Effects of rest time on discharge response and equivalent circuit model for a lead-acid battery

Devarakonda, Lalitha; Hu, Tingshu

doi:10.1016/j.jpowsour.2015.02.030

Cited by 21 publications

(15 citation statements)

References 23 publications

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“…In this way, the charging and discharging process for the battery is performed through the PV supply and the connected load. As stated in [32][33][34], beyond 70~80% SOC the stocking battery exhibits over-charging, while lower than 30~40% SOC the holding battery runs in the deep-discharging manner. Thus, 40-80% SOC is ranged in this paper to perform smooth battery charging-discharging operation and, hence, lengthening the battery lifetime.…”

Section: Simulation Modelmentioning

confidence: 85%

Active Charge Balancing Strategy Using the State of Charge Estimation Technique for a PV-Battery Hybrid System

et al. 2020

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Charging a group of series-connected batteries of a PV-battery hybrid system exhibits an imbalance issue. Such imbalance has severe consequences on the battery activation function and the maintenance cost of the entire system. Therefore, this paper proposes an active battery balancing technique for a PV-battery integrated system to improve its performance and lifespan. Battery state of charge (SOC) estimation based on the backpropagation neural network (BPNN) technique is utilized to check the charge condition of the storage system. The developed battery management system (BMS) receives the SOC estimation of the individual batteries and issues control signal to the DC/DC Buck-boost converter to balance the charge status of the connected group of batteries. Simulation and experimental results using MATLAB-ATMega2560 interfacing system reveal the effectiveness of the proposed approach.

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Section: Simulation Modelmentioning

confidence: 85%

Active Charge Balancing Strategy Using the State of Charge Estimation Technique for a PV-Battery Hybrid System

et al. 2020

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“…To use EIS in practical applications, the impact of different measurement conditions must be investigated. SoC, SoH, and temperature were investigated in several studies [23]- [27] in laboratory settings for the purpose of battery characterization. In most EIS studies, a rest time period of 1 to 24 hours is used after charge or discharge and before the EIS measurement [28].…”

Section: B Relaxation Effect and Eis Measurementmentioning

confidence: 99%

Electrochemical Impedance Spectroscopy With Practical Rest-Times for Battery Management Applications

Messing

Shoa²,

Habibi

2021

IEEE Access

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The State of Charge (SoC), State of Health (SoH), and State of available Power (SoaP) of Lithium-Ion Batteries (LiB) are critical quantities which cannot be measured but must be estimated by Battery Management Systems (BMS) instead. A technique known as Electrochemical Impedance Spectroscopy (EIS) provides a non-destructive way of measuring battery impedance, offering detailed insight into the battery state of operation. Several challenges must be solved in to utilize EIS as part of the BMS, including the defining of operating conditions at which to perform the sensitive EIS measurement. In laboratory conditions, several hours of rest are used to ensure a stable response of the battery, but such rest times are impractical for BMS applications. This paper proposes a methodology combining drift compensation and a Voigt-circuit used as a filter to obtain valid EIS data with short rest times under different operating conditions. Extensive tests were conducted on lithium nickel manganese cobalt (NMC) batteries to evaluate the methodology and show how the different operating conditions impact the rest time required for valid EIS measurement. The results show that rest times between 5 and 30 minutes can be used to obtain useful EIS data for a wide range of operating conditions.INDEX TERMS Battery management systems, lithium batteries, electrochemical impedance spectroscopy.

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“…Recently, a couple more studies have been conducted to understand the influence of relaxation time on battery parameters [14, 16]. Reichert et al [14] studied commercial Li‐ion and found that there was no change in the battery discharge time when incorporating rest times.…”

Section: Related Workmentioning

confidence: 99%

“…It was however highlighted that frequent shorter rest periods have a worst effect on ageing in comparison with the fewer but long sleep intervals. Devarakonda and Hu [16] reported research on customised Li‐based single cells to explore how diffusion time constant varies with the open‐circuit time.…”

Section: Related Workmentioning

confidence: 99%

Experimental validation of the recovery effect in batteries for wearable sensors and healthcare devices discovering the existence of hidden time constants

Arora

Sherratt

Janko

et al. 2017

J. eng.

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Effects of rest time on discharge response and equivalent circuit model for a lead-acid battery

Cited by 21 publications

References 23 publications

Active Charge Balancing Strategy Using the State of Charge Estimation Technique for a PV-Battery Hybrid System

Active Charge Balancing Strategy Using the State of Charge Estimation Technique for a PV-Battery Hybrid System

Electrochemical Impedance Spectroscopy With Practical Rest-Times for Battery Management Applications

Experimental validation of the recovery effect in batteries for wearable sensors and healthcare devices discovering the existence of hidden time constants

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