<p>Energy storage, especially lithium-ion battery systems, is crucial in contemporary technology and energy management, propelled by the rapid progress of renewable energy and electric cars. Monitoring the health status and battery life projections of these devices has emerged as a critical issue, underscoring the imperative to ensure their optimal performance, security, and durability. Traditional monitoring techniques, such as electrochemical testing and temperature analysis, exhibit constraints in real-time functionality and accuracy. Recently, in situ magnetic techniques have demonstrated significant advantages in predicting the status of energy storage devices due to their non-invasive nature, enhanced sensitivity, and real-time monitoring capabilities, which are essential for the progress of green energy and integrated mechatronic systems. This research analyzes progress in the utilization of in situ magnetic techniques for the monitoring and prediction of energy storage systems, namely lithium-ion batteries. Moreover, it encompasses the application of different in situ methods for the accurate prediction of various lithium battery types. Future improvements will focus on optimizing the technology and using artificial intelligence to enhance the precision and efficacy of monitoring. We provide a distinctive monitoring methodology that improves our understanding of significant value and fosters the continuous development of magnetic testing procedures in the energy storage industry.</p>