Lithium-ion batteries fault diagnosis based on multi-dimensional indicator

Xiao, Wei; Miao, Shi-Xing; Jin, Jia; Zhu, Qi‐Zhi; Huang, Y.

doi:10.1049/icp.2021.2544

Cited by 6 publications

(2 citation statements)

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“…When safety risks escalate, batteries are prone to exhibiting "capacity diving." The predictive method has been proposed in the authors' previous papers [19]. Other common fault diagnosis studies can also be found in the previous related articles [20,21].…”

Section: Rolling Optimization Process For Long-time Operational Scena...mentioning

confidence: 99%

A Novel Differentiated Control Strategy for Energy Storage System That Minimizes Battery Aging Cost Based on Multiple Health Features

Xiao,

Jia,

Zhong

et al. 2024

Preprint

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In large-capacity energy storage systems, instructions are decomposed typically using an equalized power distribution strategy, where clusters/modules operate at the same power and durations. When dispatching shifts from stable single conditions to intricate coupled conditions, this distribution strategy inevitably results in increased inconsistency and hastened system aging. This paper presents a novel differentiated power distribution strategy comprising three control variables: the rotation status, the operating boundaries for both Depth of Discharge (DOD) and C-rates (C) within a control period. The proposed strategy integrates an aging cost prediction model developed to express the mapping relationship between these control variables and aging costs. Additionally, it incorporates the multi-colony particle swarm optimization (Mc-PSO) algorithm into the optimization model to minimize aging costs. The aging cost prediction model consists of three functions: predicting health features (HFs) based on the cumulative charge/discharge throughput quantity and operating boundaries, characterizing HFs as comprehensive scores, and calculating aging costs using both comprehensive scores and residual equipment value. Further, we elaborated on the engineering application process for the proposed control strategy. In the simulation scenarios, this strategy prolonged the service life by 14.62%, reduced the overall aging cost by 6.61%, and improved module consistency by 21.98%, compared with the traditional equalized distribution strategy. In summary, the proposed strategy proves effective in elongating service life, reducing overall aging costs, and increasing the benefit of energy storage systems in particular application scenarios.

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Section: Rolling Optimization Process For Long-time Operational Scena...mentioning

confidence: 99%

A Novel Differentiated Control Strategy for Energy Storage System That Minimizes Battery Aging Cost Based on Multiple Health Features

Xiao,

Jia,

Zhong

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The key HFs to be considered include the "capacity diving" risk [17], temperature rise rate [18], and internal short-circuit resistance [19], all of which are strongly linked to the risk of thermal runaway. When safety risks escalate, batteries are prone to exhibiting "capacity diving" [20]. Other common fault diagnosis studies, such as sensor fault [21], overcharge/discharge [22], actuator fault [23], external short circuit [24], overheat [25], et al, have also been studied by many scholars.…”

Section: Rolling Optimization Process For Long-time Operational Scena...mentioning

confidence: 99%

A Novel Differentiated Control Strategy for an Energy Storage System That Minimizes Battery Aging Cost Based on Multiple Health Features

Xiao,

Jia,

Zhong

et al. 2024

Batteries

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In large-capacity energy storage systems, instructions are decomposed typically using an equalized power distribution strategy, where clusters/modules operate at the same power and durations. When dispatching shifts from stable single conditions to intricate coupled conditions, this distribution strategy inevitably results in increased inconsistency and hastened system aging. This paper presents a novel differentiated power distribution strategy comprising three control variables: the rotation status, and the operating boundaries for both depth of discharge (DOD) and C-rates (C) within a control period. The proposed strategy integrates an aging cost prediction model developed to express the mapping relationship between these control variables and aging costs. Additionally, it incorporates the multi-colony particle swarm optimization (Mc-PSO) algorithm into the optimization model to minimize aging costs. The aging cost prediction model consists of three functions: predicting health features (HFs) based on the cumulative charge/discharge throughput quantity and operating boundaries, characterizing HFs as comprehensive scores, and calculating aging costs using both comprehensive scores and residual equipment value. Further, we elaborated on the engineering application process for the proposed control strategy. In the simulation scenarios, this strategy prolonged the service life by 14.62%, reduced the overall aging cost by 6.61%, and improved module consistency by 21.98%, compared with the traditional equalized distribution strategy. In summary, the proposed strategy proves effective in elongating service life, reducing overall aging costs, and increasing the benefit of energy storage systems in particular application scenarios.

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Data-Driven Fault Diagnosis Research and Software Development Applications for Energy Storage Stations

Wu,

Li,

Liu

et al. 2024

Lecture Notes in Electrical Engineering

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Lithium-ion batteries fault diagnosis based on multi-dimensional indicator

Cited by 6 publications

References 0 publications

A Novel Differentiated Control Strategy for Energy Storage System That Minimizes Battery Aging Cost Based on Multiple Health Features

A Novel Differentiated Control Strategy for Energy Storage System That Minimizes Battery Aging Cost Based on Multiple Health Features

A Novel Differentiated Control Strategy for an Energy Storage System That Minimizes Battery Aging Cost Based on Multiple Health Features

Data-Driven Fault Diagnosis Research and Software Development Applications for Energy Storage Stations

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