Han, Xuebing

A review on the key issues for lithium-ion battery management in electric vehicles

Lu, L., Han, X., Li, J., Hua, J., & Ouyang, M. (2013) · Journal of Power Sources

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 4,837

A review on the key issues of the lithium ion battery degradation among the whole life cycle

Han, X., Lu, L., Zheng, Y., Feng, X., Li, Z., Li, J., & Ouyang, M. (2019) · eTransportation

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 1,745

A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification

Han, X., Ouyang, M., Lu, L., Li, J., Zheng, Y., & Li, Z. (2014) · Journal of Power Sources

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 822

Online State-of-Health Estimation for Li-Ion Battery Using Partial Charging Segment Based on Support Vector Machine

Feng, X., Weng, C., He, X., Han, X., Lu, L., Ren, D., & Ouyang, M. (2019) · IEEE Transactions on Vehicular Technology

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 505

Investigating carbon footprint and carbon reduction potential using a cradle-to-cradle LCA approach on lithium-ion batteries for electric vehicles in China

Chen, Q., Lai, X., Gu, H., Tang, X., Gao, F., Han, X., & Zheng, Y. (2022) · Journal of Cleaner Production

Environmental Impact and SustainabilityElectric Vehicles and Infrastructure

Cited by 251

Questions and Answers Relating to Lithium-Ion Battery Safety Issues

Huang, W., Feng, X., Han, X., Zhang, W., & Jiang, F. (2021) · Cell Reports Physical Science

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 226

LiFePO4 battery pack capacity estimation for electric vehicles based on charging cell voltage curve transformation

Zheng, Y., Lu, L., Han, X., Li, J., & Ouyang, M. (2013) · Journal of Power Sources

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 214

Intelligent state of health estimation for lithium-ion battery pack based on big data analysis

Song, L., Zhang, K., Liang, T., Han, X., & Zhang, Y. (2020) · Journal of Energy Storage

Battery Modeling and ManagementElectric and Hybrid Vehicle Technologies

Cited by 197

Specialized Deep Neural Networks for Battery Health Prognostics: Opportunities and Challenges

Zhao, J., Han, X., Ouyang, M., & Burke, A. F. (2023) · Journal of Energy Chemistry

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 129

A capacity prediction framework for lithium-ion batteries using fusion prediction of empirical model and data-driven method

Zheng, Y., Cui, Y., Han, X., & Ouyang, M. (2021) · Energy

Battery Modeling and ManagementControl Systems and Identification

Cited by 80

Global parametric sensitivity analysis of equivalent circuit model based on Sobol’ method for lithium-ion batteries in electric vehicles

Lai, X., Meng, Z., Wang, S., Han, X., Zhou, L., Sun, T., Li, X., Wang, X., Ma, Y., & Zheng, Y. (2021) · Journal of Cleaner Production

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 58

Cross-Material Battery Capacity Estimation Using Hybrid-Model Fusion Transfer Learning

Zhao, J., Qu, X., Han, X., Wu, Y., & Burke, A. F. (2025) · Journal of Power Sources

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 45

Fast grading method based on data driven capacity prediction for high-efficient lithium-ion battery manufacturing

Yuan, Y., Kong, X., Hua, J., Pan, Y., Sun, Y., Han, X., Yang, H., Li, Y., Liu, X., Zhou, X., et al. (2023) · Journal of Energy Storage

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 25