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Optimally Controlling Hybrid Electric Vehicles using Path Forecasting

delete2009-01-01
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OA
AI
G
Georgia-Evangelia Katsargyri *
I
Ilya Kolmanovsky
J
John Michelini
M
Ming Kuang
A
Anthony M. Phillips
M
Michael Rinehart
M
Munther A. Dahleh
DOI:10.1109/ACC.2009.5160504delete
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摘要

摘要

En 中文
The paper examines path-dependent control of Hybrid Electric Vehicles (HEVs). In this approach we seek to improve HEV fuel economy by optimizing charging and discharging of the vehicle battery depending on the forecasted vehicle route. The route is decomposed into a series connection of route segments with (partially) known properties. The dynamic programming is used as a tool to quantify the benefits offered by route information availability.
Keyword:
ENERGY MANAGEMENT AGENT
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期刊

A
American Control Conference
IF:
0
论文数:
17
被引数:
0

机构

F
Ford Motor Company
学者数:
1.1K
论文数: 975
被引数: 2
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