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

A technology for trams and fuel cells, which can be used in power management, battery/fuel cell control devices, electric vehicles, etc., and can solve problems such as poor control effects.

Active Publication Date: 2019-12-10
SOUTHWEST JIAOTONG UNIV
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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 adj...

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

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Embodiment Construction

[0066] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention is further described below with reference to the accompanying drawings.

[0067] In this example, see figure 1 As shown, the present invention proposes an approximate optimal energy management method for daily operation of a fuel cell tram, comprising the steps of:

[0068] S100, the state data of the target line is obtained by the fuel cell tram operation department, including the train scheduling plan, the speed and position curve of a single train, and the vehicle parameter data;

[0069] S200, according to the target line information, site information and train scheduling plan, obtain the SOC reduction standard of each adjacent section of the energy storage system in the fuel cell tram, so that the train starts running with the full power of the energy storage system every day, and the minimum power End operation to reduce the actual hydrogen ...

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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...

Claims

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Application Information

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IPC IPC(8): B60L58/30
CPCB60L58/30B60L2200/26Y02T10/72Y02T90/40
Inventor 陈维荣张国瑞李奇
Owner SOUTHWEST JIAOTONG UNIV
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