Cranking Capability Estimation Algorithm Based on Modeling and Online Update of Model Parameters for Li-Ion SLI Batteries

The terminal voltage of a starting−lighting−ignition (SLI) battery can decrease to a value lower than the allowable voltage range because of the high discharge current required to crank the engine of a vehicle. To avoid the safety problems generated by this voltage drop, this pap...

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Main Authors: Tae-Won Noh, Jung-Hoon Ahn, Byoung Kuk Lee
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/17/3365
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author Tae-Won Noh
Jung-Hoon Ahn
Byoung Kuk Lee
author_facet Tae-Won Noh
Jung-Hoon Ahn
Byoung Kuk Lee
author_sort Tae-Won Noh
collection DOAJ
description The terminal voltage of a starting−lighting−ignition (SLI) battery can decrease to a value lower than the allowable voltage range because of the high discharge current required to crank the engine of a vehicle. To avoid the safety problems generated by this voltage drop, this paper proposes a cranking capability estimation algorithm. The proposed algorithm includes an equivalent circuit model for describing the instantaneous voltage response to the cranking current profile. This algorithm predicts the minimum value of the terminal voltage for the cranking transient period by analyzing the polarization voltage and dynamic characteristic of the equivalent circuit model. The estimation accuracy is adjusted by an online update for the parameters of the equivalent circuit model, which varies with temperature, aging, and other factors. The proposed algorithm was validated by experiments with a 60Ah LiFePO4-type SLI battery.
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spelling doaj.art-0edb2625e5d94e899799c05f76d435492022-12-22T03:58:34ZengMDPI AGEnergies1996-10732019-09-011217336510.3390/en12173365en12173365Cranking Capability Estimation Algorithm Based on Modeling and Online Update of Model Parameters for Li-Ion SLI BatteriesTae-Won Noh0Jung-Hoon Ahn1Byoung Kuk Lee2Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do 16419, KoreaEnergy Convergence Research Center, Korea Electronics Technology Institute (KETI), 226, Cheomdangwagi-ro, Buk-gu, Gwangju 61011, KoreaDepartment of Electrical and Computer Engineering, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do 16419, KoreaThe terminal voltage of a starting−lighting−ignition (SLI) battery can decrease to a value lower than the allowable voltage range because of the high discharge current required to crank the engine of a vehicle. To avoid the safety problems generated by this voltage drop, this paper proposes a cranking capability estimation algorithm. The proposed algorithm includes an equivalent circuit model for describing the instantaneous voltage response to the cranking current profile. This algorithm predicts the minimum value of the terminal voltage for the cranking transient period by analyzing the polarization voltage and dynamic characteristic of the equivalent circuit model. The estimation accuracy is adjusted by an online update for the parameters of the equivalent circuit model, which varies with temperature, aging, and other factors. The proposed algorithm was validated by experiments with a 60Ah LiFePO4-type SLI battery.https://www.mdpi.com/1996-1073/12/17/3365battery management systemequivalent circuit modelinternal resistance
spellingShingle Tae-Won Noh
Jung-Hoon Ahn
Byoung Kuk Lee
Cranking Capability Estimation Algorithm Based on Modeling and Online Update of Model Parameters for Li-Ion SLI Batteries
Energies
battery management system
equivalent circuit model
internal resistance
title Cranking Capability Estimation Algorithm Based on Modeling and Online Update of Model Parameters for Li-Ion SLI Batteries
title_full Cranking Capability Estimation Algorithm Based on Modeling and Online Update of Model Parameters for Li-Ion SLI Batteries
title_fullStr Cranking Capability Estimation Algorithm Based on Modeling and Online Update of Model Parameters for Li-Ion SLI Batteries
title_full_unstemmed Cranking Capability Estimation Algorithm Based on Modeling and Online Update of Model Parameters for Li-Ion SLI Batteries
title_short Cranking Capability Estimation Algorithm Based on Modeling and Online Update of Model Parameters for Li-Ion SLI Batteries
title_sort cranking capability estimation algorithm based on modeling and online update of model parameters for li ion sli batteries
topic battery management system
equivalent circuit model
internal resistance
url https://www.mdpi.com/1996-1073/12/17/3365
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AT byoungkuklee crankingcapabilityestimationalgorithmbasedonmodelingandonlineupdateofmodelparametersforliionslibatteries