A novel modeling methodology of open circuit voltage hysteresis for LiFePO 4 batteries based on an adaptive discrete Preisach model

Zhu, Letao; Sun, Zhonghui; Dai, Haifeng; Wei, Xuezhe

doi:10.1016/j.apenergy.2015.05.103

Cited by 66 publications

(22 citation statements)

References 34 publications

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“…Anup Barai et al [38] believe that it is important that the ECM used by BMS should incorporate any cell hysteresis accurately. Letao Zhu et al [13] believe that more and more attention being paid to the OCV hysteresis by researchers recently, some possible explanations of OCV hysteresis origin have been proposed. M. García-Plaza et al [39] considered the hysteresis phenomenon and the model parameters dynamic response for SOC estimation.…”

Section: Discussionmentioning

confidence: 99%

“…These methods commonly used impose or are coupled with a nonlinear curve characterization of the open circuit voltage (OCV) [10][11][12]. As an important characteristic parameter of the battery, the relationship between SOC and OCV is of great significance for many techniques such as analytical electrode materials, accurate battery modeling, and reliable SOC estimation [13].…”

Section: Introductionmentioning

confidence: 99%

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A Study on the Open Circuit Voltage and State of Charge Characterization of High Capacity Lithium-Ion Battery Under Different Temperature

et al. 2018

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Open circuit voltage (OCV) is an important characteristic parameter of lithium-ion batteries, which is used to analyze the changes of electronic energy in electrode materials, and to estimate battery state of charge (SOC) and manage the battery pack. Therefore, accurate OCV modeling is a great significance for lithium-ion battery management. In this paper, the characteristics of high-capacity lithium-ion batteries at different temperatures were considered, and the OCV-SOC characteristic curves at different temperatures were studied by modeling, exponential, polynomial, sum of sin functions, and Gaussian model fitting method with pulse test data. The parameters of fitting OCV-SOC curves by exponential model (n = 2), polynomial model (n = 3~7), sum of sin functions model (n = 3), and Gaussian model (n = 4) at temperatures of 45 °C, 25 °C, 0 °C, and −20°C are obtained, and the errors are analyzed. The experimental results show that the operating temperature of the battery influences the OCV-SOC characteristic significantly. Therefore, these factors need to be considered in order to increase the accuracy of the model and improve the accuracy of battery state estimation.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Study on the Open Circuit Voltage and State of Charge Characterization of High Capacity Lithium-Ion Battery Under Different Temperature

et al. 2018

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“…Data‐driven method can solve the problem of estimation nonlinearity but requires large amount of data to train the model . Model‐based method has been paid more attention recently for its robust performance with close‐loop feedback mechanism . Model‐based method usually uses equivalent circuit model or electrochemical model to describe the dynamic characteristics of battery.…”

Section: Introductionmentioning

confidence: 99%

A wavelet transform-adaptive unscented Kalman filter approach for state of charge estimation of LiFePo₄ battery

Chao

Gong

2017

Int J Energy Res

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Summary LiFePo4 battery is widely used in electric vehicles; however, its flatness and hysteresis of the open‐circuit voltage curve pose a big challenge to precise state of charge (SOC) estimation. The issue is discussed and addressed in this paper. First, a cell model with hysteresis is built to describe real‐time dynamic characteristics of the LiFePo4 battery. Second, the model parameters and SOC are estimated independently to avoid the possibility of cross interference between them. For model identification, an adaptive unscented Kalman filter (AUKF) algorithm is used to identify the cell parameters as they change slowly. While SOC could change rapidly, wavelet transform AUKF algorithm is put forward to estimate SOC. In the novel algorithm, the measurement noise can be estimated and updated online. Finally, the performance of the proposed method is verified under dynamic current condition. The experimental results show that estimated value based on the proposed method is more accurate than unscented Kalman filter‐based method and AUKF‐based algorithm. Meanwhile, the proposed estimator also has the merits of fast convergence and good robustness against the initialization uncertainty.

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“…As in the case of discharge test, the OCV is measured in the pack terminals and in each series connection when the relaxation time ends. In the case of a single cell, the discharge tests are carried out from 100% to 0% because the cell is not protected by a BMS [18,19]. However, in a battery pack the cells are controlled by a BMS that limits the minimum cell SOC to 20% to prevent cell under-voltages.…”

Section: Bms Effects On Power Sourcementioning

confidence: 99%

The Influence of BMSs on the Characterization and Modeling of Series and Parallel Li-Ion Packs

et al. 2017

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This work analyzes the effects of a BMS (battery management system) on the characterization and modeling of series and parallel connections of Li-ion cell packs. The Li-ion pack studied consists of four series modules connected in parallel. This pack has been characterized by means of charge, discharge and frequency tests. As a result of these tests, series and parallel influence on battery parameters have been determined. A model considering the effects of a BMS is established and compared with a model based on a single-cell approach. Experimental validations show that the single cell based approach gives poor results in comparison with a model that considers BMS effects.

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A novel modeling methodology of open circuit voltage hysteresis for LiFePO 4 batteries based on an adaptive discrete Preisach model

Cited by 66 publications

References 34 publications

A Study on the Open Circuit Voltage and State of Charge Characterization of High Capacity Lithium-Ion Battery Under Different Temperature

A Study on the Open Circuit Voltage and State of Charge Characterization of High Capacity Lithium-Ion Battery Under Different Temperature

A wavelet transform-adaptive unscented Kalman filter approach for state of charge estimation of LiFePo₄ battery

The Influence of BMSs on the Characterization and Modeling of Series and Parallel Li-Ion Packs

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A novel modeling methodology of open circuit voltage hysteresis for LiFePO 4 batteries based on an adaptive discrete Preisach model

Cited by 66 publications

References 34 publications

A Study on the Open Circuit Voltage and State of Charge Characterization of High Capacity Lithium-Ion Battery Under Different Temperature

A Study on the Open Circuit Voltage and State of Charge Characterization of High Capacity Lithium-Ion Battery Under Different Temperature

A wavelet transform-adaptive unscented Kalman filter approach for state of charge estimation of LiFePo4 battery

The Influence of BMSs on the Characterization and Modeling of Series and Parallel Li-Ion Packs

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A wavelet transform-adaptive unscented Kalman filter approach for state of charge estimation of LiFePo₄ battery