A Comprehensive Overview of the Impacting Factors on a Lithium-Ion-Battery’s Overall Efficiency

Kremzow-Tennie, Simeon; Scholz, Tobias; Pautzke, Friedbert; Popp, Alexander; Fechtner, Heiko; Schmuelling, Benedikt

doi:10.2478/pead-2022-0002

Cited by 7 publications

(2 citation statements)

References 82 publications

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“…Whereby the exact time and the applied current pulse to determine the resistance may vary. (Kremzow-Tennie et al, 2022;Scholz et al, 2018;Schweiger et al, 2010). Muhammad et al report a hybrid pulse power characterization (HPPC) which is capable of discriminating strong and weak cells within a duration of 2 minutes (Muhammad et al, 2019).…”

Section: Pulse Measurement Methodsmentioning

confidence: 99%

Challenges in the Real-World Evaluation of Traction Batteries at the End of their First Life

Popp,

Fechtner,

Schmuelling

et al. 2023

Proceeding of the 33rd European Safety and Reliability Conference

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Lithium-ion batteries are the most used cell technology in electric vehicles in recent years and today. Forecasts show a global supply of more than 200 GWh/y in 2030 of batteries available for reuse in second life applications. Determination of the overall status and explicitly the state of health is a difficult task, especially for municipal recycling facilities confronted with scarce information about the history and construction of the traction batteries. The frequently used technical approaches require a dismantling of the battery pack down to the cell level for an accurate condition assessment. However, for security reasons, a quick and accurate assessment is required at the pack or module level. This paper provides an overview of possible approaches to the assessment of used battery packs from receipt at the recycling facility to various measurements of the state of health determination with regard to the time required.

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Section: Pulse Measurement Methodsmentioning

confidence: 99%

Challenges in the Real-World Evaluation of Traction Batteries at the End of their First Life

Popp,

Fechtner,

Schmuelling

et al. 2023

Proceeding of the 33rd European Safety and Reliability Conference

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show abstract

“…Consequently, it is necessary to develop an optimization method to adjust the level reference values of the model to improve assessment accuracy. Third, lithium-ion batteries are susceptible to various perturbations during operation, which can result in a decline in the reliability [22,23]. Thus, to analyze the suitability of lithium-ion batteries for various perturbations, it is necessary to develop a method to simulate these perturbations.…”

Section: Introductionmentioning

confidence: 99%

A Health Assessment Method for Lithium-Ion Batteries Based on Evidence Reasoning Rules with Dynamic Reference Values

Yang,

Zhao,

Zhang

2024

Batteries

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The health assessment of lithium-ion batteries holds great research significance in various areas such as battery management systems, battery usage and maintenance, and battery economic evaluation. However, because environmental perturbations are not taken into account during the assessment, the accuracy and reliability of the assessment are limited. Thus, a health assessment model for lithium-ion batteries based on evidence reasoning rules with dynamic reference value (ER-DRV) is proposed in this paper. Firstly, considering that the data are subject to changes, dynamic reference values, real-time weights, and real-time reliability were utilized in the model to ensure the effectiveness and accuracy of the assessment. Moreover, an enhanced optimization method based on the whale optimization algorithm (WOA) was developed to improve the accuracy of the assessment model. In addition, the robustness of the ER-DRV model was studied with perturbation analysis methods. Finally, the proposed method was validated on two open lithium-ion battery datasets. The experimental results show that the health assessment method proposed in this article not only has higher accuracy and transparent reasoning process but also has strong robustness and good generalization ability.

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Digital Twins and Model-Based Design for New Vehicle Engineering

Dani,

Geiger,

Tabunshchyk

et al. 2024

Lecture Notes in Networks and Systems

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A Comprehensive Overview of the Impacting Factors on a Lithium-Ion-Battery’s Overall Efficiency

Cited by 7 publications

References 82 publications

Challenges in the Real-World Evaluation of Traction Batteries at the End of their First Life

Challenges in the Real-World Evaluation of Traction Batteries at the End of their First Life

A Health Assessment Method for Lithium-Ion Batteries Based on Evidence Reasoning Rules with Dynamic Reference Values

Digital Twins and Model-Based Design for New Vehicle Engineering

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