Quasi-optimal energy management method for day running of fuel cell tramcar

Abstract

The invention discloses a quasi-optimal energy management method for day running of a fuel cell tramcar. According to target route information, site information and the train scheduling scheme, the SOC reduction standard of every adjacent sections of an energy storage system in the fuel cell tramcar is obtained; the auto-adapted plan algorithm based on an extreme learning machine is adopted for calculating the optimal power distribution relations of a train in various running sections under different loading conditions, and the optimal power distribution relations comprise a power time curve and a power system SOC change curve and are stored to a car automatic running system in a matrix manner; and the optimal power distribution scheme of the next running section is acquired based on a fuzzy control method in the car automatic running system. The specific parameters of the energy management method of train practical running can be adjusted self-adaptively along with changes of the loadcapacity, the energy consumption level of the train is effectively reduced, and the feasibility that the offline energy management method can be adopted during practical running of the train is improved.

Description

technical field [0001] The invention belongs to the technical field of fuel cell rail locomotives, and in particular relates to an approximate optimal energy management method for daily operation of fuel cell rail cars. Background technique [0002] Fuel cells have the advantages of high energy conversion efficiency and are completely non-polluting to the environment. Therefore, the fuel cell hybrid power system with it as the core has received great attention in recent years, and has been applied to the field of rail transit, forming a new type of hybrid power system. Tram system - fuel cell tram. [0003] Since the fuel cell tram has the characteristics of fixed operating conditions, the offline global optimization design of the energy management of the fuel cell tram can be carried out. In particular, the energy management method designed based on ELM-ADP is the approximate optimization of the control effect in various online and offline methods. However, because the of...

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Problems solved by technology

[0004] In order to solve the above problems, the present invention proposes an approximate optimal energy management method for daily operation of fuel cell trams, which combines off-line optimization and online adjustment, so that the specific parameters of the energy management method for the actual operation of the train can be adjusted accordingly. Adaptive adjustment to the change of load capacity effectively reduces the energy consumption level of the train, solves the problem of poor control effect of the original energy management method in practice, and improves the feasibility of using the off-line energy management method in the actual operation of the train

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