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Estimation method of battery dump energy based on combined sampling point Kalman filtering

A technology of remaining battery power and Kalman filtering, which is applied in the direction of measuring electrical variables, measuring electricity, and measuring devices, and can solve problems such as poor accuracy and inability to meet online detection requirements

Inactive Publication Date: 2009-12-16
HANGZHOU DIANZI UNIV
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Problems solved by technology

Using the open circuit voltage method, the battery must stand 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; using the ampere-hour method is easily affected by the accuracy of current measurement. Poor accuracy at high temperature or with large current fluctuations

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  • Estimation method of battery dump energy based on combined sampling point Kalman filtering
  • Estimation method of battery dump energy based on combined sampling point Kalman filtering
  • Estimation method of battery dump energy based on combined sampling point Kalman filtering

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Embodiment Construction

[0076] The specific method of the battery remaining power estimation method based on the combined sampling point Kalman filter is:

[0077] Step (1) Measure the battery terminal voltage y at time k through the measuring circuit k and battery supply current i k , k=1, 2, 3, . . .

[0078] Step (2) Use the state equation and the observation equation to represent the state of charge of the battery at each moment, where the state equation: z k + 1 = f ( z k , i k ) + u k = z k - ( η i Δt Q n ...

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Abstract

The invention relates to an estimation method of battery dump energy based on combined sampling point Kalman filtering, and aims to solve the problem that the prior method cannot meet the requirement of online detection and has poor precision. The estimation method comprises the following steps: firstly, measuring battery terminal voltage yk and battery supply current ik at k moment through a measuring circuit; secondly, showing battery state of charge at each moment by a state equation and an observation equation; and finally, estimating the battery dump energy by adopting standard sampling point Kalman filtering. The estimation method has the advantages that the method can conveniently carry out quick estimation of battery SOC and has fast convergence speed and high estimation precision; moreover, the method is suitable for quick estimation of SOC of various batteries.

Description

technical field [0001] The invention belongs to the technical field of lithium batteries, and in particular relates to a method for estimating remaining battery power based on combined sampling point Kalman 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 b...

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Application Information

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