6533b872fe1ef96bd12d37f1

RESEARCH PRODUCT

Multi Architecture Optimization of a Hybrid Electric Vehicle Using Object-Oriented Programming

Luis Le-moyneShiyu GanDaniela ChrenkoPhillipe Bouillot

subject

Battery (electricity)Object-oriented programmingbusiness.product_categoryComputer science020209 energyControl engineering02 engineering and technologySizingPower (physics)Unified Modeling LanguageControl systemElectric vehicle0202 electrical engineering electronic engineering information engineeringFuel efficiencybusinesscomputercomputer.programming_language

description

This article presents an energetic macroscopic representation multi-architecture model for hybrid vehicles using object-oriented programming. This approach is successfully used to evaluate the power performance and fuel consumption of different vehicles on different driving cycles. An optimization of power source sizing (ICE, EM and Battery) and system control, based on simulation results, is carried. Different architectures are compared for given cycles and optimization of hybrid architecture will also be possible.

yearjournalcountryeditionlanguage
2017-12-012017 IEEE Vehicle Power and Propulsion Conference (VPPC)
https://doi.org/10.1109/vppc.2017.8330989