State-of-charge estimation of series-parallel battery packs based on fusion models for electric vehicles

Aihua Tang; Yukun Huang; Jianming Li; Quanqing Yu

doi:10.46855/energy-proceedings-10205

State-of-charge estimation of series-parallel battery packs based on fusion models for electric vehicles

Aihua Tang
, Yukun Huang
, Jianming Li
, Quanqing Yu^*

^*Corresponding author for this work

Chongqing Institute of Technology
Automotive Engineering College

Research output: Contribution to journal › Conference article › peer-review

Abstract

Estimating the state-of-charge of battery packs is more important than that of single cells in electric vehicles. This paper proposes a battery pack model to estimate the SOC of a series-parallel battery pack for electric vehicles, which integrates the difference model and the mean model. To verify the performance of the model, we use the model to estimate the SOC of a 12-series-3-parallel (12S3P) battery pack under dynamicconditions, the results show that the maximum error of the battery pack SOC estimation is 0.005.

Original language	English
Journal	Energy Proceedings
Volume	27
DOIs	https://doi.org/10.46855/energy-proceedings-10205
State	Published - 2022
Externally published	Yes
Event	14th International Conference on Applied Energy, ICAE 2022 - Bochum, Germany Duration: 8 Aug 2022 → 11 Aug 2022

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

difference model
mean model
series-parallel battery pack
state-of-charge

Access to Document

10.46855/energy-proceedings-10205

Cite this

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title = "State-of-charge estimation of series-parallel battery packs based on fusion models for electric vehicles",

abstract = "Estimating the state-of-charge of battery packs is more important than that of single cells in electric vehicles. This paper proposes a battery pack model to estimate the SOC of a series-parallel battery pack for electric vehicles, which integrates the difference model and the mean model. To verify the performance of the model, we use the model to estimate the SOC of a 12-series-3-parallel (12S3P) battery pack under dynamicconditions, the results show that the maximum error of the battery pack SOC estimation is 0.005.",

keywords = "difference model, mean model, series-parallel battery pack, state-of-charge",

author = "Aihua Tang and Yukun Huang and Jianming Li and Quanqing Yu",

year = "2022",

doi = "10.46855/energy-proceedings-10205",

language = "英语",

volume = "27",

journal = "Energy Proceedings",

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TY - JOUR

T1 - State-of-charge estimation of series-parallel battery packs based on fusion models for electric vehicles

AU - Tang, Aihua

AU - Huang, Yukun

AU - Li, Jianming

AU - Yu, Quanqing

PY - 2022

Y1 - 2022

N2 - Estimating the state-of-charge of battery packs is more important than that of single cells in electric vehicles. This paper proposes a battery pack model to estimate the SOC of a series-parallel battery pack for electric vehicles, which integrates the difference model and the mean model. To verify the performance of the model, we use the model to estimate the SOC of a 12-series-3-parallel (12S3P) battery pack under dynamicconditions, the results show that the maximum error of the battery pack SOC estimation is 0.005.

AB - Estimating the state-of-charge of battery packs is more important than that of single cells in electric vehicles. This paper proposes a battery pack model to estimate the SOC of a series-parallel battery pack for electric vehicles, which integrates the difference model and the mean model. To verify the performance of the model, we use the model to estimate the SOC of a 12-series-3-parallel (12S3P) battery pack under dynamicconditions, the results show that the maximum error of the battery pack SOC estimation is 0.005.

KW - difference model

KW - mean model

KW - series-parallel battery pack

KW - state-of-charge

UR - https://www.scopus.com/pages/publications/85219237952

U2 - 10.46855/energy-proceedings-10205

DO - 10.46855/energy-proceedings-10205

M3 - 会议文章

AN - SCOPUS:85219237952

SN - 2004-2965

VL - 27

JO - Energy Proceedings

JF - Energy Proceedings

T2 - 14th International Conference on Applied Energy, ICAE 2022

Y2 - 8 August 2022 through 11 August 2022

ER -

State-of-charge estimation of series-parallel battery packs based on fusion models for electric vehicles

Abstract

UN SDGs

Keywords

Access to Document

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