State-of-Charge Estimation Based on Open-Circuit Voltage Model Considering Hysteresis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00376481" target="_blank" >RIV/68407700:21230/24:00376481 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/ISSE61612.2024.10603756" target="_blank" >https://doi.org/10.1109/ISSE61612.2024.10603756</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ISSE61612.2024.10603756" target="_blank" >10.1109/ISSE61612.2024.10603756</a>

Jazyk výsledku

angličtina

Název v původním jazyce

State-of-Charge Estimation Based on Open-Circuit Voltage Model Considering Hysteresis

Popis výsledku v původním jazyce

Lithium-ion batteries (LIBs) play a pivotal role in various sectors such as transportation, aerospace, and stationary systems. Accurate estimation of their state-of-charge (SOC) is crucial for efficient utilization within battery management systems. This work presents an enhanced SOC estimation method for LIBs, leveraging both open-circuit voltage (OCV) and hysteresis models. A co-estimation architecture employing two estimators is proposed, firstly focusing on battery model parameter estimation, and secondly utilizing pseudo-OCV instead of voltage measurements as output. This modification offers enhanced accuracy, reduced reliance on extensive laboratory testing, and improved robustness, especially in applications with rapid temperature fluctuations. The proposed method is evaluated through dynamic discharge profile tests across temperature levels ranging from 5 to 45 °C. Root-mean-square errors of SOC estimation for various temperatures were improved from the baseline approach (0.0185-0.0420) down to 0.0090-0.0280 in the proposed approach, showcasing the effectiveness of incorporating hysteresis models into SOC estimation.

Název v anglickém jazyce

State-of-Charge Estimation Based on Open-Circuit Voltage Model Considering Hysteresis

Popis výsledku anglicky

Lithium-ion batteries (LIBs) play a pivotal role in various sectors such as transportation, aerospace, and stationary systems. Accurate estimation of their state-of-charge (SOC) is crucial for efficient utilization within battery management systems. This work presents an enhanced SOC estimation method for LIBs, leveraging both open-circuit voltage (OCV) and hysteresis models. A co-estimation architecture employing two estimators is proposed, firstly focusing on battery model parameter estimation, and secondly utilizing pseudo-OCV instead of voltage measurements as output. This modification offers enhanced accuracy, reduced reliance on extensive laboratory testing, and improved robustness, especially in applications with rapid temperature fluctuations. The proposed method is evaluated through dynamic discharge profile tests across temperature levels ranging from 5 to 45 °C. Root-mean-square errors of SOC estimation for various temperatures were improved from the baseline approach (0.0185-0.0420) down to 0.0090-0.0280 in the proposed approach, showcasing the effectiveness of incorporating hysteresis models into SOC estimation.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2024 47th International Spring Seminar on Electronics Technology (ISSE)

ISBN

979-8-3503-8548-9

ISSN

2161-2536

e-ISSN

—

Počet stran výsledku

4

Strana od-do

—

Název nakladatele

IEEE Press

Místo vydání

New York

Místo konání akce

Praha

Datum konání akce

15. 5. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001283808200033