Energy Storage Battery Health Management

To prevent probable battery failures and ensure safety, battery state of health evaluation is a critical step. This study lays out a coherent literature review on battery health estimation techniques to assist the research community with helpful information.

More research on pack and module-level health monitoring techniques that address the cell balancing issues, electromagnetic interference, measurement flaws, and data shortage issues will better predict the battery risk and failure scenarios. Research on co-estimation techniques that combine two or more battery states is explored less for LIBs.

Often, SoH of batteries is monitored for an efficient battery management system design [ 36 ]. But estimating the dynamic status parameters of a battery, such as SoH and related issues, will be useful in obtaining the best suitable method for battery health monitoring.

By leveraging these capabilities, users can promptly identify abnormal battery conditions, take timely maintenance actions, and extend the battery's service life. Additionally, the BMS provides detailed health status reports and maintenance recommendations, helping users to better manage and maintain their batteries.

1. Introduction Many applications such as smart grids, hybrid electric vehicles, electric vehicles, and energy consumer electronics require excellent energy storage devices for which rechargeable batteries are an excellent option.

This complexity makes monitoring and predicting the battery's state of health (SOH) crucial for understanding and managing the degradation process, which, in turn, facilitates better control over the battery's performance and overall lifespan.