| 1. |
- Tian, Yu, et al.
(författare)
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Deep neural network-driven in-situ detection and quantification of lithium plating on anodes in commercial lithium-ion batteries
- 2022
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Ingår i: ECOMAT. - : WILEY. - 2567-3173.
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Tidskriftsartikel (refereegranskat)abstract
- Lithium plating seriously threatens the life of lithium-ion batteries at low temperatures charging conditions, but the onboard detection and quantification of lithium plating are severely hampered by the limited available signals and volatile operating conditions in real scenarios. Herein, we propose a detection method to predict the occurrence and quantification of lithium plating under uncertain conditions by only using constant-current curves during charging based on deep learning. A deep neural network (DNN) is developed to extract data-driven features induced by lithium plating from the charge curves, avoiding the challenge of manual feature selection. Only using the most common voltage and current signals as inputs, the network exhibits superior adaptability and accuracy. The detection accuracy of the proposed method is 98.64%, while the quantity of the lithium plating can be accurately predicted with a root-mean-square error <4.1712 mg. Moreover, the generalization ability of the proposed method is verified by its reliable detection accuracy under conditions that are not used in the training dataset. The detection accuracy is 92.39% for brand new charging conditions and 95.53% for brand new aging states. This method shortens the detection time that currently takes more than several hours (the widely used differential curve analysis) to milliseconds and eliminates the need for a rigorous testing environment, showing great potential for onboard application in future battery management systems.
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| 2. |
- Xu, Johanna, 1989, et al.
(författare)
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A multicell structural battery composite laminate
- 2022
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Ingår i: EcoMat. - : Wiley. - 2567-3173. ; In Press
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Tidskriftsartikel (refereegranskat)abstract
- Multifunctional materials facilitate lightweight and slender structural solutions for numerous applications. In transportation, construction materials that can act as a battery, and store electrical energy, will contribute to realization of highly energy efficient vehicles and aircraft. Herein, a multicell structural battery composite laminate, with three state-of-the-art structural battery composite cells connected in series is demonstrated. The experimental results show that the capacity of the structural battery composite cells is only moderately affected by tensile loading up to 0.36% strain. The multicell structural battery laminate is made embedding the three connected structural battery composite cells between carbon fiber/glass fiber composite face sheets. Electrochemical performance of the multicell structural battery is demonstrated experimentally. High charge transfer resistance for the pack as well as the individual cells is reported. Mechanical performance of the structural battery laminate is estimated by classical laminate theory. Computed engineering in-plane moduli for the multicell structural battery laminate are on par with conventional glass fiber composite multiaxial laminates.
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| 3. |
- Zhang, Renyun, et al.
(författare)
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Material choices for triboelectric nanogenerators : A critical review
- 2020
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Ingår i: ECOMAT. - : Wiley. - 2567-3173. ; 2:4
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Forskningsöversikt (refereegranskat)abstract
- A triboelectric nanogenerator (TENG) is a novel technology with applications in many areas, including energy harvesting, self-powered sensing, medication, and electronics. The materials used as triboelectric layers are diverse and include polymers, metals, and inorganic materials. The most commonly used materials are dielectric polymers such as PTFE, FEP, PDMS, and Kapton. Green materials, such as cellulose-based materials, have recently gained increasing interest, and the performance of TENGs using cellulose materials has improved. The material choices are of great importance for TENGs since the triboelectric effects of the materials are fundamental for TENGs. To design a TENG for a particular application, several parameters need to be considered, such as power density, stability, flexibility, and sustainability. This critical review will summarize and evaluate the material choices for TENGs in different applications.
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