Deng, Zhongwei

Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression

Deng, Z., Hu, X., Lin, X., Che, Y., Xu, L., & Guo, W. (2020) · Energy

Battery Modeling and ManagementControl Systems and Identification

Cited by 423

Health Prognosis for Electric Vehicle Battery Packs: A Data-Driven Approach

Hu, X., Che, Y., Lin, X., & Deng, Z. (2020) · IEEE/ASME Transactions on Mechatronics

Battery Modeling and ManagementElectric and Hybrid Vehicle Technologies

Cited by 206

State of health prognostics for series battery packs: A universal deep learning method

Che, Y., Deng, Z., Li, P., Tang, X., Khosravinia, K., Lin, X., & Hu, X. (2022) · Energy

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 116

State-of-health estimation for fast-charging lithium-ion batteries based on a short charge curve using graph convolutional and long short-term memory networks

He, Y., Deng, Z., Chen, J., Li, W., Zhou, J., Xiang, F., & Hu, X. (2024) · Journal of Energy Chemistry

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 75

Lifetime and Aging Degradation Prognostics for Lithium-ion Battery Packs Based on a Cell to Pack Method

Che, Y., Deng, Z., Tang, X., Lin, X., Nie, X., & Hu, X. (2022) · Chinese Journal of Mechanical Engineering

Battery Modeling and ManagementReliability and Maintenance Optimization

Cited by 64