The rapid development of intelligent and connected technologies is conducive to the
efficient energy utilization of hybrid electric vehicles (HEVs). However, most energy …

At present, hybrid electric vehicles are regarded as an effective way to solve global
environmental pollution and energy shortage. Energy management strategy is the core …

Vehicle modularization has become an emerging trend in the automotive industry, leading to
research on modular configuration, composition, and related control strategies. In this paper …

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 …

Committed to optimizing the fuel economy of hybrid electric vehicles (HEVs), improving the
working conditions of the engine, and promoting research on deep reinforcement learning …

Essential decision-making tasks such as power management in future vehicles will benefit
from the development of artificial intelligence technology for safe and energy-efficient …

In the future complex intelligent transportation environments, lane-changing behavior of
surrounding vehicles is a significant factor affecting the driving safety. It is necessary to …

Fuel cell hybrid electric vehicles (FCHEV) are one of the most promising new energy
vehicles. The cost and lifetime of its powertrain have limited its commercial development …

Under the complicated driving conditions, the sharp acceleration and deceleration actions
would cause the high-rate charge and discharge current of electric driving system in hybrid …

This paper proposes a real-time energy management strategy (EMS) for hybrid electric
vehicles by incorporating reinforcement learning (RL) in a model predictive control (MPC) …