2014•Journal of Henan University of Science & TechnologyRequires access

Matching and Optimization for Powertrain System of Parallel Hybrid Electric City Bus

Gao Jian-pin

Abstract

The parameter matching of the powertrain system of the hybrid electric city bus has a directly impact on the performance of the dynamic and the fuel economy. This paper made the preliminary matching of the powertrain system on the basis of the analysis of the driving cycle. Then software of the AVL-Cruise and the Matlab were integrated to optimize parameters of matching by using the combinatorial optimization algorithm which is established by the multi-island GA and NLPQL. The results show that the fuel economy is improved by 10. 92% without sacrificing the dynamic performance under the premise of ensuring the limit of the state of charge of battery.

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Available abstract

Key concepts: Powertrain, MATLAB, Automotive engineering, Matching (statistics), Driving cycle, Optimal matching, State of charge, Computer science