Review on the aging mechanisms in Li-ion batteries for electric vehicles based on the FMEA method

Schlasza, Christian; Ostertag, P.; Chrenko, Daniela; Kriesten, Reiner; Bouquain, David

doi:10.1109/itec.2014.6861811

Cited by 36 publications

(20 citation statements)

References 35 publications

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“…Although FMEA poses numerous problems, it is the most frequently applied reliability evaluation method across all industries because of its simple and systematic analysis. To strengthen the FMEA evaluation performance to supplement the existing problems of FMEA, researchers have investigated methods and approaches from various perspectives [21,22], including a method where, after pre-selecting the factors necessary for FMEA [23], the relationship between the failure mode and effect can be determined by applying various control methods such as fuzzy logic, neural network, functional inference theory [10][11][12][13][14][24][25][26][27][28]; a FMEA matrix, which graphically assesses the relationship between the elements of a system, failure modes, and failure effects [29,30]; methods to effectively prepare the appropriate FMEA form for a given objective [31,32]; methods to provide a worksheet that automatically generates the FMEA using past FMEA data [33]; and other approaches to derive more objective FMEA results [34].…”

Section: Problems With the Existing Rpn Evaluation Methodsmentioning

confidence: 99%

“…functional inference theory [10][11][12][13][14][24][25][26][27][28]; a FMEA matrix, which graphically assesses the relationship between the elements of a system, failure modes, and failure effects [29,30]; methods to effectively prepare the appropriate FMEA form for a given objective [31,32]; methods to provide a worksheet that automatically generates the FMEA using past FMEA data [33]; and other approaches to derive more objective FMEA results [34].…”

Section: Improvement In the Rpn Technique And Improvement Of The Evalmentioning

confidence: 99%

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Comparison and Verification of Reliability Assessment Techniques for Fuel Cell-Based Hybrid Power System for Ships

Jeon

Park

Kim

2020

JMSE

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In order to secure the safe operation of the ship, it is crucial to closely examine the suitability from the design stage of the ship, and to set up a preliminary review and countermeasures for failures and defects that may occur during the construction process. In shipyards, the failure mode and effects analysis (FMEA) evaluation method using risk priority number (RPN) is used in the shipbuilding process. In the case of the conventional RPN method, evaluation items and criteria are ambiguous, and subjective factors such as evaluator’s experience and understanding of the system operate a lot on the same contents, resulting in differences in evaluation results. Therefore, this study aims to evaluate the safety and reliability for ship application of the reliability-enhanced fuel cell-based hybrid power system by applying the re-established FMEA technique. Experts formed an FMEA team to redefine reliable assessment criteria for the RPN assessment factors severity (S), occurrence (O), and detection (D). Analyze potential failures of each function of the molten-carbonate fuel cell (MCFC) system, battery system, and diesel engine components of the fuel cell-based hybrid power system set as evaluation targets to redefine the evaluation criteria, and the evaluation criteria were derived by identifying the effects of potential failures. In order to confirm the reliability of the derived criteria, the reliability of individual evaluation items was verified by using the significance probability used in statistics and the coincidence coefficient of Kendall. The evaluation was conducted to the external evaluators using the reestablished evaluation criteria. As a result of analyzing the correspondence according to the results of the evaluation items, the severity was 0.906, the incidence 0.844, and the detection degree 0.861. Improved agreement was obtained, which is a significant result to confirm the reliability of the reestablished evaluation results.

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Section: Problems With the Existing Rpn Evaluation Methodsmentioning

confidence: 99%

Section: Improvement In the Rpn Technique And Improvement Of The Evalmentioning

confidence: 99%

Comparison and Verification of Reliability Assessment Techniques for Fuel Cell-Based Hybrid Power System for Ships

Jeon

Park

Kim

2020

JMSE

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“…SEI layer: The SEI (Solid Electrolyte Interphase) layer is used to protect the particle surface. Any defect in this layer results in lithium corrosion which reduces the energy available in the battery [70].…”

Section: Ageing Mechanismsmentioning

confidence: 99%

“…The state of health (SoH) of a battery is used to characterize the current condition of the battery. The factors determining the SoH of the battery is the internal resistance of the battery and the capacity of the battery [70]. The two most commonly used SoH definitions used are:…”

Section: State Of Healthmentioning

confidence: 99%

Intelligent controller for a hybrid energy storage system

Jaarsveld

Gouws

2019

2019 International Multidisciplinary Information Technology and Engineering Conference (IMITEC)

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The performance and range of electric vehicles are largely determined by the characteristics of the electrical energy storage (EES) device used. The EES should be sufficiently sized to be able to provide the necessary power and energy requirements of the vehicle. Batteries are typically energy dense, although batteries that are both energy and power dense exist, they are much more expensive. The life and usable capacity of batteries are negatively impacted by power impulses. Battery packs in electric vehicles (EV) are typically oversized to be able to provide enough power during these impulses experienced when the vehicle accelerates. Hybrid energy storage systems (HESS) have been proposed in the literature to solve these problems. HESS beneficially combines two or more EES devices with complementary characteristics. An additional EES device with a high-power density, such as an ultracapacitor, can be used as a buffer to provide power during power surges to reduce the power impulses experienced by the battery. Isolating the battery from the power impulses would allow the EV to utilize more energy dense batteries, increasing the range of the EV as well as increasing the lifetime of the utilized batteries. The research presented in this paper documents the implementation of an active HESS that combined a battery pack and an ultracapacitor bank. The implemented HESS was used to reduce the peak-power that the battery needs to provide to the load. An active topology utilising two DC/DC converters and a switch was used to implement the hybrid energy storage system. Fuzzy logic was used as a close-loop control structure to control the DC/DC converters in the topology, whilst a rule-based control strategy was used to control the operating states of the HESS. Experimental implementation of the system showed that the system was able to actively control the flow of power throughout the HESS in order to limit the power drawn from the battery to a userdefined limit. The performance of the fuzzy logic controllers was also experimentally found to be sufficient when used in conjunction with the rule-based control strategy. The system allows one to utilize batteries that are optimized for energy density seeing that the system was able to actively limit the power drawn from the battery, whilst providing the required power to the load by utilising the ultracapacitor bank. The controller and HESS were simulated in MATLAB ® /Simulink ® and practically implemented through the Simulink ® Real-Time environment with a STM32 Nucleo microcontroller. The active topology reduced the peak-power drawn from the battery by 46.05% for a pulse train load profile whilst the system reduced the peak-power drawn from the battery by 90.1% for a real-world drive cycle. The developed active HESS is not only suitable for EVs, but can be used to hybridize different energy sources, such as fuel cells, photovoltaic cells and any other EES devices that have complementary characteristics.

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“…But, it is also cell degradation via aging observed, which is the main disadvantage of lithium ion batteries. An overview of aging mechanisms in literature could be found in [14]. The main aging mechanisms could be divided into two parts, the aging behavior on cycling and the calendric aging effects [15], both effects occur on anode electrodes as well as on cathode electrodes.…”

Section: Introductionmentioning

confidence: 99%

Ageing Behavior of LiNi0.80 Co0.15Al0.05O2 Cathode Based Lithium Ion Cells—Influence of Phase Transition Processes

Betzin¹,

Wolfschmidt²

2018

MSA

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In this paper, commercial lithium ion battery cells consisting of graphite based anode and LiNi 0.80 Co 0.15 Al 0.05 O 2 (NCA) oxide based cathode were investigated regarding their aging behavior. The capacity loss is dependent on the state of charge (SOC) whereas the battery is operated with partial cycles at defined SOCs. The structural change of the positive electrode material is identified as dominating aging process. Especially grid services such as primary control reserve are of economic interest for battery system operators. In this application, small charge and discharge cycles are the main operation mode. Considering the operation of single battery storage systems in a virtual storage power plant, different states of charges are much more of interest. Thus the battery aging behavior of lithium ion cells with NCA based cathode material with respect to cycling at specific state of charge with small depth of discharge (DOD) is investigated. The results in this paper provide understanding of small DOD cycling at given SOC behavior which is necessary for NCA lifetime prediction in this particular case, especially in virtual storage plant with various storage systems and thus various SOCs for delivery primary reserve the small DOD behavior which has an important impact on efficiency and economy. It is a key finding, which aging mechanisms are essential in order to optimize the cell operation and adapt it to system performance.

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Review on the aging mechanisms in Li-ion batteries for electric vehicles based on the FMEA method

Cited by 36 publications

References 35 publications

Comparison and Verification of Reliability Assessment Techniques for Fuel Cell-Based Hybrid Power System for Ships

Comparison and Verification of Reliability Assessment Techniques for Fuel Cell-Based Hybrid Power System for Ships

Intelligent controller for a hybrid energy storage system

Ageing Behavior of LiNi<SUB>0.80</SUB> Co<SUB>0.15</SUB>Al<SUB>0.05</SUB>O<SUB>2</SUB> Cathode Based Lithium Ion Cells—Influence of Phase Transition Processes

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Review on the aging mechanisms in Li-ion batteries for electric vehicles based on the FMEA method

Cited by 36 publications

References 35 publications

Comparison and Verification of Reliability Assessment Techniques for Fuel Cell-Based Hybrid Power System for Ships

Comparison and Verification of Reliability Assessment Techniques for Fuel Cell-Based Hybrid Power System for Ships

Intelligent controller for a hybrid energy storage system

Ageing Behavior of LiNi&lt;SUB&gt;0.80&lt;/SUB&gt; Co&lt;SUB&gt;0.15&lt;/SUB&gt;Al&lt;SUB&gt;0.05&lt;/SUB&gt;O&lt;SUB&gt;2&lt;/SUB&gt; Cathode Based Lithium Ion Cells—Influence of Phase Transition Processes

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Ageing Behavior of LiNi<SUB>0.80</SUB> Co<SUB>0.15</SUB>Al<SUB>0.05</SUB>O<SUB>2</SUB> Cathode Based Lithium Ion Cells—Influence of Phase Transition Processes