Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
