An Extended Kalman Filter implementation for estimating the mass of a passenger vehicle

Stephanie  L. J. Galvão; Raony  M. Fontes; Daniel  D. Santana; Reiner  Requião

doi:10.48011/asba.v2i1.1520

Stephanie L. J. Galvão Departamento de Engenharia Química, Universidade Federal da Bahia
Raony M. Fontes Departamento de Engenharia Química, Universidade Federal da Bahia
Daniel D. Santana Departamento de Engenharia Química, Universidade Federal da Bahia
Reiner Requião Departamento de Engenharia Química, Universidade Federal da Bahia

DOI: https://doi.org/10.48011/asba.v2i1.1520

Keywords: Mass estimation, Extended Kalman filter, Vehicle operating information, Nonlinear systems

Abstract

The vehicle mass is an important information to guarantee drivability, performance feel, fuel economy and safety. In this sense, the application of strategies to reach these goals depends on how accurate the vehicle operating information is, requiring a precise and robust algorithm. This paper proposes an offline mass estimation method to passenger cars, using the Extended Kalman Filter. The method combines the filter approach whereby only the speed is provided as a measurement with a parameter estimation to adjust possible modelling errors and to calculate a proposed engine torque. Tests in city routes were done in controlled dynamics to guarantee the effectiveness of the estimation and the simulation results presented errors below 5%.