Method for estimating transverse state of vehicle under influence of non-Gaussian noise

• Main Authors: TANG HAORAN, WANG ZIHAN, GUO JINFEI, YI AIBIN, SUN YUE, TI YAN, LI BO, TIAN YONGJUN, DAI WEILIE, LIU YI, LI HAOWEN, HU MENGDAN, YUN HANG, YANG LIN, BECHOYI
• Format: Patent
• Language: Chinese; English
• Published: 01.12.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a vehicle transverse state estimation method under the influence of non-Gaussian noise, and the method comprises the steps: building a vehicle transverse state parameter estimation unit under a non-Gaussian noise state through simulink according to a seven-degree-of-freedom vehicle dynamics model and a magic formula tire model; the vehicle transverse state parameter estimation unit builds a maximum correlation entropy square root volume Kalman filtering algorithm based on a maximum entropy criterion and square root volume Kalman filtering to estimate the vehicle transverse state so as to obtain the optimal estimation of the vehicle state; simulink and Carsim vehicle high-simulation software are jointly simulated, simulation working conditions are set as a high-speed low-attachment double-shift line and a high-speed low-attachment fishhook, and simulation verification is performed on an estimation result of the maximum correlation entropy square root cubature Kalman filtering algorithm.