Zhang, Chenbin

A novel temperature-compensated model for power Li-ion batteries with dual-particle-filter state of charge estimation

Liu, X., Chen, Z., Zhang, C., & Wu, J. (2014) · Applied Energy

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 235

A method for joint estimation of state-of-charge and available energy of LiFePO4 batteries

Wang, Y., Zhang, C., & Chen, Z. (2014) · Applied Energy

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 200

A method for state of energy estimation of lithium-ion batteries based on neural network model

Dong, G., Zhang, X., Zhang, C., & Chen, Z. (2015) · Energy

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 187

A method for state of energy estimation of lithium-ion batteries at dynamic currents and temperatures

Liu, X., Wu, J., Zhang, C., & Chen, Z. (2014) · Journal of Power Sources

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 176

An online model-based method for state of energy estimation of lithium-ion batteries using dual filters

Dong, G., Chen, Z., Wei, J., Zhang, C., & Wang, P. (2016) · Journal of Power Sources

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 139

Data‐driven lithium‐ion battery states estimation using neural networks and particle filtering

Zhang, C., Zhu, Y., Dong, G., & Wei, J. (2019) · International Journal of Energy Research

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 87