Control System Development for an Advanced-Technology Medium-Duty Hybrid Electric Truck | Zendy

Chan-Chiao Lin | Zendy; Huei Peng | Zendy; Jessy W. Grizzle | Zendy; Jason Liu | Zendy; Matt Busdiecker | Zendy

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

Author(s) -

Chan-Chiao Lin,

Huei Peng,

Jessy W. Grizzle,

Jason Liu,

Matt Busdiecker

Publication year - 2003

Publication title -

sae technical papers on cd-rom/sae technical paper series

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.295

H-Index - 107

eISSN - 1083-4958

pISSN - 0148-7191

DOI - 10.4271/2003-01-3369

Subject(s) - truck , computer science , duty , control system , automotive engineering , engineering , electrical engineering , philosophy , theology

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 was based on the dynamic programming technique. A vehicle model is first developed, the optimal control action that maximizes fuel economy is then solved by the dynamic programming method. A near-optimal control strategy is subsequently extracted and implemented in the MATLAB XPC-Target rapid-prototyping system, which provides a convenient environment to adjust the control algorithms and accommodate various I/O configurations. Dyno-testing results confirm that the proposed algorithm helps the prototype truck to achieves an impressive 45% fuel economy improvement over the benchmark vehicle.

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