This article presents a fundamental evaluation of different clustering methods for analyzing
driving cycles toward the efficient design of electric machines. It uses clusters of operating …

This article proposes an energy-efficiency strategy based on the optimization of driving
patterns for an electric vehicle (EV). The EV studied in this paper is a commercial vehicle …

The electrification of the automotive has recently shaped the current revolution in
transportation. Many automotive companies are now producing their own electric vehicle …

This paper presents parametric analysis of driving range of electric vehicles driven by V-type
interior permanent magnet motors aiming at maximum driving range, ie, minimal total energy …

The energy economy of fuel cell electric vehicles (FCEVs) plays a crucial role in determining
their practicality, making the optimization of energy management strategies (EMS) essential …

This study offers a neural network-based deep learning method for energy optimization
modeling in electric vehicles (EV). The pre-processed driving cycle is transformed into static …

Assessing the energy performances of a vehicle on the road requires collecting large data
samples to ensure repeatability of the measurements despite the many variables which …

In this article, to improve the adjustment ability of air gap flux, a new interior permanent
magnet (IPM) synchronous machine with permeability modulation characteristics is …

Modern electric machines operate within a wide range of torque-speed operating points.
Real drive cycles of a real vehicle cannot be tested in the given lab with machines that have …

When designing motors for complex applications, optimization with multiple operating
conditions in mind can greatly improve overall efficiency while ensuring output capability. In …