We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Cross-Stitch Networks for Joint State of Charge and State of Health Online Estimation of Lithium-Ion Batteries.
- Authors
Yao, Jiaqi; Neupert, Steven; Kowal, Julia
- Abstract
As a superior solution to the developing demand for energy storage, lithium-ion batteries play an important role in our daily lives. To ensure their safe and efficient usage, battery management systems (BMSs) are often integrated into the battery systems. Among other critical functionalities, BMSs provide information about the key states of the batteries under usage, including state of charge (SOC) and state of health (SOH). This paper proposes a data-driven approach for the joint online estimation of SOC and SOH utilizing multi-task learning (MTL) approaches, particularly highlighting cross-stitch units and cross-stitch networks. The proposed model is able to achieve an accurate estimation of SOC and SOH in online applications with optimized information sharing and multi-scale implementation. Comprehensive results on training and testing of the model are presented. Possible improvements for future work are also discussed in the paper.
- Subjects
LITHIUM-ion batteries; CROSS-stitch; BATTERY management systems; ELECTRIC batteries; ENERGY storage; ENERGY consumption; LITHIUM ions
- Publication
Batteries, 2024, Vol 10, Issue 6, p171
- ISSN
2313-0105
- Publication type
Article
- DOI
10.3390/batteries10060171