The rapid development of intelligent transportation system (ITS) offers great opportunities to
improve the overall performance of energy management strategies (EMSs) for connected …

Efficient operation technique has always been one of the common goals for researches both
in automobile industrial and academic areas. With the great progress of automobile …

Hybrid Electric Vehicles (HEVs) have been proven to be a promising solution to
environmental pollution and fuel savings. The benefit of the solution is generally realized as …

Speed forecasting has numerous applications in intelligent transport systems' design and
control, especially for safety and road efficiency applications. In the field of electromobility, it …

A novel deep reinforcement learning (DRL) control framework for the energy management
strategy of the series hybrid electric tracked vehicle (SHETV) is proposed in this paper …

The fuel cell hybrid electric vehicle (FCHEV) has earned great interest among the
automotive industry in recent years. However, the power allocation strategy between proton …

The stochastic driving cycles pose a challenge to the actual implementation of the control
strategy for fuel cell electric vehicles (FCEVs). Considering the problem, this research …

The DC-DC converter for fuel cell vehicles should be characterized by high-gain, low
voltage stress, small size and high-efficiency. However, conventional two-level, three-level …

Simulation testing based on virtual scenarios can improve the efficiency of safety testing for
high-level autonomous vehicles (AVs). In most traffic scenarios, such as merging scenarios …

An emergency can occur at any time. To overcome that emergency efficiently, we require
seamless movement on the road to approach the destination within a limited time by using …