Worldwide, transportation accounts for 18% of global carbon dioxide emissions (as of 2019).
In order to battle the impending threat of climate change, consumers and industry must …

The impact of internal combustion engine-powered automobiles on climate change due to
emissions and the depletion of fossil fuels has contributed to the progress of electrified …

Motion prediction is the fundamental input for decision-making in autonomous vehicles. The
current motion prediction solutions are designed with a strong reliance on black box …

Due to the ever-increasing harmful emissions affecting natural life and health seriously, it is
inevitable the usage of renewable energy sources instead of fossil resources in the near …

Motivated by the concerns on transported fuel consumption and global air pollution,
industrial engineers and academic researchers have made many efforts to construct more …

Deep reinforcement learning-based energy management strategy play an essential role in
improving fuel economy and extending fuel cell lifetime for fuel cell hybrid electric vehicles …

The formulation of high-efficient energy management strategy (EMS) for hybrid electric
vehicles (HEVs) becomes the most crucial task owing to the variation of electrified …

Advanced algorithms can promote the development of energy management strategies
(EMSs) as a key technology in hybrid electric vehicles (HEVs). Reinforcement learning (RL) …

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 …

Hybrid electric vehicles (HEVs) have been developed extensively thanks to the inherent
merits of both internal combustion engine vehicles (ICEVs) and battery electric vehicles …