NLPQL of control rules for improving fuel economy of a parallel hydraulic hybrid bus

International Journal of Modelling, Identification and Control

Volumn 7, Issue 4, 2009, Pages 315-320

  Yan, Yecui ^a   Liu, Guoqing ^a   Chen, Jie ^a   Na, Tianming ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Control rules; Fuel economy; NLPQL; Non linear programming by quadratic lagrangian; Optimisation; Parallel hydraulic hybrid bus; PHHB

Indexed keywords

BUSES; FUELS; HYBRID SYSTEMS; HYBRID VEHICLES; LAGRANGE MULTIPLIERS; NONLINEAR PROGRAMMING; ROADS AND STREETS;

CONTROL RULES; HYDRAULIC HYBRIDS; LAGRANGIAN; NLPQL; OPTIMISATIONS; PHHB;

FUEL ECONOMY;

EID: 68949217807     PISSN: 17466172     EISSN: 17466180     Source Type: Journal    
DOI: 10.1504/IJMIC.2009.027882     Document Type: Article

References (5)

1. GB/T 19754 (2005) 'Test methods for energy consumption of heavy-duty hybrid electric vehicle, Appendix B, Typical urban bus cycle data in China'.
2. Imagine, S.A. (2003) AMESim User Manual, April, Vol. 4.1.
3. Lin, C., Kang, J., Grizzle, J.W. and Peng, H (2001) 'Energy management strategy for a parallel hybrid electric truck', Proceedings of the 2001 American Control Conference, pp.2878-2883, June, Arlington, VA.
4. Schittkowski, K. (1985/86) 'NLPQL: A Fortran subroutine for solving constrained nonlinear programming problems', Annals of Operations Research, Vol. 5, pp.485-500.
5. Wu, B., Lin, C.C., Filipi, Z., Peng, H. and Assanis, D. (2004) 'Optimal power management for a hydraulic hybrid delivery truck', Vehicle System Dynamics, Vol. 42, Nos. 1-2, pp.23-40.