Study on Control Strategy of Electric Power Steering for Commercial Vehicle Based on Multi-Map

Autor: Yaohua Li, Zhengyan Yang, Dengwang Zhai, Jie He, Jikang Fan
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: World Electric Vehicle Journal, Vol 14, Iss 2, p 33 (2023)
Druh dokumentu: article
ISSN: 14020033
2032-6653
DOI: 10.3390/wevj14020033
Popis: In order to solve the problem where the traditional electric power steering system (EPS) provides too much assist torque under low load and low adhesion coefficient, which damages the driver’s road feeling and affects driving safety, this paper designs a multi-map EPS control strategy. First, based on the change of steering resistance torque under different front axle loads and adhesion coefficients, EPS power characteristics considering the front axle load and adhesion coefficient were designed. In addition, the BP (Back Propagation, BP) neural network is used to determine steering resistance torque under different front axle loads and adhesion coefficients. Furthermore, the EPS control strategy based on multi-map is proposed. The proposed control strategy is evaluated through the co-simulation of Trucksim and Simulink. Simulation results show that the proposed EPS control strategy gives the vehicle good steering portability, with the handling torque meeting the ideal handling torque for a commercial vehicle. Under light load and low adhesion coefficient conditions, the lateral acceleration and yaw rate with traditional EPS are 0.1674 g and 5.641 deg/s, and with multi-map EPS are 0.1399 g and 4.715 deg/s. Therefore, the vehicle’s handliitung stability is improved. The steering wheel torque gradient is also increased, and the driver’s road feeling is improved.
Databáze: Directory of Open Access Journals