Comparative Analysis of Control Observer-Based Methods for State Estimation of Lithium-Ion Batteries in Practical Scenarios

Fuente: arXiv
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Main Authors: Saeed, Muhammad, Khalatbarisoltani, Arash, Deng, Zhongwei, Liu, Wenxue, Altaf, Faisal, Lu, Shuai, Hu, Xiaosong
Format: Preprint
Published: 2024
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_version_ 1866910723918004224
author Saeed, Muhammad
Khalatbarisoltani, Arash
Deng, Zhongwei
Liu, Wenxue
Altaf, Faisal
Lu, Shuai
Hu, Xiaosong
author_facet Saeed, Muhammad
Khalatbarisoltani, Arash
Deng, Zhongwei
Liu, Wenxue
Altaf, Faisal
Lu, Shuai
Hu, Xiaosong
contents The reliability, lower computational complexity, and ease of implementation of control observers make them one of the most promising methods for the state estimation of Li-ion batteries (LIBs) in commercial applications. To pave their way, this study performs a comprehensive and systematic evaluation of four main categories of control observer-based methods in different practical scenarios considering estimation accuracy, computational time convergence speed, stability, and robustness against measurement uncertainties. Observers are designed using a second-order equivalent circuit model whose observability against different scenarios is rigorously investigated to verify the feasibility of the proposed analysis. Established techniques then are validated against driving datasets and their comparative usefulness is evaluated using an experimental setup. The analysis also evaluates the adaptability of different techniques to electric vehicle field data. The results indicate better accuracy, stability, robustness, and faster convergence for the PI and PID, while the estimations of the Luenberger observers find it hard to converge against highly dynamic loadfiles. Moreover, this study also discusses the sensitivity of observer-based techniques to battery ohmic polarization and voltage-related measurement uncertainties. The most remarkable contribution of the proposed study lies in providing guidance for researchers when choosing the control observers for online state estimation of LIBs.
format Preprint
id arxiv_https___arxiv_org_abs_2411_18867
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Comparative Analysis of Control Observer-Based Methods for State Estimation of Lithium-Ion Batteries in Practical Scenarios
Saeed, Muhammad
Khalatbarisoltani, Arash
Deng, Zhongwei
Liu, Wenxue
Altaf, Faisal
Lu, Shuai
Hu, Xiaosong
Systems and Control
The reliability, lower computational complexity, and ease of implementation of control observers make them one of the most promising methods for the state estimation of Li-ion batteries (LIBs) in commercial applications. To pave their way, this study performs a comprehensive and systematic evaluation of four main categories of control observer-based methods in different practical scenarios considering estimation accuracy, computational time convergence speed, stability, and robustness against measurement uncertainties. Observers are designed using a second-order equivalent circuit model whose observability against different scenarios is rigorously investigated to verify the feasibility of the proposed analysis. Established techniques then are validated against driving datasets and their comparative usefulness is evaluated using an experimental setup. The analysis also evaluates the adaptability of different techniques to electric vehicle field data. The results indicate better accuracy, stability, robustness, and faster convergence for the PI and PID, while the estimations of the Luenberger observers find it hard to converge against highly dynamic loadfiles. Moreover, this study also discusses the sensitivity of observer-based techniques to battery ohmic polarization and voltage-related measurement uncertainties. The most remarkable contribution of the proposed study lies in providing guidance for researchers when choosing the control observers for online state estimation of LIBs.
title Comparative Analysis of Control Observer-Based Methods for State Estimation of Lithium-Ion Batteries in Practical Scenarios
topic Systems and Control
url https://arxiv.org/abs/2411.18867