In this paper, a method of capacity trajectory prediction for lead-acid battery, based on the steep drop curve of discharge voltage and improved Gaussian process regression model, is proposed by analyzing the relationship between the current available capacity and the voltage curve of short-time discharging. The battery under average charging is discharged for …
Conclusions Aiming at the problems of difficulty in health feature extraction and strong nonlinearity of the capacity degradation trajectory of the lead–acid battery, a capacity trajectory prediction method of lead–acid battery, based on drop steep discharge voltage curve and improved Gaussian process regression, is proposed in this paper.
Several existing techniques for predicting the remaining capacity of a lead-acid battery discharged with a variable current are based on variants of Peukert's empirical equation, which relates the available capacity to a constant discharge current.
Gu et al. introduced a model with an integrated formulation for battery dynamics to predict transient behaviors of lead-acid batteries. Esfahanian and Torabi applied the Keller-Box method to the coupled one-dimensional electrochemical transport equations in order to simulate lead-acid batteries.
According to reference [ 15 ], from the perspective of electrochemistry, at the beginning of discharge, the PbSO 4 produced by discharge reaction cannot crystallize immediately; so, the concentration of lead ion in electrolyte increased, causing the internal resistance of the battery to decrease, and the terminal voltage drops.
In this paper, the governing equations of lead-acid battery including conservation of charge in solid and liquid phases and conservation of species are solved simultaneously during discharge, rest and charge processes using an efficient reduced order model based on proper orthogonal decomposition (POD).
Gassing is by far the most important side-reaction in lead-acid batteries. It occurs when the cell voltage is so high that hydrogen evolves at the negative electrode and oxygen at the positive electrode.
In this paper, a method of capacity trajectory prediction for lead-acid battery, based on the steep drop curve of discharge voltage and improved Gaussian process regression model, is proposed by analyzing the relationship between the current available capacity and the voltage curve of short-time discharging. The battery under average charging is discharged for …
Fig.4 presents the curves of discharge for VRLA battery at 11 typical cycles from cycle 1 to cycle 51. In Fig.4, we can find the discharge curve varies with different battery cycles. And the capacity of lead-acid battery is related to battery cycles, with the increase of the cycle, the beginning time of nonlinear interval will be more smaller ...
Predicting the lifetime of lead-acid batteries in applications with irregular operating conditions such as partial state-of-charge cycling, varying...
Several existing techniques for predicting the remaining capacity of a lead-acid battery discharged with a variable current are based on variants of Peukert''s empirical …
As of today, common rechargeable batteries are lead–acid battery series and lithium-ion battery series. The earliest lead–acid batteries and lithium-ion batteries were proposed in 1859 (Kurzweil, 2010) and 1976 (Whittingham, 1976), respectively the past records, lithium-ion batteries have caused many explosions due to improper use and improper circuit design, …
In this paper, the governing equations of lead-acid battery including conservation of charge in solid and liquid phases and conservation of species are solved simultaneously during discharge, rest and charge processes using an efficient reduced order model based on proper orthogonal decomposition (POD). A comprehensive description of ...
An accurate, intuitive, and comprehensive electrical battery model is proposed and implemented in a Cadence environment that accounts for all dynamic characteristics of the battery, from nonlinear open-circuit voltage, current-, temperature-, cycle number-, and storage time-dependent capacity to transient response.
Aiming at the prediction of the remaining discharge time of the battery, this paper comprehensively analyzes the influence of current intensity, voltage, and battery attenuation on the remaining discharge time, and establishes mathematical models respectively.
based on the discharge monitoring data of lead-acid batteries with different current intensity, this paper attempts to establish the initial mathematical model of arbitrary current intensity …
This paper describes and introduces a new nonlinear predictor and a novel battery model for estimating the state of charge (SoC) of lead-acid batteries for hybrid electric vehicles (HEV). Many problems occur for a traditional SoC indicator, such as offset, drift and long term state divergence, therefore this paper proposes a technique based on the extended …
This paper mainly discusses the prediction of discharge time when lead-acid battery discharge at constant current. For one thing, the functional relationship between the …
This paper mainly discusses the prediction of discharge time when lead-acid battery discharge at constant current. For one thing, the functional relationship between the discharge depth and voltage under different currents is established, and the remaining discharge time of the battery is calculated according to the mathematical model, too ...
Predicting the lifetime of lead-acid batteries in applications with irregular operating conditions such as partial state-of-charge cycling, varying depth-of-discharge and different times between full charging is known as a difficult task.
based on the discharge monitoring data of lead-acid batteries with different current intensity, this paper attempts to establish the initial mathematical model of arbitrary current intensity discharge curves and predict the remaining discharge time of batteries under arbitrary current intensity by making use of the model. Data and methods Data
Key aspect is to guide decisions regarding maintenance and battery replacement using self learning technique to predict the life and the behavior of the lead acid battery as a function of less discharge time, less working hour and saving energy. Numerous methods and techniques are available to forecast the life and the behavior of storage batteries. However, each has got its …
Aiming at the prediction of the remaining discharge time of the battery, this paper comprehensively analyzes the influence of current intensity, voltage, and battery attenuation …
Predicting the lifetime of lead-acid batteries in applications with irregular operating conditions such as partial state-of-charge cycling, varying...
Several existing techniques for predicting the remaining capacity of a lead-acid battery discharged with a variable current are based on variants of Peukert''s empirical equation, which relates the available capacity to a constant discharge current.
ELSEVIER Journal of Power Sources 53 (1995) 245--253 Jlllllt If Predicting the service lifetime of lead/acid batteries in photovoltaic systems David J. Spiers a,1, Asko D. Rasinkoski b a Neste Advanced Power Systems UK, PO Box 83, Abingdon, Oxon. 0X14 2TB, UK b NAPS Technology Laboratory, Neste Technology Centre, PO Box 310, FIN-06101, Porvoo, …
In this paper, a method of capacity trajectory prediction for lead-acid battery, based on the steep drop curve of discharge voltage and improved Gaussian process regression model, is proposed by analyzing the relationship between the current available capacity and the voltage curve of short-time discharging. The battery under average charging ...
battery in an attempt to improve the reliability and service life of the battery system. The focus has been on VRLA batteries, primarily because of the inability to visually inspect the internal element, and the difficulty in predicting potential individual cell failures. Lead-acid batteries naturally degrade as they age. One effect of this ...
In this paper, a method of capacity trajectory prediction for lead-acid battery, based on the steep drop curve of discharge voltage and improved Gaussian process …
This work proposes and validates a reformulated equation which provides an accurate prediction of the runtime for single discharge applications using only the battery name plate information...
This work proposes and validates a reformulated equation which provides an accurate prediction of the runtime for single discharge applications using only the battery name plate information...
Predicting the RUL of the battery precisely is the basic issue for efficient and intelligent BMS. Valve Regulated lead acid (VRLA) battery is extensively used throughout the uninterruptible …
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