Optimization of Series Hybrid Electric Vehicle Operational Parameters By Simulated Annealing Algorithm
- 1 May 2007
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 19483449,p. 1536-1541
Abstract
Aimed at solving the more and more serious problems of energy and pollution, hybrid electric vehicle (HEV) is one of the best practical applications for transportation with high fuel economy and low emission. Since the extent of improvement included with HEV greatly depends on selection of the operational parameters, simulated annealing (SA) algorithm is introduced to optimize the operational parameters for fuel economy and emissions in this paper. Compared with one of the widest used strategies, dividing rectangles (DIRECT), the computation procedure of simulated annealing algorithm are discussed, and simulation study based on the model of series hybrid electric vehicle is given to illustrate the optimization feasibility of the simulated annealing algorithm.Keywords
This publication has 9 references indexed in Scilit:
- Power management strategy for a parallel hybrid electric truckIEEE Transactions on Control Systems Technology, 2003
- Stochastic algorithms in electromagnetic optimizationIEEE Transactions on Magnetics, 1998
- Fuzzy-logic-based torque control strategy for parallel-type hybrid electric vehicleIEEE Transactions on Industrial Electronics, 1998
- A rule-based energy management strategy for a series hybrid vehicle1997
- The Annealing Algorithm1989
- Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithmJournal of Optimization Theory and Applications, 1985
- A Monte carlo simulated annealing approach to optimization over continuous variablesJournal of Computational Physics, 1984
- Optimization by Simulated AnnealingScience, 1983
- Equation of State Calculations by Fast Computing MachinesThe Journal of Chemical Physics, 1953