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SOC estimation method of battery of electric vehicle

An electric vehicle battery and battery technology, applied in computing, electrical digital data processing, special data processing applications, etc., can solve the problems of batteries entering the market, achieve compatibility, improve estimation accuracy, and facilitate market circulation

Inactive Publication Date: 2011-02-02
XIANGTAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this solution will face some problems: 1) How to ensure the safe circulation of batteries and avoid counterfeit and inferior batteries from entering the market

Method used

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  • SOC estimation method of battery of electric vehicle
  • SOC estimation method of battery of electric vehicle
  • SOC estimation method of battery of electric vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0014] Embodiment 1, by figure 1 It can be seen that when the electric vehicle is running, the acquisition module 5 collects data such as voltage, current, and temperature from the battery pack, and passes the data to the neural network module 6 as input through A / D conversion; Some inherent information and some loaded information when the battery enters use, the battery type is used as the input of the neural network module 6; at the same time, Q (power), L (cycle times), and C (nominal capacity) are used as life factors The input of the prediction module 7 is to obtain the life factor BLF through analysis and operation, and the life factor is also used as the input of the neural network module 6 . In this way, the SOC estimation is much more accurate than the conventional SOC estimation which only uses the voltage, current and temperature obtained by the acquisition module 5 as input. The neural network is trained through certain input and output samples, and a neural netwo...

Embodiment 2

[0015] Embodiment 2, by figure 1 , figure 2 It can be seen that when the electric vehicle is running, the chip read-write module 8 will read the inherent information of the battery in the battery information chip 9 and the information loaded when the battery enters use, including the number of times the battery has been cycled and the number of times it is expected to be used, and the number of times it has been used before. After the first full charge, the battery power value, the nominal capacity of the battery, etc., store the data in the buffer memory 13, and then store the data in the EEPROM storage module 12 after being processed, so that the life factor module 7 can read the data of the storage module. Some data can also be read directly from the buffer memory 13. The inherent information reading module 11 reads data from the battery chip 9 and outputs the unique battery ID number, that is, the battery type, to the neural network module 6, and outputs its information ...

Embodiment 3

[0016] Embodiment 3, by figure 2 , image 3 It can be seen that the data detection and analysis module 15 detects a series of data such as the nominal capacity of the battery read into the chip read-write module 8, the number of times it has been used, the number of times it is predicted to be used, and the last few charge and discharge records, and analyzes the data. The data block is sent to the processing module 16, and the life factor processing module 16 processes the data according to a predetermined processing algorithm to obtain the life factor BLF of the battery, and outputs the BLF to the neural network module 6 to realize accurate estimation of the SOC value.

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Abstract

The invention relates to an SOC estimation method of a battery of an electric vehicle, which is mainly used for solving the technical problems of safety circulation of the battery, the SOC estimation algorithm of the power battery and the like. The technical scheme provides a chip for implanting information in an ordinary battery pack and a SOC neutral network estimation method based on the type of the battery and a life factor of the battery of the electric vehicle on the basis of certification requirement during the circulation of the battery and analysis of a standard module of a neutral network SOC estimation method. The information chip can ensure the compatibility of a manufacturer, a charging station and the electric vehicle with the battery pack and high safety, avoid leading counterfeit batteries to enter into the circulation field, be easy to construct a unified battery network management information platform and form a stable battery using management market scheme; and the type of the battery, the recorded charge and discharge data in recent plural times and the number of cycles, which are obtained from the information chip in the battery, as well as rated capacity recorded in the chip are inputted into a life factor analysis module, then the life state of the battery is judged, and the type of the battery and the life factor are increased as the input on the basis of taking voltage, current and temperature as the input in a neutral network standard module, thereby realizing the precise estimation of the state of charge of the battery of the electric vehicle.

Description

technical field [0001] The invention relates to a method for estimating the SOC of an electric vehicle battery. Background technique [0002] With the development of energy storage applications such as wind power, photovoltaic cells and hybrid vehicles for high voltage energy, industrial and automotive fields, the application of lithium batteries is becoming more and more popular, which in turn stimulates the demand for safer and higher performance battery monitoring and protection systems need. In order to ensure the good performance of the battery and prolong the service life of the battery, the battery must be managed and controlled reasonably and effectively. The state of charge (SOC) of a power battery is one of the important parameters to characterize the state of the battery. Therefore, accurate measurement of SOC is the guarantee for battery safety and optimal control of charging and discharging energy. [0003] When the vehicle is running, the SOC is one of the im...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 邓清勇段斌谭云强李哲涛张燕刘立刚
Owner XIANGTAN UNIV
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