Fuel consumption models have been widely used to predict fuel consumption and evaluate
new vehicle technologies. However, due to the uncertainty and high nonlinearity of fuel …

Constrained by traditional fuel-saving technologies that have almost reached the limit of fuel-
saving potential, the difficulty in changing urban congestion, and the low market penetration …

Transportation is responsible for a substantial fraction of worldwide energy consumption and
greenhouse gas emissions and is the largest sector after energy production. However, while …

A fuel-optimal control algorithm is developed for a heavy diesel truck that utilizes information
about the road topography ahead of the vehicle when the route is known. A prediction model …

This paper presents an optimization algorithm for energy-efficient driving of electric vehicles.
The algorithm is based on Pontryagin's Minimum Principle by considering the driving …

Recently, the Formula 1 propulsion system has evolved from being a conventional
combustion engine toward a highly integrated hybrid electric powertrain. Since 2014, the …

When controlling the energy flow among multiple power sources in electrified powertrains,
the typically non-convex set of the original formulation is relaxed to a convex super-set, and …

Hybrid Electric Vehicles (HEVs) enable fuel savings by re-using kinetic and potential energy
that was recovered and stored in a battery during braking or driving down hill. Besides, the …

Most existing fuel consumption models are based on steady-state fuel mapping. However,
these models cannot provide satisfactory predictions for vehicles operating under transient …

Since 2014, the Formula 1 power unit has consisted of an internal combustion engine
equipped with an electrified turbocharger and a powerful electric motor with regenerative …