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Title: Self-learning control system for plug-in hybrid vehicles

Abstract

A system is provided to instruct a plug-in hybrid electric vehicle how optimally to use electric propulsion from a rechargeable energy storage device to reach an electric recharging station, while maintaining as high a state of charge (SOC) as desired along the route prior to arriving at the recharging station at a minimum SOC. The system can include the step of calculating a straight-line distance and/or actual distance between an orientation point and the determined instant present location to determine when to initiate optimally a charge depleting phase. The system can limit extended driving on a deeply discharged rechargeable energy storage device and reduce the number of deep discharge cycles for the rechargeable energy storage device, thereby improving the effective lifetime of the rechargeable energy storage device. This "Just-in-Time strategy can be initiated automatically without operator input to accommodate the unsophisticated operator and without needing a navigation system/GPS input.

Inventors:
 [1]
  1. Knoxville, TN
Issue Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1011391
Patent Number(s):
7,849,944
Application Number:
12/137,744
Assignee:
UT-Battelle, LLC (Oak Ridge, TN) ORO
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Patent
Country of Publication:
United States
Language:
English

Citation Formats

DeVault, Robert C. Self-learning control system for plug-in hybrid vehicles. United States: N. p., 2010. Web.
DeVault, Robert C. Self-learning control system for plug-in hybrid vehicles. United States.
DeVault, Robert C. Tue . "Self-learning control system for plug-in hybrid vehicles". United States. https://www.osti.gov/servlets/purl/1011391.
@article{osti_1011391,
title = {Self-learning control system for plug-in hybrid vehicles},
author = {DeVault, Robert C},
abstractNote = {A system is provided to instruct a plug-in hybrid electric vehicle how optimally to use electric propulsion from a rechargeable energy storage device to reach an electric recharging station, while maintaining as high a state of charge (SOC) as desired along the route prior to arriving at the recharging station at a minimum SOC. The system can include the step of calculating a straight-line distance and/or actual distance between an orientation point and the determined instant present location to determine when to initiate optimally a charge depleting phase. The system can limit extended driving on a deeply discharged rechargeable energy storage device and reduce the number of deep discharge cycles for the rechargeable energy storage device, thereby improving the effective lifetime of the rechargeable energy storage device. This "Just-in-Time strategy can be initiated automatically without operator input to accommodate the unsophisticated operator and without needing a navigation system/GPS input.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2010},
month = {12}
}

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