Research on Soft-sensing Technique of Vehicle State Parameters

摘要

For meeting the needs of vehicle control system to some real-time parameters, a kind of soft-sensing technique was studied by using the extended Kalman filter theory in this paper. The specific flow for the application of extended Kalman filtering theory about the estimation of vehicle state parameters was presented detailedly, a state observer was established based on the vehicle dynamic model of a 2 degree of freedom. Simulation results indicate that these types of soft-sensing technique can measure some key state information of vehicle easily and accurately, such as longitudinal and lateral acceleration, and get real-time state estimates required by vehicle control system. Hence, it has very important meaning in reducing the cost of control system of vehicle.