Vehicle speed profile prediction using neural networks

US9663111B2 · kind B2 · utility

Assignees

• Ford Global Technologies, LLC · US
• THE REGENTS OF THE UNIVERSITY OF MICHIGAN · US

Inventors

• Johannes Geir Kristinsson · Ann Arbor, US
• Ryan Abraham McGee · Ann Arbor, US
• Anthony Mark Phillips · Northville, US
• Ming Lang Kuang · Canton, US
• Wenduo Wang · Ann Arbor, US
• Jungme Park · Oxford, US
• Yi Murphey · Ann Arbor, US
• Chen Fang · Sunnyvale, US

Key dates

• Filing date: May 30, 2014
• Grant date: May 30, 2017
• Expiry date: Jul 9, 2034

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02T10/62
• WIPO field: Transport
• WIPO sector: Mechanical engineering

Abstract

A vehicle includes a powertrain having an electric machine and an engine. The vehicle also includes a controller programmed to operate the powertrain according to a predicted vehicle speed profile for a predetermined route segmented according to a group of driving zone types, wherein each driving zone type is associated with a different characteristic speed profile shape and vehicle location. The controller is further programmed to update the predicted segment speed profile in response to deviation between the predicted speed profile and a measured speed profile.