Health monitoring of lithium-ion batteries

Sood, Bhanu; Osterman, Michael; Pecht, Michael

doi:10.1109/ispce.2013.6664165

Cited by 45 publications

(28 citation statements)

References 11 publications

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“…The manufacturer did not provide detailed information due to confidentiality and intellectual property rights. Moreover, the thermal expansion of the cell also could be affected by the constraints from the casing and the mechanical magnification of ruffling [32,44]. In particular, the ruffling phenomenon is more severe in the wound cell than the stacked cell because of constrained conditions.…”

Section: Thermal Behavior Of the Cellmentioning

confidence: 99%

“…At these edges, the interface among cathode, separator, and anode films cannot move, while the rest of the jellyroll (away from the constrained edges) easily expands and bends with a periodic wavy-like profile when temperature is elevated. This bucking behavior is the most severe and thereby results in the formation of several gaps/voids between electrode films in the center region [44], especially for free-swelling conditions. This phenomenon is not unlike the behavior of a soft beam fixed at both sides and exposed to temperature variations.…”

Section: Thermal Behavior Of the Cellmentioning

confidence: 99%

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A novel thermal swelling model for a rechargeable lithium-ion battery cell

Epureanu

2016

Journal of Power Sources

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The thermal swelling of rechargeable lithium-ion battery cells is investigated as a function of the charge state and the charge/discharge rate. The thermal swelling shows significant dependency on the state of charge and the charge rate. The thermal swelling follows a quadratic form at low temperatures, and shows linear characteristics with respect to temperature at high temperatures in free-swelling conditions. Moreover, the equivalent coefficient of thermal expansion is much larger than that of each electrode and host materials, suggesting that the separator and the complex shape of the cell play a critical role in thermal expansion. Based on the experimental characterization, a novel thermal swelling model is proposed. The model introduces an equivalent coefficient of thermal expansion for the cell and also considers the temperature distribution throughout the battery by using heat transfer theory. The comparison between the proposed model and experiments demonstrates that the model accurately predicts thermal swelling at a variety of charge/discharge rates during operation and relaxation periods. The © 2015. This manuscript version is made available under the Elsevier user license http://www.elsevier.com/open-access/userlicense/1.0/ model is relatively simple yet very accurate. Hence, it can be useful for battery management applied to prolong the cycle life of cells and packs. Keywords Lithium-ion battery; phase transition; swelling; thermal expansion; the coefficient of thermal expansion 1. Introduction Concerns for energy security, instability in world oil markets, and limitations of carbon emissions have accelerated the development of eco-friendly, high-efficiency automobiles. This drives automobile industries toward the development of vehicle electrification technology.Electrified vehicles currently use lithium-ion (Li-ion) batteries as the reversible power source.Li-ion batteries have advantages such as high power/energy density, high potential, and low selfdischarge rate. They are also environmentally friendly and have a long life cycle [1][2][3].While vehicle electrification with the advent of the Li-ion batteries [4] enhances fuel efficiency and reduces CO 2 emissions, many challenges still exist when using Li-ion batteries such as their limited performance at low temperatures [5] and their thermal runaway [6]. Especially, extensive research on vehicle electrification has been driven by stringent safety standards for air and ground applications. Therefore, recent research focuses on the thermal distribution and the heat dissipation of Li-ion battery packs [7,8] as elevated temperatures not only can cause thermal runaway but can also degrade battery life. A variety of heat transfer models have been created

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Section: Thermal Behavior Of the Cellmentioning

confidence: 99%

Section: Thermal Behavior Of the Cellmentioning

confidence: 99%

A novel thermal swelling model for a rechargeable lithium-ion battery cell

Epureanu

2016

Journal of Power Sources

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“…In addition, the signal amplitude, in Figure 3c, generally increases before cycle 50, followed by a fluctuation after cycle 50. A sharp decrease of signal amplitude occurs at cycle 136, which indicates possible gas generation inside the battery [21].…”

Section: Ultrasonic Results For the Cycling Testsmentioning

confidence: 99%

“…There are two modes for the ultrasonic inspection. The first is the pulse-echo mode, where the ultrasonic signal is sent and received by the same transducer, and the second is the through-transmission mode, where the ultrasonic signal transmits through the object and is received by the second transducer [21]. The through-transmission mode needs two transducers that are placed on opposite sides of the battery, which requires more access to the battery than the pulse-echo mode and increases the cost.…”

Section: Ultrasonic Sensing For Lithium-ion Batteriesmentioning

confidence: 99%

Ultrasonic Health Monitoring of Lithium-Ion Batteries

Wang

Yung

et al. 2019

Electronics

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Because of the complex physiochemical nature of the lithium-ion battery, it is difficult to identify the internal changes that lead to battery degradation and failure. This study develops an ultrasonic sensing technique for monitoring the commercial lithium-ion pouch cells and demonstrates this technique through experimental studies. Data fusion analysis is implemented using the ultrasonic sensing data to construct a new battery health indicator, thus extending the capabilities of traditional battery management systems. The combination of the ultrasonic sensing and data fusion approach is validated and shown to be effective for degradation assessment as well as early failure indication.

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“…SoH estimation is the core of ba ery management. Researchers have been using various techniques, such as Kalman lter and its variations [45], support vector machine [12], fuzzy logic systems [44], non-linear observers [30], Coulomb counting [29], ultrasonic inspection [36], etc., to estimate ba ery SoH based on a wide range of mathematic/circuit/empirical models [12,25,45].…”

Section: Related Workmentioning

confidence: 99%

Battery state-of-health estimation for mobile devices

Kim

Shin

et al. 2017

Proceedings of the 8th International Conference on Cyber-Physical Systems

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Insu cient support of electric current sensing on commodity mobile devices leads to inaccurate estimation of their ba ery's stateof-health (SoH), which, in turn, shuts them o unexpectedly and accelerates their ba ery fading. In this paper, we design V-BASH, a new ba ery SoH estimation method based only on their voltages and is compatible to commodity mobile devices. V-BASH is inspired by the physical phenomenon that the relaxing ba ery voltages correlate to ba ery SoH. Moreover, it is enabled on mobile devices with a common usage pa ern of most users frequently taking a long time to charge their devices. e design of V-BASH is guided by 2, 781 empirically collected relaxing voltage traces with 19 mobile device ba eries. We evaluate V-BASH using both laboratory experiments and eld tests on mobile devices, showing a <6% error in SoH estimation. CCS CONCEPTS •Computer systems organization →Embedded so ware;

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Health monitoring of lithium-ion batteries

Cited by 45 publications

References 11 publications

A novel thermal swelling model for a rechargeable lithium-ion battery cell

A novel thermal swelling model for a rechargeable lithium-ion battery cell

Ultrasonic Health Monitoring of Lithium-Ion Batteries

Battery state-of-health estimation for mobile devices

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