A parallel-connected battery model is constructed by connecting a given number of battery cells in parallel, and this model is used to examine the battery connection structure. We discover the effect of the connection structure on the battery pack''s consistency, the development law of the inconsistency of the conventional
This study reveals why balancing circuits are seldom implemented on cells in a parallel connection, and provides guidance on reducing cell imbalances by managing battery operation in terms of state of charge range and discharge C-rates, as well as improving connection design.
Abstract: Diagnosing imbalances in capacity and resistance within parallel-connected cells in battery packs is critical for battery management and fault detection, but it is challenging given
Abstract: In this paper, the multi-fault diagnosis problem is investigated for series-connected lithium-ion battery packs based on an improved correlation coefficient
Abstract: In this paper, the multi-fault diagnosis problem is investigated for series-connected lithium-ion battery packs based on an improved correlation coefficient method. Different from existing correlation-based fault diagnosis methods having difficulties in distinguishing between sensor faults and connection faults, a novel sensor
The primary challenge to the commercialization of any electric vehicle is the performance management of the battery pack. The performance of the battery module is influenced by the resistance of the inter-cell connecting plates (ICCP) and the position of the battery module posts (BMP). This study investigates the impact of different connection
In parallel battery pack, connection fault is hard to be detected through the parameters directly measured by the battery management system (BMS), which will lead to serious damage such...
The fault diagnosis function of the battery management system (BMS) is crucial for battery pack safety and reliable operation. This paper proposes a new series-parallel connected battery
Efficiently addressing performance imbalances in parallel-connected cells is crucial in the rapidly developing area of lithium-ion battery technology. This is especially important as the need for more durable and
connected battery pack are simulated and studied using the battery pack simulation model. The effectof Ohmic resistance differentialon the current and SOC (state of charge) of the parallel-connected battery pack, as well as the effectof an aging cell on series−parallel battery pack performance, are investigated. The group optimization idea of
To this end, the study proposes an intelligent diagnosis method for battery pack connection faults based on multiple correlation analysis and adaptive fusion decision
Efficiently addressing performance imbalances in parallel-connected cells is crucial in the rapidly developing area of lithium-ion battery technology. This is especially important as the need for more durable and efficient batteries rises in industries such as electric vehicles (EVs) and renewable energy storage systems (ESS).
Request PDF | Management of imbalances in parallel-connected lithium-ion battery packs | Uneven electrical current distribution in a parallel-connected lithium-ion battery pack can result in
Focusing on parallel and series connection mode of battery packs, the main contributions include the following. First, in order to increase the utilization rate of cells and enhance the performance of the battery pack, a method that makes the battery pack achieve their maximum initial capacity has been proposed. Second, a dynamic modeling and analysis method for the battery pack based
The battery is a device that consists of one or more electrochemical cells with external connections for powering electrical appliances. When there are multiple batteries in a given circuit, they are either wired in parallel or series
This paper proposes a novel method to diagnose connection faults in parallel-connected battery packs by estimating the current distribution through terminal voltage, total current and SOC. The long short-term memory (LSTM) network is adopted to predict the current distribution for its effective learning and predictive ability. The main
This study reveals why balancing circuits are seldom implemented on cells in a parallel connection, and provides guidance on reducing cell imbalances by managing battery
The effect of the parameter difference (difference in parameters) of individual cells on the performance of the series-parallel battery pack is simulated and analyzed by grouping cells with...
Abstract: Diagnosing imbalances in capacity and resistance within parallel-connected cells in battery packs is critical for battery management and fault detection, but it is challenging given that individual currents flowing into each cell are often unmeasured. This work introduces a novel method useful for identifying imbalances in capacity
Zhong et al. [12] develop a relation between the pack SOC and the parameters of the cells in the pack to design a balance control strategy for SOC estimation. Baronti et al. [13] study a series connected battery pack to develop an analytical active balancing model to transfer charge between cells of the pack. Li et al. [14] developed a framework for multi-cell state
In parallel battery pack, connection fault is hard to be detected through the parameters directly measured by the battery management system (BMS), which will lead to
Overdischarge is a potential problem in large battery packs since cells in a series string are discharged under the same load, despite having different capacities. Although a single overdischarge
Alexander et al. [26], [27] studied the simplified battery pack model with n-cells in parallel, and extended it to the complex series parallel topology of battery packs, solving the problem of modeling the inconsistency of large-scale serial and parallel connection battery pack. However, this model is not the ideal model of battery cells, based on the assumption that a
DOI: 10.1016/j.jclepro.2020.120277 Corpus ID: 213338368; Internal short circuit detection for lithium-ion battery pack with parallel-series hybrid connections @article{Yue2020InternalSC, title={Internal short circuit detection for lithium-ion battery pack with parallel-series hybrid connections}, author={Pan Yue and Xuning Feng and Zhang Mingxuan and Xuebing Han and
A parallel-connected battery model is constructed by connecting a given number of battery cells in parallel, and this model is used to examine the battery connection structure. We discover the effect of the connection
This paper proposes a novel method to diagnose connection faults in parallel-connected battery packs by estimating the current distribution through terminal voltage, total
The fault diagnosis function of the battery management system (BMS) is crucial for battery pack safety and reliable operation. This paper proposes a new series-parallel connected battery pack voltage measurement design scheme, which can save voltage sensors number from n to 0.75n for n cells in series. The multi-fault diagnosis strategy is
DOI: 10.1016/J.APENERGY.2019.113407 Corpus ID: 197448152; Performance of LiFePO4 batteries in parallel based on connection topology @article{Lv2019PerformanceOL, title={Performance of LiFePO4 batteries in parallel based on connection topology}, author={Jie Lv and Shili Lin and Wenji Song and Mingbiao Chen and Ziping Feng and Yongliang Li and
The effect of the parameter difference (difference in parameters) of individual cells on the performance of the series-parallel battery pack is simulated and analyzed by grouping cells with...
To this end, the study proposes an intelligent diagnosis method for battery pack connection faults based on multiple correlation analysis and adaptive fusion decision-making. The method uses Pearson correlation coefficients (PCC), Spearman correlation coefficients (SCC), and Kendall correlation coefficients (KCC) to simultaneously quantify the
In parallel battery pack, connection fault is hard to be detected through the parameters directly measured by the battery management system (BMS), which will lead to serious damage such as accelerated aging of batteries or even thermal runaway.
To this end, the study proposes an intelligent diagnosis method for battery pack connection faults based on multiple correlation analysis and adaptive fusion decision-making.
Parallel-connected lithium-ion batteries have been widely used in electric vehicles and energy storage systems to meet the capacity and power requirements. The safety issue of lithium-ion battery packs has become a major threat for battery application and directly affects the driving safety of electric vehicles.
As can be seen in Fig. 2, the connection fault of the battery pack has the following two characteristics: 1. When the fault occurs, the voltage of the faulty single unit is characterized by a gradual deviation from that of the healthy single team.
Uneven electrical current distribution in a parallel-connected lithium-ion battery pack can result in different degradation rates and overcurrent issues in the cells. Understanding the electrical current dynamics can enhance configuration design and battery management of parallel connections.
Adaptive fusion decision-making mechanism Convolutional neural networks applied to fault diagnosis of battery packs show excellent performance. However, since fault diagnosis often faces uncertainty and noise interference, a single model for the complex problem of multi-state faults cannot cover all cases.
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