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Journal ArticleDOI

Model-based real-time thermal fault diagnosis of Lithium-ion batteries

TL;DR: In this article, a two-state thermal model describing the dynamics of the surface and the core temperature of a battery cell is proposed to diagnose thermal faults in Li-ion batteries.
About: This article is published in Control Engineering Practice.The article was published on 2016-11-01 and is currently open access. It has received 83 citations till now. The article focuses on the topics: Battery (electricity) & Fault detection and isolation.
Citations
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Journal ArticleDOI
Yang Zhao1, Peng Liu1, Zhenpo Wang1, Lei Zhang1, Jichao Hong1 
TL;DR: Applying the neural network algorithm, this paper combines fault and defect diagnosis results with big data statistical regulation to construct a more complete battery system fault diagnosis model.

226 citations

Journal ArticleDOI
TL;DR: A comprehensive review of the mechanisms, features, and diagnosis of various faults in LIBSs, including internal battery faults, sensor faults, and actuator faults are provided.
Abstract: Lithium (Li)-ion batteries have become the mainstream energy storage solution for many applications, such as electric vehicles (EVs) and smart grids. However, various faults in a Li-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 article provides a comprehensive review of the mechanisms, features, and diagnosis of various faults in LIBSs, 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.

213 citations


Additional excerpts

  • ...For the quantitative analysis of faults, certain parameters of the battery model are regarded as fault features, such as the ISC equivalent resistance [129] and the thermal model parameters [63], [130] related to convective cooling resistance faults, internal thermal resistance faults, and TR faults....

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Journal ArticleDOI
TL;DR: This review gives a comprehensive overview of various temperature measurement methods that can be used for temperature indication of Li-ion batteries.

198 citations

Journal ArticleDOI
TL;DR: The transition from conventional LIB system towards higher smartness and the incurred advantages/challenges are overviewed, and the potential change of system-level smart battery integration is further discussed as an open outlook.

156 citations

Journal ArticleDOI
TL;DR: Online fault diagnosis for external short circuit (ESC) of LiB packs is investigated and an online model-based scheme is proposed to diagnose ESC faults of battery packs and has shown great generalization ability.
Abstract: Battery safety is one of the most crucial issues in the utilization of lithium-ion batteries (LiBs) for all-climate electric vehicles. Short circuit, overcharge, and overheat are three common field failures of LiBs. In this paper, online fault diagnosis for external short circuit (ESC) of LiB packs is investigated. The experiments are carried out to obtain and compare ESC characteristics of 18650-type NMC battery pack and single cell. Based on the analysis of experimental results, a two-step equivalent circuit model is established to describe the ESC process and an online model-based scheme is proposed to diagnose ESC faults of battery packs. The proposed scheme is evaluated by experimental data. The results show that it can effectively diagnose ESC faults in 3.5 s after their occurrences with the terminal voltage error less than 25 mV. The proposed scheme has shown great generalization ability. ESC faults of battery packs under different number of cells connected in series and unavailable current information can also be diagnosed at the terminal voltage error less than 48 and 60 mV, respectively.

128 citations


Cites background from "Model-based real-time thermal fault..."

  • ...Fault diagnosis can enhance battery safety from the perspective of battery management and has attracted a lot of attention [4]–[6]....

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References
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Book
01 Jan 1998
TL;DR: In this article, a fault detection and diagnosis framework for discrete linear systems with residual generators and residual generator parameters is presented for additive and multiplicative faults by parameter estimation using a parity equation.
Abstract: Introduction to fault detection and diagnosis discrete linear systems random variables parameter estimation fundamentals analytical redundancy concepts parity equation implementation of residual generators design for structured residuals design for directional residuals residual generation for parametric faults robustness in residual generation statistical testing of residuals model identification for the diagnosis of additive faults diagnosing multiplicative faults by parameter estimation

2,188 citations


"Model-based real-time thermal fault..." refers methods in this paper

  • ...An observer-based approach for model-based diagnosis is adopted here (Gertler, 1998)....

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Journal ArticleDOI
TL;DR: In this paper, a review of the lithium ion battery hazards, thermal runaway theory, basic reactions, thermal models, simulations and experimental works is presented, and the related prevention techniques are summarized and discussed on the inherent safety methods and safety device methods.

1,825 citations


"Model-based real-time thermal fault..." refers background in this paper

  • ...There are many reported instances of thermal runaway in Li-ion batteries leading to fires, for example, in Wang et al. (2012)....

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  • ...There are many reported instances of thermal runaway in Li-ion batteries leading to fires, for example, in Wang et al. (2012). Temperature imbalances among multiple cells in a battery pack could also greatly influence the aging behaviour of the battery, as reported in Bandhauer, Garimella, and Fuller (2011)....

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  • ...There are many reported instances of thermal runaway in Li-ion batteries leading to fires, for example, in Wang et al. (2012). Temperature imbalances among multiple cells in a battery pack could also greatly influence the aging behaviour of the battery, as reported in Bandhauer, Garimella, and Fuller (2011). Therefore, thermal management strategies are essential to mitigate these effects and avoid catastrophic failures of the battery....

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Journal ArticleDOI
TL;DR: A critical review of the available literature on the major thermal issues for lithium-ion batteries is presented in this article, where specific attention is paid to the effects of temperature and thermal management on capacity/power fade, thermal runaway, and pack electrical imbalance.
Abstract: Lithium-ion batteries are well-suited for fully electric and hybrid electric vehicles due to their high specific energy and energy density relative to other rechargeable cell chemistries. However, these batteries have not been widely deployed commercially in these vehicles yet due to safety, cost, and poor low temperature performance, which are all challenges related to battery thermal management. In this paper, a critical review of the available literature on the major thermal issues for lithium-ion batteries is presented. Specific attention is paid to the effects of temperature and thermal management on capacity/power fade, thermal runaway, and pack electrical imbalance and to the performance of lithium-ion cells at cold temperatures. Furthermore, insights gained from previous experimental and modeling investigations are elucidated. These include the need for more accurate heat generation measurements, improved modeling of the heat generation rate, and clarity in the relative magnitudes of the various thermal effects observed at high charge and discharge rates seen in electric vehicle applications. From an analysis of the literature, the requirements for lithium-ion thermal management systems for optimal performance in these applications are suggested, and it is clear that no existing thermal management strategy or technology meets all these requirements.

1,458 citations


"Model-based real-time thermal fault..." refers background in this paper

  • ...Temperature imbalances among multiple cells in a battery pack could also greatly influence the aging behaviour of the battery, as reported in Bandhauer, Garimella, and Fuller (2011)....

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  • ...Parametric uncertainties: The main parametric uncertainty arises from battery aging (Bandhauer et al., 2011)....

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  • ...…uncertainties that affect the performance of the proposed diagnostic scheme as mentioned below: Modelling uncertainties: The main source of modelling uncertainty arises from the heat generation model, which does not include the effect of different electrochemical reactions (Bandhauer et al., 2011)....

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  • ...Sources of uncertainties: Note that, in practice there are several sources of uncertainties that affect the performance of the proposed diagnostic scheme as mentioned below: Modelling uncertainties: The main source of modelling uncertainty arises from the heat generation model, which does not include the effect of different electrochemical reactions (Bandhauer et al., 2011)....

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Journal ArticleDOI
TL;DR: In this paper, an extended Kalman filter (EKF) was proposed to estimate the battery state of charge, power fade, capacity fade, and instantaneous available power of a hybrid-electric-vehicle battery pack.

1,260 citations


"Model-based real-time thermal fault..." refers background in this paper

  • ...…and Pisu (2015b); Klein et al. (2013); Moura, Chaturvedi, and Krstic (2012) and, 2) equivalent circuit model-based approaches: He, Xiong, Zhang, Sun, and Fan (2011), Charkhgard and Farrokhi (2010), Hu and Yurkovich (2012), Kim (2006), Plett (2004), and Gould, Bingham, Stone, and Bentley (2008)....

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Journal ArticleDOI
TL;DR: This paper considers the application of a particular sliding mode observer to the problem of fault detection and isolation using the equivalent output injection concept to explicitly reconstruct fault signals.

1,141 citations