This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Control System Development for an Advanced-Technology Medium-Duty Hybrid Electric Truck
Technical Paper
2003-01-3369
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
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.
Recommended Content
Technical Paper | A New Tool for Advanced Vehicle Simulations |
Technical Paper | Design, Modeling and Hardware Implementation of a Next Generation Extended Range Electric Vehicle |
Technical Paper | Modeling and Simulation of Small Hybrid |
Authors
Topic
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.Also In
References
- Nellums, R. Steffen, J. Naito, S. “Class 4 Hybrid Truck for Pick Up and Delivery Applications,” SAE International Truck & Bus Meeting & Exhibition SAE Paper 2003-01-3368 November 2003
- Phillips, A. Jankovic, M. Bailey, K. “Vehicle System Controller Design for a Hybrid Electric Vehicle,” Proceedings of the 2000 IEEE International Conference on Control Applications Alaska September 2000
- Paganelli, G. Ercole, G. Brahma, A. Guezennec, Y. Rizzoni, G. “General Supervisory Control Policy for the Energy Optimization of Charge-Sustaining Hybrid Electric Vehicles.” JSAE Review 22 2001 511 518
- Lee, H.-D. Sul, S.K. Cho, H.S. Lee, J.M. “Advanced Gear Shifting and Clutching Strategy for Parallel Hybrid Vehicle with Automated Manual Transmission,” IEEE Industry Applications Conference 1998
- Rahman, Z. Butler, K. Ehsani, M. “A Comparison Study Between Two Parallel hybrid Control Concepts,” SAE Paper , No. 2000-01-0994 2000
- Wipke, K. Cuddy, M. Burch, S. “ADVISOR 2.1: a user-friendly advanced powertrain simulation using a combined backward/forward approach,” IEEE Transaction on Vehicular Technology 48 6 1999 1751 1761
- Baumann, B. M. Washington, G. N. Glenn, B. C. Rizzoni, G. “Mechatronic Design and Control of Hybrid Electric Vehicles,” IEEE/ASME Transactions on Mechatronics 5 1 2000 58 72 2000
- Schouten, N. Salman, M. Kheir, N. “Fuzzy Logic Control for Parallel Hybrid Vehicles,” IEEE Transactions on Control Systems Technology 10 3 May 2002 460 468
- Lin, C.-C. Kang, J. Grizzle, J. W. Peng, H. “Energy Management Strategy for a Parallel Hybrid Electric Truck,” Proceedings of the 2001 American Control Conference Arlington, VA June 2001 2878 2883
- Bertsekas, D. P. Dynamic Programming and Optimal Control Athena Scientific 1995