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Optimal Matching on Driving System of Hydraulic Hybrid Vehicle

Authors
Publisher
Elsevier Ltd
Publication Date
Volume
15
Identifiers
DOI: 10.1016/j.proeng.2011.08.981
Keywords
  • Optimal Matching
  • Hydraulic Hybrid Vehicle
  • Rule Based Knowledge-Base
Disciplines
  • Computer Science
  • Design
  • Mathematics

Abstract

Abstract General algorithms can not well solve the problems as complex constrainted design variables and non-function mapping relationship between variables and their constraints. A rule based knowledge-base adaptive simulated annealing genetic algorithm (RBK ASAGA) was used to make optimization matching of hydraulic hybrid vehicle's (HHV) driving system. Simulations on optimized HHV under the circumstance of Simulink with a start-stop-start working cycle according to the corresponding energy have got the consistent conclusion which shows that the proposed RBK ASAGA is reasonable and effective.

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