Design and Control of AC Current Injector for Battery EIS Measurement

Benshatti, Abdulraouf; Islam, Saiful; Link, T.; Park, Sung-Yeul; Park, Sung Min

doi:10.1109/apec39645.2020.9124463

Cited by 10 publications

(5 citation statements)

References 7 publications

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“…Firstly, according to the modeling ideas of single influencing factor model and multi-stress model, a battery life capacity model considering multiple factors is established [9].Secondly, the overall attenuation characteristics of battery capacity are determined based on battery life attenuation experiments, and the results of multi-factor models are evaluated accordingly. The formation mechanism of SEI of lithium-ion batteries was mathematically modeled to solve the problem of inconsistency between the actual decay rate and the model description, and the SEI [10]. Finally, the multi-factor model is substituted into the overall model of SEI to obtain a semi-empirical life attenuation model, and the experimental results show that the model has a high degree of fitting to the attenuation data, and the estimation error of battery life attenuation is kept within 5%.…”

Section: Resultsmentioning

confidence: 99%

Decay model of energy storage battery life under multiple influencing factors of grid dispatching

Huang

et al. 2023

SHS Web of Conf.

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Energy storage batteries work under constantly changing operating conditions such as temperature, depth of discharge, and discharge rate, which will lead to serious energy loss and low utilization rate of the battery, resulting in a sharp attenuation of life, and the battery often fails before the end of its service life. Battery replacement leads to increasing energy storage costs, and in order to ensure the efficient, safe and reliable operation of batteries under complex working conditions of the power grid, effective management of batteries is required. The battery model is the theoretical basis of the management algorithm, and life prediction is the key technology to ensure battery safety. In view of the above practical application requirements, this paper studies the dynamic modeling of energy storage battery life based on multi-parameter information, and the results show that the proposed life model accurately reflects the battery life under multi-parameter information.

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Section: Resultsmentioning

confidence: 99%

Decay model of energy storage battery life under multiple influencing factors of grid dispatching

Huang

et al. 2023

SHS Web of Conf.

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“…Fig. 22(h) shows an implementation example of method C1 [214]. Here, an inverter is used to generate the excitation on batteries.…”

Section: ) Derived Methods Based On Type Cmentioning

confidence: 99%

“…22(c), a sinusoidal perturbation is added to the steady-state duty cycle of a dc/dc converter [208]. Similarly, the square wave [214], multi-sine [225], [226], and white noise (WN) [227] signals can also be used, whose implementations are similar to that in Fig. 22(c).…”

Section: ) Implementation Of Bim Based On Interface Converters A) Bas...mentioning

confidence: 99%

“…Similar to method B, only a few kinds of scheme C are presented in actual applications. For example, in [214], [237], an additional dc-ac converter is used to generate a sinusoidal disturbance signal on batteries (i.e., method C1), as shown in Fig. 22(h).…”

Section: ) Implementation Of Bim Based On Balancing Circuits and Addi...mentioning

confidence: 99%

“…g) Although it is feasible to design a BIM scheme based on additional PE circuits (C1, C2, and C3-based schemes), the cost and complexity are relatively high. Few pieces of literature focus on this point [214].…”

Section: ) Comparison and Remarksmentioning

confidence: 99%

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Power Electronics-Based Safety Enhancement Technologies for Lithium-Ion Batteries: An Overview From Battery Management Perspective

Zhao

et al. 2023

IEEE Trans. Power Electron.

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Safety enhancement for lithium-ion batteries (LIBs) has received a lot of attention from academic and industrial fields. However, there is a lack of overview from the perspective of the application power electronics (PEs) in the systems. This article gives an overview of PE-based safety enhancement technologies for LIBs, mainly focusing on battery management. It introduces the latest advances in battery protection, balancing, monitoring, and lifetime improvement, all based on PE technologies. Detailed discussion and future research opportunities are given. This article aims to provide a reference for PE researchers who want to make some efforts in LIB safety.

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