Browsing School of Engineering and Materials Science by Author "Xue, Q"
Now showing items 1-5 of 5
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Capacity Prediction and Validation of Lithium-Ion Batteries Based on Long Short-Term Memory Recurrent Neural Network
Chen, Z; Xue, Q; Wu, Y; Shen, S; Zhang, Y; Shen, J (2020) -
Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution
Xue, Q; Li, G; Zhang, Y; Shen, S; Chen, Z; Liu, Y (Elsevier, 2020-09-24)© 2020 Elsevier B.V. Lithium-ion battery packs are widely deployed as power sources in transportation electrification solutions. To ensure safe and reliable operation of battery packs, it is of critical importance to monitor ... -
Remaining Useful Life Prediction for Lithium-ion Batteries Based on Capacity Estimation and Box-Cox Transformation
Xue, Q; Shen, S; Li, G; Zhang, Y; Chen, Z; Liu, Y (IEEE, 2020-01-01)IEEE Remaining useful life (RUL) prediction of lithium-ion batteries plays an important role in intelligent battery management systems (BMSs). The current RUL prediction methods are mainly developed based on offline training, ... -
State of Health Estimation for Lithium-Ion Batteries Based on Elman Neural Network
Chen, Z; Xue, Q; Liu, Y; Shen, J; Xiao, R (DEStech Publications, 2019-10-31) -
State of Health Estimation for Lithium-Ion Batteries Based on Healthy Features and Long Short-Term Memory
Wu, Y; Xue, Q; Shen, J; Lei, Z; Chen, Z; Liu, Y (IEEE, 2020-01-01)Precise estimation of state of health (SOH) are of great importance for proper operation of lithium-ion batteries equipped in electric vehicles. For real applications, it is however difficult to estimate battery SOH due ...