Open AccessAn efficient field programmable gate arrays based real‐time implementation of smooth variable structure filter to estimate the state of charge of Li‐ion battery in electric vehicle application
Author(s) -
Jemmali Sabeur,
Hamouda Mahmoud,
Manaï Bilal
Publication year - 2022
Publication title -
iet electrical systems in transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.588
H-Index - 26
eISSN - 2042-9746
pISSN - 2042-9738
DOI - 10.1049/els2.12055
Subject(s) - battery (electricity) , state of charge , voltage , filter (signal processing) , field programmable gate array , range (aeronautics) , computer science , engineering , embedded system , electrical engineering , power (physics) , physics , quantum mechanics , aerospace engineering
The computational efficiency is a challenging task in the real‐time implementation of battery State of Charge (SoC) estimation algorithms in Electric Vehicle (EV) application. This study proposes for the first time a pure hardware architecture of a Smooth Variable Structure Filter (SVSF) to estimate the SoC of a lithium‐ion battery in an EV. The proposed embedded architecture is implemented on a Xilinx Zynq‐7000 field programmable gate arrays board without using any soft‐core, and validated with real‐time tests carried out on a 20 Ah NMC battery with nominal voltage about 3.65 V. The whole embedded architecture of the SVSF needs a reduced execution time in the range of 921 ns, and it consumes only 466 mW. The average estimation errors of the SoC and battery voltage at different temperatures are kept within 4.95% and 2.35% respectively. The successful convergence of the algorithm and the accurate results obtained in different circumstances, prove the practicability and computational efficiency of the proposed hardware architecture.