Research on WLTC Remote Sensing Data Acquisition System Based on Extended Kalman Filter Algorithm

At present, the test cycle specified in the national six emission regulations adopts wltc (global light vehicle test cycle) working condition. The traditional test condition is simulated in the form of bench, and the measured data deviates greatly from the actual working condition. Therefore, this paper proposes a remote sensing data acquisition system based on Kalman filter algorithm. The system will guide the driver to drive correctly, complete the longer test cycle and higher average speed of wltc, which is obviously closer to the actual driving situation of the vehicle, and the test of the comprehensive performance of the vehicle is more strict in a wider speed range. Compared with the bench test, it has a strong evaluation for the comprehensive performance of the vehicle. This method has been applied in the vehicle model. Compared with the original simulation method, this method can take into account the accuracy, timeliness and applicability.