Battery dump energy estimation method based on particle filtering

A technology of remaining battery power and particle filtering, which is applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve the problems of inability to meet online detection and poor accuracy, and achieve the effect of high estimation accuracy and fast convergence speed.

Active Publication Date: 2011-08-31
HANGZHOU DIANZI UNIV
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Problems solved by technology

When the battery SOC is estimated by the open circuit voltage method, the battery must be left for a long time to reach a stable state, and it is only suitable for the SOC estimation of the electric vehicle in the parking state, which cannot meet the online detection requirements
The ampere-hour method is easily affected by the accuracy of current measurement, and the accuracy is very poor in the case of high temperature or severe current fluctuations

Method used

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  • Battery dump energy estimation method based on particle filtering
  • Battery dump energy estimation method based on particle filtering
  • Battery dump energy estimation method based on particle filtering

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Experimental program
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Embodiment Construction

[0046] The specific steps of the method for estimating the remaining battery power based on particle filter are:

[0047] Step (1) measure at battery terminal voltage at time and battery supply current.

[0048] Step (2) Use state equation and observation equation to express the state of charge of the battery at each moment:

[0049] Equation of state:

[0050] Observation equation:

[0051] in is the state of charge (State of Charge, SOC) of the battery, that is, the remaining power; It is the discharge proportional coefficient of the battery, which reflects the influence of discharge rate, temperature, self-discharge, aging and other factors on the battery SOC; is the battery at room temperature 25 The rated total electricity that can be obtained when discharging at a discharge rate of 1 / 30 times the rated current under the specified conditions, is the measurement time interval, to deal with noise. , , , , is a constant, , is the parameter of...

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Abstract

The utility model relates to a battery remaining energy estimation method based on particle filtering. A current method can not satisfy the online detection requirement and has poor precision. In the method, a battery end voltage and a battery power supply current at the moment are measured firstly; then the charge states of the battery at each moment are represented by a state equation and an observational equation; initialization process is implemented then; and a particle filtering arithmetic is adopted for implementing circular recursion; and the state estimation value obtained through recursion is the battery remaining energy at the moment obtained by estimation. Quick estimation on the battery remaining energy can be conveniently implemented through the battery dump energy estimation method based on particle filtering. The battery remaining energy estimation method based on particle filtering has quick convergence rate and high estimation precision.

Description

technical field [0001] The invention belongs to the technical field of batteries, and in particular relates to a method for rapidly estimating remaining battery power based on particle filtering. Background technique [0002] As a backup power source, batteries have been widely used in communications, power systems, military equipment and other fields. Compared with traditional fuel vehicles, electric vehicles can achieve zero emissions, so they are the main development direction of future vehicles. In an electric vehicle, the battery is directly used as an active energy supply component, so its working condition is directly related to the driving safety and operational reliability of the entire vehicle. In order to ensure the good performance of the battery pack in electric vehicles and prolong the service life of the battery pack, it is necessary to know the operating status of the battery in a timely and accurate manner, and manage and control the battery reasonably and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
Inventor 何志伟高明煜曾毓黄继业
Owner HANGZHOU DIANZI UNIV
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