About
Contact & Profiles
A5106417532
Research Areas
- Advanced Battery Technologies Research
- Advanced Algorithms and Applications
- Advancements in Battery Materials
- Fault Detection and Control Systems
- Electric and Hybrid Vehicle Technologies
Huaqiao University
2024
Accurately estimating the state of charge (SOC) is crucial for energy storage battery management systems as it ensures performance and extends lifespan. However, existing deep learning-based methods often overlook dynamic process information during charging discharging, which compromises accuracy SOC estimation. To address this limitation, paper proposes a novel estimation method. First, we employ differential processing on collected voltage, current, temperature data to capture feature...
10.1149/1945-7111/ad5efa
article
EN
publisher-specific-oa
Journal of The Electrochemical Society
2024-07-01
10.1016/j.seta.2024.103989
article
EN
Sustainable Energy Technologies and Assessments
2024-09-20
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