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State and Parameter Estimation of EVs

Chapter


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.

Publication Date


  • 2017

Citation


  • McAulay, B., Li, B., Commins, P., & Du, H. (2017). State and Parameter Estimation of EVs. In Modeling, Dynamics, and Control of Electrified Vehicles (pp. 369-407). doi:10.1016/B978-0-12-812786-5.00011-2

International Standard Book Number (isbn) 13


  • 9780128127865

Scopus Eid


  • 2-s2.0-85042437876

Web Of Science Accession Number


Book Title


  • Modeling, Dynamics, and Control of Electrified Vehicles

Start Page


  • 369

End Page


  • 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.

Publication Date


  • 2017

Citation


  • McAulay, B., Li, B., Commins, P., & Du, H. (2017). State and Parameter Estimation of EVs. In Modeling, Dynamics, and Control of Electrified Vehicles (pp. 369-407). doi:10.1016/B978-0-12-812786-5.00011-2

International Standard Book Number (isbn) 13


  • 9780128127865

Scopus Eid


  • 2-s2.0-85042437876

Web Of Science Accession Number


Book Title


  • Modeling, Dynamics, and Control of Electrified Vehicles

Start Page


  • 369

End Page


  • 407