Title :
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
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;
Conference_Titel :
Advanced Topics in Electrical Engineering (ATEE), 2015 9th International Symposium on
Conference_Location :
Bucharest
DOI :
10.1109/ATEE.2015.7133926