Signal processing-based methods: The consistency of the battery pack can be directly reflected through a signal processing process of the measurement such as voltage [14], current [15], temperature [16], and electrochemical impedance spectrum (EIS) [17].Wang et al. [18] employed the square of the standard deviation coefficient (SDC) to evaluate the
Customer ServiceThe importance of cell consistency to battery packs is self-evident, as it is directly related to the performance, life and safety of battery packs. The control of cell
Customer ServiceTo 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.
Customer ServiceLIBs are frequently used as battery packs to enhance performance and provide higher voltage and current levels. Inconsistencies in internal resistance, capacity and polarisation occur between single cells, leading to the LIBs'' overcharge and over-discharge, resulting in the battery pack''s capacity attenuation [[6], [7], [8]].Furthermore, as the cycles increase, the
Customer ServiceThe article systematically analyzes the influence of parameters variation on battery pack consistency based on the statistical distribution properties of the capacity, internal
Customer ServiceAbstract: Cell inconsistency is a common problem in the charging and discharging of lithium-ion battery (LIB) packs that degrades the battery life. In situ, real-time data can be obtained from the battery energy storage system (BESS) of an electric boat through telemetry. This article examined the use of a 57-kWh BESS comprising six battery
Customer ServiceBattery SOC consistency evolutions under four scenarios are discussed, which shows that columbic efficiency will lead to prominently accumulative effect on SOC divergence. The OCV consistency model of the battery pack and identification algorithm are introduced in Section 3 and the corresponding accuracy is demonstrated. The mapping
Customer ServiceThe article systematically analyzes the influence of parameters variation on battery pack consistency based on the statistical distribution properties of the capacity, internal resistance and the SOC of a battery pack. It concludes that the SOC variation contributions the most to battery consistency from the perspective of energy utilization
Customer ServiceThis paper starts from the consistency evaluation method based on voltage curve similarity and determines the characterization parameters that can characterize the inconsistency in
Customer ServiceIn this work, a battery pack consistency evaluation approach is proposed based on multi-feature information fusion. Ohmic resistance, polarization resistance and open circuit voltage are...
Customer ServiceIn practical application, single-cell is unable to satisfy the voltage, current and energy requirements for EV. Hundreds or thousands of individual cells need to be connected in series/parallel configuration to construct battery packs in order to provide sufficient voltage, current, power and energy for EV [7, 8].Unfortunately, cell differences always exist and are
Customer ServiceIn this work, a battery pack consistency evaluation approach is proposed based on multi-feature information fusion. Ohmic resistance, polarization resistance and open circuit voltage are
Customer ServiceThe consistency of battery cells is important for power battery pack. The current large-scale application of lithium-ion batteries in new energy vehicles, smart grids and other fields is increasing year by year, but the current inconsistency of
Customer ServiceIn this work, a battery pack consistency evaluation approach is proposed based on multi-feature information fusion. Ohmic resistance, polarization resistance and open circuit voltage are
Customer ServiceIn this work, a battery pack consistency evaluation approach is proposed based on multi-feature information fusion. Ohmic resistance, polarization resistance and open circuit voltage are identified as feature parameters from electric vehicle operation data.
Customer ServiceThe battery pack fault diagnosis algorithm is constructed by using δ and sample entropy to realize early real-time fault diagnosis of battery packs. Finally, battery pack consistency and ISC faults experiments are performed. Experimental results show that the proposed consistency assessment and fault diagnosis method have good effectiveness
Customer ServiceIn this work, a battery pack consistency evaluation approach is proposed based on multi-feature information fusion. Ohmic resistance, polarization resistance and open circuit voltage are...
Customer ServiceTo 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. First, a magnetic field simulation model and measurement setup of lithium-ion battery are developed to study the principle of detection technology. On such basis, a
Customer ServiceThe embodiment of the invention discloses a battery pack consistency detection method and device, a readable storage medium and electronic equipment. And determining a differential curve for representing the phase change process of the active substances in each single battery according to the cell voltage and the charging capacity. And detecting the consistency of the
Customer ServiceFigure 7. (a)Battery cell consistency screening instrument(BCS); (b) EIS distribution diagram of 10 340Ah batteries. 4. Summary The importance of cell consistency to battery packs is self-evident, as it is directly related to the performance, life and safety of battery packs. The control of cell consistency and the screening of cells into
Customer Service6 天之前· 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 truly describe its current state without changes in external factors. Single-factor indicators cannot fully describe the battery state. Multi-factor
Customer ServiceThe proposed battery pack consistency modeling and EUE estimation method is verified based on the test results of a retired lithium-ion battery pack with 95 in-series connected LiFePO 4 battery cells. The EUE estimation errors at
Customer ServiceThe proposed battery pack consistency modeling and EUE estimation method is verified based on the test results of a retired lithium-ion battery pack with 95 in-series
Customer ServiceDOI: 10.1016/j.energy.2020.116944 Corpus ID: 213175255; Consistency evaluation and cluster analysis for lithium-ion battery pack in electric vehicles @article{Tian2020ConsistencyEA, title={Consistency evaluation and cluster analysis for lithium-ion battery pack in electric vehicles}, author={Jiaqiang Tian and Yujie Wang and Chang Liu and Zonghai Chen}, journal={Energy},
Customer ServiceThe battery pack fault diagnosis algorithm is constructed by using δ and sample entropy to realize early real-time fault diagnosis of battery packs. Finally, battery pack consistency and ISC faults
Customer ServiceThis paper starts from the consistency evaluation method based on voltage curve similarity and determines the characterization parameters that can characterize the inconsistency in capacity, internal resistance, and state of charge (SOC) of cells. Then, from the perspective of the aging evolution law, the error sources and limitations of the
Customer ServiceThe consistency of battery packs is vital for safety and reliability during electric vehicle (EV) operations. Many consistency evaluation methods based on laboratory conditions are time-consuming and difficult to implement in the real-world. This study proposes an evaluation method for the consistency of lithium-ion battery packs in EVs based
Customer ServiceThe consistency of battery packs is vital for safety and reliability during electric vehicle (EV) operations. Many consistency evaluation methods based on laboratory conditions
Customer ServiceThe importance of cell consistency to battery packs is self-evident, as it is directly related to the performance, life and safety of battery packs. The control of cell consistency and the screening of cells into groups are both systematic projects, which require consideration of multiple dimensions such as cell design, production, quality
Customer ServiceThe 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 .
The SOC consistency of battery pack can be employed as evaluation index representing the battery consistency level. As is known, the SOC-OCV function is a representative for a particular battery, and is generally a nonlinear monotone function between SOC and OCV for all lithium-ion batteries.
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 .
On such basis, a capacity consistency evaluation method of lithium-ion battery packs is proposed using magnetic field feature extraction and k -nearest neighbors ( k -NNs), and the effectiveness of the method is verified by experimental testing.
This is the first application of the MTS in the evaluation of battery pack consistency. The MTS has a complete mathematical theory and fast operation speed, and a two-level inconsistency warning is determined using the Chebyshev theorem.
The results show that the proposed method can accurately diagnose the capacity consistency of the tested battery pack, which provides a basis for battery pack performance testing and maintenance. The capacity inconsistency among commercial lithium-ion battery packs is an important factor affecting their service life.
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