He, Hongwen

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Zhang, Y., Xiong, R., He, H., & Pecht, M. G. (2018) · IEEE Transactions on Vehicular Technology

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 1,326

Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach

He, H., Xiong, R., & Fan, J. (2011) · Energies

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 1,180

State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model

He, H., Xiong, R., Zhang, X., Sun, F., & Fan, J. (2011) · IEEE Transactions on Vehicular Technology

Battery Modeling and ManagementElectric and Hybrid Vehicle Technologies

Cited by 825

Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles

He, H., Xiong, R., & Guo, H. (2012) · Applied Energy

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 388

A Double-Scale, Particle-Filtering, Energy State Prediction Algorithm for Lithium-Ion Batteries

Xiong, R., Zhang, Y., He, H., Zhou, X., & Pecht, M. G. (2018) · IEEE Transactions on Industrial Electronics

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 285

Health-conscious deep reinforcement learning energy management for fuel cell buses integrating environmental and look-ahead road information

Jia, C., Zhou, J., He, H., Li, J., Wei, Z., & Li, K. (2024) · Energy

Electric and Hybrid Vehicle TechnologiesVehicle emissions and performance

Cited by 131

A novel Gaussian model based battery state estimation approach: State-of-Energy

He, H., Zhang, Y., Xiong, R., & Wang, C. (2015) · Applied Energy

Battery Modeling and ManagementControl Systems and Identification

Cited by 127

Deep reinforcement learning-based energy management strategy for fuel cell buses integrating future road information and cabin comfort control

Jia, C., Liu, W., He, H., & Chau, K. T. (2024) · Energy Conversion and Management

Electric and Hybrid Vehicle TechnologiesVehicle emissions and performance

Cited by 125

Structural analysis based sensors fault detection and isolation of cylindrical lithium-ion batteries in automotive applications

Liu, Z., Ahmed, Q., Zhang, J., Rizzoni, G., & He, H. (2016) · Control Engineering Practice

Fault Detection and Control SystemsBattery Modeling and Management

Cited by 90

An improved vehicle to the grid method with battery longevity management in a microgrid application

Yang, Q., Li, J., Cao, W., Li, S., Lin, J., Huo, D., & He, H. (2020) · Energy

Electric Vehicles and InfrastructureSmart Grid Energy Management

Cited by 54

A novel health-aware deep reinforcement learning energy management for fuel cell bus incorporating offline high-quality experience

Jia, C., He, H., Zhou, J., Li, J., Wei, Z., & Li, K. (2023) · Energy

Electric and Hybrid Vehicle TechnologiesElectric Vehicles and Infrastructure

Cited by 25