Comparing Dynamic Programming Optimal Control Strategies for a Series Hybrid Drivetrain

Paper #:
  • 2017-01-2457

Published:
  • 2017-10-08
Abstract:
A two-state forward dynamic programming algorithm is evaluated in a series hybrid drive-train application with the objective to minimize fuel consumption when look-ahead information is available. The states in the new method are battery state-of-charge and engine speed. The new method is compared to one-state dynamic programming optimization methods where the requested generator power is found such that the fuel consumption is minimized and engine speed is given by the optimum power-speed efficiency line. The other method compared is to run the engine at a given operating point where the system efficiency is highest, finding the combination of engine run requests over the drive-cycle that minimizes the fuel consumption. The work has included the engine torque and generator power as control signals and is evaluated in a full vehicle-simulation model based on the Volvo Car Corporation VSIM tool. Lowest fuel consumption is obtained by the new two-state method, with 12 % less fuel consumed compared to operating the engine in the system efficiency sweet spot.
Access
Now
SAE MOBILUS Subscriber? You may already have access.
Buy
Attention: This item is not yet published. Pre-Order to be notified, via email, when it becomes available.
Select
Price
List
Download
$27.00
Mail
$27.00
Members save up to 40% off list price.
Share
HTML for Linking to Page
Page URL

Related Items

Technical Paper / Journal Article
2011-04-12
Technical Paper / Journal Article
2011-04-12
Technical Paper / Journal Article
2011-04-12
Standard
2009-01-13