A LiFePO4 battery discharge simulator for EV applications — Part 2: Developing the battery simulator

Author

Enache, Bogdan-Adrian ; Alexandru, Magdalena Emilia ; Constantinescu, Luminita Mirela

Author_Institution

Dept. of Electron., Comput. & Electr. Eng., Univ. of Pitesti, Pitesti, Romania

fYear

2015

fDate

7-9 May 2015

Firstpage

883

Lastpage

888

Abstract

This paper, the second of the series on developing a LiFePO₄ (LFP) battery discharge simulator for EV applications, presents an approach for developing the battery simulator. After the optimal battery model was established, in the first paper, the main drawbacks of battery simulator are addressed and a new strategy is proposed. This strategy uses neural networks (NN) for online estimation of the battery parameters during discharge. The proposed simulator is validated by comparisons with a typical simulator and data from a LFP battery submitted to discharge profile in concordance with a driving cycle.

Keywords

battery powered vehicles; iron compounds; lithium compounds; neural nets; parameter estimation; power engineering computing; secondary cells; EV applications; LFP battery; discharge profile; driving cycle; lithium iron phosphate battery discharge simulator; neural networks; online battery parameter estimation; optimal battery model; Approximation methods; Artificial neural networks; Batteries; Discharges (electric); Estimation; Neurons; System-on-chip; LFP battery; battery model; battery simulator; neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Topics in Electrical Engineering (ATEE), 2015 9th International Symposium on

Conference_Location

Bucharest

Type

conf

DOI

10.1109/ATEE.2015.7133926

Filename

7133926