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Identification and Modeling of Automotive Electrical Parking Brake System for SiL Simulation Identification and Modeling of Automotive Electrical Parking Brake System for SiL Simulation

Identification and Modeling of Automotive Electrical Parking Brake System for SiL Simulation

  • 期刊名字:西南交通大學(xué)學(xué)報(英文版)
  • 文件大?。?/li>
  • 論文作者:PENG Yi-qiang,LI Wei,ZHANG Jin
  • 作者單位:School of Transportation and Automotive Engineering
  • 更新時間:2023-02-08
  • 下載次數(shù):
論文簡介

To evaluate the software behavior of the electronic control unit (ECU) of automotive electrical parking brake (EPB), a software-in-the-loop (SiL) simulation system is built. The EPB is simulated by ARX (auto-regressive with auxiliary input) model, ARMAX (auto-regressive moving average with auxiliary input) model, and NNARMAX (neural network ARMAX) model. By system identification, the ARX(3,4,2), ARX(4,4,2), ARMAX(3,3,1,1), and ARMAX(4,4,3,2) models are derived. Validation results show that the four-order ARMAX model and the NNARMAX model better simulate the actuator of the EPB.

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