Reliability analysis of battery energy storage system for various stationary applications

Bakeer, Abualkasim; Chub, Andrii; Shen, Yanfeng; Sangwongwanich, Ariya

doi:10.1016/j.est.2022.104217

Cited by 22 publications

(15 citation statements)

References 28 publications

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Section: Bess Classifications and Characteristicsmentioning

confidence: 99%

“…An application-specific battery degradation study considering three applications, i.e., frequency containment reserve, increased self-consumption, and peak power shaving, was carried out in [47]. The study in [47] showed that battery degradation affects most of the peak power shaving applications. The component reliability of BESS was studied in [47] using a life cycle bathtub curve, and it was derived that the highest chance of failure is the DC link capacitor among the the components of the BESS.…”

Section: Bess Classifications and Characteristicsmentioning

confidence: 99%

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Battery Energy Storage Systems: A Review of Energy Management Systems and Health Metrics

Nazaralizadeh,

Banerjee,

Srivastava

et al. 2024

Energies

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With increasing concerns about climate change, there is a transition from high-carbon-emitting fuels to green energy resources in various applications including household, commercial, transportation, and electric grid applications. Even though renewable energy resources are receiving traction for being carbon-neutral, their availability is intermittent. To address this issue to achieve extensive application, the integration of energy storage systems in conjunction with these resources is becoming a recommended practice. Additionally, in the transportation sector, the increased demand for EVs requires the development of energy storage systems that can deliver energy for rigorous driving cycles, with lithium-ion-based batteries emerging as the superior choice for energy storage due to their high power and energy densities, length of their life cycle, low self-discharge rates, and reasonable cost. As a result, battery energy storage systems (BESSs) are becoming a primary energy storage system. The high-performance demand on these BESS can have severe negative effects on their internal operations such as heating and catching on fire when operating in overcharge or undercharge states. Reduced efficiency and poor charge storage result in the battery operating at higher temperatures. To mitigate early battery degradation, battery management systems (BMSs) have been devised to enhance battery life and ensure normal operation under safe operating conditions. Some BMSs are capable of determining precise state estimations to ensure safe battery operation and reduce hazards. Precise estimation of battery health is computed by evaluating several metrics and is a central factor in effective battery management systems. In this scenario, the accurate estimation of the health indicators (HIs) of the battery becomes even more important within the framework of a BMS. This paper provides a comprehensive review and discussion of battery management systems and different health indicators for BESSs, with suitable classification based on key characteristics.

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Section: Bess Classifications and Characteristicsmentioning

confidence: 99%

Section: Bess Classifications and Characteristicsmentioning

confidence: 99%

Battery Energy Storage Systems: A Review of Energy Management Systems and Health Metrics

Nazaralizadeh,

Banerjee,

Srivastava

et al. 2024

Energies

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“…23 [124]. As an example, [125] combines handbook-driven assessment using MIL- HDBK-217 handbook and model-based method using Coffin-Manson-Arrhenius model in order to take into account both models along with IEC 62380 handbook. Using a hybrid method provides a more precise and comprehensive lifetime prediction and makes it possible to benefit from the merits of each technique and overcome its deficiencies.…”

Section: ) Hybrid Lifetime Predictionmentioning

confidence: 99%

An Overview of Lifetime Management of Power Electronic Converters

et al. 2022

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An expected lifetime of converters is of great importance for optimal decision-making in the planning of modern Power Electronic (PE) systems. Hence, the lifetime management of power electronic systems has attracted a lot of attention in academia and industry. This paper is a guideline for managing the lifetime of power converters. Analyzing the different kinds of failures, failure modes and their corresponding mechanisms are investigated in the first section along with the failure data needed as input parameters of the assessment. In the second section, lifetime prediction in two aspects of component-level and system level is discussed and all the possible techniques to achieve them are investigated and compared. All the steps required to predict the lifetime in the component-level including electrothermal modeling, cycle counting, lifetime model, damage accumulation, parameter estimation, and lifetime distribution are described and then system level methods consisting of reliability block diagrams, fault-tree analysis, and Markov chains are examined and compared. The last section contains the roadmap of the lifetime extension including the reliable design and condition monitoring. INDEX TERMSReliability, Lifetime management, Lifetime analysis, Lifetime prediction, Lifetime extension, Empirical model, Physics of failure, failure mechanism FIGURE 1. Guideline of the reliability of power electronic systems.

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“…Stationary tubular plate batteries of type Ortsfeste Panzerplatten Verschlossen OPzV, according to Deutsche Dgs et al [30], are defined as those that have a standard gel electrolyte, which circulates through permeable tubes in energy systems, ensuring that there is a high resistance to the cycle. They are designed for non-moving applications, with medium-high consumption, continuous use, and moderate current peaks [2], [31]; therefore, they can reduce stability problems induced by variables in the generation of photovoltaic energy [32].…”

Section: Stationary Batteriesmentioning

confidence: 99%

Application of the Delphi Method for the identification of relevant variables in the development of low-power photovoltaic solar projects in Colombia

Llanos

Viviescas²,

Pineda

2022

ing. Solidar

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Introduction: This paper is the product of the investigation “Identification of relevant variables in the development of photovoltaic solar projects in Colombia” developed at the Universidad Distrital Francisco José de Caldas (UDFJC) between 2020 and 2021. Due to the increase in the number of photovoltaic energy projects in Colombia, it is necessary to quantify the level of relevance related with the factors involved in order to optimize the planning and execution processes. Methods: In this research, the Delphi methodology is applied to evaluate a set of variables selected from literature, putting them to an evaluation by a group of experts with the purpose of quantifying the relationship, under a subjective judgment, between those variables and parameters immersed in low power photovoltaic solar projects in Colombia. Together with the Delphi method, the Torgerson Model was used to quantify what experts said, in order to determine which variables are the most relevant ones to the experts. Subsequently, the validation of these answers is carried out with the application of a second evaluative stage throughout the application of structured instruments. Resultados: Luego de obtener el consenso general, se analizan los resultados con el ideal de identificar las variables que obtuvieron un mayor nivel de relevancia, en las cuales se identificaron seis variables relevantes. Conclusiones: Este trabajo muestra cómo los resultados de los procesos de investigación obtienen las variables más relevantes, siendo 6 variables en total, y se analiza su impacto. Originalidad: Aplicando el método Delphi, es posible encontrar las variables más relevantes en el desarrollo de proyectos solares fotovoltaicos de baja potencia en Colombia, haciendo de este trabajo un elemento importante en el avance de las energías renovables. Limitación: No se logró una muestra masiva de resultados por la dificultad de contactar a los profesionales adecuados en el área analizada.

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Reliability analysis of battery energy storage system for various stationary applications

Cited by 22 publications

References 28 publications

Battery Energy Storage Systems: A Review of Energy Management Systems and Health Metrics

Battery Energy Storage Systems: A Review of Energy Management Systems and Health Metrics

An Overview of Lifetime Management of Power Electronic Converters

Application of the Delphi Method for the identification of relevant variables in the development of low-power photovoltaic solar projects in Colombia

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