Patent · US Active

Adaptive control strategy and method for optimizing hybrid electric vehicles

US7954579B2 · kind B2 · utility

36Cited by

7References

20Claims

0Family size

Assignee

Illinois Institute of Technology · US

Inventors

Fernando Rodriguez · Austin, US
Srdjan Lukic · Raleigh, US
Ali Emadi · Burlington, CA

Key dates

Filing date	Feb 4, 2008
Grant date	Jun 7, 2011
Priority date	—
Expiry date	Apr 16, 2029

Classification

Technology area (CPC Y)Emerging Cross-Sectional Technologies
CPC primaryY10S903/93
WIPO fieldTransport
WIPO sectorMechanical engineering

Abstract

This invention relates a control strategy for a hybrid electric vehicle having an electric motor, a battery and an internal combustion engine. The control strategy improves fuel economy and reduces emissions while providing sufficient acceleration over a varying set of driving conditions through an adaptive control unit with an artificial neural network. The artificial neural network is trained on a pre-processed training set based on the highest fuel economies of multiple control strategies and multiple driving profiles. Training the artificial neural network includes a training algorithm and a learning algorithm. The invention also includes a method of operating a hybrid electric vehicle with an adaptive control strategy using an artificial neural network.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.