Affiliation:
1. Department of Information Engineering, University of Florence, Via di S. Marta 3, 50139 Florence, Italy
Abstract
In the era of Industry 4.0, achieving optimization in production and minimizing environmental impact has become vital. Energy management, particularly in the context of smart grids, plays a crucial role in ensuring sustainability and efficiency. Lithium-ion batteries have emerged as a leading technology for energy storage due to their versatility and performances. However, accurately assessing their State of Health (SOH) is essential for maintaining grid reliability. While discharge capacity and internal resistance (IR) are commonly used SOH indicators, battery impedance also offers valuable insights into aging degradation. This article explores the use of Electrochemical Impedance Spectroscopy (EIS) to define the SOH of lithium batteries. By analyzing impedance spectra at different frequencies, a comprehensive understanding of battery degradation is obtained. A life cycle analysis is conducted on cylindrical Li–Mn batteries under various discharge conditions, utilizing EIS measurements and an Equivalent Circuit Model (ECM). This study highlights the differential effects of aging on battery characteristics, emphasizing the variations at different life stages and the behavior changes on each region of the impedance spectrum. Furthermore, it demonstrates the efficacy of EIS and the advantages of this technique compared to the solely IR measurements used in tracking SOH over time. This research contributes to advancing the understanding of lithium battery degradation and underscores the importance of EIS in defining their State of Health for Smart Grids applications.
Reference44 articles.
1. All-Around Approach for Reliability of Measurement Data in the Industry 4.0;Gaspari;IEEE Instrum. Meas. Mag.,2021
2. Mechatronics Applications of Measurements for Smart Manufacturing in an Industry 4.0 Scenario;Gaspari;IEEE Instrum. Meas. Mag.,2019
3. Catelani, M., Ciani, L., Bartolini, A., Del Rio, C., Guidi, G., and Patrizi, G. (2021). Reliability Analysis of Wireless Sensor Network for Smart Farming Applications. Sensors, 21.
4. Evaluation of Designing Techniques for Reliability of Internet of Things (IoT);Singh;Int. J. Eng. Trends Technol.,2023
5. Looking at energy through the lens of Industry 4.0: A systematic literature review of concerns and challenges;Crovato;Comput. Ind. Eng.,2020
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