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Consistency evaluation features can be extracted online. An improved fuzzy clustering algorithm is developed to evaluate pack consistency. The proposed methods are validated by nine months of electric vehicle data. Consistency is an essential factor affecting the operation of lithium-ion battery packs.
Considerable research efforts have been devoted to the diagnosis and evaluation of battery pack consistency. To diagnose faults and provide early warning of the inconsistencies, existing methods can be mainly divided into model-based and data-driven methods .
In Ref. , the voltage variation rate is employed to evaluate the pack consistency. Model-based: These approaches employ filters or parameter identification algorithms to estimate the battery parameters. Then, the pack consistency is evaluated by the parameter distribution.
The evaluation of consistency in battery packs is therefore crucial. The initial consistency concerns the differences between batteries, even for those manufactured in the same batch .
According to the literature, battery consistency evaluation methods can be divided into three types: signal processing-based, model-based, and information fusion-based. Signal processing-based: These methods refer to time-domain analysis and frequency-domain analysis.
To improve the safety monitoring of EVs and cooperate with prognostics and health management (PHM), the evaluation method of battery pack consistency is gradually receiving attention [18, 19]. High-quality feature engineering is important for reliable consistency evaluation.
With the usage of batteries, the pack consistency is deteriorating. The consistency variation and the mileage can be approximated by a first-order function. The scale …
Battery pack consistency evaluations based on EV operating data are significantly different from those based on the laboratory environment. For the cells in the …
To solve this problem, a non-destructive testing method for capacity consistency of lithium-ion battery pack based on 1-D magnetic field scanning is proposed in this article. …
To solve this problem, a non-destructive testing method for capacity consistency of lithium-ion battery pack based on 1-D magnetic field scanning is proposed in this article. …
A Device for Test and Evaluation of Consistency of Power Battery Pack for Automotive applications. Hongwei Wang 1, Chun Zheng 2, Jun Liu 3, ... the thermal …
(2) The discharge pulse test is implemented after the battery pack rests for 5 h. During the pulse test, the battery pack is discharged at 0.3 C(18 A) for 30 s. The voltage …
In this work, a battery pack consistency evaluation approach is proposed based on multi-feature information fusion. Ohmic resistance, polarization resistance and open …
Direct current internal resistance (DCIR) is a key parameter to determine consistency of power characteristics of a battery pack. This consistency is influenced by …
A Copula-based battery pack consistency modeling method and its application on the energy utilization efficiency estimation Yan Jiang a, b, Jiuchun Jiang a, c, Caiping Zhang a, *, Weige …
By testing the battery cells, the key parameters obtained from the test are calculated, such as maximum value, minimum value, average value, range, relative range, standard deviation, …
Aiming at tacking this issue, an inconsistency evaluation method is deployed for the battery pack based on an improved Gaussian mixture model (GMM) and feature fusion approach. …
Battery packs are applied in various areas (e.g., electric vehicles, energy storage, space, mining, etc.), which requires the state of health (SOH) to be accurately estimated. …
The proposed consistency evaluation framework can be deployed on the monitoring platform to evaluate the battery pack consistency online during EV charging based …
Consistency is the main indicator for evaluating battery pack performance, and its characterization method needs to be able to express the external discharge capability of the battery pack and …
In this paper, the thermal consistency and electrochemical performance of batteries were comprehensively considered to improve the test and ensure the consistency of …
The simulation setup consists of a battery pack module, a charging/discharging module, a temperature module, and a state monitoring module, as shown in Fig. 1. The battery …
The errors of the correlation coefficients between the proposed model and the test data are within 0.12. Then the framework of battery pack EUE estimation using the consistency model is …
In this work, a battery pack consistency evaluation approach is proposed based on multi-feature information fusion. Ohmic resistance, polarization resistance and open circuit volt-