Control System Development for an Advanced-Technology Medium-Duty Hybrid Electric Truck University of Michigan

Format:

Conference/Event

Author/Creator:

Lin, Chan-Chiao, author.

Conference Name:

International Truck and Bus Meeting & Exposition (2003-11-10 : Ft. Worth, Texas, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2003

Summary:

The power management control system development and vehicle test results for a medium-duty hybrid electric truck are reported in this paper. The design procedure adopted is a model-based approach, and is based on the dynamic programming technique. A vehicle model is first developed, and the optimal control actions to maximize fuel economy are then obtained by the dynamic programming method. A near-optimal control strategy is subsequently extracted and implemented using a rapid-prototyping control development system, which provides a convenient environment to adjust the control algorithms and accommodate various I/O configurations. Dynamometer-testing results confirm that the proposed algorithm helps the prototype hybrid truck to achieve a 45% fuel economy improvement on the benchmark (non-hybrid) vehicle. It also compares favorably to a conventional rule-based control method, which only achieves a 31% fuel economy improvement on the same hybrid vehicle

Notes:

Vendor supplied data

Publisher Number:

2003-01-3369

Access Restriction:

Restricted for use by site license