
Mingze Ling
Weiqiang Yue
author_sort Li-Qiang Jin
collection DOAJ
description 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).
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spelling doaj.art-d39d785d987f47fcafede4ebda7b4f6c2025-02-27T05:38:32ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01126e017952610.1371/journal.pone.0179526Tire-road friction estimation and traction control strategy for motorized electric vehicle.Li-Qiang JinMingze LingWeiqiang YueIn 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).https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0179526&type=printable
spellingShingle Li-Qiang Jin
Mingze Ling
Weiqiang Yue
Tire-road friction estimation and traction control strategy for motorized electric vehicle.
PLoS ONE
title Tire-road friction estimation and traction control strategy for motorized electric vehicle.
title_full Tire-road friction estimation and traction control strategy for motorized electric vehicle.
title_fullStr Tire-road friction estimation and traction control strategy for motorized electric vehicle.
title_full_unstemmed Tire-road friction estimation and traction control strategy for motorized electric vehicle.
title_short Tire-road friction estimation and traction control strategy for motorized electric vehicle.
title_sort tire road friction estimation and traction control strategy for motorized electric vehicle
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0179526&type=printable
work_keys_str_mv AT liqiangjin tireroadfrictionestimationandtractioncontrolstrategyformotorizedelectricvehicle
AT mingzeling tireroadfrictionestimationandtractioncontrolstrategyformotorizedelectricvehicle
AT weiqiangyue tireroadfrictionestimationandtractioncontrolstrategyformotorizedelectricvehicle