5 citations · 14 across the 6 of their papers we have counts for
6 papers
Progress and summary of reinforcement learning on energy management of MPS-EV
Jincheng Hu, Yang Lin, Liang Chu +4
The high emission and low energy efficiency caused by internal combustion engines (ICE) have become unacceptable under environmental regulations and the energy crisis. As a promisi…
A novel learning-based robust model predictive control energy management strategy for fuel cell electric vehicles
Shibo Li, Zhuoran Hou, Liang Chu +2
The multi-source electromechanical coupling makes the energy management of fuel cell electric vehicles (FCEVs) relatively nonlinear and complex especially in the types of 4-wheel-d…
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model
Shilin Pu, Liang Chu, Zhuoran Hou +3
Accurate traffic conditions prediction provides a solid foundation for vehicle-environment coordination and traffic control tasks. Because of the complexity of road network data in…
Transfer Learning and Vision Transformer based State-of-Health prediction of Lithium-Ion Batteries
Pengyu Fu, Liang Chu, Zhuoran Hou +3
In recent years, significant progress has been made in transportation electrification. And lithium-ion batteries (LIB), as the main energy storage devices, have received widespread…
Spatial-Temporal Feature Extraction and Evaluation Network for Citywide Traffic Condition Prediction
Shilin Pu, Liang Chu, Zhuoran Hou +3
Traffic prediction plays an important role in the realization of traffic control and scheduling tasks in intelligent transportation systems. With the diversification of data source…
A Transferable Intersection Reconstruction Network for Traffic Speed Prediction
Pengyu Fu, Liang Chu, Zhuoran Hou +3
Traffic speed prediction is the key to many valuable applications, and it is also a challenging task because of its various influencing factors. Recent work attempts to obtain more…