On-line estimation of dynamic state-of-charge for lead acid battery based on fuzzy logic

Renjian Feng; Shuai Zhao; Xiaodong Lu

doi:10.1109/MIC.2013.6758002

On-line estimation of dynamic state-of-charge for lead acid battery based on fuzzy logic

Renjian Feng
, Shuai Zhao
, Xiaodong Lu

School of Instrumentation and Optoelectronic Engineering

Beihang University

Research output: Contribution to conference › Paper › peer-review

18 Scopus citations

Abstract

The performance and life expectancy of battery depend heavily on the battery management based on SOC estimation in photovoltaic systems and electric vehicles. The objective of work presented in this paper is to develop a novel on-line estimation of SOC for the lead acid battery. The proposed method consists of two major subroutines: Open-Circuit-Voltage (OCV) extrapolation and fuzzy logic compensation. The determination of initial SOC based on OCV extrapolation functions as the basis of Coulomb counting process. Thereafter the estimation of dynamic SOC is compensated by the fuzzy logic model, which adopted discharging current and temperature as input variables to calculate the compensation coefficient. Results of the simulations as well as experiment on a VRLA lead-acid battery is also included that indicate the validity of the proposed methodology.

Original language	English
Pages	447-451
Number of pages	5
DOIs	https://doi.org/10.1109/MIC.2013.6758002
State	Published - 2013
Event	2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013 - Harbin, China Duration: 16 Aug 2013 → 18 Aug 2013

Conference

Conference	2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013
Country/Territory	China
City	Harbin
Period	16/08/13 → 18/08/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 7 Affordable and Clean Energy

Keywords

Fuzzy Inference
Lead Acid Battery
Open Circuit Voltage
SOC Estimation

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10.1109/MIC.2013.6758002

Cite this

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title = "On-line estimation of dynamic state-of-charge for lead acid battery based on fuzzy logic",

abstract = "The performance and life expectancy of battery depend heavily on the battery management based on SOC estimation in photovoltaic systems and electric vehicles. The objective of work presented in this paper is to develop a novel on-line estimation of SOC for the lead acid battery. The proposed method consists of two major subroutines: Open-Circuit-Voltage (OCV) extrapolation and fuzzy logic compensation. The determination of initial SOC based on OCV extrapolation functions as the basis of Coulomb counting process. Thereafter the estimation of dynamic SOC is compensated by the fuzzy logic model, which adopted discharging current and temperature as input variables to calculate the compensation coefficient. Results of the simulations as well as experiment on a VRLA lead-acid battery is also included that indicate the validity of the proposed methodology.",

keywords = "Fuzzy Inference, Lead Acid Battery, Open Circuit Voltage, SOC Estimation",

author = "Renjian Feng and Shuai Zhao and Xiaodong Lu",

year = "2013",

doi = "10.1109/MIC.2013.6758002",

language = "英语",

pages = "447--451",

note = "2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013 ; Conference date: 16-08-2013 Through 18-08-2013",

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T1 - On-line estimation of dynamic state-of-charge for lead acid battery based on fuzzy logic

AU - Feng, Renjian

AU - Zhao, Shuai

AU - Lu, Xiaodong

PY - 2013

Y1 - 2013

N2 - The performance and life expectancy of battery depend heavily on the battery management based on SOC estimation in photovoltaic systems and electric vehicles. The objective of work presented in this paper is to develop a novel on-line estimation of SOC for the lead acid battery. The proposed method consists of two major subroutines: Open-Circuit-Voltage (OCV) extrapolation and fuzzy logic compensation. The determination of initial SOC based on OCV extrapolation functions as the basis of Coulomb counting process. Thereafter the estimation of dynamic SOC is compensated by the fuzzy logic model, which adopted discharging current and temperature as input variables to calculate the compensation coefficient. Results of the simulations as well as experiment on a VRLA lead-acid battery is also included that indicate the validity of the proposed methodology.

AB - The performance and life expectancy of battery depend heavily on the battery management based on SOC estimation in photovoltaic systems and electric vehicles. The objective of work presented in this paper is to develop a novel on-line estimation of SOC for the lead acid battery. The proposed method consists of two major subroutines: Open-Circuit-Voltage (OCV) extrapolation and fuzzy logic compensation. The determination of initial SOC based on OCV extrapolation functions as the basis of Coulomb counting process. Thereafter the estimation of dynamic SOC is compensated by the fuzzy logic model, which adopted discharging current and temperature as input variables to calculate the compensation coefficient. Results of the simulations as well as experiment on a VRLA lead-acid battery is also included that indicate the validity of the proposed methodology.

KW - Fuzzy Inference

KW - Lead Acid Battery

KW - Open Circuit Voltage

KW - SOC Estimation

UR - https://www.scopus.com/pages/publications/84897528111

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DO - 10.1109/MIC.2013.6758002

M3 - 论文

AN - SCOPUS:84897528111

SP - 447

EP - 451

T2 - 2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013

Y2 - 16 August 2013 through 18 August 2013

ER -

On-line estimation of dynamic state-of-charge for lead acid battery based on fuzzy logic

Abstract

Conference

UN SDGs

Keywords

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