Hidden Markov model calculation method for describing driving behavior of electric vehicle

A technology of electric vehicles and model calculations, applied in calculations, computer components, complex mathematical operations, etc., can solve problems such as increasing the burden on the power grid

Inactive Publication Date: 2017-12-22
HOHAI UNIV +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If electric vehicles can be charged at the moment of new energy power generation, this problem can be solved. On the contrary, if electric vehicles are charged when the grid load is at its peak, it may increase the burden on the grid and bring new problems

Method used

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  • Hidden Markov model calculation method for describing driving behavior of electric vehicle
  • Hidden Markov model calculation method for describing driving behavior of electric vehicle
  • Hidden Markov model calculation method for describing driving behavior of electric vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0199] Collect the driving data of an electric car for 150 days. The data includes: date, start time of the trip, and end time of the trip. Statistics found that the itinerary contained 799 itineraries. The data collection interval is 1 minute.

[0200] The data set is divided into two parts: working days and rest days. Taking working days as an example, the statistics of the driving frequency of electric vehicles are calculated. See the attached image 3 .

[0201] According to the statistical results of the daily use frequency of electric vehicles, discrete Markov modeling is performed on dates with a frequency of less than 3 times, and continuous Markov modeling is performed on dates with a frequency greater than or equal to 3 times.

[0202] Suppose there is a four-state model, that is, state 1 means that the electric car is parked at home, state 2 means that the electric car is driving, the starting point is home, state 3 means that the electric car is stopped (not at h...

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PUM

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Abstract

The present invention discloses a hidden Markov model calculation method for describing a driving behavior of an electric vehicle. The method comprises: modeling a driving condition of a single electric vehicle by using a hidden Markov chain, and describing a change of the driving condition of the electric vehicle within a period of time. According to the method, the change of the usage of the electric vehicle can be flexibly captured, and according to needs, can be described using a travel start time, a travel ending time, a travel start location and a travel ending location, etc. Because of a large quantity of parameters to be estimated, a B-spline method is used to convert a model into a generalized linear model, and spline nodes are selected reasonably, so as to reduce the quantity of parameters to be estimated.

Description

technical field [0001] The invention designs a hidden Markov model calculation method for describing the driving behavior of electric vehicles, and belongs to the technical field of driving behavior of electric vehicles. Background technique [0002] Electric vehicles can achieve "zero emissions" during driving, and can be charged with new energy to absorb renewable energy. The energy sources that can charge electric vehicles, such as wind energy, solar energy, and tidal energy, are uncertain. If there is no large-capacity energy storage, these new energy sources must be consumed while generating electricity to ensure the stability of the grid. If electric vehicles can be charged at the moment of new energy generation, this problem can be solved. On the contrary, if electric vehicles are charged when the grid load is at its peak, it may increase the burden on the grid and bring new problems. Therefore, it is necessary to blindly let a large number of electric vehicles charg...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06K9/62G06Q10/04G06Q10/06
CPCG06F17/18G06Q10/04G06Q10/0637G06F18/295
Inventor 陈星莺徐书洋张玮谢俊余昆金颋钱科军沈杰潘雨晴
Owner HOHAI UNIV
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