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Energy management method, model training method and device for hybrid power equipment

A technology of hybrid power and energy management, applied in neural learning methods, biological neural network models, electric vehicles, etc., to achieve strong stability, high real-time performance, and fast convergence speed

Pending Publication Date: 2021-04-06
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The embodiment of the present application provides an energy management method, model training method and device for a hybrid device, which can solve the problem of how to solve the energy management of a hybrid device in the related art

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  • Energy management method, model training method and device for hybrid power equipment
  • Energy management method, model training method and device for hybrid power equipment
  • Energy management method, model training method and device for hybrid power equipment

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Embodiment Construction

[0043]In order to make the purpose, technical solutions and advantages of the present application, the present application will be further described in detail below with reference to the accompanying drawings.

[0044]It should be understood that "multiple" mentioned in the present application refers to two or more. In the description of the present application, unless otherwise indicated, " / " means, for example, A / B can represent a or B; "and / or" herein is merely a relationship of associated objects, There may be three relationships, such as A, and / or B, which may be represented: Alone A, while there are three cases of B, alone, alone. Further, in order to facilitate the understanding of the technical solution of the present application, the same item or similar items such as "first", "second", and substantially identical items are made substantially the same. Those skilled in the art will appreciate that the words "first", "second" are not limited to the number and execution or...

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Abstract

The invention discloses an energy management method and device and a model training method and device for hybrid power equipment, and belongs to the technical field of hybrid power equipment. The method comprises the steps of obtaining state data of the hybrid power equipment in a current state to obtain first state data; inputting the first state data into a first SAC model, and outputting first action data based on the first state data through the first SAC model, wherein the first action data is used for determining target power of a plurality of energy units in the hybrid power equipment in the current state, and the target power comprises output power or input power; and performing energy management on the hybrid power equipment based on the first action data. Energy management is carried out through the first SAC model, so the energy management has higher real-time performance and higher stability, and the energy management problem of the hybrid power equipment is solved.

Description

Technical field[0001]The present application relates to the technical field of hybrid equipment, and in particular, to an energy management method, model training method, and apparatus for hybrid power equipment.Background technique[0002]At present, in the context of energy conservation and emission reduction, green environmental protection and sustainable development, hybrid equipment is gradually widely used. Hybrid equipment typically includes a plurality of power output features different energy units, such as mixing power vehicles typically include two energy units of lithium battery packs and supercapacitor assemblies. That is, a hybrid device refers to a device with a plurality of energy sources.[0003]In the application process, if the energy consumption of the hybrid equipment is large, it is not conducive to energy conservation and emission reduction policies, which is not conducive to equipment promotion. Therefore, hybrid equipment faces how to efficiently utilize multi-e...

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Application Information

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IPC IPC(8): G06F30/27G06N3/04G06N3/08B60L50/40B60L50/60B60L50/70G06F111/10G06F119/14
CPCG06F30/27G06N3/08B60L50/60B60L50/40B60L50/70G06F2111/10G06F2119/14G06N3/045Y02T10/70Y02T90/40
Inventor 郑春花许德州崔允端
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI