Katharina Bær
Division of Fluid and Mechatronic Systems, Department of Management and Engineering, Linköping University, Linköping, Sweden
Liselott Ericson
Division of Fluid and Mechatronic Systems, Department of Management and Engineering, Linköping University, Linköping, Sweden
Petter Krus
Division of Fluid and Mechatronic Systems, Department of Management and Engineering, Linköping University, Linköping, Sweden
Ladda ner artikel
http://dx.doi.org/10.3384/ecp1392a11Ingår i: 13th Scandinavian International Conference on Fluid Power; June 3-5; 2013; Linköping; Sweden
Linköping Electronic Conference Proceedings 92:11, s. 107-112
Publicerad: 2013-09-09
ISBN: 978-91-7519-572-8
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
Hydraulic hybrids continue to receive attention as a possible solution in the search for improved fuel economy for different vehicle types. This paper presents a model for a series hydraulic hybrid light-duty vehicle; developed in the Hopsan simulation tool of Linköping University’s Division of Fluid and Mechatronic Systems (Flumes). Focusing on the hydraulic transmission which employs a pump control based on the hydraulic accumulator’s state-of-charge (SoC); several simplifications were made; especially concerning mechanical components. Simulation over two urban standard cycles shows promising results concerning dynamic performance and energy recuperation potential; provided sufficient component sizing to compensate for the mechanical limitations. This paper lays the foundation for both a further refined model - suitable for optimizing the full drivetrain; including component sizing and controller parameterization - and the development of comparable models for parallel and power-split hybrid architectures
[1] K-E Rydberg. Energy Efficient Hydraulic Hybrid Drives. Proc. of the 11th Scandinavian Internation-al Conference on Fluid Power; Linköping; Sweden; 2009.
[2] Y Yan; G Liu; and J Chen. Integrated Modeling and Optimization of a Parallel Hydraulic Hybrid Bus. International Journal of Automotive Technology; 11(1):97-104; 2010.
[3] S Baseley; C Ehret; E Greif; and M G Kliffken. Hy-draulic Hybrid Systems for Commercial Vehicles. Proc. of SAE 2007 Commercial Vehicle Engineer-ing Congress and Exhibition; Rosemont; Illinois; United States; 2007.
[4] C-T Li; and H Peng. Optimal Configuration Design for Hydraulic Split Hybrid Vehicles. Proc. of 2010 American Control Conference; Baltimore; Mary-land; United States; 2010.
[5] K A Stelson; J J Meyer; A G Alleyne; and B Hen-cey. Optimization of a Passenger Hydraulic Hybrid Vehicle to Improve Fuel Economy. Proc. of the 7th JFPS International Symposium on Fluid Power; Toyama; Japan; 2008.
[6] Y J Kim; and Z Filipi. Simulation Study of a Series Hydraulic Hybrid Propulsion System for a Light Truck. Proc. of SAE 2007 Commercial Vehicle En-
gineering Congress and Exhibition; Rosemont; Illi-nois; United States; 2007.
[7] K L Cheong; P Y Li; S Sedler; and T R Chase. Comparison between Input Coupled and Output Coupled Power-split Configurations in Hybrid Ve-hicles. Proc. of the 52nd National Conference on Fluid Power; Las Vegas; Nevada; United States; 2011.
[8] B Eriksson; P Nordin; and P Krus. Hopsan NG; A C++ Implementation using the TLM Simulation Technique. Proc. of the 51st Conference on Simula-tion and Modelling; Oulu; Finland; 2010.
[9] K-E Rydberg. On Performance Optimization and Digital Control of Hydrostatic Drives for Vehicle Applications; PhD thesis; Linköping University; 1983.
[10] J D Van de Ven; M W Olson; and P Y Li. Develop-ment of a Hydro-Mechanical Hydraulic Hybrid Drive Train with Independent Wheel Torque Con-trol for an Urban Passenger Vehicle. Proc. of Inter-national Fluid Power Exhibition; Las Vegas; Ne-vada; United States; 2008.
[11] F Wang; M I Ramdan; and K A Stelson. Compari-son between Hydraulic Hybrid and Electric Hybrid Passenger Vehicle using ADVISOR 2004. Proc. of the 52nd National Conference on Fluid Power; Las Vegas; Nevada; United States; 2011.
[12] United States Environmental Protection Agency. Dynamometer Drive Schedules. Available at: http://www.epa.gov/nvfel/testing/dynamometer.htm (Accessed 2013-05-23).
[13] H Sun. Multi-objective optimization for hydraulic hybrid vehicle based on adaptive simulated an-nealing genetic algorithm. Engineering Applica-tions of Artificial Intelligence; 23(1):27-33; 2010.
