Abstract

This chapter covers the implementation of state and parameterestimation 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 indepth 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, roadtire friction coefficient, road gradient, and vehicle mass.