Lead acid battery SoC estimation based on extended Kalman Filter method considering different temperature conditions

Santos, Rafael M. S.; Alves, Caio L. G. de S.; Macedo, E C; Villanueva, Juan Moisés Maurício; Hartmann, Lucas V.; Catunda, S.Y.C.

doi:10.1109/i2mtc.2017.7969966

Cited by 8 publications

(7 citation statements)

References 11 publications

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“…At time k, the capacitance C b is obtained from the LSCPI algorithm. Accordingly, S OH can be derived from equation (25). The state x a can be estimated by the AKFAS algorithm at time k. Given that x 1 (t) = b and b = S OC /S OH , S OC can be easily calculated from S OC = bÁS OH when S OH is known.…”

Section: Collaborative Estimation Of Soc and Sohmentioning

confidence: 99%

“…In addition, the abovementioned power battery state estimation method cannot be directly used with lead–acid batteries due to the difference in physical structure and characteristics. In Santos et al 25 the EKF for lead–acid batteries is constructed to estimate their SOC, and the effect of the temperature from 10°C to 70°C on the estimation is discussed. A novel SOC estimator for the lead–acid battery bank is designed on the basis of an EKF and a fuzzy model.…”

Section: Introductionmentioning

confidence: 99%

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Augmented system model-based online collaborative determination of lead–acid battery states for energy management of vehicles

Wang

Huang

Pan

et al. 2021

Measurement and Control

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State of charge (SOC) and state of health (SOH) of batteries are the indispensable control decision variables for online energy management system (EMS) in modern internal combustion engine vehicles. The real-time and accurate determination of SOC and SOH is essential to the reliability and safety of EMS operation. Obtaining good accuracy for the SOC estimation is difficult without considering SOH because of their coupling relationship. Although several works on the joint estimation of SOC and SOH of lithium–ion batteries are available, these studies cannot be applied to lead–acid batteries because of the differences in physical structure and characteristics. This study handles the problem of modeling the relationship between SOC and SOH of lead–acid battery and their online collaborative estimation. First, the structure and control strategy of a bus-based EMS is discussed, and the improper energy control actions of EMS due to the inaccurate SOC estimation are analyzed. Second, an instantaneous correlation factor β for SOC and SOH is defined as a new state estimating variable, and the simplified linear relationship model between β and open circuit voltage is established through the battery experiments. Third, a discretized augmented system equation of β is deduced according to the relationship model and the Randles circuit model. The least square circuit parameter identification (LSCPI) algorithm is presented to identify the time-varying circuit model parameters, while the adaptive Kalman filter for augmented system (AKFAS) algorithm is employed to estimate β online. A collaborative estimation algorithm is proposed on the basis of the LSCPI and AKFAS to determine SOC and SOH of lead–acid battery in real time, and a demo intelligent battery sensor is developed for its implementation. The results of battery charging and discharging experiments indicate that the proposed method has high accuracy. The estimation accuracy of SOC of this method reaches 3.13%, which is 7% higher than that of the existing method.

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Section: Collaborative Estimation Of Soc and Sohmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Augmented system model-based online collaborative determination of lead–acid battery states for energy management of vehicles

Wang

Huang

Pan

et al. 2021

Measurement and Control

View full text Add to dashboard Cite

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“…Hydrogen gas generated by electrolysis can cause fires and explosions. 20 Battery management is needed to balance the battery cells and minimize damage. The important parameter is SoC, and SoC is defined as % capacity in the battery.…”

Section: Introductionmentioning

confidence: 99%

SOC (STATE of CHARGE) THREE-CELL LEAD DYNAMIC BATTERY MODEL

Pranata

Sukma

Ghufron

et al. 2021

Jurnal Fisika dan Aplikasinya

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Three-cells dynamic lead-acid battery has been widely manufactured as the latest secondary battery technology. It is being carried out by 10 cycles of charge-discharge treatment with a various types of SoC, such as 100% (Full charge 5100 mAh), 50% (2550 mAh), 25% (1275 mAh) and discharge current of 0.8A. This experiment aims to analyze the treatment of SOC conditions on the performance of the lead-acid battery. The cyclicality test has performed using a Battery Management System (BMS) by applying an electric current at charging 1 A and discharging 0.8A. The results of the SOC charging conditions at 100%, 50%, 25% respectively gave a difference in the value of voltage efficiency of 84%, 87%, 88%, capacity efficiency values of 84%, 80%, 69%, energy efficiency values of 70%, 70%, 62%. The 100% and 50% SOC treatments showed better performance and battery energy the 25% SOC treatment. This research can be a recommendation to predict the performance of the lead-acid battery model during the charging and discharging process.

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“…However, its specific energy and specific power are low, and its cycle-life is short. Nowadays, lead-acid batteries are rarely used as energy storage in EVs [3]. Compared with leadacid batteries, nickel-metal hydride batteries have the advantages of pollution-free, large specific energy, large specific power, and long cycle life, but they have low single voltage, relatively high self-discharge rate, high price, and narrow operating temperature range.…”

Section: Introductionmentioning

confidence: 99%

The Research on Characteristics of Li-NiMnCo Lithium-Ion Batteries in Electric Vehicles

2020

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The energy density of canode materials for lithium-ion batteries has a major impact on the driving range of electric vehicles. In order to study the charge-discharge characteristics and application feasibility of Li-NiMnCo lithium-ion batteries for vehicles, a series of charge and discharge experiments were carried out with different rates of Li-NiMnCo lithium-ion batteries (the ratio of nickel, cobalt, and manganese was 5 : 2 : 3) in constant-current-constant-voltage mode. Firstly, a set of charge-discharge experiments were performed on different types of single-cell lithium-ion batteries. The results show that, under temperature conditions, the charge and discharge voltage-capacity curves of the four different types of Li-NiMnCo lithium batteries mentioned in the paper are not much different, and the charge-discharge characteristic curves are similar, indicating that different types of batteries with the same material composition have similar charge and discharge characteristics. Subsequently, a series of charge and discharge tests with different rates were conducted on such ternary lithium batteries. The characteristic curves with different charge-discharge rates indicate that this new type of ternary lithium battery has high current charge and discharge capability and is suitable for use in new energy electric vehicles. In addition, by analyzing the voltage-SOC curve under different magnification conditions, it is known that there is an approximate linear relationship between the battery voltage value and the SOC within a certain SOC range. The SOC value can be evaluated by the battery voltage, which should be controlled within a reasonable range to avoid overcharge or overdischarge of battery, thereby, causing permanent damage to the battery.

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Lead acid battery SoC estimation based on extended Kalman Filter method considering different temperature conditions

Cited by 8 publications

References 11 publications

Augmented system model-based online collaborative determination of lead–acid battery states for energy management of vehicles

Augmented system model-based online collaborative determination of lead–acid battery states for energy management of vehicles

SOC (STATE of CHARGE) THREE-CELL LEAD DYNAMIC BATTERY MODEL

The Research on Characteristics of Li-NiMnCo Lithium-Ion Batteries in Electric Vehicles

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