Battery performance evaluation method under different application scenes

A technology for application scenarios and battery performance, applied in data processing applications, instruments, predictions, etc., can solve problems such as complex decision-making process, inability to fully consider the balance of quantifiable and non-quantifiable goals, and lack of targeted evaluation indicators, etc., to achieve The effect of increased feasibility

Active Publication Date: 2021-04-06
NORTH CHINA UNIVERSITY OF TECHNOLOGY +2
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

In general, scholars at home and abroad have explored the application scenarios of energy storage systems to a certain extent, but how to carry out the scheduling of energy storage systems in different application scenarios and evaluate the extent to which the maximum economic benefits can be achieved is lack of targeted evaluation. index
[0004] In the process of management decision-making, many quantifiable and non-quantifiable objectives and variables will be involved, and many factors need to be considered to achieve a balance between indicators and maximize certain relatively important objectives. The decision-making process is more complex
[0005] However, the current single decision support model at home and abroad has many deficiencies both in theory and in application. Development and utilization cannot be used as a scientific and reliable decision-making basis to guide the decision-making department to form the final decision.

Method used

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  • Battery performance evaluation method under different application scenes
  • Battery performance evaluation method under different application scenes
  • Battery performance evaluation method under different application scenes

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Embodiment

[0029] The battery performance evaluation method in different application scenarios includes the following steps:

[0030] Step 1: The overall goal is set to the comprehensive performance of the battery. The index layer is divided into two layers. The first-level indicators include three application scenarios: smoothing intermittent power fluctuations, peak-shaving and valley-filling, and increasing reserve capacity, and each index corresponds to a Group secondary indicators, namely: power density, energy density and internal resistance;

[0031] Step 2: The ratio of the first-level indicator to the total target is the installed capacity of the application scenario. This item is obtained from expert experience, and the relative importance level is determined according to the nine-level scaling method, and then the pairwise comparison matrix module is constructed; specifically The process includes:

[0032] Step 2.1: Construct a matrix module, which is used to receive the rela...

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Abstract

The invention relates to a battery performance evaluation method under different application scenes. The evaluation method comprises the following steps that a total target is set as the comprehensive performance of a battery, an index layer is divided into two layers, first-level indexes comprise three application scenes of smooth intermittent power supply power fluctuation, peak clipping and valley filling and spare capacity increase, and each index corresponds to a group of second-level indexes, namely power density, energy density and internal resistance; paired comparison matrix modules A, B, C and D are constructed by taking a total target as an installed capacity proportion of an application scene as a primary index; a maximum characteristic value and a corresponding characteristic vector are respectively calculated, normalization processing is carried out, and consistency verification is carried out; multiplying and summing is performed the feature vector of the application scene weight and the second-level weight combination feature vector to obtain the battery performance corresponding to the maximum value in the vectors, namely the optimal performance index. According to the invention, the optimal performance index of the battery can be quantitatively calculated.

Description

Technical field: [0001] The invention relates to an energy storage system battery, and further relates to a battery performance evaluation method in different application scenarios. Background technique: [0002] As large-scale energy storage systems are gradually connected to the grid on a large scale, large-scale energy storage systems must not only smooth intermittent power fluctuations and realize peak shaving and valley filling, but also gradually increase reserve capacity to meet the safety and reliability of users' electricity consumption. demand, thus providing strong support for the construction of an environmentally friendly smart distribution network and energy Internet. [0003] In recent years, international and domestic energy storage-related enterprises have fully considered a series of energy storage battery-related parameters such as power density, energy density, and energy storage battery internal resistance based on their actual operating conditions and b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06
CPCG06Q10/06393G06Q10/04G06Q50/06Y02E60/10
Inventor 李建林屈树慷马速良李雅欣武亦文李光辉
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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