Jia, Chunchun

Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information

Li, K., Zhou, J., Jia, C., Yi, F., & Zhang, C. (2024) · International Journal of Hydrogen Energy

Electric and Hybrid Vehicle TechnologiesVehicle emissions and performance

Cited by 180

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

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

A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction

Zhou, J., Shu, X., Zhang, J., Yi, F., Jia, C., Zhang, C., Kong, X., Zhang, J., & Wu, G. (2024) · International Journal of Hydrogen Energy

Fuel Cells and Related MaterialsElectric and Hybrid Vehicle Technologies

Cited by 119

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