| 초록 |
With the advancement of Software Defined Vehicles (SDVs) and autonomous driving technologies, the complexity and performance demands of brake controllers have significantly increased. Consequently, the importance of validating brake controllers has become more critical than ever before. Brake controllers primarily manage the braking force and vehicle stability by controlling the braking pressure of the four wheels through solenoid valves. In a real-time testing environment, linked with a vehicle model using Hardware-in-the-Loop (HIL), accurately measuring the control input to the solenoid valves is crucial. Traditionally, the control inputs of electronic brake controllers are measured using Hall sensors to detect the magnetic field strength generated by the coils, which is then converted to a voltage. However, this method has the drawback of producing significant measurement errors. To address this issue, this paper proposes a method using the XCP (Universal Measurement and Calibration Protocol) to monitor the internal memory in real-time, allowing immediate verification of the target control input and injecting it into the model. Through XCP, the control input of the valves was measured in real-time and applied to the hydraulic circuit model. Experimental results demonstrated the effectiveness of this approach. |
