Abstract

The efficiency improvement of parallel hybrid electric vehicles (HEVs) is strongly dependent on how the supervisory control of a vehicle determines the power split between the internal combustion engine (ICE) and the electric motor of the vehicle. This paper presents a classification of current supervisory control techniques with distinction between dynamic and static control methods; a description of the simulation software ADvanced Vehicle SimulatOR (ADVISOR) with Matlab Simulink for simulation of a rule-based control strategy, and proposed optimization methods.

Meeting Name

IEEE Vehicle Power and Propulsion Conference (2008: Sep. 3-5, Harbin, China)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Electric Motors; Hybrid Electric Vehicles; Internal Combustion Engines; Machine Control Optimisation; ADVISOR; Control Classification; Route Prediction; Rule-Based Control; Supervisory Control; Automobile Simulators; Automobiles; Concurrency Control; Control Theory; Electric Automobiles; Electric Machinery; Electric Vehicles; Fuzzy Control; Internal Combustion Engines; MATLAB; Motors; Optimization; Propulsion; SCADA Systems; Secondary Batteries; System Stability; Vehicles; Ice Control

International Standard Book Number (ISBN)

9781424418480

International Standard Serial Number (ISSN)

1938-8756

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2008 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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