Applying Aging Models for Reliability Assessment of Supercapacitors

Prodanov, Prodan; Dankov, Dobroslav

doi:10.1109/electronica50406.2020.9305171

Cited by 3 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Reference [22] introduced a supercapacitor model which is useful for dynamic control of a power system frequency and presents a complete control strategy of CB control. The work underscores that a simple CB model may not always suffice for frequency control in a grid [23]. This study integrates operating voltage, operating temperature, and ESR into the reliability assessment of a supercapacitorbased CB.…”

Section: Aproblem Background and The Current Research Gapmentioning

confidence: 99%

Reliability Calculation Improvement of Electrolytic Capacitor Banks Used in Energy Storage Applications Based on Internal Capacitor Faults and Degradation

Rezaei,

Fathollahi,

Akbari

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Capacitor banks (CBs) play a crucial role in energy storage and frequency control within autonomous microgrids. However, the impact of internal capacitor configurations, varying in terms of equivalent series resistance (ESR), capacitance, and rated voltage, on CB degradation, reliability, and peak current remains an understudied aspect. Moreover, the absence of a capacitance degradation coefficient in the standard MIL-HDBK-217 equations for predicting the reliability of electrolytic capacitors poses a significant challenge. To address these issues, this study examines a microgrid composed of diverse renewable energy systems, featuring nine distinct CB arrangements. The design of CBs considers both capacitance and peak output current individually. An evaluation is conducted to compare construction costs, lifetimes, and peak output currents across all layouts. Additionally, a novel formula is introduced to estimate the reliability and lifetime of CBs, while an existing formula for calculating CB peak output current is enhanced. The research explores the impact of ambient temperature and capacitor voltage on the reliability of various capacitor designs, proposing a novel framework for assessing CB reliability based on MIL-HDBK-338B, which accounts for both short-circuit and open-circuit faults. The practicality of these findings is confirmed through a comparison of experimental and simulation results. The inverter operation video, simulation, and all production data including PCB and processor codes are also attached. INDEX TERMSPower Electronics; Renewable Energy; Capacitor Bank; Degradation Modeling; ESR; Reliability Analysis. NOMENCLATURE A1-A6 Area (mm 2 ). Req,PCB PCB Equivalent resistor (Ω). C Capacitance (F). Rij ESR of capacitor in column i and row j of CB. Cini Initial capacitance (F). RpcbInterconnection resistor of the PCB between two capacitors.

show abstract

Section: Aproblem Background and The Current Research Gapmentioning

confidence: 99%

Reliability Calculation Improvement of Electrolytic Capacitor Banks Used in Energy Storage Applications Based on Internal Capacitor Faults and Degradation

Rezaei,

Fathollahi,

Akbari

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…When a fault occurs, the reliability, degradation value, and storage energy of the CB will change, so the off-line AI training may not be used and the learning data must be updated after the fault. While many models for capacitors have been presented to evaluate reliability and degradation [10]- [11], it is necessary to develop a model of the CB that includes all types of short-circuit and open-circuit faults of the internal capacitors to predict degradation correctly . Using an appropriate CB model and adapting a fast fault detection method with a suitable AI method, the degradation may be predicted, which will evaluate the CB's reliability, peak current, and maximum stored energy.…”

Section: Introductionmentioning

confidence: 99%

Adaptation of a Real-Time Deep Learning Approach With an Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles

et al. 2022

View full text Add to dashboard Cite

The reliability of DC-link capacitor-banks (CBs) encounters many challenges due to their usage in electric vehicles. Heavy shocks may damage the internal capacitors without shutting down the CB. The fundamental development obstacles of CBs are: lack of considering capacitor degradation in reliability assessment, the impact of unforeseen sudden internal capacitor faults in forecasting CB lifetime, and the faults consequence on CB degradation. The sudden faults change the CB capacitance, which leads to reliability change. To more accurately estimate the reliability, the type of the fault needs to be detected for predicting the correct post-fault capacitance. To address these practical problems, a new CB model and reliability assessment formula covering all fault types are first presented, then, a new analog fault-detection method is presented, and a combination of online-learning long short-term memory (LSTM) and faultdetection method is subsequently performed, which adapt the sudden internal CB faults with the LSTM to correctly predict the CB degradation. To confirm the correct LSTM operation, four capacitors degradation is practically recorded for 2000-hours, and the off-line faultless degradation values predicted by the LSTM are compared with the actual data. The experimental findings validate the applicability of the proposed method. All experimental codes-data are attached.

show abstract

Probability Analysis of Reliability and Availability of Supercapacitor Battery Stack

Prodanov

Dankov

Madhzarov

2021

2021 12th National Conference With International Participation (ELECTRONICA)

View full text Add to dashboard Cite

Applying Aging Models for Reliability Assessment of Supercapacitors

Cited by 3 publications

References 7 publications

Reliability Calculation Improvement of Electrolytic Capacitor Banks Used in Energy Storage Applications Based on Internal Capacitor Faults and Degradation

Reliability Calculation Improvement of Electrolytic Capacitor Banks Used in Energy Storage Applications Based on Internal Capacitor Faults and Degradation

Adaptation of a Real-Time Deep Learning Approach With an Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles

Probability Analysis of Reliability and Availability of Supercapacitor Battery Stack

Contact Info

Product

Resources

About