State Estimation for a New Battery and Motor Circuit Model of an Electric Vehicle Using Event-Triggered Functional Interval Observers

Abstract

A design method based on event-triggered functional interval observers for estimating state vectors of a battery and motor circuit model (BMCM) is proposed in this paper. The main outputs of this paper are that, firstly, a novel battery and motor circuit model for electric vehicles is established. Then, the design of event-triggered functional interval observers (ETFIOs) is considered to estimate any linear functions of the state vector of this model. The distinctiveness of the ETFIOs compared with existing functional interval observers in the literature is that the information of the measurement vectors only updates when some event-triggered conditions hold, which may be effective in saving communication resources. Conditions for the existence of the ETFIOs and a design algorithm are provided.