Control System Development for an Advanced-Technology Medium-Duty Hybrid Electric Truck 2003-01-3369
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.
Citation: Lin, C., Peng, H., Grizzle, J., Liu, J. et al., "Control System Development for an Advanced-Technology Medium-Duty Hybrid Electric Truck," SAE Technical Paper 2003-01-3369, 2003, https://doi.org/10.4271/2003-01-3369. Download Citation
Author(s):
Chan-Chiao Lin, Huei Peng, Jessy W. Grizzle, Jason Liu, Matt Busdiecker
Affiliated:
University of Michigan, Eaton Corporation
Pages: 11
Event:
International Truck & Bus Meeting & Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Ngvs and Hybrid-Powered Trucks-SP-1815, SAE 2003 Transactions Journal of Commercial Vehicles-V112-2
Related Topics:
Hybrid electric vehicles
Fuel economy
Optimization
Control systems
Mathematical models
Rapid prototyping
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