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SOC estimation method based on Kalman filtering method

A Kalman filter and algorithm technology, applied in the direction of measuring devices, instruments, measuring electronics, etc., can solve the problem of low accuracy of online estimation

Inactive Publication Date: 2019-04-23
ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0004] However, although there are many methods for estimating the SOC of power battery packs in the prior art, the problem of low online estimation accuracy is still common.

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  • SOC estimation method based on Kalman filtering method
  • SOC estimation method based on Kalman filtering method
  • SOC estimation method based on Kalman filtering method

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Embodiment Construction

[0082] In order to make the object, technical solution and effect of the present invention clearer and clearer, the following examples are given to further describe the present invention in detail. It should be pointed out that the specific implementations described here are only used to explain the present invention, not to limit the present invention.

[0083] Step 1. Establishment of the power battery model:

[0084] 1.1 Establish the equivalent circuit model: The equivalent circuit model is used to study the relationship between the battery's terminal voltage, charging and discharging current, operating temperature and other external characteristics, which can well characterize the static and dynamic characteristics of the battery. The cycle intermittent charge and discharge experiments with different charge and discharge rates are carried out on the power battery. The curve after the battery discharge reaction is balanced is as follows: figure 1 As shown, a second-order ...

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Abstract

The invention discloses an SOC estimation method based on a Kalman filtering method, and belongs to the field of power battery management. The method specifically comprises the steps that 1, a power battery model is built, and a precise lithium power battery model is built mainly by determining an equivalent circuit model and based on test data; 2, power battery SOC is estimated; 3, EKF algorithmis adopted to estimate an SOC result and conduct error analysis. The method provided by the invention analyzes the working principle of a lithium ionic battery and builds a power lithium ionic batterydivalent RC equivalent model, identifies the parameter models through laplace transformation and a large number of experiment data, and adopts a matlab platform to estimate the power lithium batterycharge state. The emulation result shows that the model has the good adaptability to the complex working conditions of electric automobiles, not only can the precision of SOC estimation be improved, but also the computing quantity is small, and SOC estimation is easy to achieve.

Description

technical field [0001] The invention belongs to the field of power battery management, and specifically refers to a method for estimating SOC based on a Kalman filtering method. Background technique [0002] In the field of power battery management, research on new power transmission configurations and controllers and more general EMS has become the main development direction of electric vehicles. At present, the core problems restricting the development of electric vehicles, especially PHEV and EV models, are short cruising range, heavy vehicle weight, potential safety hazards, and high prices. However, in the long run, fundamental breakthroughs must be made in terms of battery technology such as improving battery energy density, improving battery safety performance, and reducing battery cost. Research on new power transmission configurations and controllers and more general EMS has become the main development direction of battery energy management for pure electric vehicl...

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Application Information

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IPC IPC(8): G01R31/367
Inventor 王慧乐曹明阳介婧戴世请保昉
Owner ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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