Parameter identification of circuit models for lead-acid batteries under non-zero initial conditions

Devarakonda, Lalitha; Wang, Haifeng; Hu, Tingshu

doi:10.1109/acc.2014.6858706

Cited by 6 publications

(4 citation statements)

References 26 publications

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“…However, it should be considered during the whole discharge process so Eqs. (3) and (8) need to be used together to estimate the SoC during long-term discharge processes.…”

Section: Exponential Regression To Derive Rc Model Parametersmentioning

confidence: 99%

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Initial Electrical Parameter Validation in Lead-Acid Battery Model Used for State Estimation

Csomós¹,

Fodor²,

Kohlrusz³

2017

Hungarian Journal of Industry and Chemistry

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The paper presents a current impulse-based excitation method for lead-acid batteries in order to define the initial electrical parameters for model-based online estimators. The presented technique has the capability to track the SoC (State of Charge) of a battery, however, it is not intended to be used for online SoC estimations. The method is based on the battery’s electrical equivalent Randles’ model [1]. Load current impulse excitation was applied to the battery clamps during discharge while the voltage and current was logged. Based on the Randles’ model, a model function and a fit function were implemented and used by exponential regression based on the measured data. The diffusion-related non-linear characteristic of the battery was approximated by a capacitorlike linear voltage function for speed and simplicity. The initial capacitance of this bulk capacitor was estimated by linear regression on measurements recorded in the laboratory. Then, the RC parameters of the equivalent battery model were derived from exponential regression on transients during each current impulse cycle. The battery model with initial RC parameters is suitable for model-based online observers.

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“…However, it should be considered during the whole discharge process so Eqs. (3) and (8) need to be used together to estimate the SoC during long-term discharge processes.…”

Section: Exponential Regression To Derive Rc Model Parametersmentioning

confidence: 99%

“…The Randles' model as a standard battery model is very popular in the contexts of lead-acid and lithium-ion batteries because of its cost-effectiveness and the similarities of both types. By similarity it is meant that the same model can be reasonably used for the parameter estimation of both battery types [2][3].…”

Section: Introductionmentioning

confidence: 99%

Initial Electrical Parameter Validation in Lead-Acid Battery Model Used for State Estimation

Csomós¹,

Fodor²,

Kohlrusz³

2017

Hungarian Journal of Industry and Chemistry

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“…The dynamic behavior of a lead-acid battery can be represented by the most common model of a battery, Thevenin's equivalent circuit model in Fig.11 [13][14]. Thevenin model does not manifest the open circuit voltage diminution during discharge.…”

Section: Lead-acidmentioning

confidence: 99%

Survey on electrical modeling methods applied on different battery types

Ghossein

Salameh

Karami

et al. 2015

2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE)

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The evolution of battery management systems has imposed the necessity of evaluating batteries equivalent circuit models. The advantage of this type of modeling is to accurately estimate the dynamic aspects of a battery. Circuit parameters are identified for the purpose of forecasting different battery states. This paper presents multiple circuit models described in the literature. Four types of batteries are studied: Nickel-Metal Hybrid, Lithium-Ion, Lead-acid and Lithium Polymer.

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“…Ripples can cause distortion and power loss as well as generate unnecessary torque ripples (Wang, 2019). High frequency current ripples that enter batteries can age batteries and cause deterioration of the anions' state of equilibrium (Devarakonda et al, 2014;Shi et al, 2018;Uddin et al, 2016;Wang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Control Strategy for a Low-Ripple Boost Converter in BLDC Motor Speed Control

Wang

Zhang

2021

Power Electronics and Drives

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Conventional boost converters are widely used for connecting low-voltage power sources and inverters in motor control. However, a large filter capacitor bank is often used to reduce DC-link ripples that occur when an inverter is connected to a boost converter. Otherwise, significant voltage and current perturbations can impact on battery performance degradation and cause torque ripple, speed ripple and vibration in brushless DC (BLDC) motors. To suppress the converter’s DC-link ripple, this paper proposes a new control strategy for boost converter controller to generate low-ripple DC-link voltage or current at different motor speeds. In the proposed method, observers are designed to adaptively estimate the DC-link voltage and current harmonics. The harmonic terms are used as feedback signals to calculate the DC converter’s duty cycle. The entire control model is implemented on an embedded system, and its robustness is verified by simulation and experimental results that show the DC-link voltage and current ripples can be reduced by about 50% and 30%, respectively.

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Parameter identification of circuit models for lead-acid batteries under non-zero initial conditions

Cited by 6 publications

References 26 publications

Initial Electrical Parameter Validation in Lead-Acid Battery Model Used for State Estimation

Initial Electrical Parameter Validation in Lead-Acid Battery Model Used for State Estimation

Survey on electrical modeling methods applied on different battery types

An Adaptive Control Strategy for a Low-Ripple Boost Converter in BLDC Motor Speed Control

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