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Method of estimating state of charge of battery

A battery state of charge, state of charge technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve problems such as large errors

Inactive Publication Date: 2018-07-24
SHANGHAI LANNUO NEW ENERGY TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve problems such as large errors when using the existing extended Kalman filter algorithm and the ampere-hour integral method to estimate SOC; to provide a method for estimating the state of charge of the battery

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  • Method of estimating state of charge of battery

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Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0046] Such as figure 1 As shown, a method of estimating the state of charge of a battery, the method includes:

[0047] S1, use the ampere-hour integration method to predict the state of charge (SOC) of the battery, and estimate the electromotive force of the battery. Step S1 specifically includes:

[0048] The electromotive force OCV of the battery is estimated by using the estimated state of charge of the battery and the operating temperature of the batte...

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Abstract

The invention discloses a method of estimating the state of charge of a battery, comprising the following steps: pre-estimating the state of charge of a battery through the ampere-hour integration approach, and estimating the electromotive force of the battery; building a second-order discrete RC model for the battery, and obtaining multiple system state variables through estimation according to the pre-estimated state of charge of the battery; calculating and pre-estimating the end voltage of the battery with use of the system state variables and the estimated electromotive force of the battery; using the Kalman filtering algorithm to calculate the gain of each system state variable and the gain of the pre-estimated state of charge of the battery; calculating the weight of the gain of each system state variable and the weight of the pre-estimated state of charge of the battery; and updating at least one system state variable in the second-order discrete RC model or the pre-estimated state of charge of the battery. According to the invention, the ampere-hour integration approach and the Kalman filtering algorithm are adopted, the second-order discrete RC model is built for the battery, and the state variables are updated through four weights and four independent Kalman filters.

Description

technical field [0001] The invention relates to the field of battery state calculation, in particular to a method for estimating the charge state of a battery. Background technique [0002] With the intervention of national regulations and the enhancement of energy and environmental protection awareness, vigorously developing new energy vehicles has become a mainstream solution for energy conservation and emission reduction. Among them, accurate estimation of the State of Charge (SOC) of the power battery is particularly critical for the control system of new energy vehicles. As an important parameter of the battery system, SOC is uploaded to the vehicle network, which has a great impact on the power, economy and pure electric driving range of the vehicle. Especially for some battery systems with strict cost and volume requirements, due to the small total energy, a larger SOC window (such as 10%-90%) is often required to meet the demand for available energy. [0003] The S...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
CPCG01R31/367
Inventor 顾晨林
Owner SHANGHAI LANNUO NEW ENERGY TECH CO LTD
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