Co-estimation of state-of-charge and state-of-temperature for large-format lithium-ion batteries based on a novel electrothermal model

Yu, Chao; Zhu, Jiangong; Liu, Wenxue; Dai, Haifeng; Wei, Xuezhe

doi:10.1016/j.geits.2024.100152

Cited by 4 publications

(1 citation statement)

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“…The simulation scenarios in this paper involve SOC calculations based on data with high precision and granularity, to ensure the SOC is error-free. However, SOC may be corrected in engineering applications, following suggestions given in the authors' previous articles [13].…”

Section: The Accumulated Maximum Available Powermentioning

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: The Accumulated Maximum Available Powermentioning

confidence: 99%