Analysis of the Current Electric Battery Models for Electric Vehicle Simulation

Gaizka Saldaña, José Ignacio San Martín, Inmaculada Zamora, Francisco Javier Asensio and Oier Oñederra
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Gaizka Saldaña: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), Avda. Otaola 29, 20600 Eibar, Spain
José Ignacio San Martín: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), Avda. Otaola 29, 20600 Eibar, Spain
Inmaculada Zamora: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), Pza. Ingeniero Torres Quevedo s/n, 48013 Bilbao, Spain
Francisco Javier Asensio: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), Avda. Otaola 29, 20600 Eibar, Spain
Oier Oñederra: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), Pza. Ingeniero Torres Quevedo s/n, 48013 Bilbao, Spain

Energies, 2019, vol. 12, issue 14, 1-27

Abstract: Electric vehicles (EVs) are a promising technology to reduce emissions, but its development enormously depends on the technology used in batteries. Nowadays, batteries based on lithium-ion (Li-Ion) seems to be the most suitable for traction, especially nickel-manganese-cobalt (NMC) and nickel-cobalt-aluminum (NCA). An appropriate model of these batteries is fundamental for the simulation of several processes inside an EV, such as the state of charge (SoC) estimation, capacity and power fade analysis, lifetime calculus, or for developing control and optimization strategies. There are different models in the current literature, among which the electric equivalent circuits stand out, being the most appropriate model when performing real-time simulations. However, impedance models for battery diagnosis are considered very attractive. In this context, this paper compares and contrasts the different electrical equivalent circuit models, impedance models, and runtime models for battery-based EV applications, addressing their characteristics, advantages, disadvantages, and usual applications in the field of electromobility. In this sense, this paper serves as a reference for the scientific community focused on the development of control and optimization strategies in the field of electric vehicles, since it facilitates the choice of the model that best suits the needs required.

Keywords: batteries; electric vehicle; equivalent circuit; impedance model; Li-Ion; battery modelling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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