With the technological advancements of recent decades, the growing demand for electronic devices highlights the need for batteries with greater autonomy and efficiency to keep up with the fast pace of modern society. Although lithium-ion batteries offer advantages such as high energy density and safety, they still face challenges regarding autonomy and fast charging. The battery swapping system emerges as an alternative to reduce charging time, ensuring that users have quick access to charged and well-maintained batteries. An important parameter to monitor in this context is the state of health (SoH), as it evaluates the efficiency and safety of the batteries. The Fuzzy logic system proposed in this work aims to provide a reliable estimate of SoH, considering the handling of cells over time and the usage conditions. The Fuzzy approach is advantageous due to its flexibility, allowing for a rule-based analysis that mimics the human decision-making process, ideal for dealing with uncertainties and operational variations. Consequently, a SoH estimation model was developed that is precise, easy to implement, and computationally inexpensive, making it suitable for everyday devices. As an example of the results obtained with the adopted model, the Centroid method presented a root mean square error (RMSE) with values of 0.017, 0.022, and 0.021 for currents of 1A, 2A, and 3A, respectively, which were identified as the most appropriate, demonstrating its high precision and effectiveness in estimating battery health. The proposed model has the potential to contribute to the reliability of battery swapping systems, enhance user experience, and extend the lifespan of portable equipment.