Parameter matching joint optimization method of fuel cell hybrid tramcar

Abstract

The invention discloses a parameter matching joint optimization method of a fuel cell hybrid tramcar. The method includes: according to operation needs and target route conditions, designing tramcar power system indexes and tramcar operation conditions and determining the parameter feasible region of a fuel cell hybrid power system to form a preliminary parameter matching alternative scheme; usingwhole life cycle cost, service time and the power performance of the whole tramcar as the optimization targets to build a multi-target optimization function, using the self-adaptation swarm intelligent optimization algorithm based on probability indexes to complete load allocation under optional parameter combination, and using the load allocation when the value of the multi-target optimization function is minimum as the optimal allocation result under the parameter matching combination; traversing all alternative parameter combinations, and searching for the global optimum on the basis of the individual optimum to complete the optimal parameter matching optimization calculation of the fuel cell hybrid tramcar. By the method, hydrogen consumption can be reduced effectively, the efficiencyof the whole tramcar can be increased, and optimal economical efficiency during operation can be achieved.

Description

technical field [0001] The invention belongs to the technical field of hybrid power, in particular to a joint optimization method for parameter matching of a fuel cell hybrid electric tram. Background technique [0002] For a long time, fossil energy has been the main source of energy for human survival, which not only caused huge pollution and damage to the ecological environment, but also accelerated the speed of its depletion due to the large-scale adoption of fossil energy. The progress and development of human society cannot be separated from the support of energy, so human beings began to pay attention to the development and use of clean energy. Among many clean energy sources, hydrogen energy is the ultimate energy source for human society, and it is characterized by high efficiency and cleanliness. The collection and storage technology of hydrogen energy is very mature, and its technical application has also been greatly developed. Among them, fuel cells are the mai...

AI Technical Summary

Problems solved by technology

However, the design of the existing method does not consider the load power distribution during the locomotive operation process, that is, the in-depth study of the energy management in the later stage is not carried out during the parameter matching process, resulting in excessive redundancy in the design of the vehicle power system, resulting in waste of loading equipment and Increased operation and maintenance costs

Images