Plug-in hybrid electric vehicles (PHEVs) offer an immediate solution for emissions reduction
and fuel displacement within the current infrastructure. Targeting PHEV powertrain …

The gradual decline in global oil reserves and presence of ever so stringent emissions rules
around the world, have created an urgent need for the production of automobiles with …

Presence of an alternative energy source along with the Internal Combustion Engine (ICE)
in Hybrid Electric Vehicles (HEVs) appeals for optimal power split between them for …

The growing necessity for environmentally benign hybrid propulsion systems has led to the
development of advanced power management control algorithms to maximize fuel economy …

Hybrid vehicle fuel economy performance is highly sensitive to the energy management
strategy used to regulate power flow among the various energy sources and sinks. Optimal …

Energy optimization for plug-in hybrid electric vehicles (PHEVs) is a challenging problem
due to the system complexity and many physical and operational constraints in PHEVs. In …

This paper describes two different control strategies for a fuel-cell-based hybrid electric
vehicle (FCHEV). The offline strategy is based on dynamic programming, and the online …

Plug-in hybrid electric vehicles (PHEVs) are one of the most promising solutions that can
improve the fuel economy and reduce emissions. The fuel consumption of PHEVs is affected …

Compared to conventional internal combustion engine (ICE) propelled vehicles, hybrid
electric vehicles (HEVs) can achieve both higher fuel economy and lower pollution …

A power management framework for hybrid electric vehicles (HEVs) is proposed based on
deep reinforcement learning (DRL) with a Long Short-Term Memory (LSTM) network to …