Hybrid electric vehicles can achieve better fuel economy than conventional by utilizing multiple power sources. While these sources have been controlled rule-based or optimization-based control algorithms, recent studies shown that machine learning-based algorithms such as online Deep Reinforcement Learning (DRL) effectively the well. However, optimization and training processes for DRL-based p...

Metrics and measures for physical phenomena are precisely defined and widely accepted. However, metrics and measures for intelligent systems are as yet vaguely defined and controversial. Even the definition of intelligence is not widely agreed upon. A number of metrics and measures have been developed for measuring human performance in scholastic aptitude, athletic ability, and task performance...

A definition of intelligence is given in terms of performance that can be quantitatively measured. Behaviors required of unmanned ground vehicles are described and computational requirements for intelligent control at seven hierarchical levels in a military scout platoon are outlined. Metrics and measurements are suggested for evaluating the performance of unmanned ground vehicles. Calibrated d...

This paper presents a generic technique for improving hybrid algorithms through the discovery of and tuning of meta-heuristics. The idea is to represent a family of “push/pull” heuristics that are based upon inserting and removing tasks in a current solution, with an algebra. We then let a learning algorithm search for the best possible algebraic term, which represents a hybrid algorithm for a ...

Development of power electronics and real time control technology for Hybrid Electric Vehicle (HEV) is presented. These include AC drives with real time torque control, compact and rugged induction motors, auxiliary electric circuits etc. In this paper developed a set of DSP based circuits for AC Induction Motor Drives for EVs. It provides torque control for propulsion and power control for gen...

This paper describes the modeling of dual hybrid electric vehicle drivetrain and proposes a hybrid control system for controlling the drivetrains. In dual hybrid electric drivetrains, the energy from the engine passes through the planetary gear set and is split into the generator and motor paths. A complete dual hybrid electric drivetrain system model is developed. The modeling process is discu...

A definition of intelligence is given in terms of performance that can be quantitatively measured. Behaviors required of unmanned ground vehicles are described and computational requirements for intelligent control at seven hierarchical levels in a military scout platoon are outlined. Metrics and measurements are suggested for evaluating the performance of unmanned ground vehicles. Calibrated d...

Metrics and measures for physical phenomena are precisely defined and widely accepted. However, metrics and measures for intelligent systems are as yet vaguely defined and controversial. Even the definition of intelligence is not widely agreed upon. A number of metrics and measures have been developed for measuring human performance in scholastic aptitude, athletic ability, and task performance...

There are possibilities to reduce the fuel consumption in trucks using hybrid technology. New components are added when hybridizing a vehicle, and these need to be monitored due to safety and legislative demands. Diagnosis aspects due to hybridization of the powertrain are investigated using a model of a long haulage truck. Such aspects are for example that there are more mode switches in the h...