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Identification method of battery pack inconsistency

An identification method and battery pack technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve problems affecting the performance of battery packs, and achieve the effect of improving power performance

Inactive Publication Date: 2017-08-04
UNIV OF SHANGHAI FOR SCI & TECH
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AI Technical Summary

Problems solved by technology

However, during the use of the battery pack, due to the inconsistent environment such as the temperature or working conditions of the cells, the differences between the cells in the battery pack will gradually appear.
If the necessary balance measures are not taken for the inconsistency of the battery pack, it will further affect the performance of the battery pack

Method used

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  • Identification method of battery pack inconsistency
  • Identification method of battery pack inconsistency

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Embodiment Construction

[0022] The invention realizes the identification of the inconsistency of the battery pack with a low calculation amount by combining the frequency division model (including the average battery model and the differential battery model) with the EKF algorithm, and can realize the inconsistency estimation of the battery pack under the existing hardware conditions. The Kalman filter EKF is used to estimate the internal state variable, namely x k , the output value y k It is only used to compare with the actual measured comparison value, and then update x k estimated value.

[0023] Such as figure 1 The circuit diagram of the embodiment for identifying the inconsistency of the battery pack is shown, which specifically includes the following steps:

[0024] S1, using the current sensor, the voltage sensor and the temperature sensor to collect the working data of the battery pack;

[0025] S2, using such as figure 2 The second-order RC model shown is the overall characteristics...

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Abstract

The invention relates to an identification method of battery pack inconsistency. A frequency division model is adopted. An average battery model and a differential battery model are included. An extended Kalman filter EKF algorithm is combined to realize identification of battery pack inconsistency. The method comprises the following steps of firstly, using a current sensor, a voltage sensor and a temperature sensor to collect work data of a battery pack; further, using the average battery model, combining an EKF algorithm and using a high frequency mode to estimate an average charge state of the battery pack; and finally, near an average SOC of the battery pack, using the differential battery model, combining the EKF algorithm and using a low frequency mode to estimate a difference between a monomer battery SOC and the average SOC of the battery pack. In the invention, the battery pack inconsistency can be accurately identified through a low calculated amount, then battery pack equalization or fault diagnosis is realized, and dynamic performance, safety and endurance of the battery pack are increased.

Description

technical field [0001] The invention relates to a battery technology, in particular to a method for identifying the inconsistency of a battery pack. Background technique [0002] With the deteriorating global environment and the vigorous development of electric vehicles and electric energy storage, power batteries are widely valued as the main power source. Single cells are limited by their performance parameters such as voltage, capacity, and power, and often cannot be used alone in fields such as electric vehicles and electric energy storage. Instead, single cells need to be connected in series and parallel to form a group before use. [0003] The inconsistency of the battery pack is the most significant feature that distinguishes the battery pack from the battery cells, and its inconsistency further affects the power, safety and durability of the battery pack. In addition, some batteries are sensitive to overcharging and overdischarging, both of which can cause permanent...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
CPCG01R31/388G01R31/3842
Inventor 高文凯郑岳久欧阳明高周龙
Owner UNIV OF SHANGHAI FOR SCI & TECH
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