Efficient training for energy management in fuel cell hybrid electric vehicles: An imitation learning-embedded deep reinforcement learning framework
J Peng, T Ren, Z Chen, W Chen, C Wu, C Ma - Journal of Cleaner …, 2024 - Elsevier
Deep reinforcement learning (DRL)-based methods have become predominant in the field
of energy management strategy (EMS) today. However, DRL methods are often burdened …
of energy management strategy (EMS) today. However, DRL methods are often burdened …
Hierarchical Intelligent Energy-Saving Control Strategy for Fuel Cell Hybrid Electric Buses Based on Traffic Flow Predictions
M Li, L Yin, M Yan, J Wu, H He, C Jia - Energy, 2024 - Elsevier
Vehicles' perception capability of environmental situations has been enhanced in the
connected environment. However, the utilization of abundant and diverse traffic information …
connected environment. However, the utilization of abundant and diverse traffic information …
Energy consumption prediction strategy for electric vehicle based on LSTM-transformer framework
Z Feng, J Zhang, H Jiang, X Yao, Y Qian, H Zhang - Energy, 2024 - Elsevier
As the market share of electric vehicles (EVs) continues to grow, driving range capability has
emerged as a primary concern for drivers, car manufacturers, and policymakers. Accurate …
emerged as a primary concern for drivers, car manufacturers, and policymakers. Accurate …