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Electric vehicle active sequencing charging control method based on layer-by-layer optimization strategy

A charging control method and electric vehicle technology, applied in the field of control, can solve the problems of increasing the peak-valley difference of the power grid and disrupting the stable operation of the distribution network, so as to achieve the effects of reducing the peak-valley difference, improving the economy of the power grid, and reducing the difficulty of control

Active Publication Date: 2018-12-28
SHENYANG INST OF ENG
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  • Claims
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AI Technical Summary

Problems solved by technology

Due to the temporal and spatial randomness of the electric vehicle load, the large-scale charging load of electric vehicles will lead to the increase of the peak-to-valley difference of the power grid and disrupt the stable operation of the distribution network.

Method used

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  • Electric vehicle active sequencing charging control method based on layer-by-layer optimization strategy
  • Electric vehicle active sequencing charging control method based on layer-by-layer optimization strategy
  • Electric vehicle active sequencing charging control method based on layer-by-layer optimization strategy

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Embodiment Construction

[0059] like Figure 1-3 As shown, the present invention includes an electric vehicle active sorting and charging control method based on a dynamic programming layer-by-layer optimization strategy, which refers to establishing a dynamic programming layer-by-layer optimization in consideration of battery characteristics and driving rules of different electric vehicles. The optimal charging strategy for a single electric vehicle is determined by the exhaustive method through the inner layer optimization, and the outer layer is optimized according to the inner layer optimization result, and the outer layer uses the dynamic programming method to actively sequence and control the charging of electric vehicles, thereby reducing The load peak-valley difference is reduced, and the stability of power grid operation is improved. The specific steps are:

[0060] Step 1) Obtain battery characteristics and parameters related to driving rules;

[0061] Step 2) The inner layer is establishe...

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Abstract

The invention relates to a control method, in particular to an electric vehicle active sorting charging control method based on a layer-by-layer optimization strategy. The utility model can more effectively and reliably carry out the sequential charging of the electric vehicle. Considering the characteristics of batteries and driving rules of different electric vehicles, the dynamic programming isestablished to optimize the batteries step by step. The optimal charging strategy of a single electric vehicle is determined by the exhaustive method, the outer layer is optimized according to the results of the inner layer optimization, and the outer layer is controlled by the dynamic programming method to charge the electric vehicle actively.

Description

technical field [0001] The invention relates to a control method, in particular to a layer-by-layer optimization strategy-based active sequencing charging control method for electric vehicles. Background technique [0002] In the context of the energy crisis and environmental pollution, human beings urgently need to adjust the energy structure. The primary energy has changed from traditional fossil energy to low-carbon, clean renewable energy and new energy. In the final consumption and utilization of energy, electric vehicles are an efficient, low-carbon and environmentally friendly transportation. Tools have a significant positive effect on the efficient use of energy, and their development and popularization will have a profound and long-term impact on the human energy revolution. [0003] In today's energy crisis and increasingly serious environmental pollution problems, the large-scale use of electric vehicles will become an inevitable trend. Due to the temporal and s...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60L11/18
Inventor 叶鹏姚天昊安宁赵思雯何金松崔成双赵叙龙顾盈之牛潇
Owner SHENYANG INST OF ENG