Micro-Short-Circuit Diagnosis for Series-Connected Lithium-Ion Battery Packs Using Mean-Difference Model

Gao, Wenkai; Zheng, Yuejiu; Ouyang, Minggao; Li, Jianqiu; Lai, Xin; Hu, Xiaosong

doi:10.1109/tie.2018.2838109

Cited by 189 publications

(56 citation statements)

References 27 publications

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“…ISC fault and thermal fault can be characterized by the S OC decrease and ohmic internal resistance increase, respectively. For different fault models, the filter [17], observer [18] o r least-squares algorithm [36] need to be designed accordingly to extract key states or parameters. Theoretically, artificial intelligence al gorithms can also be applied to extract fault features as an alternative to the physics-based model.…”

Section: Feature Extractionmentioning

confidence: 99%

“…It should be noted that most battery fault features are at the cell level. In the case of series-connected battery modules, the difference of SOC as well as ohmic internal resistance [36], [138] in the mean-difference model (MDM) of the battery pack can be used as effective ISC fault features.…”

Section: Overdischargementioning

confidence: 99%

“…Based on a statistical method, the ISC fault is determined by comparing the estimated and calculated parameters with the threshold. Given that the micro-short circuit (MSC) causes the SOC difference to increase continuously, Gao et al [36] estimated the SOC difference based on the MDM with an EKF. The extra depleting current is ident ified, and the short circuit resistance is detected and calculated.…”

Section: Model-based Algorithmmentioning

confidence: 99%

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Advanced Fault Diagnosis for Lithium-Ion Battery Systems

Hu¹,

Zhang²,

Liu³

et al. 2020

Preprint

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Lithium-ion batteries have become the mainstream energy storage solution for many applications, such as electric vehicles and smart grids. However, various faults in a lithium-ion battery system (LIBS) can potentially cause performance degradation and severe safety issues. Developing advanced fault diagnosis technologies is becoming increasingly critical for the safe operation of LIBS. This paper provides a comprehensive review of fault mechanisms, fault features, and fault diagnosis of various faults in LIBS, including internal battery faults, sensor faults, and actuator faults. Future trends in the development of fault diagnosis technologies for a safer battery system are presented and discussed. IntroductionAs one of the most promising energy storage systems, lithium-ion batteries have been widely used in various applications, such as electric vehicles (EVs) and smart grids. Currently, lithium-ion batteries have become the mainstream energy storage solution, owing to their inherent benefits such as high energy density, high power density, and long lifespan. However, the potential r isks, due to the abusive operating conditions and harsh environment, pose a huge challenge to the safety of Li-ion battery systems (LIBSs). A real-time effective battery management system (BMS) is critical to ensure the safety of LIBSs. BMS has several functionalities, such as state of charge monitoring, thermal management, charging management, and equalization management. It also tracks the health status and monitors the potential faults of LIBS. Without suitable diagnostics and fault handling, a minor fault could eventually lead to severe damages of LIBS [1]. The importance of the fault diagnostics and fault handling has been demonstrated repeatedly in several severe incidents recently [2]- [4].There are different fault modes in the LIBS, and fault mechanisms are usually very complex. From a control perspective, these fault modes can be divided into battery fault, sensor fault, and actuator fault. The battery faults, which include overcharge , overdischarge, overheat, external short circuit (ESC), internal short circuit (ISC), electrolyte le akage, battery swelling, battery accelerated degradation, and thermal runaway (TR), are the most critical faults in the LIBS. These faults are also intertwine d. Overcharge and overdischarge could lead to various undesirable battery side reactions, resultin g in accelerated degradation. These side reactions and gases generated by the chain reactions during TR may eventually cause the battery swelling. Such a swellin g along with mechanical damage may, in turn, lead to electrolyte leakage. The ISC is typically caused by separator failure due to manufacturing defects, overheat, mechanical collisions, or penetration by metal dendrites or mechanical punctures. Fortunatel y, the Joule heat generated by ISC develops into TR only when the equivalent ISC resistance reac hes a very low level [5]. Abnormal heat generation occurs under various conditions, such as side reactions during overcharge/over -di...

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Section: Feature Extractionmentioning

confidence: 99%

Section: Overdischargementioning

confidence: 99%

Section: Model-based Algorithmmentioning

confidence: 99%

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Advanced Fault Diagnosis for Lithium-Ion Battery Systems

Hu¹,

Zhang²,

Liu³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

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“…The most intuitive manifestation is voltage inconsistency, while the other is internal resistance inconsistency. These inconsistencies cause the actual capacity of the battery packs to be less than the theoretical capacity, which greatly reduces their service life [5,[15][16][17].…”

Section: Introductionmentioning

confidence: 99%

“…However, the consistency level among cells is already higher even after screening. Cell inconsistency in a battery pack can lead a cell or some cells to be overcharged, undercharged, or even overdischarged, causing serious security problems [5,16,18]. In order to maximize battery life and utilization, battery equalization technology is widely used to reduce the impact of battery inconsistencies.…”

Section: Introductionmentioning

confidence: 99%

A Novel Composite Equalizer Based on an Additional Cell for Series-Connected Lithium-Ion Cells

et al. 2018

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Cell inconsistency can lead to poor performance and safety hazards. Therefore, cell equalizer is essentially required to prevent the series-connected cells from overcharging, undercharging, and overdischarging. Among current equalization schemes, passive equalizer has a continuously wasting energy with low equalization efficiency, and active equalizer has high cost with complex circuit structure. In this study, a novel composite equalizer based on an additional cell with low complexity is presented. This method combines a passive equalizer and an active equalizer. Firstly, the configuration and circuit of our proposed composite equalizer are introduced, and the equalization principle is analyzed. On this basis, the control strategy and algorithm of the composite equalizer are further proposed. Finally, the composite equalizer is verified through simulation and experiment in various cases. The study results show that this method improves both the consistency level and the available capacity of the battery pack. Moreover, our proposed equalizer can overcome the shortcomings of commonly used equalizer and combining the advantages of different equalizer to maximize the equalization efficiency with a simpler equalizer structure.

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Commercialization of Lithium Battery Technologies for Electric Vehicles

Zeng

El‐Hady

et al. 2019

Advanced Energy Materials

1,023

555

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The currently commercialized lithium-ion batteries have allowed for the creation of practical electric vehicles, simultaneously satisfying many stringent milestones in energy density, lifetime, safety, power, and cost requirements of the electric vehicle economy. The next wave of consumer electric vehicles is just around the corner. Although widely adopted in the vehicle market, lithium-ion batteries still require further development to sustain their dominating roles among competitors. In this review, the authors survey the state-of-the-art active electrode materials and cell chemistries for automotive batteries. The performance, production, and cost are included. The advances and challenges in the lithium-ion battery economy from the material design to the cell and the battery packs fitting the rapid developing automotive market are discussed in detail. Also, new technologies of promising This article is protected by copyright. All rights reserved.2 battery chemistries are comprehensively evaluated for their potential to satisfy the targets of future electric vehicles.

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Micro-Short-Circuit Diagnosis for Series-Connected Lithium-Ion Battery Packs Using Mean-Difference Model

Cited by 189 publications

References 27 publications

Advanced Fault Diagnosis for Lithium-Ion Battery Systems

Advanced Fault Diagnosis for Lithium-Ion Battery Systems

A Novel Composite Equalizer Based on an Additional Cell for Series-Connected Lithium-Ion Cells

Commercialization of Lithium Battery Technologies for Electric Vehicles

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