Global warming, air pollution, and fuel depletion have accelerated the deployment of hybrid
electric vehicles (HEVs). Apart from the energy management, the configuration of hybrid …

Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …

The series hybrid transmission (SHT) and series-parallel hybrid transmission (SPHT) have
become an important development direction in the field of hybrid electric vehicles (HEVs) in …

Electrified vehicles are considered a promising technology for energy savings and emission
reductions. Both powertrain design (configuration design and component sizing) and energy …

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 energy management approach of hybrid electric vehicles has the potential to overcome
the increasing energy crisis and environmental pollution by reducing the fuel consumption …

Due to the ignorance of dynamic characteristics of powertrains, existing frameworks for co-
optimizing component sizing and energy management of hybrid powertrains may lead to …

This paper aims to fully exploit the superior advantages in improving energy economy and
dynamic performance of an electric vehicle powertrain equipped with two motors and multi …

Electrifying the ground vehicles is a promising approach to alleviating the energy and
climate issues. The adoption of an electric vehicle (EV) and a hybrid EV (HEV) has …

Existing research has focused on battery intrinsic optimization, Hybrid Energy Storage
System (HESS), and powertrain control perspectives to enhance battery life. However, the …