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Big-data-based SOH estimation method

A big data and calculation technology, applied in the direction of measuring devices, instruments, measuring electricity, etc., can solve the problems of long cycle and large amount of data, and achieve the effects of saving manpower and material resources, improving accuracy, and wide applicability

Inactive Publication Date: 2018-09-18
CHENGDU RAJA NEW ENERGY AUTOMOTIVE TECH CO LTD
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Problems solved by technology

This method requires a large number of tests in the early stage to obtain data on capacity, voltage, and temperature under different currents and different cycle times. The cycle is long and the amount of data is large, requiring a lot of manpower and material resources. Batteries retested and matched

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Embodiment Construction

[0020] Attached below figure 1 The present invention is further described.

[0021] A method for estimating SOH based on big data, comprising the steps of:

[0022] 1) Calculate the rated capacity of the power battery when the power battery leaves the factory, and upload it to the big data cloud platform for storage;

[0023] 2) Every time the power battery is DC charged, the relevant data of the power battery is collected and uploaded to the big data platform. The big data platform filters the uploaded data according to the preset filtering conditions, and calculates that the power battery is within a specific voltage range. It should be understood that the voltage of the power battery will slowly increase during the DC charging process, and the big data platform will calculate the voltage of the power battery within the preset lower limit voltage to upper limit voltage range based on the uploaded data. real-time capacity.

[0024] 3) Calculate the average capacity of each...

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Abstract

The invention, which relates to the function algorithm field of automotive power batteries, aims at providing a big-data-based SOH estimation method having high applicability, thereby saving the manpower. The method comprises: step one, the rated capacity of a power battery is measured and the measured rated capacity is uploaded to a bid data platform for storage; step two, when the power batterycarries out direct-current charging each time, related data of the power battery are collected and the collected data are uploaded to the big data platform, and the big data platform calculates a real-time capacity of the power battery and stores the real-time capacity; step three, a monthly average capacity is calculated based on the stored real-time capacity and a relative SOH is calculated based on a ratio of the average capacity to the rated capacity; step four, polynomial fitting is carried out to obtain a fitting curve of the relative SOH; and step five, when new relative SOH data are obtained, the fitting curve obtained by the step four is corrected. Therefore, the manpower is saved. The method has the high applicability.

Description

technical field [0001] The invention relates to the field of vehicle power battery function algorithms, in particular to a method for estimating SOH based on big data. Background technique [0002] SOH refers to the state of health of the battery. As the battery usage time increases, the battery will gradually age, and phenomena such as increased internal resistance and battery capacity attenuation will occur, which will have a great impact on the use of the battery and BMS related algorithms, so always pay attention to the battery The health of the battery becomes the key to the battery application process. [0003] The current method of estimating SOH is mainly to obtain the relationship between SOH and battery voltage and temperature through the accumulation of charge and discharge tests in the laboratory in the early stage, and then compare it with the actual vehicle data in the later stage to obtain the current health status of the battery and predict the changes in the...

Claims

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Application Information

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IPC IPC(8): G01R31/36
CPCG01R31/3648
Inventor 廖茜陕亮亮陈柯宇
Owner CHENGDU RAJA NEW ENERGY AUTOMOTIVE TECH CO LTD
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