State of health estimation of VRLA batteries using fuzzy logic

Shahriari, Mehrnoosh; Farrokhi, Mohammad

doi:10.1109/iraniancee.2010.5506994

Cited by 10 publications

(5 citation statements)

References 27 publications

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“…In the field of mechanics, the fatigue of materials is determined generally from the cycles of effort. For the lifetime of a battery, the use of the same algorithm on the state of charge of the battery gives a similar result [18][19][20][21][22][23][24][25][26][27][28]. Thus, the Rainflow algorithm has been applied in the example of Figure 2.…”

Section: B) Extraction Of Operating Cycles By Rainflow Algorithmmentioning

confidence: 99%

Aging study of a lead-acid storage bank in a multi-source hybrid system

Laadissi

Khalfi

Belhora

et al. 2020

IJEECS

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Autonomous and grid-connected systems play an important role in the massive integration of renewable energy sources necessary for the global development of a sustainable society. In this regard, the analysis of the behavior of electrochemical storage devices such as lead-acid batteries installed on hybrid energy systems and microgrids in terms of lifespan and economic profitability is an important research subject. The purpose of this article is to present a methodology for calculating the aging rate of a storage battery inserted in a hybrid multisource system. The approach consists in first knowing the solicitations of the battery during a year knowing at every moment its state of charge. This curve is obtained from a dynamic simulator taking into account the intermittences of the sources and the load. The second step is to determine the number of cycles and the depth of discharge of each from the stat of charge. Finally, based on the battery life characteristic given by the manufacturer (cycle number vs. discharge depth), the aging rate of the battery for one year of operation is determined.

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Section: B) Extraction Of Operating Cycles By Rainflow Algorithmmentioning

confidence: 99%

Aging study of a lead-acid storage bank in a multi-source hybrid system

Laadissi

Khalfi

Belhora

et al. 2020

IJEECS

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“…Regarding capacity, the SOH can be defined by (2) where Qmax is the maximum capacity that can be absorbed from the battery [5]. SOC value also refers to the value of the capacity of the equation (2) can be transformed into…”

Section: State Of Charge and State Of Healthmentioning

confidence: 99%

State of health estimation in lithium polymer battery

Ramadan¹,

Pramana²,

Cahyadi³

et al. 2016

AIP Conference Proceedings

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“…Various methods have been so far explored to calculate the battery SoH, such as through the calculation of battery impedance or battery capacity using Kalman Filter [14], Fuzzy theory [15], Probabilistic Neural Network [16], and the adaptive hybrid battery model-based real-time SoC and SoH estimation method [17]. Qiuting [18] conducted a study on SoH estimation methods of lithium batteries by utilizing the Double Unscented Kalman Filtering (D-UKF) algorithm.…”

Section: Introductionmentioning

confidence: 99%

VRLA battery state of health estimation based on charging time

Zainuri¹,

Wibawa²,

Rusli³

et al. 2019

TELKOMNIKA

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Battery state of health (SoH) is an important parameter of the battery's ability to store and deliver electrical energy. Various methods have been so far developed to calculate the battery SoH, such as through the calculation of battery impedance or battery capacity using Kalman Filter, Fuzzy theory, Probabilistic Neural Network, adaptive hybrid battery model, and Double Unscented Kalman Filtering (D-UKF) algorithm. This paper proposes an approach to estimate the value of battery SoH based on the charging time measurement. The results of observation and measurements showed that a new and used batteries would indicate different charging times. Unhealthy battery tends to have faster charging and discharging time. The undertaken analysis has been focused on finding out the relationship between the battery SoH and the charging time range. To validate the results of this proposed approach, the use of battery capacity method has been considered as comparison. It can be concluded that there is a strong correlation between the two discussed SoH estimation methods, confirming that the proposed method is feasible as an alternative SoH estimation method to the widely known battery capacity method. The correlation between the charging-disharging times of healthy and unhealthy batteries is very prospective to develop a battery charger in the future with a prime advantage of not requiring any sensor for the data acquisition.

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State of health estimation of VRLA batteries using fuzzy logic

Cited by 10 publications

References 27 publications

Aging study of a lead-acid storage bank in a multi-source hybrid system

Aging study of a lead-acid storage bank in a multi-source hybrid system

State of health estimation in lithium polymer battery

VRLA battery state of health estimation based on charging time

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