Accelerated cycle life testing and capacity degradation modeling of LiCoO2-graphite cells

Diao, Weiping; Saxena, Saurabh; Pecht, Michael

doi:10.1016/j.jpowsour.2019.226830

Cited by 121 publications

(70 citation statements)

References 36 publications

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“…However, noting that a battery is rarely fully charged or discharged in real-life industrial applications, the selected features should be extracted without using the data segments of high or low state-of-charge (SoC). In addition, as the battery SoC is inconvenient to be estimated when considering the joint influence of aging and temperature, 41 , 42 the features that are strongly coupled with battery SoC should be avoided.…”

Section: Methodsmentioning

confidence: 99%

Recovering large-scale battery aging dataset with machine learning

Tang

Liu

et al. 2021

Patterns

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Section: Methodsmentioning

confidence: 99%

Recovering large-scale battery aging dataset with machine learning

Tang

Liu

et al. 2021

Patterns

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“…Conventional wisdom suggests that the operation of Li-ion batteries (LIBs) should be limited in a narrow temperature range around RT (15-35 °C) to achieve the optimum performance [5,[13][14][15][16]. At low temperatures, the main concern is the risk of lithium plating due to sluggish battery kinetics [6,15,[17][18][19]. On the other hand, the accelerated side reactions at high temperatures, e.g., severe solid electrolyte interphase (SEI) formation, cause fast capacity degradation [19][20][21][22][23][24][25].…”

Section: The Optimal Temperaturementioning

confidence: 99%

A review of thermal physics and management inside lithium-ion batteries for high energy density and fast charging

Zeng

Chalise

Lubner

et al. 2021

Energy Storage Materials

129

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Traditionally it has been assumed that battery thermal management systems should be designed to maintain the battery temperature around room temperature. That is not always true as Lithium-ion battery (LIB) R&D is pivoting towards the development of high energy density and fast charging batteries. Therefore, it is necessary to have a comprehensive review of thermal considerations for LIBs targeted for high energy density and fast charging, i.e., the optimal thermal condition, thermal physics (heat transport and generation) inside the battery, and thermal management strategies. As the energy density and charge rate increases, the optimal battery temperature can shift to be higher than room temperature. To improve the temperature uniformity and avoid excessive internal temperature rise, heat transfer inside the battery needs to be enhanced, and reducing the thermal contact resistance between the electrodes and separator can significantly increase the effective thermal conductivity of batteries. In the first part of the review various challenges and latest developments related to thermal transport and properties of LIBs are discussed. In the second part of the review various sources of heat generation inside LIBs and various approaches to minimizing battery heat generation are summarized. The importance of heat of mixing due to ion diffusion during fast charging is also highlighted. Finally, a summary of latest advancement on smart control of internal temperature of LIBs is discussed as depending on the ambient temperature and the optimal temperature; the battery heat needs to be retained or dissipated to elevate or avoid temperature rise. Lithium-ion battery; Optimal battery temperature; High energy density; Fast charging; Battery thermal management

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“…The cycle life at multiple testing conditions, such as the operating limit (maximum C-rate and highest and lowest temperature), is recommended for inclusion in the datasheet. In this way, customers understand the cycle life at various loading conditions and predict the lifetime for a targeted application [41,42].…”

Section: Cycle Lifementioning

confidence: 99%

Development of an Informative Lithium-Ion Battery Datasheet

2021

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Lithium-ion battery datasheets, also known as specification sheets, are documents that battery manufacturers provide to define the battery’s function, operational limit, performance, reliability, safety, cautions, prohibitions, and warranty. Product manufacturers and customers rely on the datasheets for battery selection and battery management. However, battery datasheets often have ambiguous and, in many cases, misleading terminology and data. This paper reviews and evaluates the datasheets of 25 different lithium-ion battery types from eleven major battery manufacturers. Issues that customers may face are discussed, and recommendations for developing an informative and valuable datasheet that will help customers procure suitable batteries are presented.

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Accelerated cycle life testing and capacity degradation modeling of LiCoO2-graphite cells

Cited by 121 publications

References 36 publications

Recovering large-scale battery aging dataset with machine learning

Recovering large-scale battery aging dataset with machine learning

A review of thermal physics and management inside lithium-ion batteries for high energy density and fast charging

Development of an Informative Lithium-Ion Battery Datasheet

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