Road Adhesion Coefficient Estimation

2011 ◽  
Vol 52-54 ◽  
pp. 1503-1508
Author(s):  
Yan An Sun ◽  
Lu Xiong ◽  
Zhuo Ping Yu ◽  
Yuan Feng ◽  
Long Jie Ren
Keyword(s):  
Kalman Filter ◽  
Electric Vehicle ◽  
Slip Rate ◽  
Research Subject ◽  
Adhesion Coefficient ◽  
The Real ◽  
Coefficient Estimation ◽  
Improved Algorithm

Taking four in-wheel-motor electric vehicle as research subject, the paper focuses on the estimation of road adhesion coefficient based on curve. Through adding a forget factor, an improved algorithm on the basis of Forget Kalman Filter is proposed to estimate the slope of the curve at low slip rate. This new algorithm is proved effective through the real car test.

Research on Road Adhesion Coefficient Estimation for Electric Vehicle under Tire Cornering Condition

2013 ◽  
Vol 427-429 ◽  
pp. 275-279
Author(s):  
Yi Chen ◽  
Xue Feng Li ◽  
Tong Qu
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Estimation Method ◽  
Stability Control ◽  
Adhesion Coefficient ◽  
Estimation Algorithms ◽  
Coefficient Estimation ◽  
Stability Control System ◽  
Longitudinal Slip ◽  
Dynamics Stability

The research came up with a road adhesion coefficient estimation method for electric vehicle under tire cornering condition, compared with the previous researches that mainly focused on tire longitudinal behaviors. The designed identification method first distinguishes the states of small longitudinal slip and large longitudinal slip in the condition of tire cornering. Then estimation algorithms for the two conditions above operate respectively. By designing the simulation and selecting typical road conditions, the applicability and validity of the algorithm have been verified. The estimation method can be used to serve the electric vehicles dynamics stability control system.

scholarly journals Study on Adaptive Slid Mode Controller for Improving Handling Stability of Motorized Electric Vehicles

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
LiQiang Jin ◽  
Yue Liu
Keyword(s):  
Real Time ◽  
Electric Vehicle ◽  
Working Conditions ◽  
Electric Vehicles ◽  
Control Method ◽  
Slip Angle ◽  
Adhesion Coefficient ◽  
Side Slip Angle ◽  
The Real ◽  
The One

An adaptive slid mode controller was established for improving the handling stability of motorized electric vehicle (MEV). First and foremost, the structure and advantages of electric vehicle driven by in-wheel motors will be provided. Then, an ideal cornering model of vehicles will be brought and analyzed, after which a method to estimate side-slip angle was also proposed and three typical sensors were used in the theory. Besides, an idea for the recognition of road adhesion coefficient was derived based on MEV platform, which will be helpful for better control performances. Finally, the scheme of control method was given and some typical tests for observing handling properties were implemented based on Simulink and Carsim software. With the outcomes from the experiments, which vividly showed the merits of the controller, one can come to a conclusion that MEV that equips with the adaptive slid mode controller always enjoys better handling performances than the one without control. Furthermore, the controller researched is friendly to the real-time working conditions, which will hold practical values in the future.

Sign in / Sign up

Export Citation Format

Share Document