(A) study on improvement of tire force estimation by vehicle mass estimation in practical approach

Abstract

For the last decade, customers are looking forward to more safe and high-performance vehicle as the automobile industry have been developed. To meet the demands of customers, electronic vehicle control systems have been improved rapidly. Electronic control systems are designed based on vehicle states and inertial parameters. However, it’s difficult to know all of the vehicle states so that engineers estimate vehicle states to use vehicle states in designing control system. Therefore, precise estimation of vehicle states has a close relation to the performance of vehicle control system. In the case of vehicle inertial parameters, it also hard to know their exact values so that their nominal values are usually used. The performance of vehicle control systems could deteriorate when nominal values of inertial parameters are set too much higher of lower values from their actual values. This thesis suggests practical algorithms for tire force estimation which is one of the most important in chassis control system. The proposed algorithms enhance the estimation performance of tire force by estimating vehicle mass which can vary in a wide range in real time without any additional sensors