Effects of variability of the characteristics of single cell on the performance of a lithium-ion battery pack

Orcioni, Simone; Ricci, Adriana; Buccolini, Luca; Scavongelli, Cristiano; Conti, Massimo

doi:10.1109/wises.2017.7986926

Cited by 9 publications

(4 citation statements)

References 16 publications

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“…[6] Variability in cell capacity and resistance can create differing loads within a Li-ion battery pack, and depending on its extent, variability will inevitably impact performance, cost and safety. [7][8][9] There are a variety of sources for this variability, for instance, thermal inhomogeneities influence SOH and increase cell-to-cell variability during usage. [5,10,11] However, manufacturing variability, sometimes described as tolerance, is a significant contributor to cell-to-cell variability.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Li‐Ion Degradation Test Sample Sizes Required to Understand Cell‐to‐Cell Variability**

Dechent

Greenbank

Hildenbrand

et al. 2021

Batteries & Supercaps

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Ageing of lithium-ion batteries results in irreversible reduction in performance. Intrinsic variability between cells, caused by manufacturing differences, occurs throughout life and increases with age. Researchers need to know the minimum number of cells they should test to give an accurate representation of population variability, since testing many cells is expensive. In this paper, empirical capacity versus time ageing models were fitted to various degradation datasets for commercially available cells assuming the model parameters could be drawn from a larger population distribution. Using a hierarchical Bayesian approach, we estimated the number of cells required to be tested. Depending on the complexity, ageing models with 1, 2 or 3 parameters respectively required data from at least 9, 11 or 13 cells for a consistent fit. This implies researchers will need to test at least these numbers of cells at each test point in their experiment to capture manufacturing variability.

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Section: Introductionmentioning

confidence: 99%

Estimation of Li‐Ion Degradation Test Sample Sizes Required to Understand Cell‐to‐Cell Variability**

Dechent

Greenbank

Hildenbrand

et al. 2021

Batteries & Supercaps

View full text Add to dashboard Cite

show abstract

“…This results in a non-uniform voltage across the battery cells in series in the pack. This phenomenon can make cells to overcharge or undercharge respectively yielding to decrease in battery pack lifetime, safety hazards, and loss of pack capacity over time [29], [30]. To safeguard batteries from these and many other unforeseen issues, cell balancing or cell equalization technique is employed by the BMS to ensure that there is uniform charge level among different cell by basically dissipating excess charge as heat, or transferring the excess charge to the less charged battery cells [31].…”

Section: Battery Cell Balancingmentioning

confidence: 99%

Review of Battery Cell Balancing Methodologies for Optimizing Battery Pack Performance in Electric Vehicles

Omariba

Zhang

Sun³

2019

IEEE Access

218

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Batteries are gaining entry into every home and office for they are widely used because of their variant benefits. However, these batteries are prone to failure caused by charge imbalance in the batteries connected in either series or parallel, which can sometimes be catastrophic and hence they require to be properly monitored in a real-time manner. There exist many battery balancing schemes which are broadly grouped into either passive or active schemes. All these schemes have their own advantages and disadvantages, and hence it is upon the user to decide on which scheme will best work for them. However, research has proven that the hybrid scheme will be the best as it couples the benefits of all schemes. This study will review the various battery cell balancing methodologies and evaluate their relationship with battery performance. At present there are a few studies tackling the mechanical vibration of battery balancing performance. This study shows that battery balancing performance during long-term should be evaluated from various temperature and vibration frequencies.INDEX TERMS Battery cell balancing, electric vehicles, hybrid schemes, and performance optimization.

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“…Once all parameters have been detected, the internal battery states (SOH, DOD, SOC, SOF) are estimated and the temperature is controlled according to such conditions as working current, voltage, and temperature. This is done to prevent the battery from operating in hazardous conditions and maintains its performance for a long time [86]. However, the variations of internal parameters can be very high and, thus, affect the battery performance.…”

Section: Battery Management System Frameworkmentioning

confidence: 99%

Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles

2018

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The battery is the most ideal power source of the twenty-first century, and has a bright future in many applications, such as portable consumer electronics, electric vehicles (EVs), military and aerospace systems, and power storage for renewable energy sources, because of its many advantages that make it the most promising technology. EVs are viewed as one of the novel solutions to land transport systems, as they reduce overdependence on fossil energy. With the current growth of EVs, it calls for innovative ways of supplementing EVs power, as overdependence on electric power may add to expensive loads on the power grid. However lithium-ion batteries (LIBs) for EVs have high capacity, and large serial/parallel numbers, when coupled with problems like safety, durability, uniformity, and cost imposes limitations on the wide application of lithium-ion batteries in EVs. These LIBs face a major challenge of battery life, which research has shown can be extended by cell balancing. The common areas under which these batteries operate with safety and reliability require the effective control and management of battery health systems. A great deal of research is being carried out to see that this technology does not lead to failure in the applications, as its failure may lead to catastrophes or lessen performance. This paper, through an analytical review of the literature, gives a brief introduction to battery management system (BMS), opportunities, and challenges, and provides a future research agenda on battery health management. With issues raised in this review paper, further exploration is essential.

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Effects of variability of the characteristics of single cell on the performance of a lithium-ion battery pack

Cited by 9 publications

References 16 publications

Estimation of Li‐Ion Degradation Test Sample Sizes Required to Understand Cell‐to‐Cell Variability**

Estimation of Li‐Ion Degradation Test Sample Sizes Required to Understand Cell‐to‐Cell Variability**

Review of Battery Cell Balancing Methodologies for Optimizing Battery Pack Performance in Electric Vehicles

Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles

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