A detection method for a degraded single battery of a battery pack
A single battery and storage battery pack technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of single battery deterioration detection without public reports, and achieve the effect of low cost, simple method and high cost
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Embodiment 1
[0032] The method for detecting the deteriorated single battery of the storage battery pack of the present invention has the following steps:
[0033] Step 1: Conduct a check discharge test on the battery pack;
[0034] Carry out in accordance with the requirements of "Technical Regulations for the Operation and Maintenance of Battery DC Power Supply Units for Power Systems" (DL / T 724-2000). The battery pack is composed of 24 single cells. Sensors are installed on both sides of each single cell to record the voltage, current, average Temperature and other data for subsequent processing.
[0035] The principle of the specific checking discharge experiment is to release 30% to 40% of the capacity of the battery pack. The specific detection standard is to set the cut-off voltage in advance. Once the discharge voltage drops below the set cut-off voltage, the discharge will be terminated.
[0036] A large number of experiments have shown that the battery pack can generally releas...
Embodiment 2
[0065] The difference between this embodiment and embodiment 1 is that in step 2, the method of calculating the skewness coefficient sc is used to judge whether the sample a is normally distributed, and the calculation formula of the skewness coefficient sc is as follows:
[0066]
[0067] Among them, a=(x 1 、x 2 ... x N ), N is the number of batteries in sample a; x i is the voltage value of the i-th battery in sample a, i=1, 2...N; and σ(x) are the mean and standard deviation of each voltage value in sample a respectively, which can be calculated by the following formula:
[0068]
[0069]
[0070] When the calculated skew coefficient sc is between -0.5 and 0.5, the sample a is considered to be normally distributed; otherwise, the sample a is considered not to satisfy the normal distribution.
[0071] The skew coefficient sc of the sample shown in Table 1 is calculated as 0, and the sample a is considered to be normally distributed.
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