Current Distribution Estimation of Parallel-Connected Batteries for Inconsistency Diagnosis Using Long Short-Term Memory Networks

Cui, Zhongrui; Cui, Naxin; Rao, Jing; Li, Changlong; Zhang, Chenghui

doi:10.1109/tte.2021.3118691

Cited by 18 publications

(3 citation statements)

References 39 publications

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“…The larger current passes through the piezoelectric patch with the smaller impedance value while the smaller current passes through the piezoelectric patch with the larger impedance value. This current distribution mechanism helps to minimize noise due to impedance differences [54][55][56]. In addition, each piezoelectric patch in parallel connection can be considered as an independent noise source.…”

Section: Artificial Quantitative Corrosion Analysismentioning

confidence: 99%

Performance study of novel metal corrosion probes based on the adjust method of series and parallel connections

Lan,

Wang,

Wang

et al. 2024

Meas. Sci. Technol.

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Rod-type metal corrosion probes based on electromechanical impedance (EMI) technique can quantitatively assess the amount of corrosion, which have a promising application in pipeline corrosion monitoring and have received more and more attention. In the design of piezoelectric smart devices, electrical series and parallel connections are very important and effective adjust method to improve the device performance, but it is yet to be used in the probe design. In this work, a kind of novel metal corrosion probe with two piezoelectric elements in series and parallel connections was proposed, and its performance was investigated comprehensively by combining theoretical analysis with experiment research. Theoretical models of the proposed probe in the longitudinal vibration mode for both series and parallel connections were established, and verified by the experimental results. Influences of the thicknesses of piezoelectric layer and ceramic layer on the probe performance were analyzed. Artificial quantitative corrosion tests and accelerated corrosion tests were designed to evaluate the quantitative corrosion monitoring capacity. Temperature sensitivity tests were conducted to study the temperature dependence. The wireless impedance measurement was performed to confirm the online monitoring ability. Comparisons for the probe performance between the series and parallel connections were also presented. This work provided a comprehensive understanding for this kind of novel probe, which is beneficial to develop low-cost, high-precision, high-stability pipeline corrosion real-time monitoring technology.

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Section: Artificial Quantitative Corrosion Analysismentioning

confidence: 99%

Performance study of novel metal corrosion probes based on the adjust method of series and parallel connections

Lan,

Wang,

Wang

et al. 2024

Meas. Sci. Technol.

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show abstract

“…Lithium‐ion batteries are widely used as power sources for new energy vehicles due to their high energy density, high power density, and long service life 1,2 . However, it usually requires hundreds of battery cells in series and parallel to meet the requirements of pure electric vehicles for mileage and voltage 3 .…”

Section: Introductionmentioning

confidence: 99%

“…Lithium-ion batteries are widely used as power sources for new energy vehicles due to their high energy density, high power density, and long service life. 1,2 However, it usually requires hundreds of battery cells in series and parallel to meet the requirements of pure electric vehicles for mileage and voltage. 3 The differences caused by the initial production process will be continuously amplified in the subsequent use process; temperature, vibration, and mechanical stress can also affect the performance of the battery, resulting in inconsistency failure of battery cells, seriously affecting battery life, and even affecting vehicle safety.…”

Section: Introductionmentioning

confidence: 99%

A method for battery fault diagnosis and early warning combining isolated forest algorithm and sliding window

Cheng,

Li,

2023

Energy Science & Engineering

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The vehicle's power battery is composed of a large number of battery cells series or in parallel. Due to the manufacturing process error and the different use environments, there are differences between the battery cells, and the battery pack will have inconsistency problems, which will increase the safety hazard. Therefore, it is of great practical significance to identify and warn about the inconsistency of power batteries. Based on the data of the internet of vehicles platform, this paper proposes an improved isolated forest power battery abnormal monomer identification and early warning method, which uses the sliding window (SW) to segment the dataset and update the data of the diagnosis model in real‐time. The scores of normal battery cells and abnormal battery cells were analyzed, and then the fault threshold was determined to be 0.75. The results show that the recall ratio and precision ratio of the algorithm are 0.91 and 0.95, respectively, which is more suitable for inconsistent battery cell identification than other methods. If the SW size is 15, the warning effect is the best. Before the vehicle alarm occurs, the algorithm can realize early fault warnings, thus effectively avoiding the safety problems caused by inconsistency faults.

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A novel method for fault diagnosis and type identification of cell voltage inconsistency in electric vehicles using weighted Euclidean distance evaluation and statistical analysis

Liu,

Ma,

Zhao

et al. 2024

Energy

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Current Distribution Estimation of Parallel-Connected Batteries for Inconsistency Diagnosis Using Long Short-Term Memory Networks

Cited by 18 publications

References 39 publications

Performance study of novel metal corrosion probes based on the adjust method of series and parallel connections

Performance study of novel metal corrosion probes based on the adjust method of series and parallel connections

A method for battery fault diagnosis and early warning combining isolated forest algorithm and sliding window

A novel method for fault diagnosis and type identification of cell voltage inconsistency in electric vehicles using weighted Euclidean distance evaluation and statistical analysis

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