The role of cell geometry when selecting tab or surface cooling to minimise cell degradation

Dondelewski, O.; O’Connor, Teddy Szemberg; Zhao, Yan; Hunt, Ian; Holland, A.; Hales, Alastair; Offer, Gregory J.; Patel, Yatish

doi:10.1016/j.etran.2020.100073

Cited by 22 publications

(13 citation statements)

References 26 publications

(32 reference statements)

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“…Lithium-ion cells generate heat during use that must be removed to avoid temperature build up [1]. Unacceptably high cell temperatures degrade the cell, reducing battery life times, and, in extremis, can lead to dangerous thermal runaway [2]. Thermal control is becoming increasingly critical as cells are used in high power applications such as electric vehicles, where high peak currents generate greater amounts of heat.…”

Section: Hardware In Contextmentioning

confidence: 99%

“…The larger deviation observed for the A123 cell (30%) represents the inadequacy of this cell to be tab cooled, and thus the difficulty in measuring a consist and sensible value for the tab CCC. The poor cell design is discussed at length in [2]. The A123 has small tabs, located very close to one another, at one end of a large electrode-stack.…”

Section: Data Processingmentioning

confidence: 99%

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A system for determining Li-ion cell cooling coefficients

et al. 2022

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Current battery data sheets focus on battery energy and power density, neglecting thermal performance. This leads to reduced system level efficiency since cells with poor thermal performance require larger, heavier cooling systems to maintain cell temperatures in a suitable range. To address this a new metric, the Cell Cooling Coefficient (CCC), has been developed and it's use as a tool for appropriate cell selection has been demonstrated. It also allows the pack designer to calculate which cooling direction method is most suitable by comparing CCC values for tab and surface cooling.

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Section: Hardware In Contextmentioning

confidence: 99%

Section: Data Processingmentioning

confidence: 99%

A system for determining Li-ion cell cooling coefficients

et al. 2022

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“…Note that a rapid change of the battery temperature by a large external heating or cooling power leads to a large temperature gradient. That indicates the optimal battery temperature depends on a balance between the temperature rise and the temperature uniformity [9,[93][94][95][96][97].…”

Section: Temperature Uniformitymentioning

confidence: 99%

“…For cylindrical and pouch cells, surface cooling can dissipate heat along the cross-plane direction and reduce the temperature rise. Accordingly, a non-negligible temperature gradient develops across the cell given the low crossplane k. Recently, Offer et al proposed a tab cooling method, i.e., using cell tabs to remove battery heat [9,[93][94][95][96][97]. Removing heat through the tabs cooled the battery evenly and decreased the crossplane temperature gradient as tabs were connected to each current collector with a high k. However, tab cooling typically led to a higher temperature rise than surface cooling since the crosssection area of tabs is much smaller than the battery surface area.…”

Section: Thermal Management Strategiesmentioning

confidence: 99%

“…As a result, the larger temperature rise in cells by tab cooling accelerates aging due to severe side reactions at high temperatures, which dominates over the aging due to nonuniform SOCs in electrodes associated with non-uniform temperature distributions. A recent work by Dondelewski et al verified that surface cooling was advantageous over tab cooling for the long cycle life of common commercial pouch cells [97].…”

Section: Thermal Management Strategiesmentioning

confidence: 99%

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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

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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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Digital Twin Enables Rational Design of Ultrahigh‐Power Lithium‐Ion Batteries

Zhang¹,

Ren

Ming³

et al. 2022

Advanced Energy Materials

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With the widespread applications of electric vehicles, power grid stabilization, and high‐pulsed power loads, high‐power lithium‐ion batteries (LIBs) are in urgent demand. However, the existing experimental‐based design of high‐power batteries is usually costly and inefficient, and provides limited information on the complex physicochemical processes inside the batteries. Digital twin concept is promising for capturing the batteries’ electrochemical performance, and optimizing the power capability of LIBs. Here, an electrochemical‐thermal coupled model is developed as a digital twin model for rational design of ultrahigh‐power LiFePO4/graphite LIBs. The model can accurately predict the batteries’ performance and help to predetermine the optimal parameters to achieve an ultrahigh power capability. After model‐guided optimization, the battery shows a high energy density of 92.38 Wh kg−1 at an ultrafast discharging current of 50 C and can withstand 150 C pulse discharging tests. Notably, the digital twin model can reveal experimentally inaccessible time‐ and space‐resolved information and identify the rate‐determining steps inside the battery. Hence, model‐driven optimization of ultrahigh‐power LiFePO4/graphite batteries is successfully realized aiming at the critical factors in the rate‐determining steps. The work provides an instructive design of ultrahigh‐power LiFePO4/graphite batteries, which might guide the future direction to boost the power capability of LIBs.

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The role of cell geometry when selecting tab or surface cooling to minimise cell degradation

Cited by 22 publications

References 26 publications

A system for determining Li-ion cell cooling coefficients

A system for determining Li-ion cell cooling coefficients

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

Digital Twin Enables Rational Design of Ultrahigh‐Power Lithium‐Ion Batteries

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