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Journals / Balkan Journal of Electrical and Computer Engineering / 2018 / Cilt: 6 Sayı: 4

Estimation of Reduced Order Equivalent Circuit Model Parameters of Batteries from Noisy Current and Voltage Measurements

Barış Baykant Alagöz(İNÖNÜ ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ)
Hafiz Alisoy(NAMIK KEMAL ÜNİVERSİTESİ)
Pages
224–231
Publication Date
2018-10-28
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Performance of the parameter estimation method is investigated for various noise levels of the synthetically generated current and voltage profiles.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Identification of reduced order equivalent circuit battery model from current and voltage measurements allows modeling, classification and monitoring of batteries, and these tasks are very essential for battery management systems.
📊
Key Findings & Data:This study presents a theoretical study to investigate performance of computer-aided identification of the reduced order equivalent circuit battery model from noisy current and voltage measurement data.
💡
Conclusion & Impact:Performance of the parameter estimation method is investigated for various noise levels of the synthetically generated current and voltage profiles.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Battery model · fractional order system model · Grünwald-Letnikov definition

Abstract

Identification of reduced order equivalent circuit battery model from current and voltage measurements allows modeling, classification and monitoring of batteries, and these tasks are very essential for battery management systems. This study presents a theoretical study to investigate performance of computer-aided identification of the reduced order equivalent circuit battery model from noisy current and voltage measurement data. The battery model is expressed by fractional order differential equation and time domain solution of this model is numerically calculated according to Grünwald-Letnikov definition of fractional-order derivative. Paper demonstrates an application of this numerical solution in order to fit noisy current and voltage measurement data by using particle swarm optimization (PSO) method. Then, parameters of the equivalent circuit battery model are estimated. Performance of the parameter estimation method is investigated for various noise levels of the synthetically generated current and voltage profiles.

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Cite This Article

Alagöz, B. B., Alisoy, H. (2018). Estimation of Reduced Order Equivalent Circuit Model Parameters of Batteries from Noisy Current and Voltage Measurements. Balkan Journal of Electrical and Computer Engineering, Cilt: 6 Sayı: 4, 224–231. https://doi.org/10.17694/bajece.449265

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