Acoustic Emission Technique for Battery Health Monitoring: Comprehensive Literature Review
The rapid adoption of electric vehicles (EVs) has increased the demand for efficient methods to assess the state of health (SoH) of lithium-ion batteries (LIBs). Accurate and prompt evaluations are essential for safety, battery life extension, and performance optimization. While traditional techniqu...
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MDPI AG
2025-01-01
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| Series: | Batteries |
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| Online Access: | https://www.mdpi.com/2313-0105/11/1/14 |
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| author | Eliška Sedláčková Anna Pražanová Zbyněk Plachý Nikola Klusoňová Vaclav Knap Karel Dušek |
| author_facet | Eliška Sedláčková Anna Pražanová Zbyněk Plachý Nikola Klusoňová Vaclav Knap Karel Dušek |
| author_sort | Eliška Sedláčková |
| collection | DOAJ |
| description | The rapid adoption of electric vehicles (EVs) has increased the demand for efficient methods to assess the state of health (SoH) of lithium-ion batteries (LIBs). Accurate and prompt evaluations are essential for safety, battery life extension, and performance optimization. While traditional techniques such as electrochemical impedance spectroscopy (EIS) are commonly used to monitor battery degradation, acoustic emission (AE) analysis is emerging as a promising complementary method. AE’s sensitivity to mechanical changes within the battery structure offers significant advantages, including speed and non-destructive assessment, enabling evaluations without disassembly. This capability is particularly beneficial for diagnosing second-life batteries and streamlining decision-making regarding the management of used batteries. Moreover, AE enhances diagnostics by facilitating early detection of potential issues, optimizing maintenance, and improving the reliability and longevity of battery systems. Importantly, AE is a non-destructive technique and belongs to the passive method category, as it does not introduce any external energy into the system but instead detects naturally occurring acoustic signals during the battery’s operation. Integrating AE with other analytical techniques can create a comprehensive tool for continuous battery condition monitoring and predictive maintenance, which is crucial in applications where battery reliability is vital, such as in EVs and energy storage systems. This review not only examines the potential of AE techniques in battery health monitoring but also underscores the need for further research and adoption of these techniques, encouraging the academic community and industry professionals to explore and implement these methods. |
| format | Article |
| id | doaj-art-7c7bd3f36ba640229ad992948e6ad00f |
| institution | Kabale University |
| issn | 2313-0105 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Batteries |
| spelling | doaj-art-7c7bd3f36ba640229ad992948e6ad00f2025-01-24T13:22:25ZengMDPI AGBatteries2313-01052025-01-011111410.3390/batteries11010014Acoustic Emission Technique for Battery Health Monitoring: Comprehensive Literature ReviewEliška Sedláčková0Anna Pražanová1Zbyněk Plachý2Nikola Klusoňová3Vaclav Knap4Karel Dušek5Department of Electrotechnology, Faculty of Electrical Engineering, Czech Technical University in Prague, 160 00 Prague, Czech RepublicDepartment of Electrotechnology, Faculty of Electrical Engineering, Czech Technical University in Prague, 160 00 Prague, Czech RepublicDepartment of Electrotechnology, Faculty of Electrical Engineering, Czech Technical University in Prague, 160 00 Prague, Czech RepublicDepartment of Electrotechnology, Faculty of Electrical Engineering, Czech Technical University in Prague, 160 00 Prague, Czech RepublicDepartment of Electrotechnology, Faculty of Electrical Engineering, Czech Technical University in Prague, 160 00 Prague, Czech RepublicDepartment of Electrotechnology, Faculty of Electrical Engineering, Czech Technical University in Prague, 160 00 Prague, Czech RepublicThe rapid adoption of electric vehicles (EVs) has increased the demand for efficient methods to assess the state of health (SoH) of lithium-ion batteries (LIBs). Accurate and prompt evaluations are essential for safety, battery life extension, and performance optimization. While traditional techniques such as electrochemical impedance spectroscopy (EIS) are commonly used to monitor battery degradation, acoustic emission (AE) analysis is emerging as a promising complementary method. AE’s sensitivity to mechanical changes within the battery structure offers significant advantages, including speed and non-destructive assessment, enabling evaluations without disassembly. This capability is particularly beneficial for diagnosing second-life batteries and streamlining decision-making regarding the management of used batteries. Moreover, AE enhances diagnostics by facilitating early detection of potential issues, optimizing maintenance, and improving the reliability and longevity of battery systems. Importantly, AE is a non-destructive technique and belongs to the passive method category, as it does not introduce any external energy into the system but instead detects naturally occurring acoustic signals during the battery’s operation. Integrating AE with other analytical techniques can create a comprehensive tool for continuous battery condition monitoring and predictive maintenance, which is crucial in applications where battery reliability is vital, such as in EVs and energy storage systems. This review not only examines the potential of AE techniques in battery health monitoring but also underscores the need for further research and adoption of these techniques, encouraging the academic community and industry professionals to explore and implement these methods.https://www.mdpi.com/2313-0105/11/1/14acousticsdegradationlithium-ion batteriesstate of healthbattery diagnostics |
| spellingShingle | Eliška Sedláčková Anna Pražanová Zbyněk Plachý Nikola Klusoňová Vaclav Knap Karel Dušek Acoustic Emission Technique for Battery Health Monitoring: Comprehensive Literature Review Batteries acoustics degradation lithium-ion batteries state of health battery diagnostics |
| title | Acoustic Emission Technique for Battery Health Monitoring: Comprehensive Literature Review |
| title_full | Acoustic Emission Technique for Battery Health Monitoring: Comprehensive Literature Review |
| title_fullStr | Acoustic Emission Technique for Battery Health Monitoring: Comprehensive Literature Review |
| title_full_unstemmed | Acoustic Emission Technique for Battery Health Monitoring: Comprehensive Literature Review |
| title_short | Acoustic Emission Technique for Battery Health Monitoring: Comprehensive Literature Review |
| title_sort | acoustic emission technique for battery health monitoring comprehensive literature review |
| topic | acoustics degradation lithium-ion batteries state of health battery diagnostics |
| url | https://www.mdpi.com/2313-0105/11/1/14 |
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