Wang, Zhenpo

Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks

Li, X., Zhang, L., Wang, Z., & Dong, P. (2019) · Journal of Energy Storage

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 445

State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis

Li, X., Wang, Z., Zhang, L., Zou, C., & Dorrell, D. D. (2019) · Journal of Power Sources

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 388

State-of-Health Estimation for Lithium-Ion Batteries Based on the Multi-Island Genetic Algorithm and the Gaussian Process Regression

Wang, Z., Ma, J., & Zhang, L. (2017) · IEEE Access

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 205

Online accurate state of health estimation for battery systems on real-world electric vehicles with variable driving conditions considered

Hong, J., Wang, Z., Chen, W., Wang, L., Lin, P., & Qu, C. (2021) · Journal of Cleaner Production

Battery Modeling and ManagementElectric and Hybrid Vehicle Technologies

Cited by 166

A data-fusion framework for lithium battery health condition Estimation Based on differential thermal voltammetry

Li, X., Yuan, C., Wang, Z., & Xie, J. (2022) · Energy

Battery Modeling and ManagementControl Systems and Identification

Cited by 56