Based on the vehicle plane motion model, a state estimator of vehicle longitudinal velocity and lateral velocity is designed by using particle filter algorithm in this paper. The estimator does not depend on any tire force information, so it avoids the additional estimation error or calculation amount caused by the acquisition of tire force. In view of the change of process noise standard deviation caused by different external factors such as traffic road conditions, this paper uses adaptive standard deviation instead of fixed standard deviation to correct the state transition equation. MATLAB/Simulink and CarSim co-simulation platform were used to verify the proposed particle filter estimator. And the simulation results show that the proposed estimator can provide accurate longitudinal and lateral velocity estimation results for vehicle stability control under various driving conditions.
This paper proposes a rule-based energy management strategy of a series-parallel driving system adoped in plug-in hybrid electric vehicles. For the complexity of hybrid system configuration, the coordination controller is optimized based on the overall fuel economy of multiple working modes by means of genetic algorithms. The simulation result shows that the engine operating points are mostly in the high-efficiency area, mode division and power allocation meet the design requirements. The rule-based control strategy designed in this paper is reasonable and effective.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.