Effects of Vibration on the Electrical Performance of Lithium-Ion Cells Based on Mathematical Statistics

Zhang, Lijun; Ning, Zhansheng; Mu, Zhongqiang; Sun, Changyin

doi:10.3390/app7080802

Cited by 44 publications

(24 citation statements)

References 27 publications

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“…In order to show the reliability of the experimental results, the variance of natural frequencies and damping ratios were adopted, which was calculated using Equations (5) and (6).…”

Section: Resultsmentioning

confidence: 99%

“…The vehicle is subject to random vibration when driving on the road [4]. If the excitation frequency is close to the natural frequency of the battery pack it would cause resonance, which would seriously damage the electrical and mechanical components inside the battery pack [5,6], reduce its fatigue life, and ultimately increase the possibility of severe accidents. Therefore, it is essential to figure out the vibration mechanism of the battery pack through experiments and simulations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Experimental and Simulation Modal Analysis of a Prismatic Battery Module

Xia

Liu

et al. 2020

Energies

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The battery pack is the core component of a new energy vehicle (NEV), and reducing the impact of vibration induced resonance from the ground is a prerequisite for the safety of an NEV. For a high-performance battery pack design, a clear understanding of the structural dynamics of the key part of battery pack, such as the battery module, is of great significance. Additionally, a proper computational model for simulations of battery module also plays a key role in correctly predicting the dynamic response of battery packs. In this paper, an experimental modal analysis (EMA) was performed on a typical commercial battery module, composed of twelve 37Ah lithium nickel manganese cobalt oxide (NMC) prismatic cells, to obtain modal parameters such as mode shapes and natural frequencies. Additionally, three modeling methods for a prismatic battery module were established for the simulation modal analysis. The method of simplifying the prismatic cell to homogenous isotropic material had a better performance than the detailed modeling method, in predicting the modal parameters. Simultaneously, a novel method that can quickly obtain the equivalent parameters of the cell was proposed. The experimental results indicated that the fundamental frequency of battery module was higher than the excitation frequency range (0–150 Hz) from the ground. The mode shapes of the simulation results were in good agreement with the experimental results, and the average error of the natural frequency was below 10%, which verified the validity of the numerical model.

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“…In order to show the reliability of the experimental results, the variance of natural frequencies and damping ratios were adopted, which was calculated using Equations (5) and (6).…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental and Simulation Modal Analysis of a Prismatic Battery Module

Xia

Liu

et al. 2020

Energies

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show abstract

“…The origin of the increase in capacitance is hypothesized to arise from ion accumulation in the polymer layer. The impact on the introduced capacitance was evaluated by using a lumped circuit model, 40 (13) where ( ) is the time dependent potential, I is the applied current, is the RC time constant. The time constant for symmetric cells with and without PEO layer at 70°C was calculated to be = 40 μs and = 88 μs respectively.…”

Section: Llzo/li Interfacial Modification-symmetricmentioning

confidence: 99%

Modification of Lithium Metal Anode and Solid-State Electrolyte Interface with a Gel Electrolyte

Renna¹,

Blanc²,

Giordani³

2020

Preprint

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Solid-state electrolytes are continually being explored for Li-ion batteries due to their enhanced safety and their enabling of high energy density active materials, particularly Li metal anodes. However, the interface between solid-state electrolytes and Li metal anodes are prone to high impedance due to poor contact, limiting their applicability. Introducing a thin gel polymer electrolyte interlayer to conformally coat solid electrolytes can improve the interfacial contact of Li metal anode and thus reduce the interfacial resistance. Here we used a plasticized poly(ethylene oxide)-based electrolyte with high concentrations of bis(trifluoromethane)sulfonamide lithium (LiTFSI) that show 100% amorphous character. These electrolytes show Li+ conductivity as high as σ = 2.9×10-4 S/cm at room temperature. We discovered by thermogravimetric analysis (TGA) with off-gas analysis in conjunction with nuclear magnetic resonance (NMR) spectroscopy that the electrolyte films had absorbed N-methyl-2-pyrrolidone (NMP) vapors to form a gel electrolyte. We incorporated the gel electrolyte as an interfacial modification layer between LLZO and Li metal electrodes and found a 58 times reduction in the area specific resistance (ASR) at room temperature.

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“…The battery conditions can be influenced by both internal and external parameters, like temperature and vibrations. The literature shows that vibration load and temperature influences performance of LIBs, leading to a significant decrease in cell capacity, and deterioration inconsistencies [51]. Whenever any abnormal conditions, such as over-voltage or overheating, are detected, the BMS should notify the user and execute the preset correction procedure.…”

Section: Condition Monitoringmentioning

confidence: 99%

“…Battery identifiability remains a very open research area whose exploration can shed light on the extremely important question of what additional sensors, beyond terminal current, temperature, and voltage, can provide with respect to the best means for onboard battery health prognostics, diagnostics, and control [117], using various model estimation algorithms. There are a number of SOH estimation algorithms in battery management systems, but one of the important classes of estimation algorithms is the equivalent circuit model [51].…”

Section: Future Research Agendamentioning

confidence: 99%

Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles

2018

Self Cite

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The battery is the most ideal power source of the twenty-first century, and has a bright future in many applications, such as portable consumer electronics, electric vehicles (EVs), military and aerospace systems, and power storage for renewable energy sources, because of its many advantages that make it the most promising technology. EVs are viewed as one of the novel solutions to land transport systems, as they reduce overdependence on fossil energy. With the current growth of EVs, it calls for innovative ways of supplementing EVs power, as overdependence on electric power may add to expensive loads on the power grid. However lithium-ion batteries (LIBs) for EVs have high capacity, and large serial/parallel numbers, when coupled with problems like safety, durability, uniformity, and cost imposes limitations on the wide application of lithium-ion batteries in EVs. These LIBs face a major challenge of battery life, which research has shown can be extended by cell balancing. The common areas under which these batteries operate with safety and reliability require the effective control and management of battery health systems. A great deal of research is being carried out to see that this technology does not lead to failure in the applications, as its failure may lead to catastrophes or lessen performance. This paper, through an analytical review of the literature, gives a brief introduction to battery management system (BMS), opportunities, and challenges, and provides a future research agenda on battery health management. With issues raised in this review paper, further exploration is essential.

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Effects of Vibration on the Electrical Performance of Lithium-Ion Cells Based on Mathematical Statistics

Cited by 44 publications

References 27 publications

Experimental and Simulation Modal Analysis of a Prismatic Battery Module

Experimental and Simulation Modal Analysis of a Prismatic Battery Module

Modification of Lithium Metal Anode and Solid-State Electrolyte Interface with a Gel Electrolyte

Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles

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