On-line adaptive battery impedance parameter and state estimation considering physical principles in reduced order equivalent circuit battery models

Fleischer, Christian; Waag, Wladislaw; Heyn, Hans-Martin; Sauer, Dirk Uwe

doi:10.1016/j.jpowsour.2014.01.129

Cited by 161 publications

(77 citation statements)

References 42 publications

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“…As well as being used to analyze cell and battery pack performance as part of a model-based design process [30], they can also be used for model-based state estimation of SOC and state of health (SOH) [3,31,32].…”

Section: Cell Modellingmentioning

confidence: 99%

Analysis of a Battery Management System (BMS) Control Strategy for Vibration Aged Nickel Manganese Cobalt Oxide (NMC) Lithium-Ion 18650 Battery Cells

et al. 2016

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Electric vehicle (EV) manufacturers are using cylindrical format cells as part of the vehicle's rechargeable energy storage system (RESS). In a recent study focused at determining the ageing behavior of 2.2 Ah Nickel Manganese Cobalt Oxide (NMC) Lithium-Ion 18650 battery cells, significant increases in the ohmic resistance (R O ) were observed post vibration testing. Typically a reduction in capacity was also noted. The vibration was representative of an automotive service life of 100,000 miles of European and North American customer operation. This paper presents a study which defines the effect that the change in electrical properties of vibration aged 18650 NMC cells can have on the control strategy employed by the battery management system (BMS) of a hybrid electric vehicle (HEV). It also proposes various cell balancing strategies to manage these changes in electrical properties. Subsequently this study recommends that EV manufacturers conduct vibration testing as part of their cell selection and development activities so that electrical ageing characteristics associated with road induced vibration phenomena are incorporated to ensure effective BMS and RESS performance throughout the life of the vehicle.

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Section: Cell Modellingmentioning

confidence: 99%

Analysis of a Battery Management System (BMS) Control Strategy for Vibration Aged Nickel Manganese Cobalt Oxide (NMC) Lithium-Ion 18650 Battery Cells

et al. 2016

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“…UW is the terminal voltage of this element. Fleischer et al [28] presented the physical meaning of the parameters in ZW; without considering the boundary conditions, ZW can be expressed by Equation (3):…”

Section: Simplified Eis Modelmentioning

confidence: 99%

A Novel Grouping Method for Lithium Iron Phosphate Batteries Based on a Fractional Joint Kalman Filter and a New Modified K-Means Clustering Algorithm

Song

Wei

et al. 2015

Energies

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This paper presents a novel grouping method for lithium iron phosphate batteries. In this method, a simplified electrochemical impedance spectroscopy (EIS) model is utilized to describe the battery characteristics. Dynamic stress test (DST) and fractional joint Kalman filter (FJKF) are used to extract battery model parameters. In order to realize equal-number grouping of batteries, a new modified K-means clustering algorithm is proposed. Two rules are designed to equalize the numbers of elements in each group and exchange samples among groups. In this paper, the principles of battery model selection, physical meaning and identification method of model parameters, data preprocessing and equal-number clustering method for battery grouping are comprehensively described. Additionally, experiments for battery grouping and method validation are designed. This method is meaningful to application involving the grouping of fresh batteries for electric vehicles (EVs) and screening of aged batteries for recycling.

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“…Large errors can be observed because the Nyquist plot of the battery impedance spectroscopy (IS) has a depressed semicircle within the frequency range of the charge transfer process (1Hz<f<4 kHz) that cannot be modelled accurately by a single R//C branch. Also the plot shows a behavior similar to Warburg impedance [5,6] within the frequency range of the diffusion process (1mHz<f<1Hz) that also cannot be modelled accurately by a single R//C branch. A complex model can be obtained by replacing the simple capacitor of the R 1 //C 1 branch representing the charge transfer process by a constant phase element (CPE) to accurately fit the depressed semicircle of the impedance plot, as well as replacing the R 2 //C 2 branch by Warburg impedance to enhance the fitting accuracy as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

“…1(b) [4,5]. Many attempts have been made to improve the accuracy of modelling especially for the diffusion process: some methods used a constant phase element and hence a fractional order model [3,4]; other modelling techniques used an unlimited chain of RCs to represents the Warburg impedance, trying to approximate by a finite number N (suggested as 5 in [6]). Although these modelling techniques achieved a good accuracy, it extended the model complexity and this may be inappropriate if low cost microcontrollers are considered for the BMS.…”

Section: Introductionmentioning

confidence: 99%

Development of a battery energy loss observer based on improved equivalent circuit modelling

Fares

Klumpner

Sumner

2016

2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe)

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This paper proposes a new energy loss observer for batteries that has a good accuracy and low complexity. This observer can provide a support for battery management systems (BMS) in terms of predicting battery energy loss and/or battery internal temperature for given load profiles, and this enhances BMS capabilities for predictive and corrective actions. The typical observer requires an accurate battery model that represents accurately the internal resistance of the battery, and therefore battery modelling guidelines to produce a simplified equivalent circuit model (ECM) have been proposed. Experiments to validate the accuracy of the proposed model have been performed on a LiFePO4 (3.6V/8Ah) battery cell. The model parameter estimation has been achieved by fitting the model impedance to the battery impedance data obtained from electrochemical impedance spectroscopy. The energy loss estimation based on the proposed observer showed good accuracy with maximum error of ±2% under different load profiles operated within the targeted frequency range.

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On-line adaptive battery impedance parameter and state estimation considering physical principles in reduced order equivalent circuit battery models

Cited by 161 publications

References 42 publications

Analysis of a Battery Management System (BMS) Control Strategy for Vibration Aged Nickel Manganese Cobalt Oxide (NMC) Lithium-Ion 18650 Battery Cells

Analysis of a Battery Management System (BMS) Control Strategy for Vibration Aged Nickel Manganese Cobalt Oxide (NMC) Lithium-Ion 18650 Battery Cells

A Novel Grouping Method for Lithium Iron Phosphate Batteries Based on a Fractional Joint Kalman Filter and a New Modified K-Means Clustering Algorithm

Development of a battery energy loss observer based on improved equivalent circuit modelling

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