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Actuator-to-Vehicle Joint Estimation of Clamping Force for Sensorless Control of the Electro-Mechanical Brake System School of Automotive Studies, Tongji University

Format:
Book
Conference/Event
Author/Creator:
Xing, Yipu, author.
Contributor:
Cheng, Yulin
Han, Wei
Li, Congcong
Xiong, Lu
Zhou, Quan
Zhuo, Guirong
Conference Name:
Brake Colloquium & Exhibition - 43rd Annual (2025-09-21 : Grand Rapids, Michigan, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2025
Summary:
The electro-mechanical brake (EMB) is a promising brake actuating system for electrified vehicle. To enhance the system function safety while saving space from redundancy sensors, this paper studied sensorless climbing force control for the EMB where a new climbing force estimator is proposed by fusing the information from vehicle dynamics and EMB states. The work was done with three contributions: 1) The priori clamping force characteristics were implemented to build the estimator with two parallel models, one of which was derived from the actuator rigid-body dynamics while the other was derived from vehicle longitudinal dynamics model; 2) a proportional-integral (PI) observer utilizing wheel speed residual signals was developed to correct the initial estimates iteratively; 3) a fuzzy control controller was proposed to optimize the key parameters of the PI observer. Comparative study was conducted on a co-simulation platform and the results showed that the actuator-to-vehicle joint estimation method can reduce more than 28% root mean square error (RMSE) compared with the conventional actuator model-based estimation method by utilizing PI observer. After the optimization of key parameters, the optimal ratio can reach 32%. Robustness analysis demonstrated that the climbing force estimations accuracy across the studied distinct braking scenarios were consistency
Notes:
Vendor supplied data
Publisher Number:
2025-01-0338
Access Restriction:
Restricted for use by site license

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