This article proposes an ultrasonic wave-based method for the accurate and rapid SoH estimation of lithium-ion (Li-ion) battery, enabled by combining the benefits of nondestructive ultrasonic detection and interpretable data-driven solution. In particular, an Li-ion battery is externally equipped with an ultrasonic sensor to promise fast real
In this study, we propose a multifeature indicators SOC estimation method for hard-shell lithium-ion battery using ultrasonic reflected waves. We analyze wave structure and
In this paper, a joint estimation method for a lithium iron phosphate battery''s SOC and temperature based on ultrasonic reflection waves is proposed. A piezoelectric transducer is affixed to the surface of the battery for ultrasonic–electric transduction.
In this paper, we present an ultrasonic method for measuring the specific gravity of lead-acid battery electrolyte and study its frequency and temperature characteristics. This method uses an improved frequency scanning ultrasonic pulse echo reflectometer with a two-transducer configuration. The velocity and attenuation coefficient (1 to 30MHz
Zhang et al. (2023) have further advanced our understanding by introducing non-destructive methods for the joint estimation of SOC and temperature using ultrasonic reflected waves, highlighting their importance in
In this study, we propose a multifeature indicators SOC estimation method for hard-shell lithium-ion battery using ultrasonic reflected waves. We analyze wave structure and X-ray computed tomography (CT) result to identify echo origins.
Ultrasonic technology, as a non-invasive diagnostic method, has been widely applied in the inspection of lithium-ion batteries in recent years. This study provides a comprehensive review of the current applications and technical challenges of ultrasonic
Once batteries are characterized, ultrasound is used to measure SoC and SoH in real-time, resulting in superior accuracy. Meanwhile, dynamic measurements generate the capacity and lifetime of batteries, eliminating the need for the artificial buffers used in traditional BMS to compensate for a lack of real-time data.
This article proposes an ultrasonic wave-based method for the accurate and rapid SoH estimation of lithium-ion (Li-ion) battery, enabled by combining the benefits of
Lithium-ion batteries (LIBs) are becoming an important energy storage solution to achieve carbon neutrality, but it remains challenging to characterise their internal states for the assurance of
2 天之前· Nondestructive ultrasonic testing is finding increasing use in battery science. We provide instructions and software for the development of a low cost, modular, and easy to use scanning acoustic microscope. Basic principles of ultrasonic testing are discussed with particular attention to its application for operando characterization of batteries. An example
This study confirms the feasibility of using phased array ultrasonic technology for lithium-ion battery state characterization and provides a new method and approach for research in this area. Current research has successfully enabled the rapid detection of micro gas formation inside large-format aluminum shell batteries, but it has yet to
In the engineering application, based on the proposed ultrasonic guided wave nondestructive testing method, multi-region state parameter of large size lithium-ion batteries can enable effective detection, especially the new generation of LiFePO4 power batteries, such as blade batteries and Kirin batteries, etc. Meanwhile, it is beneficial to assist the battery
A number of studies advocate the use of lithium-ion (Li-ion) batteries, as an energy storage solution, due to their low weight, high energy density and long service life [1, 2].Within Li-ion batteries, there are many variants that employ different types of negative electrode (NE) materials such as graphite [3, 4] and lithium titanium oxide (LTO) [5, 6].
Once batteries are characterized, ultrasound is used to measure SoC and SoH in real-time, resulting in superior accuracy. Meanwhile, dynamic measurements generate the capacity and lifetime of batteries, eliminating the
The development of new energy vehicles is an important measure for promoting green and low-carbon transportation [[1], [2] indicate the received ultrasonic signals of the new battery, while the green and blue curves represent that of the aged battery. It is notable that the signal amplitude decreases significantly after 650 cycles. A comparison of the guided
In this paper, a joint estimation method for a lithium iron phosphate battery''s SOC and temperature based on ultrasonic reflection waves is proposed. A piezoelectric transducer is affixed to the surface of the battery for
With the advantages of integrated air-coupled ultrasound, this method has great potential, opening a new field for the electric-quantity-state estimation of lithium batteries. Future work will involve how to improve the signal-to-noise ratio of the lithium battery during the detection process, accurately monitoring the state of charge of the
Ultrasonic technology, as a non-invasive diagnostic method, has been widely applied in the inspection of lithium-ion batteries in recent years. This study provides a comprehensive review of the current applications and technical challenges of ultrasonic technology in lithium-ion batteries.
Lithium-ion batteries, with high energy density (up to 705 Wh/L) and power density (up to 10,000 W/L), exhibit high capacity and great working performance.
Accurately estimating the state of charge (SoC) in battery management systems (BMSs) requires the measurement of numerous parameters and advanced
2 Measuring Acoustic Properties of Lithium-Ion Battery Cell Materials 2.1 Development of the Measurement Setup. The measurement setup was designed to ensure the application of homogeneous pressure to the samples while
This alteration in acoustic resistance results in greater reflection of ultrasonic wave energy. Download: Download high-res image (310KB the accuracy of SoC estimation via ultrasonic methods is significantly improved. This study is the first to combine BPNNs with ultrasonic echo signals for SoC estimation and battery health state prediction. Representative
In this paper, a contactless electromagnetic ultrasonic testing technology is proposed for characterizing the states of lithium-ion batteries. The relationship between the ultrasonic frequency and wave velocity is analyzed via a finite element model. Meanwhile, the influence of battery boundary characteristics on ultrasonic signals is investigated.
Accurately estimating the state of charge (SoC) in battery management systems (BMSs) requires the measurement of numerous parameters and advanced algorithms. This work studies multifrequency ultrasonic waves to estimate the SoC of Li-ion batteries by sensing the material changes during charge/discharge.
Because of the complex physiochemical nature of the lithium-ion battery, it is difficult to identify the internal changes that lead to battery degradation and failure. This study develops an ultrasonic sensing technique for monitoring the commercial lithium-ion pouch cells and demonstrates this technique through experimental studies. Data fusion analysis is
2 天之前· Nondestructive ultrasonic testing is finding increasing use in battery science. We provide instructions and software for the development of a low cost, modular, and easy to use scanning acoustic microscope. Basic principles of
This study confirms the feasibility of using phased array ultrasonic technology for lithium-ion battery state characterization and provides a new method and approach for
With the advantages of integrated air-coupled ultrasound, this method has great potential, opening a new field for the electric-quantity-state estimation of lithium batteries. Future work will involve how to improve the
In this paper, a contactless electromagnetic ultrasonic testing technology is proposed for characterizing the states of lithium-ion batteries. The relationship between the
A comprehensive overview and analysis of the technical approaches, challenges, and solutions for the application of ultrasonic technology in battery state estimation is provided. The current state, main technical approaches, and challenges of ultrasonic technology in battery defect and fault diagnosis are summarized.
Direct use of parameters such as ultrasonic amplitude, frequency, and ToF for SOC estimation has accuracy issues, but ultrasonic detection methods have a wealth of data available for analyzing the internal state of the battery. These features make it possible to implement the ultrasonic method using data-driven approaches. Fig. 4.
Effective state-of-health (SoH) estimation is highly valuable for ensuring battery performance and safety. This article proposes an ultrasonic wave-based method for the accurate and rapid SoH estimation of lithium-ion (Li-ion) battery, enabled by combining the benefits of nondestructive ultrasonic detection and interpretable data-driven solution.
Table 1 highlights that ultrasonic technology is one of the most promising NDT methods for battery assessment. This technique enables direct evaluation of the internal condition and identification of imperfections within the battery.
Ultrasonic battery testing involves monitoring the changes in the mechanical properties of the battery material (such as density and modulus) characterized by parameters (TOF, SA, etc.) of ultrasonic waves propagating inside the battery.
Thirdly, it outlines the current status, main technological approaches, and challenges of ultrasonic technology in battery defect and fault diagnosis, including defect detection, lithium plating, gassing, battery wetting, and thermal runaway early warning, revealing the diversity and potential applicability of ultrasonics in battery research.
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