State and Parameter Estimation of EVs

Authors

Brett McAulay, University of WollongongFollow
Boyuan Li, University of WollongongFollow
Philip A. Commins, University of WollongongFollow
Haiping Du, University of WollongongFollow

RIS ID

122623

Publication Details

B. McAulay, B. Li, P. Commins & H. Du, "State and Parameter Estimation of EVs," in Modeling, Dynamics, and Control of Electrified Vehicles, D. Cao, H. Du & H. Zhang, Eds. Duxford, United Kingdom: Elsevier, 2018, pp.369-407.

Abstract

This chapter covers the implementation of state- and parameter-estimation techniques for electric vehicles (EVs) in both a mathematical and practical sense. First the reasoning behind such action will be discussed including the uses for EVs and the unique factors that give rise to a demand for such state and parameter estimation. Then highly desirable states and parameters are outlined, followed by an in-depth explanation of the assumption, equations, models, and algorithms required in order to estimate these states and parameters so that they can be utilized by the corresponding control systems implemented in EVs. The key states and parameters that will be discussed are vehicle velocity, vehicle slip angle, road-tire friction coefficient, road gradient, and vehicle mass.