Ultrasonic characterization of multi-layered porous lithium-ion battery structure for state of charge
•To simulate the ultrasonic behavior of lithium-ion batteries, we developed a two-dimensional simulation model that considered the multi-layered porous structure of the battery by employing the Voronoi polygons.•A gray model based on the particle swarm optimization-based-simulated annealing (GM-PSO-...
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| Vydané v: | Ultrasonics Ročník 134; s. 107060 |
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| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Netherlands
Elsevier B.V
01.09.2023
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| ISSN: | 0041-624X, 1874-9968, 1874-9968 |
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| Abstract | •To simulate the ultrasonic behavior of lithium-ion batteries, we developed a two-dimensional simulation model that considered the multi-layered porous structure of the battery by employing the Voronoi polygons.•A gray model based on the particle swarm optimization-based-simulated annealing (GM-PSO-SA) was established, which realized the prediction of the SOC under the condition of small samples data.•A detection and evaluation tool for the monitoring of the SOC is provided based on ultrasonic transmission method.
A multi-layered porous finite element model of lithium-ion battery is proposed by using Voronoi polygons. The time domain simulation of ultrasonic transmission characteristics with different state of charge (SOC) are carried out, and the variation of acoustic parameters versus SOCs is explored. Then, in the experiment research, the ultrasonic transmission signals are obtained by employing piezoelectric ceramic transducers during the discharging step. By extracting the time domain characteristic parameters, it is discovered that the amplitude and time-of-flight (TOF) have a strong correlation with SOC, the slow pressure-wave (SPW) velocities of the experiments correspond well with the simulation results. In addition, the frequency domain analysis shows a linear link between the amplitude of the frequency spectrum and SOC. Moreover, via repeated experiments, it is found that the ultrasonic transmission method has good repeatability in probing the SOC, and the SPW velocities acquired by experiments can almost be covered by 95% confidence interval formed based on the results of the simulation. Furthermore, according to the results of the experiments, a gray model based on the particle swarm optimization-based-simulated annealing (GM-PSO-SA) is established, which realized the prediction of the SOC under the condition of small sample data. The research results can serve as a reference for creating a comprehensive finite element model of the multi-layered porous structure of lithium-ion battery. Meanwhile, it also provides a detection and evaluation tool for the monitoring of the SOC. |
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| AbstractList | A multi-layered porous finite element model of lithium-ion battery is proposed by using Voronoi polygons. The time domain simulation of ultrasonic transmission characteristics with different state of charge (SOC) are carried out, and the variation of acoustic parameters versus SOCs is explored. Then, in the experiment research, the ultrasonic transmission signals are obtained by employing piezoelectric ceramic transducers during the discharging step. By extracting the time domain characteristic parameters, it is discovered that the amplitude and time-of-flight (TOF) have a strong correlation with SOC, the slow pressure-wave (SPW) velocities of the experiments correspond well with the simulation results. In addition, the frequency domain analysis shows a linear link between the amplitude of the frequency spectrum and SOC. Moreover, via repeated experiments, it is found that the ultrasonic transmission method has good repeatability in probing the SOC, and the SPW velocities acquired by experiments can almost be covered by 95% confidence interval formed based on the results of the simulation. Furthermore, according to the results of the experiments, a gray model based on the particle swarm optimization-based-simulated annealing (GM-PSO-SA) is established, which realized the prediction of the SOC under the condition of small sample data. The research results can serve as a reference for creating a comprehensive finite element model of the multi-layered porous structure of lithium-ion battery. Meanwhile, it also provides a detection and evaluation tool for the monitoring of the SOC. A multi-layered porous finite element model of lithium-ion battery is proposed by using Voronoi polygons. The time domain simulation of ultrasonic transmission characteristics with different state of charge (SOC) are carried out, and the variation of acoustic parameters versus SOCs is explored. Then, in the experiment research, the ultrasonic transmission signals are obtained by employing piezoelectric ceramic transducers during the discharging step. By extracting the time domain characteristic parameters, it is discovered that the amplitude and time-of-flight (TOF) have a strong correlation with SOC, the slow pressure-wave (SPW) velocities of the experiments correspond well with the simulation results. In addition, the frequency domain analysis shows a linear link between the amplitude of the frequency spectrum and SOC. Moreover, via repeated experiments, it is found that the ultrasonic transmission method has good repeatability in probing the SOC, and the SPW velocities acquired by experiments can almost be covered by 95% confidence interval formed based on the results of the simulation. Furthermore, according to the results of the experiments, a gray model based on the particle swarm optimization-based-simulated annealing (GM-PSO-SA) is established, which realized the prediction of the SOC under the condition of small sample data. The research results can serve as a reference for creating a comprehensive finite element model of the multi-layered porous structure of lithium-ion battery. Meanwhile, it also provides a detection and evaluation tool for the monitoring of the SOC.A multi-layered porous finite element model of lithium-ion battery is proposed by using Voronoi polygons. The time domain simulation of ultrasonic transmission characteristics with different state of charge (SOC) are carried out, and the variation of acoustic parameters versus SOCs is explored. Then, in the experiment research, the ultrasonic transmission signals are obtained by employing piezoelectric ceramic transducers during the discharging step. By extracting the time domain characteristic parameters, it is discovered that the amplitude and time-of-flight (TOF) have a strong correlation with SOC, the slow pressure-wave (SPW) velocities of the experiments correspond well with the simulation results. In addition, the frequency domain analysis shows a linear link between the amplitude of the frequency spectrum and SOC. Moreover, via repeated experiments, it is found that the ultrasonic transmission method has good repeatability in probing the SOC, and the SPW velocities acquired by experiments can almost be covered by 95% confidence interval formed based on the results of the simulation. Furthermore, according to the results of the experiments, a gray model based on the particle swarm optimization-based-simulated annealing (GM-PSO-SA) is established, which realized the prediction of the SOC under the condition of small sample data. The research results can serve as a reference for creating a comprehensive finite element model of the multi-layered porous structure of lithium-ion battery. Meanwhile, it also provides a detection and evaluation tool for the monitoring of the SOC. •To simulate the ultrasonic behavior of lithium-ion batteries, we developed a two-dimensional simulation model that considered the multi-layered porous structure of the battery by employing the Voronoi polygons.•A gray model based on the particle swarm optimization-based-simulated annealing (GM-PSO-SA) was established, which realized the prediction of the SOC under the condition of small samples data.•A detection and evaluation tool for the monitoring of the SOC is provided based on ultrasonic transmission method. A multi-layered porous finite element model of lithium-ion battery is proposed by using Voronoi polygons. The time domain simulation of ultrasonic transmission characteristics with different state of charge (SOC) are carried out, and the variation of acoustic parameters versus SOCs is explored. Then, in the experiment research, the ultrasonic transmission signals are obtained by employing piezoelectric ceramic transducers during the discharging step. By extracting the time domain characteristic parameters, it is discovered that the amplitude and time-of-flight (TOF) have a strong correlation with SOC, the slow pressure-wave (SPW) velocities of the experiments correspond well with the simulation results. In addition, the frequency domain analysis shows a linear link between the amplitude of the frequency spectrum and SOC. Moreover, via repeated experiments, it is found that the ultrasonic transmission method has good repeatability in probing the SOC, and the SPW velocities acquired by experiments can almost be covered by 95% confidence interval formed based on the results of the simulation. Furthermore, according to the results of the experiments, a gray model based on the particle swarm optimization-based-simulated annealing (GM-PSO-SA) is established, which realized the prediction of the SOC under the condition of small sample data. The research results can serve as a reference for creating a comprehensive finite element model of the multi-layered porous structure of lithium-ion battery. Meanwhile, it also provides a detection and evaluation tool for the monitoring of the SOC. |
| ArticleNumber | 107060 |
| Author | Jie, Gao Yang, Zheng Guorong, Song Binpeng, Zhang Yan, Lyu Yung-chun, Lee Cunfu, He |
| Author_xml | – sequence: 1 givenname: Zhang surname: Binpeng fullname: Binpeng, Zhang organization: Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China – sequence: 2 givenname: Lyu surname: Yan fullname: Yan, Lyu email: lvyan@bjut.edu.cn organization: Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China – sequence: 3 givenname: Gao surname: Jie fullname: Jie, Gao organization: Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China – sequence: 4 givenname: Song surname: Guorong fullname: Guorong, Song organization: Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China – sequence: 5 givenname: Zheng surname: Yang fullname: Yang, Zheng organization: Key Laboratory of Nondestructive Testing and Evaluation for State Market Regulation, China Special Equipment Inspection and Research Institute, Beijing, China – sequence: 6 givenname: Lee surname: Yung-chun fullname: Yung-chun, Lee organization: Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China – sequence: 7 givenname: He surname: Cunfu fullname: Cunfu, He organization: Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37406387$$D View this record in MEDLINE/PubMed |
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| Keywords | Voronoi polygons Lithium-ion battery State of charge Small sample prediction Ultrasonic transmission |
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| SubjectTerms | Lithium-ion battery Small sample prediction State of charge Ultrasonic transmission Voronoi polygons |
| Title | Ultrasonic characterization of multi-layered porous lithium-ion battery structure for state of charge |
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