A stack pressure based equivalent mechanical model of lithium-ion pouch batteries

Jiang, Yihui; Hou, Wenlong; Mei, Xuesong

doi:10.1016/j.energy.2021.119804

Cited by 26 publications

(10 citation statements)

References 30 publications

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“…Bring the G k in Equation ( 13) into M k+1 , and merge and integrate the similar terms in the formula to obtain the expressions of G k+1 and M k+1 for iterative calculation of the PGILS algorithm are shown in Equation (14).…”

Section: Pgils Parameter Identification Strategymentioning

confidence: 99%

“…Given the necessity and urgent needs of lithium battery equivalent modeling, in addition to the abovementioned research by related scholars, there are also experts in many fields who have conducted systematic research on battery modeling and parameter identification and have achieved good results. Jiang et al 14 established an equivalent mechanical model of a lithium‐ion battery based on the stacking theory, providing a new idea for high‐fidelity battery modeling. Dai et al 15 proposed a novel separation time scale adaptive model parameter identification strategy, which improved the consistency of model parameters.…”

Section: Introductionmentioning

confidence: 99%

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A novel equivalent modeling method combined with the splice‐electrochemical polarization model and prior generalized inverse least‐square parameter identification for UAV lithium‐ion batteries

Peng

Shi

Wang

et al. 2022

Energy Science & Engineering

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The accuracy of lithium-ion battery state estimation is critical to the safety of unmanned aerial vehicles (UAVs). In this paper, aiming at the high-fidelity modeling of the UAV lithium-ion battery, a splice-electrochemical polarization model (S-EPM) for UAV lithium-ion battery is constructed by combining the traditional electrochemical model with the equivalent circuit model, which greatly improved the accuracy of the battery modeling. In addition, a novel prior generalized inverse least-squares algorithm is proposed. Also, based on this algorithm, the full-parameter identification and multicondition error analysis of the S-EPM are realized based on this algorithm. Finally, a targeted complex discharge rate test and a full-function charge-discharge test were designed to further verify the applicability of the S-EPM to complex conditions. The experimental results show that the voltage error of the model under each working condition is 5.50 and 3.0 mV, and the maximum percentage error ratio is 0.20% and 0.07%. This experiment can provide a theoretical basis for the combination of the electrochemical model and equivalent circuit model and the accurate estimation of internal state variables of lithium-ion batteries.improve the Nernst model, lithium-ion batteries, parameter identification, prior generalized inverse least square, splice-electrochemical polarization model | INTRODUCTIONThe power battery system is one of the most important components of an unmanned aerial vehicle (UAV), which has a great impact on the performance and safety of the whole aircraft. 1 The lithium-ion battery has become the most widely used power battery for aircraft due to its excellent performance. For UAVs, the highperformance battery management system can not only ensure the timeliness of the drone flight but also extend Energy Sci. Eng.

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Section: Pgils Parameter Identification Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel equivalent modeling method combined with the splice‐electrochemical polarization model and prior generalized inverse least‐square parameter identification for UAV lithium‐ion batteries

Peng

Shi

Wang

et al. 2022

Energy Science & Engineering

View full text Add to dashboard Cite

show abstract

“…Pressure has been applied to batteries with various methods, but it generally falls into two categories, using a fixed displacement with two parallel plates or using parallel plates but adding foam as a spring element to reduce the variance in pressure as the cell thickness changes [1,2]. Pressure has been shown to improve the surface area in the negative and positive electrode of the cell, but reaches a critical limit when electrode cracking occurs, reducing the performance of cells [3].…”

Section: Introductionmentioning

confidence: 99%

“…This increases stack pressure but also causes pressure to vary. Despite this, applying an initial stack pressure improves cell conductivity, as well as cell lifetime [1,2]. In this paper, a fixture was designed that applies constant pressure to the cell independent of displacement.…”

mentioning

confidence: 99%

Investigation of Constant Stack Pressure on Lithium-Ion Battery Performance

Leonard¹,

Planden²,

Lukow³

2023

Preprint

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Current research involving applying stack pressure to lithium-pouch cells has shown both performance and lifetime benefits. Fixtures are used to mimic this at the cell level and conventionally prescribe a constant displacement onto the cell. This increases stack pressure but also causes pressure to vary. Despite this, applying an initial stack pressure improves cell conductivity, as well as cell lifetime [1, 2]. In this paper, a fixture was designed that applies constant pressure to the cell independent of displacement. Thefixture uses pneumatics to apply a constant stack pressure independent of elastic andplastic swelling. Cells constrained by the constant pressure fixture (CPF) fixture anda conventional fixture (MBPF) were evaluated using a Hybrid Pulse Power Characterization (HPPC) test, to measure internal resistance and maximum deliverable power. Multiple stack pressures were applied to investigate differences in pressure variation and performance between constant pressure and constant displacement, while all tests were additionally compared to control tests with no applied stack pressure. The CPF reduced pressure variation during charging and discharging. revealing the performance effects of maintaining uniform pressure. Applying constant stack pressure reduced the discharge impedance and improved discharged power of the tested cell but did not improve charge performance. Additionally, all constraining methods reported lower internal resistance with maximum current compared to 50% maximum current. Discharge performance benefits from constant pressure could influence pack design to improve vehicle performance.

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“…In recent years, batteries have played an important role in promoting and developing new energy applications such as electric vehicles and mobile robots [1][2][3]. Lithium-ion batteries (LIBs) are widely used for their high energy density, long cycle life, and no memory effect [4,5].…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of a Novel Microchannel Battery Thermal Management System Based on Digital Twin

Guo

Wang

et al. 2022

Energies

Self Cite

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In order to avoid high-temperature and large rate discharge impact on the performance of battery modules, a microchannel liquid cooling battery thermal management system (BTMS) and BTMS virtual model of the microchannel structure based on digital twin (DT) is proposed. On the basis of accurate virtual simulation model, the computational fluid dynamics (CFD) model and the Gaussian process regression algorithm were combined to drive the optimization process in order to improve the cooling capacity of the system. The results show that the microchannel plates can greatly enhance the cooling capacity of the direct cooling system and effectively improve the uniformity of the coolant. The width of the microchannel plates and the side spacing actually represent the amount of coolant flowing through the inside and outside of the battery module, which significantly impacts the maximum temperature and maximum temperature difference. Increasing the coolant flow can only effectively improve the cooling capacity of the module to a limited extent. Gaussian process regression based on the DT virtual model is more suitable for analyzing the interaction between multiple factors and obtaining global optimization results. After optimization, the maximum temperature and the maximum temperature difference of the system are reduced by 4.02 °C and 5.05 °C, respectively. The proposed structure and method are expected to provide insights into the design and development of battery thermal management systems.

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A stack pressure based equivalent mechanical model of lithium-ion pouch batteries

Cited by 26 publications

References 30 publications

A novel equivalent modeling method combined with the splice‐electrochemical polarization model and prior generalized inverse least‐square parameter identification for UAV lithium‐ion batteries

A novel equivalent modeling method combined with the splice‐electrochemical polarization model and prior generalized inverse least‐square parameter identification for UAV lithium‐ion batteries

Investigation of Constant Stack Pressure on Lithium-Ion Battery Performance

Design and Optimization of a Novel Microchannel Battery Thermal Management System Based on Digital Twin

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