4 papers
Estimation of Cell-to-Cell Variation and State of Health for Battery Modules with Parallel-Connected Cells
Qinan Zhou, Jing Sun
Estimating cell-to-cell variation (CtCV) and state of health (SoH) for battery modules composed of parallel-connected cells is challenging when only module-level signals are measur…
Insights into dendritic growth mechanisms in batteries: A combined machine learning and computational study
Zirui Zhao, Junchao Xia, Si Wu +5
In recent years, researchers have increasingly sought batteries as an efficient and cost-effective solution for energy storage and supply, owing to their high energy density, low c…
Battery State of Health Estimation and Incremental Capacity Analysis under Dynamic Charging Profile Using Neural Networks
Qinan Zhou, Gabrielle Vuylsteke, R. Dyche Anderson +1
Incremental capacity analysis (ICA) and differential voltage analysis (DVA) are two effective approaches for battery degradation monitoring. One limiting factor for their real-worl…
State of Health Estimation for Battery Modules with Parallel-Connected Cells Under Cell-to-Cell Variations
Qinan Zhou, Dyche Anderson, Jing Sun
State of health (SOH) estimation for lithium-ion battery modules with cells connected in parallel is a challenging problem, especially with cell-to-cell variations. Incremental cap…