1998-02-23

Intelligent Control of Hybrid Vehicles Using Neural Networks and Fuzzy Logic 981061

This paper discusses the use of intelligent control techniques for the control of a parallel hybrid electric vehicle powertrain. Artificial neural networks and fuzzy logic are used to implement a load leveling strategy. The resulting vehicle control unit, a supervisory controller, coordinates the powertrain components. The presented controller has the ability to adapt to different drivers and driving cycles. This allows a control strategy which includes both fuel-economy and performance modes. The strategy was implemented on the Ohio State University FutureCar.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 18% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
JOURNAL ARTICLE

Control Analysis under Different Driving Conditions for Peugeot 3008 Hybrid 4

2014-01-1818

View Details

TECHNICAL PAPER

The Development of NiMH BMS Application Layer Software of HEV Based on Simulink/Stateflow and Targetlink

2008-01-1568

View Details

TECHNICAL PAPER

The ETX-II Drive And Brake-By-Wire System

885084

View Details

X