Abstract
A sensor fault diagnosis of an electric vehicle (EV) modeled as a Takagi-Sugeno (TS) system is proposed. The proposed TS model considers the nonlinearity of the longitudinal velocity of the vehicle and parametric variation induced by the slope of the road; these considerations allow to obtain a mathematical model that represents the vehicle for a wide range of speeds and different terrain conditions. First, a virtual sensor represented by a TS state observer is developed. Sufficient conditions are given by a set of linear matrix inequalities (LMIs) that guarantee asymptotic convergence of the TS observer. Second, the work is extended to perform fault detection and isolation based on a generalized observer scheme (GOS). Numerical simulations are presented to show the performance and applicability of the proposed method.
Highlights
In recent years, there has been a substantial increase in the number of electric vehicles (EV), due to the increase of pollution by CO2 emissions to the environment
The main contributions of this paper are listed as follows: (i) a Takagi-Sugeno model is developed, whose weighting functions depend on the longitudinal velocity and the slope of the terrain in order to increase the operation range of the diagnostic system; (ii) sufficient conditions are proposed in order to guarantee the asymptotic convergence of the observer that is deduced through a quadratic Lyapunov function and a set of linear matrix inequalities (LMIs); (iii) a bank of observers based on a generalized observer scheme is proposed to detect and isolate sensor faults
An observer-based fault detection system was designed for an electric vehicle
Summary
There has been a substantial increase in the number of electric vehicles (EV), due to the increase of pollution by CO2 emissions to the environment. The main contributions of this paper are listed as follows: (i) a Takagi-Sugeno model is developed, whose weighting functions depend on the longitudinal velocity and the slope of the terrain in order to increase the operation range of the diagnostic system; (ii) sufficient conditions are proposed in order to guarantee the asymptotic convergence of the observer that is deduced through a quadratic Lyapunov function and a set of linear matrix inequalities (LMIs); (iii) a bank of observers based on a generalized observer scheme is proposed to detect and isolate sensor faults.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
